desk research literature review

A Quick Overview: Differences Among Desk, Literature, and Learning Reviews

November 12, 2020

By: Chelsie Kuhn, MEL Associate, Headlight Consulting Services, LLP

This is the first post in a series of two about Learning Reviews .

In order to chart the wisest path forward, we need to understand where we have been. Reflecting on past learning can ensure more effective and efficient efforts in the future, regardless of discipline or field. But different information needs require different tools. Literature, Desk, and Learning Reviews are three ways to integrate evidence into decision-making and design processes. Each tool uses varying degrees of information and rigor, and each is best suited for different applications, as described in the visual below.

A Literature Review traditionally focuses on academic journal articles and published books, giving readers a theoretical or case-based frame of reference. A Literature Review may be appropriate for researchers looking to set up an experiment or randomized control trial in a location or those looking at theoretical development over time. This kind of review is all about synthesis of what we know research-wise up to the current point, and what potential gaps exist yet to be filled.

Another type of review widely known is a Desk Review, which serves to provide readers with an introduction into a project’s context and priorities, but often not the past learnings or in-depth challenges needed to inform strategy development. A Desk Review can also serve as an entry point to understanding a particular market or an effective way to organize and summarize disparate types of information. Doing a Desk Review might be appropriate to bring a new team member up to speed on projects or learn about the current state and environment concerning a particular type of intervention.

While Literature and Desk Reviews may be more commonly known, one of the offerings that Headlight specializes in is a Learning Review. A Learning Review is a way to systematically look at past assessments, evaluations, reports, and any other learning documentation in order to inform recommendations and strategy, program, or activity design efforts. Unlike Desk Reviews, Learning Reviews focus on coding and analyzing data instead of summarizing it. With layers of triangulation and secondary analysis built into the process, we can confidently draw findings and conclusions knowing that the foundation of the process is built with rigor. Recommendations stemming from these findings and conclusions serve as the best use of an existing evidence base in designing or revisiting strategies, programs, and activities. Each of these three tools are useful at different points, but as we see more and more emphasis placed on learning and adaptive management, Learning Reviews offer a more rigorous and application focused use of available evidence.

As a synthesis of past evaluations and assessments, Learning Reviews should also be used to feed into new MEL or CLA plans. Having extra information on what has worked in the past, what information was useful, and where more-nuanced information would be beneficial enables us to set better targets and understand potential barriers to measurement. Recommendations may even point to specific indicators to consider or CLA actions to integrate into programming moving forward. Learning Reviews can also be used to appropriately scope and identify future evaluative efforts that will evolve the evidence base.

In the next post in the series, we will expand further on Learning Reviews as a process and walk readers step-by-step through how to conduct one. If you need help implementing any of these above tools, but in particular a Learning Review, Headlight would love to support you! We have the breadth and depth of expertise, experience, and toolbox to tailor-meet your needs. For more information about our services please email [email protected] . Headlight Consulting Services, LLP is a certified women-owned small business and therefore eligible for sole source procurements. We can be found on the Dynamic Small Business Search or on SAM.gov via our name or DUNS number (081332548).

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Desk research

What is it and how do you conduct it properly, deskresearch.

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What is desk research?

Desk research vs. literature reviews, desk research as a research method, how do you properly tackle desk research, where do you find information for desk research.

Desk research means that you use previously collected data for your research instead of collecting it yourself. You answer your research question based on the existing data you analyze. This might include previous literature, company information, or other available data. What exactly is desk research and how do you conduct it properly?

When you do desk research, you collect existing data and use it to learn more about your research topic. You are not collecting quantitative or qualitative data yourself through things like surveys, interviews or observations.

In desk research, you work with secondary data (data collected by someone else). In field research, on the other hand, you work with primary data (data you collected yourself).

Desk research is an especially relevant research method if a lot of information on a topic is already available and/or if it is difficult to collect this data yourself. This type of research is less appropriate if you are one of the first to research the topic.

Often the terms "desk research" and "literature review" are used interchangeably. However, they don't mean exactly the same thing.

A literature review (also called "narrative review") is designed to gain more theoretical knowledge about a topic.

In desk research you collect existing research results or factual results in order to use them to explain a certain phenomenon. In doing so, you often answer an explanatory research question. You investigate a possible connection between variables.

You can use desk research as a research method on its own in your thesis. Your entire thesis research will then consist of desk research. In that case, you describe the results of the desk research in the results chapter. In the method chapter you explain how you approached the research.

It is also possible for you to use desk research as a stepping stone to a study that you will conduct yourself with data you have collected yourself. You arrive at hypotheses or theories through desk research that you then test through your own data collection. When you use desk research in this way, you incorporate its results into the theoretical framework. This type of research is called deduction .

You can also use desk research to supplement, for example, surveys, interviews , an experiment, or observations. In these cases, desk research can help explain the results you found.

If you are going to conduct desk research, you need to go through a number of stages to do so. For example, it is important that you select the right sources and report on the sources in a logical way. To do this, take the following steps:

Determine appropriate search terms. First, determine what search terms you will use to find sources through, for example, your educational institution's online library or Google Scholar. Often, you will use terms that appear in your problem statement or research question. Search for English search terms and any other languages you may want to include.

Find appropriate sources. You do this with the chosen search terms, but also, for example, by looking in the list of found sources. Perhaps there is another useful source cited by one of the articles you read through. Save all sources in one convenient folder and put them in your bibliography so you don’t forget them.

Determine which sources are relevant. Not all sources found are equally relevant to your topic. You also want to avoid having so many sources that you cannot see the forest for the trees. Check whether the sources you have found actually match your problem, research question, and research goal. Also check the reliability of the source. Ideally you should mostly use sources from leading journals and from authors who are affiliated with a scientific institute.

Incorporate the sources you found into your text. Are you doing a quantitative analysis? If so, you will first use SPSS or Excel. Are you referring verbatim to content from the sources? Then it's mainly a matter of putting relevant content together correctly in your thesis. Make sure you create a logical thread, for example by discussing sources by topic or in chronological order.

Review the bibliography. Make sure all sources from your desk research are correctly listed in the bibliography. Also, check the source citation. Make sure your sources are formatted in APA style (or the source citation style that applies to your course).

The sources you use must be relevant and reliable. You cannot use sources like Wikipedia. In terms of sources, consider, for example:

scholarly articles (which you can find through Google Scholar and your university or college's online library, among others);

statistics from organizations such as the Central Bureau of Statistics or other reputable research institutions;

LexisNexis: a database of newspapers where you can find all kinds of news sources;

reliable databases within your field;

collections published with an academic publisher;

annual reports or corporate reports;

reports from other agencies;

literature;

documents from archives;

reports from the municipality, for example;

photographs or art objects.

Sometimes you can use very different types of sources for your research. For example, are you doing research on Instagram posts? Then, of course, you can collect existing Instagram posts on social media for that purpose and they count as sources.

Getting your sources checked

For desk research you often use a large number of sources. Unfortunately, it is easy to make an error when citing your sources. Do you want to prevent errors from creeping in unnoticed? Have your sources checked by one of our editors. They will review every source manually and ensure that all sources are correctly listed in your bibliography.

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Methodology

How to Write a Literature Review | Guide, Examples, & Templates

How to Write a Literature Review | Guide, Examples, & Templates

Published on January 2, 2023 by Shona McCombes . Revised on September 11, 2023.

What is a literature review? A literature review is a survey of scholarly sources on a specific topic. It provides an overview of current knowledge, allowing you to identify relevant theories, methods, and gaps in the existing research that you can later apply to your paper, thesis, or dissertation topic .

There are five key steps to writing a literature review:

Search for relevant literature
Evaluate sources
Identify themes, debates, and gaps
Outline the structure
Write your literature review

A good literature review doesn’t just summarize sources—it analyzes, synthesizes , and critically evaluates to give a clear picture of the state of knowledge on the subject.

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What is the purpose of a literature review, examples of literature reviews, step 1 – search for relevant literature, step 2 – evaluate and select sources, step 3 – identify themes, debates, and gaps, step 4 – outline your literature review’s structure, step 5 – write your literature review, free lecture slides, other interesting articles, frequently asked questions, introduction.

Quick Run-through
Step 1 & 2

When you write a thesis , dissertation , or research paper , you will likely have to conduct a literature review to situate your research within existing knowledge. The literature review gives you a chance to:

Demonstrate your familiarity with the topic and its scholarly context
Develop a theoretical framework and methodology for your research
Position your work in relation to other researchers and theorists
Show how your research addresses a gap or contributes to a debate
Evaluate the current state of research and demonstrate your knowledge of the scholarly debates around your topic.

Writing literature reviews is a particularly important skill if you want to apply for graduate school or pursue a career in research. We’ve written a step-by-step guide that you can follow below.

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Writing literature reviews can be quite challenging! A good starting point could be to look at some examples, depending on what kind of literature review you’d like to write.

Example literature review #1: “Why Do People Migrate? A Review of the Theoretical Literature” ( Theoretical literature review about the development of economic migration theory from the 1950s to today.)
Example literature review #2: “Literature review as a research methodology: An overview and guidelines” ( Methodological literature review about interdisciplinary knowledge acquisition and production.)
Example literature review #3: “The Use of Technology in English Language Learning: A Literature Review” ( Thematic literature review about the effects of technology on language acquisition.)
Example literature review #4: “Learners’ Listening Comprehension Difficulties in English Language Learning: A Literature Review” ( Chronological literature review about how the concept of listening skills has changed over time.)

You can also check out our templates with literature review examples and sample outlines at the links below.

Download Word doc Download Google doc

Before you begin searching for literature, you need a clearly defined topic .

If you are writing the literature review section of a dissertation or research paper, you will search for literature related to your research problem and questions .

Make a list of keywords

Start by creating a list of keywords related to your research question. Include each of the key concepts or variables you’re interested in, and list any synonyms and related terms. You can add to this list as you discover new keywords in the process of your literature search.

Social media, Facebook, Instagram, Twitter, Snapchat, TikTok
Body image, self-perception, self-esteem, mental health
Generation Z, teenagers, adolescents, youth

Search for relevant sources

Use your keywords to begin searching for sources. Some useful databases to search for journals and articles include:

Your university’s library catalogue
Google Scholar
Project Muse (humanities and social sciences)
Medline (life sciences and biomedicine)
EconLit (economics)
Inspec (physics, engineering and computer science)

You can also use boolean operators to help narrow down your search.

Make sure to read the abstract to find out whether an article is relevant to your question. When you find a useful book or article, you can check the bibliography to find other relevant sources.

You likely won’t be able to read absolutely everything that has been written on your topic, so it will be necessary to evaluate which sources are most relevant to your research question.

For each publication, ask yourself:

What question or problem is the author addressing?
What are the key concepts and how are they defined?
What are the key theories, models, and methods?
Does the research use established frameworks or take an innovative approach?
What are the results and conclusions of the study?
How does the publication relate to other literature in the field? Does it confirm, add to, or challenge established knowledge?
What are the strengths and weaknesses of the research?

Make sure the sources you use are credible , and make sure you read any landmark studies and major theories in your field of research.

You can use our template to summarize and evaluate sources you’re thinking about using. Click on either button below to download.

Take notes and cite your sources

As you read, you should also begin the writing process. Take notes that you can later incorporate into the text of your literature review.

It is important to keep track of your sources with citations to avoid plagiarism . It can be helpful to make an annotated bibliography , where you compile full citation information and write a paragraph of summary and analysis for each source. This helps you remember what you read and saves time later in the process.

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To begin organizing your literature review’s argument and structure, be sure you understand the connections and relationships between the sources you’ve read. Based on your reading and notes, you can look for:

Trends and patterns (in theory, method or results): do certain approaches become more or less popular over time?
Themes: what questions or concepts recur across the literature?
Debates, conflicts and contradictions: where do sources disagree?
Pivotal publications: are there any influential theories or studies that changed the direction of the field?
Gaps: what is missing from the literature? Are there weaknesses that need to be addressed?

This step will help you work out the structure of your literature review and (if applicable) show how your own research will contribute to existing knowledge.

Most research has focused on young women.
There is an increasing interest in the visual aspects of social media.
But there is still a lack of robust research on highly visual platforms like Instagram and Snapchat—this is a gap that you could address in your own research.

There are various approaches to organizing the body of a literature review. Depending on the length of your literature review, you can combine several of these strategies (for example, your overall structure might be thematic, but each theme is discussed chronologically).

Chronological

The simplest approach is to trace the development of the topic over time. However, if you choose this strategy, be careful to avoid simply listing and summarizing sources in order.

Try to analyze patterns, turning points and key debates that have shaped the direction of the field. Give your interpretation of how and why certain developments occurred.

If you have found some recurring central themes, you can organize your literature review into subsections that address different aspects of the topic.

For example, if you are reviewing literature about inequalities in migrant health outcomes, key themes might include healthcare policy, language barriers, cultural attitudes, legal status, and economic access.

Methodological

If you draw your sources from different disciplines or fields that use a variety of research methods , you might want to compare the results and conclusions that emerge from different approaches. For example:

Look at what results have emerged in qualitative versus quantitative research
Discuss how the topic has been approached by empirical versus theoretical scholarship
Divide the literature into sociological, historical, and cultural sources

Theoretical

A literature review is often the foundation for a theoretical framework . You can use it to discuss various theories, models, and definitions of key concepts.

You might argue for the relevance of a specific theoretical approach, or combine various theoretical concepts to create a framework for your research.

Like any other academic text , your literature review should have an introduction , a main body, and a conclusion . What you include in each depends on the objective of your literature review.

The introduction should clearly establish the focus and purpose of the literature review.

Depending on the length of your literature review, you might want to divide the body into subsections. You can use a subheading for each theme, time period, or methodological approach.

As you write, you can follow these tips:

Summarize and synthesize: give an overview of the main points of each source and combine them into a coherent whole
Analyze and interpret: don’t just paraphrase other researchers — add your own interpretations where possible, discussing the significance of findings in relation to the literature as a whole
Critically evaluate: mention the strengths and weaknesses of your sources
Write in well-structured paragraphs: use transition words and topic sentences to draw connections, comparisons and contrasts

In the conclusion, you should summarize the key findings you have taken from the literature and emphasize their significance.

When you’ve finished writing and revising your literature review, don’t forget to proofread thoroughly before submitting. Not a language expert? Check out Scribbr’s professional proofreading services !

This article has been adapted into lecture slides that you can use to teach your students about writing a literature review.

Scribbr slides are free to use, customize, and distribute for educational purposes.

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If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

Sampling methods
Simple random sampling
Stratified sampling
Cluster sampling
Likert scales
Reproducibility

Statistics

Null hypothesis
Statistical power
Probability distribution
Effect size
Poisson distribution

Research bias

Optimism bias
Cognitive bias
Implicit bias
Hawthorne effect
Anchoring bias
Explicit bias

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a thesis, dissertation , or research paper , in order to situate your work in relation to existing knowledge.

There are several reasons to conduct a literature review at the beginning of a research project:

To familiarize yourself with the current state of knowledge on your topic
To ensure that you’re not just repeating what others have already done
To identify gaps in knowledge and unresolved problems that your research can address
To develop your theoretical framework and methodology
To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

The literature review usually comes near the beginning of your thesis or dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

A literature review is a survey of credible sources on a topic, often used in dissertations , theses, and research papers . Literature reviews give an overview of knowledge on a subject, helping you identify relevant theories and methods, as well as gaps in existing research. Literature reviews are set up similarly to other academic texts , with an introduction , a main body, and a conclusion .

An annotated bibliography is a list of source references that has a short description (called an annotation ) for each of the sources. It is often assigned as part of the research process for a paper .

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World Leaders in Research-Based User Experience

Secondary research in ux.

February 20, 2022 2022-02-20

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You don’t have to do all the user-research work yourself. If somebody else already ran a study (and published it), grab it!

Have you ever completed a project only to find out that something very similar has already been done in your organization a couple of years ago? That situation is common, especially with rising employee-churn rates, and fueled the popularity of research repositories (e.g., Microsoft Human Insights System) and the growth of the research-operations community . It should also inspire practitioners to do more secondary research.

Secondary research, also known as desk research or, in academic contexts, literature review, refers to the act of gathering prior research findings and other relevant information related to a new project. It is a foundational part of any emerging research project and provides the project with background and context. Secondary research allows us to stand on the shoulders of giants and not to reinvent the wheel every time we initiate a new program or plan a study.

This article provides a step-by-step guide on how to conduct secondary research in UX. The key takeaway is that this type of research is not solely an intellectual exercise, but a way to minimize research costs, win internal stakeholders and get scaffolding for your own projects.

Academic publications include a literature review at the beginning to showcase context or known gaps and to justify the motivation for the research questions. However, the task of incorporating previous results is becoming more and more challenging with a growing number of publications in all fields. Therefore, practitioners across disciplines (for instance in eHealth, business, education, and technology) develop method guidelines for secondary research.

Secondary research should be a standard first step in any rigorous research practice, but it’s also often cost-effective in more casual settings. Whether you are just starting a new project, joining an existing one, or planning a primary research effort for your team, it is always good to start with a broad overview of the field and existent resources. That would allow you to synthesize findings and uncover areas where more research is needed.

Secondary research shows which topics are particularly popular or important for your organization and what problems other researchers are trying to solve. This research method is widely discussed in library and information sciences but is often neglected in UX. Nonetheless, secondary research can be useful to uncover industry trends and to inspire further studies. For example, Jessica Pater and her colleagues looked at the foundational question of participant compensation in user studies. They could have opted for user interviews or a costly large-scale survey, yet through secondary research, they were able to review 2250 unique user studies across 1662 manuscripts published in 2018-2019. They found inconsistencies in participant compensation and suggested changes to the current practices and further research opportunities.

Secondary research can be divided into two main types: internal and external research.

Internal secondary research involves gathering all relevant research findings already available in your organization. These might include artifacts from the past primary research projects, maps (e.g., customer-journey map , service blueprint ), deliverables from external consultants, or results from different kinds of workshops (e.g., discovery, design thinking, etc.). Hopefully, these will be available in a research repository .

External secondary research is focused on sources outside of your organization, such as academic journals, public libraries, open data repositories, internet searches, and white papers published by reputable organizations. For example, external resources for the field of human-computer interaction (HCI) can be found at the Association for Computing Machinery (ACM) digital library , Journal of Usability Studies (JUS ), or research websites like ours . University libraries and labs like UCSD Geisel Library , Carnegie Mellon University Libraries , MIT D-Lab , Stanford d.school , and specialized portals like Google Scholar offer another avenue for directed search.

Our goal is to have the necessary depth, rigor, and usefulness for practitioners. Here are the 4 steps for conducting secondary research:

Choose the topic of research & write a problem statement .

Write a concise description of the problem to be solved. For example, if you are doing a website redesign, you might want to both learn the current standards and look at all the previous design iterations to avoid issues that your team already identified.

Identi fy external and internal resources.

Peer-reviewed publications (such as those published in academic journals and conferences) are a fairly reliable source. They always include a section describing methods, data-collection techniques, and study limitations. If a study you plan to use does not include such information, that might be a red flag and a reason to further scrutinize that source. Public datasets also often present some challenges because of errors and inclusion criteria, especially if they were collected for another purpose.

One should be cautious of the seemingly reputable “research” findings published across different websites in a form of blog posts, which could be opinion pieces, not backed up by primary research. If you encounter such a piece, ask yourself — is the conclusion of the writeup based on a real study? If the study was quantitative, was it properly analyzed (e.g., at the very least, are confidence intervals reported, and was statistical significance evaluated?). For all studies, was the method sound and nonbiased (e.g., did the study have internal and external validity )?

A more nuanced challenge involves evaluating findings based on a different audience, which might not be always generalizable to your situation, but may form hypotheses worthy of investigating. For example, if a design pattern is found okay to use by young adults, you may still want to know if this finding will also be valid for older generations.

Collect and analyze data from external and internal resources.

Remember that secondary research involves both the existing data and existing research. Both of those categories become helpful resources when they are critically evaluated for any inherent biases, omissions, and limitations. If you already have some secondary data in your organization, such as customer service logs or search logs, you should include them in secondary research alongside any existent analysis of such logs and previous reports. It is helpful to revisit previous findings, compare how they have or have not been implemented to refresh institutional memory and support future research initiatives.

Refine your problem statement and determine what still needs to be investigated.

Once you collected the relevant information, write a summary of findings, and discuss them with your team. You might need to refine your problem statement to determine what information you still need to answer your research questions. Next time your team is planning to adopt a trendy new design pattern, it may be a good idea to go back and search the web or an academic database for any evaluations of that pattern.

It is important to note that secondary research is not a substitute for primary research. It is always better to do both. Although secondary research is often cost-effective and quick, its quality depends to a large extent on the quality of your sources. Therefore, before using any secondary sources, you need to identify their validity and limitations.

Secondary (or desk) research involves gathering existing data from inside and outside of your organization. A literature review should be done more frequently in UX because it is a viable option even for researchers with limited time and budget. The most challenging part is to persuade yourself and your team that the existing data is worth being summarized, compared, and collated to increase the overall effectiveness of your primary research.

Jessica Pater, Amanda Coupe, Rachel Pfafman, Chanda Phelan, Tammy Toscos, and Maia Jacobs. 2021. Standardizing Reporting of Participant Compensation in HCI: A Systematic Literature Review and Recommendations for the Field. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, Article 141, 1–16. https://doi.org/10.1145/3411764.3445734

Hannah Snyder. 2019. Literature review as a research methodology: An overview and guidelines. Journal of business research 104, 333-339. DOI: https://doi.org/10.1016/j.jbusres.2019.07.039.

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How To Do Secondary Research or a Literature Review

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What is Secondary Research?

Secondary research, also known as a literature review , preliminary research , historical research , background research , desk research , or library research , is research that analyzes or describes prior research. Rather than generating and analyzing new data, secondary research analyzes existing research results to establish the boundaries of knowledge on a topic, to identify trends or new practices, to test mathematical models or train machine learning systems, or to verify facts and figures. Secondary research is also used to justify the need for primary research as well as to justify and support other activities. For example, secondary research may be used to support a proposal to modernize a manufacturing plant, to justify the use of newly a developed treatment for cancer, to strengthen a business proposal, or to validate points made in a speech.

Why Is Secondary Research Important?

Because secondary research is used for so many purposes in so many settings, all professionals will be required to perform it at some point in their careers. For managers and entrepreneurs, regardless of the industry or profession, secondary research is a regular part of worklife, although parts of the research, such as finding the supporting documents, are often delegated to juniors in the organization. For all these reasons, it is essential to learn how to conduct secondary research, even if you are unlikely to ever conduct primary research.

Secondary research is also essential if your main goal is primary research. Research funding is obtained only by using secondary research to show the need for the primary research you want to conduct. In fact, primary research depends on secondary research to prove that it is indeed new and original research and not just a rehash or replication of somebody else’s work.

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What is Desk Research? Definition & Useful Tools

Desk research typically serves as a starting point for design projects, providing designers with the knowledge to guide their approach and help them make informed design choices.

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What is Desk Research?

Desk research (secondary research or literature review) refers to gathering and analyzing existing data from various sources to inform design decisions for UX projects. It’s usually the first step in a design project as it’s cost-effective and informs where teams may need to dig deeper.

This data can come from published materials, academic papers, industry reports, online resources, and other third-party data sources. UX designers or researchers use this information to supplement data, learn about certain markets/user groups, explore industry trends, understand specific topics, or navigate design challenges.

The importance of desk research in the design process

Desk research gives designers a comprehensive understanding of the context, users, and existing solutions. It allows designers to gather valuable insights without conducting primary research which can be time-consuming and resource-intensive.

Desk research helps designers better understand the problem space, explore best practices and industry trends , and identify potential design opportunities without reinventing the wheel while learning from others’ mistakes.

Primary Research vs. Secondary Research

Primary research: new and original data from first-hand sources collected by the team, such as questionnaires, interviews, field research, or experiments, specifically for a particular research project.
Secondary research: utilizing existing data sets and information that others have collected, including books, articles, reports, and databases.

Primary and secondary research complement each other in comprehensively understanding a topic or problem. While primary research provides new first-party data specifically for a project’s goals , secondary data leverages existing knowledge and resources to gain insights.

What is the Purpose of Desk Research?

user bad good review satisfaction opinion

Understanding the problem or design challenge

Desk research helps designers comprehensively understand the problem or design challenge. By reviewing existing knowledge and information, designers can grasp the context, identify pain points, and define the scope of their design project.

For example, when tasked with designing a new mobile banking app, desk research can provide insights into user preferences, common challenges in the banking industry, and emerging trends in mobile banking.

Gathering background information

Desk research allows designers to gather background information related to their design project. It helps them explore the domain, industry, target audience, and relevant factors that may influence their design decisions.

For example, when designing a fitness-tracking app, desk research may involve collecting information about fitness activities, wearable technologies, and health guidelines.

Exploring existing solutions and best practices

Desk research enables designers to explore existing solutions and best practices. By studying successful designs, case studies, and industry standards, designers can learn from previous approaches and incorporate proven techniques.

For example, when creating a website’s navigation menu , desk research can involve analyzing navigation patterns used by popular websites to ensure an intuitive user experience.

Identifying trends and patterns

Desk research helps designers identify trends and patterns within the industry or user behavior. Designers examine market reports, user surveys, and industry publications to identify trends, emerging technologies, and user preferences.

For example, when designing a smart home app, desk research can involve analyzing market trends in connected devices and user expectations for seamless integration.

Informing decision-making and design choices

Desk research provides designers valuable insights that inform their decision-making and design choices. It helps designers make informed design decisions based on existing knowledge, data, and research findings.

For example, when selecting a color palette for a brand’s website, desk research can involve studying color psychology, cultural associations, and industry trends to ensure the chosen colors align with the brand’s values and resonate with the target audience.

Secondary Research Methods and Techniques

Researchers use these methods individually or in combination, depending on the specific design project and research objectives. They select and adapt these based on the nature of the problem, available resources, and desired outcomes.

Literature review : gathers and analyzes relevant data from academic and research publications, government agencies, educational institutions, books, articles, and online resources (i.e., Google Scholar, social media, etc.). It helps designers gain a deeper understanding of existing knowledge, theories, and perspectives on the subject matter.
Market research : studying and analyzing market reports, industry trends, consumer behavior, and demographic data. It provides valuable insights into the target market, user preferences, emerging trends, and potential opportunities for design solutions.
Competitor analysis : examines and evaluates the products, services, and strategies of competitors in the market. By studying competitors’ strengths, weaknesses, and unique selling points, designers can identify gaps, potential areas for improvement, and opportunities to differentiate their designs.
User research analysis : User research analysis involves reviewing and analyzing data collected from various user research methods, such as surveys, interviews, and usability testing. It helps designers gain insights into user needs, preferences, pain points, and behaviors, which inform the design decisions and enhance the user-centeredness of the final product.
Data analysis : processing and interpreting quantitative and qualitative data from various sources, such as surveys, analytics, and user feedback. It helps designers identify patterns, trends, and correlations in the data, which can guide decision-making and inform design choices.

How to Conduct Desk Research

Defining research objectives and questions

Start by defining the research objectives and formulating specific research questions. A clear goal will inform the type and method of secondary research.

For example, if you’re designing a mobile app for fitness tracking, your research objective might be to understand user preferences for workout-tracking features. Your research question could be: “What are the most commonly used workout tracking features in popular fitness apps?”

Identifying and selecting reliable sources

Identify relevant and reliable sources of information that align with your research objectives. These sources include academic journals, industry reports, reputable websites, and case studies.

For example, you might refer to academic journals and industry reports on fitness technology trends and user behavior to gather reliable insights for your research.

Collecting and analyzing relevant information

Collect information from the selected sources and carefully analyze it to extract key insights.

For example, you could collect data on user preferences for workout-tracking features by reviewing user reviews of existing fitness apps, analyzing market research reports, and studying user surveys conducted by fitness-related organizations.

Organizing and synthesizing findings

Organize the research data and synthesize the findings to identify common themes, patterns, and trends.

For example, you might categorize the collected data based on different workout tracking features, identify the most frequently mentioned features, and analyze user feedback to understand the reasons behind their preferences.

Limitations and Considerations of Secondary Research

Considering these desk research limitations and considerations allows designers to approach it with a critical mindset, apply appropriate methodologies to address potential biases, and supplement it with other research methods when necessary.

Potential bias in sources: Desk research heavily relies on existing information, which may come from biased or unreliable sources. It is essential to critically evaluate the credibility and objectivity of the sources used to minimize the risk of incorporating biased information into the research findings.
Limited access to certain information: Desk research may have limitations in accessing certain types of information, such as proprietary data or sensitive industry insights. This limited access can restrict the depth of the research and may require designers to rely on alternative sources or approaches to fill the gaps.
Lack of real-time data: Desk research uses existing data and information, which may not always reflect the most up-to-date or current trends. It is essential to consider the data’s publication date and recognize that certain aspects of the research may require complementary methods, such as user research or market surveys, to capture real-time insights.
Necessary cross-referencing and triangulation: Given the potential limitations and biases in individual sources, it is crucial to cross-reference information from multiple sources and employ triangulation techniques. This due diligence helps validate the findings and ensures a more comprehensive and accurate understanding of the subject matter.

Test Research Findings With UXPin’s Interactive Prototypes

Secondary research is the first step. Design teams must test and validate ideas with end-users using prototypes. With UXPin’s built-in design libraries , designers can build fully functioning prototypes using patterns and components from leading design systems, including Material Design, iOS, Bootstrap, and Foundation.

UXPin’s prototypes allow usability participants and stakeholders to interact with user interfaces and features like they would the final product, giving design teams high-quality insights to iterate and improve efficiency with better results.

These four key features set UXPin apart from traditional image-based design tools :

States : create multiple states for a single UI element and design complex interactive components like dropdown menus , tab menus , navigational drawers , and more .
Variables : create personalized, dynamic prototype experiences by capturing data from user inputs and using it throughout the prototype–like a personalized welcome message or email confirmation.
Expressions : Javascript-like functions to create complex components and advanced functionality–no code required!
Conditional Interactions : create if-then and if-else conditions based on user interactions to create dynamic prototypes with multiple outcomes to replicate the final product experience accurately.

Gain valuable insights with fully functioning prototypes to validate UX research hypotheses and make better design decisions. Sign up for a free trial to build your first interactive prototype with UXPin.

Build prototypes that are as interactive as the end product. Try UXPin

by UXPin on 3rd July, 2023

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Desk Research: Definition, Types, Application, Pros & Cons

If you are looking for a way to conduct a research study while optimizing your resources, desk research is a great option. Desk research uses existing data from various sources, such as books, articles, websites, and databases, to answer your research questions.

Let’s explore desk research methods and tips to help you select the one for your research.

What Is Desk Research?

Desk research, also known as secondary research or documentary research, is a type of research that relies on data that has already been collected and published by others. Its data sources include public libraries, websites, reports, surveys, journals, newspapers, magazines, books, podcasts, videos, and other sources.

When performing desk research, you are not gathering new information from primary sources such as interviews, observations, experiments, or surveys. The information gathered will then be used to make informed decisions.

The most common use cases for desk research are market research , consumer behavior , industry trends , and competitor analysis .

How Is Desk Research Used?

Here are the most common use cases for desk research:

Exploring a new topic or problem
Identifying existing knowledge gaps
Reviewing the literature on a specific subject
Finding relevant data and statistics
Analyzing trends and patterns
Evaluating competitors and market trends
Supporting or challenging hypotheses
Validating or complementing primary research

Types of Desk Research Methods

There are two main types of desk research methods: qualitative and quantitative.

Qualitative Desk Research

Analyzing non-numerical data, such as texts, images, audio, or video. Here are some examples of qualitative desk research methods:

Content analysis – Examining the content and meaning of texts, such as articles, books, reports, or social media posts. It uses data to help you identify themes, patterns, opinions, attitudes, emotions, or biases.

Discourse analysis – Studying the use of language and communication in texts, such as speeches, interviews, conversations, or documents. It helps you understand how language shapes reality, influences behavior, constructs identities, creates power relations, and more.

Narrative analysis – Analyzing the stories and narratives that people tell in texts, such as biographies, autobiographies, memoirs, or testimonials. This allows you to explore how people make sense of their experiences, express their emotions, construct their identities, or cope with challenges.

Quantitative Desk Research

Analyzing numerical data, such as statistics, graphs, charts, or tables.

Here are common examples of quantitative desk research methods:

Statistical analysis : This method involves applying mathematical techniques and tools to numerical data, such as percentages ratios, averages, correlations, or regressions.

You can use statistical analysis to measure, describe, compare, or test relationships in the data.

Meta-analysis : Combining and synthesizing the results of multiple studies on a similar topic or question. Meta-analysis can help you increase the sample size, reduce the margin of error, or identify common findings or discrepancies in data.

Trend analysis : This method involves examining the changes and developments in numerical data over time, such as sales, profits, prices, or market share. It helps you identify patterns, cycles, fluctuations, or anomalies.

Examples of Desk Research

Here are some real-life examples of desk research questions:

What are the current trends and challenges in the fintech industry?
How do Gen Z consumers perceive money and financial services?
What are the best practices for conducting concept testing for a new fintech product?
Documentary on World War II and its effect on Austria as a country

You can use the secondary data sources listed below to answer these questions:

Industry reports and publications

Market research surveys and studies
Academic journals and papers
News articles and blogs
Podcasts and videos
Social media posts and reviews
Government and non-government agencies

How to Choose the Best Type of Desk Research

The main factors for selecting a desk research method are:

Research objective and question
Budget and deadlines
Data sources availability and accessibility.
Quality and reliability of data sources
Your data analysis skills

Let’s say your research question requires an in-depth analysis of a particular topic, a literature review may be the best method. But if the research question requires analysis of large data sets, you can use trend analysis.

Differences Between Primary Research and Desk Research

The main difference between primary research and desk research is the source of data. Primary research uses data that is collected directly from the respondents or participants of the study. Desk research uses data that is collected by someone else for a different purpose.

Another key difference is the cost and time involved. Primary research is usually more expensive, time-consuming, and resource-intensive than desk research. However, it can also provide you with more specific, accurate, and actionable data that is tailored to your research goal and question.

The best practice is to use desk-based research before primary research; it refines the scope of the work and helps you optimize resources.

Read Also – Primary vs Secondary Research Methods: 15 Key Differences

How to Conduct a Desk Research

Here are the four main steps to conduct desk research:

Define Research Goal and Question

What do you want to achieve with your desk research? What problem do you want to solve or what opportunity do you want to explore? What specific question do you want to answer with your desk research?

Identify and Evaluate Data Sources

Where can you find relevant data for your desk research? How relevant and current are the data sources for your research? How consistent and comparable are they with each other?

You can evaluate your data sources based on factors such as-

– Authority: Who is the author or publisher of the data source? What are their credentials and reputation? Are they experts or credible sources on the topic?

– Accuracy: How accurate and precise is the data source? Does it contain any errors or mistakes? Is it supported by evidence or references?

– Objectivity: How objective and unbiased is the data source? Does it present facts or opinions? Does it have any hidden agenda or motive?

– Coverage: How comprehensive and complete is the data source? Does it cover all aspects of your topic? Does it provide enough depth and detail?

– Currency: How current and up-to-date is the data source? When was it published or updated? Is it still relevant to your topic?

Collect and Analyze Your Data

How can you collect your data efficiently and effectively? What tools or techniques can you use to organize and analyze your data? How can you interpret your data with your research goal and question?

Present and Report Your Findings

How can you communicate your findings clearly and convincingly? What format or medium can you use to accurately record your findings?

You can use spreadsheets, presentation slides, charts, infographics, and more.

Advantages of Desk Research

Cost Effective

It is cheaper and faster than primary research, you don’t have to collect new data or report them. You can simply analyze and leverage your findings to make deductions.

Prevents Effort Duplication

Desk research provides you with a broad and thorough overview of the research topic and related issues. This helps to avoid duplication of efforts and resources by using existing data.

Improves Data Validity

Using desk research, you can compare and contrast various perspectives and opinions on the same topic. This enhances the credibility and validity of your research by referencing authoritative sources.

Identify Data Trends and Patterns

It helps you to identify new trends and patterns in the data that may not be obvious from primary research. This can help you see knowledge and research gaps to offer more effective solutions.

Disadvantages of Desk Research

Outdated Information

One of the main challenges of desk research is that the data may not be relevant, accurate, or up-to-date for the specific research question or purpose. Desk research relies on data that was collected for a different reason or context, which may not match the current needs or goals of the researcher.

Limited Scope

Another limitation of desk research is that it may not provide enough depth or insight into qualitative aspects of the market, such as consumer behavior, preferences, motivations, or opinions.

Data obtained from existing sources may be biased or incomplete due to the agenda or perspective of the source.

Read More – Research Bias: Definition, Types + Examples

Data Inconsistencies

It may also be inconsistent or incompatible with other data sources due to different definitions or methodologies.

Legal and Technical Issues

Desk research data may also be difficult to access or analyze due to legal, ethical, or technical issues.

How to Use Desk Research Effectively

Here are some tips on how to use desk research effectively:

Define the research problem and objectives clearly and precisely.
Identify and evaluate the sources of secondary data carefully and critically.
Compare and contrast different sources of data to check for consistency and reliability.
Use multiple sources of data to triangulate and validate the findings.
Supplement desk research with primary research when exploring deeper issues.
Cite and reference the sources of data properly and ethically.

Desk research should not be used as a substitute for primary research, but rather as a complement or supplement. Combine it with primary research methods, such as surveys, interviews, observations, experiments, and others to obtain a more complete and accurate picture of your research topic.

Desk research is a cost-effective tool for gaining insights into your research topic. Although it has limitations, if you choose the right method and carry out your desk research effectively, you will save a lot of time, money, and effort that primary research would require.

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Blog General

Desk Research 101: Definition, Methods, and Examples

Parvathi vijayamohan.

2 March 2023

Table Of Contents

If you ever had to do a research study or a survey at some point, you would have started with desk research .

There’s another, more technical name for it – secondary research. To rewind a bit, there are two types of research: primary , where you go out and study things first-hand, and secondary , where you explore what others have done.

But what is desk research? How do you do it, and use it? This article will help you:

Understand what is desk-based research
Explore 3 examples of desk research
Make note of 6 common desk research methods
Uncover the advantages of desk research

What is desk research?

Desk research can be defined as a type of market/product research, where you collect data at your desk (metaphorically speaking) from existing sources to get initial ideas about your research topic.

Desk research or secondary research is an essential process from a business’s point of view. After all, secondary data sources are such an easy way to get information about their industry, trends, competitors, and customers.

Types of secondary data sources

#1. Internal secondary data: This consists of data from within the researcher’s company. Examples include:

Company reports and presentations
Case studies
Podcasts, vlogs and blogs
Press releases
Websites and social media
Company databases and data sets

#2. External secondary data: Researchers collect this from outside their respective firms. Examples include:

Digital and print publications
Domain-specific publications and periodicals
Online research communities, like ResearchGate
Industry speeches and conference presentations
Research papers

What are examples of desk research in action?

#1. testing product-audience match.

Let’s say you’re developing a fintech product. You want to do a concept testing study. To make sure you get it right, you’re interested in finding out your target audience’s attitudes about a topic in your domain. For e.g., Gen Z’s perceptions about money in the US.

With a quick Google search, you get news articles, reports, and research studies about Gen Z’s financial habits and attitudes. Also, infographics and videos provide plenty of quantitative data to draw on.

These steps are a solid starting point for framing your concept testing study. You can further reduce the time spent on survey design with a Concept Testing Survey Template . Sign up to get free access to this and hundreds more templates.

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#2. Tracking the evolution of the Web

As we wade into the brave new world of Web 5.0 , there are quite a few of us who still remember static websites, flash animations, and images sliced up into tables.

If you want to refresh your memory, you can hop on the Wayback Machine . iI gives you access to over 20 years of web history, with over 635 billion web pages saved over time!

Curiosity aside, there are practical use cases for this web archive. SEO specialist Artur Bowsza explores this in his fantastic article Internet Archeology with the Wayback Machine .

Imagine you’re investigating a recent drop in a website’s visibility. You know there were some recent changes in the website’s code, but couldn’t get any details. Or maybe you’re preparing a case study of your recent successful project, but the website has changed so much, and you never bothered to take a screenshot. Wouldn’t it be great to travel back in time and uncover the long-forgotten versions of the website – like an archaeologist, discovering secrets from the past but working in the digital world?

#3. Repairing a business reputation

As a brand, you hope that a crisis never happens. But if hell does break loose, having a crisis management strategy is essential.

If you want examples, just do a Google search. From Gamestop getting caught in a Reddit stock trading frenzy to Facebook being voted The Worst Company of 2021 , we have seen plenty of brands come under fire in recent years.

Some in-depth desk research can help you nail your crisis communication. Reputation management expert Lida Citroen outlines this in her article 7 Ways to Recover After a Reputation Crisis .

Conduct a thoughtful and thorough perception sweep of the reputation hit’s after-effects. This includes assessing digital impact such as social media, online relationships and Google search results. The evaluation gives you a baseline. How serious is the situation? Sometimes the way we believe the situation to be is not reflected in the business impact of the damage.

6 popular methods of desk research

#1. the internet.

No surprise there. When was the last time you checked a book to answer the burning question of “is pineapple on pizza illegal?” (it should be).

However, choosing authentic and credible sources from an information overload can be tricky. To help you out, the Lydia M. Olson Library has a 6-point checklist to filter out low-quality sources. You can read them in detail here .

#2. Libraries

You have earned some serious street cred if your preferred source is a library. But, jokes apart, finding the correct information for your research topic in a library can be time-consuming.

However, depending on which library you visit, you will find a wealth of verifiable, quotable information in the form of newspapers, magazines, research journals, books, documents, and more.

#3. Governmental and non-governmental organizations

NGOs, and governmental agencies like the US Census Bureau, have valuable demographic data that businesses can use during desk research. This data is collected using survey tools like SurveySparrow .

You may have to pay a certain fee to download or access the information from these agencies. However, the data obtained will be reliable and trustworthy.

#4. Educational institutions

Colleges and universities conduct plenty of primary research studies every year. This makes them a treasure trove for desk researchers.

However, getting access to this data requires legwork. The procedures vary according to the institution; among other things, you will need to submit an application to the relevant authority and abide by a data use agreement.

#5. Company databases

For businesses, customer and employee data are focus areas all on their own. But after the pandemic, companies are using even more applications and tools for the operations and service sides.

This gives businesses access to vast amounts of information useful for desk research and beyond. For example, one interesting use case is making employee onboarding more effective with just basic employee data, like their hobbies or skills.

#6. Commercial information media

These include radio, newspapers, podcasts, YouTube, and TV stations. They are decent sources of first-hand info on political and economic developments, market research, public opinion and other trending subjects.

However, this is also a source that blurs the lines between advertising, information and entertainment. So as far as credibility is concerned, you are better off supporting this data with additional sources.

Why is desk research helpful?

Desk research helps with the following:

Better domain understanding. Before doing market research, running a usability test, or starting any user-centric project, you want to see what companies have done in the past (in related areas if not the same domain). Then, instead of learning everything from scratch, you can review their research, success, and mistakes and learn from that.
Quicker opportunity spotting. How do you know if you’ve found something new? By reviewing what has gone before. By doing this, you can spot gaps in the data that match up with the problem you’re trying to solve.
More money saved . Thanks to the internet, most of the data you need is at your fingertips, and they are cheaper to compile than field data. With a few (search and mental) filters, you can quickly find credible sources with factual information.
More time saved . You have less than 15 minutes with your research participant. Two minutes if you’re doing an online survey. Do you really want to waste that time asking questions that have already been answered elsewhere? Lack of preparation can also hurt your credibility.
Better context. Desk research helps to provide focus and a framework for primary research. By using desk research, companies can also get the insight to make better decisions about their customers and employees.
More meaningful data. Desk research is the yin to the yang of field research – they are both required for a meaningful study. That’s why desk research serves as a starting point for every kind of study.

This brings us to the last question.

How do you do desk research?

Good question! In her blog post , Lorène Fauvelle covers the desk research process in detail.

Y ou can also follow our 4-step guide below:

First, start with a general topic l ike “handmade organic soaps”. Read through existing literature about handmade soaps to see if there is a gap in the literature that your study can fill.
Once you find that gap, it’s time to specify your research topic . So in the example above, you can specify it like this: “What is the global market size for handmade organic soaps”?
Identify the relevant secondary data for desk research. This only applies if there is past data that could be useful for your research.
Review the secondary data according to:
The aim of the previous study
The author/sponsors of the study
The methodology of the study
The time of the research

Note: One more thing about desk research…

Beware of dismissing research just because it was done a few years ago. People new to research often make the mistake of viewing research reports like so many yogurts in a fridge where the sell-by dates have expired. Just because it was done a couple of years ago, don’t think it’s no longer relevant. The best research tends to focus on human behaviour, and that tends to change very slowly.

Dr David Travis, Desk Research: The What, Why and How

Wrapping up

That’s all folks! We hope this blog was helpful for you.

How have you used desk research for your work? Let us know in the comments below.

Growth Marketer at SurveySparrow

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Desk Research: What it is, Tips & Examples

What is desk research?

Desk research is a type of research that is based on the material published in reports and similar documents that are available in public libraries, websites, data obtained from surveys already carried out, etc. Some organizations also store data that can be used for research purposes.

It is a research method that involves the use of existing data. These are collected and summarized to increase the overall effectiveness of the investigation.

Secondary research is much more cost-effective than primary research , as it uses existing data, unlike primary research, in which data is collected first-hand by organizations, companies, or may employ a third party to obtain the data in your name.

LEARN ABOUT: Data Management Framework

Desk research examples

Being a cost-effective method, desk research is a popular choice for businesses and organizations as not everyone can pay large sums of money to conduct research and collect data. That is why it’s also called “ documentary research “.

Here are some more common secondary research methods and examples:

1. Data available on the Internet: One of the most popular ways to collect data for desk research is through the Internet. The information is available and can be downloaded with just one click.

This data is practically free or you may have to pay a negligible amount for it. Websites have a lot of information that companies or organizations can use to meet their research needs. However, you need to consider a reliable website to collect information.

2. Government and non-government agencies: Data for secondary research can also be collected from some government and non-government agencies. There will always be valuable and relevant data that companies or organizations can use.

3. Public libraries: Public libraries are another good source to search for data by doing desk research. They have copies of important research that has been done before. They are a store of documents from which relevant information can be extracted.

The services offered at these public libraries vary. Most often, they have a huge collection of government publications with market statistics, a large collection of business directories, and newsletters.

4. Educational Institutions: The importance of collecting data from educational institutions for secondary research is often overlooked. However, more research is done in colleges and universities than in any other business sector.

The data collected by universities is mainly used for primary research. However, companies or organizations can go to educational institutions and request data.

5. Sources of business information: Newspapers, magazines, radio and television stations are a great source of data for desk research. These sources have first-hand information on economic developments, the political agenda, the market, demographic segmentation and similar topics.

Companies or organizations can request to obtain the most relevant data for their study. Not only do they have the opportunity to identify your potential customers, but they can also learn the ways to promote their products or services through these sources, as they have a broader scope.

Differences between primary research and Desk Research

How to do a desk research.

These are the steps to follow to conduct a desk investigation:

Identify the research topic: Before you begin, identify the topic you need to research. Once done, make a list of the attributes of the research and its purpose.
Identify research sources: Subsequently, explain the sources of information that will provide you with the most relevant data applicable to your research.
Collect existing data: Once the sources of information collection have been narrowed, check to see if previous data is available that is closely related to the topic. They can be obtained from various sources, such as newspapers, public libraries, government and non-government agencies, etc.
Combine and compare: Once the data is collected, combine and compare it so that the information is not duplicated and put it together in an accessible format. Make sure to collect data from authentic sources so you don’t get in the way of your investigation.
Analyze data: Analyze the data that is collected and identify if all the questions have been answered. If not, repeat the process to dig deeper into practical ideas.
Most of the information is secondary research and readily available. There are many sources from which the data you need can be collected and used, as opposed to primary research, where data must be collected from scratch.
It is a less expensive and time-consuming process, as the required data is readily available and does not cost much if it is extracted from authentic sources.
The data that is collected through secondary or desktop research gives organizations or companies an idea about the effectiveness of primary research. Thus, a hypothesis can be formed and the cost of conducting the primary research can be evaluated.
Doing desk research is faster due to the availability of data. It can be completed in a few weeks, depending on the objective of the companies or the scale of the data required.

Disadvantages

Although the data is readily available, the credibility and authenticity of the available information must be assessed.
Not all secondary data resources offer the latest reports and statistics. Even when they are accurate, they may not be up to date.

Desk research is a very popular research method, because it uses existing and reliable data that can be easily obtained. This is a great benefit for businesses and organizations as it increases the effectiveness of the investigation.

QuestionPro provides the best market research platform to uncover complex insights that can propel your business to the forefront of your industry.

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Desk research: the what, why and how

The “where” (at your desk) and the “when” (at the beginning of your project) are easy questions to answer. But what is it, why do you need to to do it, and how should you go about doing desk research to make sure it adds value to your project? — David Travis , Jan 4, 2016

By David Travis Jan 4, 2016 / strategy

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What is desk research?

Desk research is another name for secondary research. Broadly speaking, there are two types of research activity: primary research (where you go out and discover stuff yourself); and secondary research (where you review what other people have done). Desk research is not about collecting data. Instead, your role as a user researcher carrying out desk research is to review previous research findings to gain a broad understanding of the field.

Why do desk research?

Before carrying out a field visit, developing a prototype, running a usability test, or embarking on any project that you want to be user centred, it makes sense to see what people have done in the past that relates to the product’s domain. Although it’s unlikely that anyone has carried out the exact research activity you’re planning, someone has almost certainly tried to answer related questions. Reviewing this research is the quickest and cheapest way to understand the domain.

Carrying out desk research is a critical first step, for at least three reasons:

If you don’t know what has gone before, you won’t know when you’ve discovered something new.
You’ll sound credible when you get face-to-face with users and stakeholders. If you’ve not done this “due diligence”, you’ll ask dumb or irrelevant questions and may find your participants cut your sessions short.
Failing to do preparatory research is disrespectful of your participants’ time. You may get less than an hour with a user of your system. Do you really want to waste half that time understanding the domain issues that you could have covered elsewhere?

How do you approach desk research?

At this point, I’ve had many user researchers tell me that they’re working on a bleeding edge design project so there isn’t any desk research to do. There’s a common misconception that no research exists.

In my experience, there is almost always something you can build upon. Here’s an approach I take to go about finding it. It helps me stay focussed but also makes sure that I remember to check all the possible nooks and crannies where relevant research findings may be hiding.

A Venn diagram showing users, goals and environments. Where these three overlap is the sweet spot for user research.

The Venn diagram describes the context of use: your users, their goals and the environments where the action occurs. The best kind of research is where all three of these dimensions overlap: field visits that focus on your users trying to achieve their goals in context. This kind of research is so specific and relevant to your project that it may be hard to find, so don’t get discouraged if you can’t turn anything up in this area.

This set of Venn diagrams shows that research into the overlap between users and goals, environments and goals and users and envrionments can also yield useful insights.

But there is potentially useful research in the other areas of overlap on our Venn diagram. This falls into three broad areas:

Research about your users and their goals, but that was not carried out in context. This kind of research will take the form of surveys, customer interviews and focus groups.
Research that addresses the goals your system will support and the environment it will be used in, but doesn’t tell us much about users. Examples include call centre or web analytics.
Research that uncovers information about your users in their environment, but that may not address the goals that your system will support. This will take the form of field research by teams who are designing a product for the same kinds of user but to meet different needs.

The most likely place you’ll find this kind of research is within your own organisation. But you need to be prepared to dig. This is because research findings, especially on agile projects, are often treated as throw-away by-products that apply to a specific project. The findings aren’t shared outside the design team but typically make a fleeting appearance on a research wall or end up buried in someone’s email inbox. Even when research findings are written down, and even when the report is archived somewhere, people typically don’t know how to go about finding it. Organisations are generally poor at creating a shared repository of knowledge and rarely teach staff how to use the intranet or where past reports might be located. The result of these obstacles is that companies waste time and money either doing research that already exists or asking the wrong research questions.

So within your organisation, you should:

Talk to your stakeholders. Get to know the product owner and understand their goals, vision and concerns.
Examine call centre analytics or web analytics (if there is an existing service).
Talk to front line, customer facing people who currently interact with users.

In almost every project, you'll find some research that exists into users, goals and environments. This may not be directly relevant to your specific research questions but it will help you become knowledgeable about the domain.

Once you’ve covered the areas of overlap, your next step is to look for more generic information about your users, the environment in which they’ll use the system, and the kinds of goals your system will support.

What research has been done with your users, even if it’s not directly relevant to their goals when using your system?
What research has been done on the kind of goals your system will support, even if the research has been done with a different user group?
What research exists on the kinds of environment where you expect your system to be used (environment means hardware, software and the physical and social environments in which your system will be used).

In this step, you’ll find it useful to:

Review existing research done by Government organisations.'In the UK, the Office for National Statistics has a wealth of information about citizens that may be useful to understand your users, such as demographics about Internet users , consumer trends and facts about online retail sales in the UK
Review research carried out by relevant charities. For example, if you’re developing a new kind of tool to help diabetics measure their sugar levels, you should bookmark the research done by Diabetes UK . Web sites like Charity Choice allow you to browse through and locate hundreds of different charitable organisations so you’re bound to find at least one that’s relevant.
Search Google Scholar to find relevant research carried out by universities. Although you may struggle to appreciate the nuances of certain academic arguments, you could always use this route to find the researcher’s contact details and give them a call.
If your system will be used in a work context, study interviews at careers web sites. For example, The Guardian's careers section has interviews with people working as tattoo artists , forensic scientists , and as a royal footman so the chances are that you'll be able to get some context for whatever job title your system is aimed at. You should also check the Guardian's " What I'm Really Thinking " series.

Judging the quality of the research you find

Judging the quality of research is a whole article in itself. Fortunately, Philip Hodgson’s guidelines for reviewing consumer research reports has it covered.

There’s just one thing I’d add to Philip’s guidelines. Beware of dismissing research just because it was done a few years ago. People new to research often make the mistake of viewing research reports like so many yogurts in a fridge where the sell-by dates have expired. Just because it was done a couple of years ago, don’t think it’s no longer relevant. The best research tends to focus on human behaviour, and that tends to change very slowly.

Interested in this topic?

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About the author

Dr. David Travis ( @userfocus ) has been carrying out ethnographic field research and running product usability tests since 1989. He has published three books on user experience including Think Like a UX Researcher . If you like his articles, you might enjoy his free online user experience course .

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Is Consumer Research Losing Its Focus?
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What is Desk Research? A Guide + Examples

Desk research can help you make data-driven decisions, define or adapt strategies, and uncover untapped market potential to drive growth – when it’s done right!

Nowadays, we have all the information we need at our fingertips; but knowing where to find the right data quickly is key.

So, what is desk research? What does it involve, and how can Similarweb Research Intelligence help?

Let’s find out.

What is desk research?

Desk research is a type of market research that uses existing data to support or validate outcomes and conclusions. Also known as secondary research , it’s a cost-effective way to obtain relevant data from a broad range of channels.

How is desk research used?

From small start-ups to established businesses, doing desk research provides you with crucial insights into trends, competitors, and market size . Whatever you do, desk research can help with product positioning and guide data-driven business decisions that help you become the ultimate competitor and find new ways to grow.

According to the latest data on the Internet of Things , around 130 new devices connect to the web every second. Stats on the state of data show we create and consume data at an exponential rate–data interactions will only continue to rise.

Primary vs. secondary research – what’s the difference?

Most market research methods fall into either primary or secondary research. When we talk about desk research, we tend to focus only on secondary methods. However, most primary research can also be done remotely, from a desk.

Difference between primary and secondary research

Primary research is self-conducted research that gathers data to answer questions. It usually involves going directly to a source, such as a customer or a prospect. Compared to secondary research, it takes longer, costs more, and demands more resources. Primary research methods include interviews, market research surveys , questionnaires, competitor reviews, market mapping , focus groups, etc.

Secondary research is the synthesis or summary of existing research using previously gained information from various sources. Most market research starts with secondary research: It aims to provide a researcher or analyst with a basis of knowledge formed from existing data. Secondary research methods include collecting data from the internet, government databases, reports, and academic journals, to name just a few.

Pros and cons of desk research

As with any type of market research, you need to choose the right method to deliver the best outcome for your research goal. Desk research is advantageous for several reasons, but it won’t always suit every market research project. Market research best practice tells us that we should use desk-based research before primary research – as this helps to reduce or refine the scope of the work before the second, more costly phase.

Here’s a summary of the pros and cons of desk research.

Advantages of desk-based research

Doing secondary market research is highly beneficial; here’s why.

Low cost – most secondary research sources are low-to-no cost.
Speed – as the data already exists, data collection is quick.
Clarity – desk research drives & add-value to primary research actions.
Scalability – due to the large datasets used in secondary research.
Availability – pre-collected data is readily available to analyze.
Insightful – get valuable insights and help resolve some initial research questions.

Disadvantages of desk-based research

As any good researcher will attest, it’s always good to look at a topic from every angle. Here are a few things to consider before starting any secondary research process.

Out of-date data – consider if the coverage dates of the research are relevant. In a fast-moving market, having access to up-to-date information could be critical.
Lack of perceived control over the data – secondary research is undertaken by a third party; as such, methodology controls need to be reviewed with caution.
No exclusivity – desk research data is widely available and can be used by other researchers.
Verification & interpretation – particularly when working with large data sets, it can take time to analyze and review to ensure the information is suitable for your research.

Types of desk-based research

Nowadays, you can do most market research from a desk. Here, I’ll focus solely on secondary research methods: Where finding and using the right resources is key. The data you use needs to be up-to-date and should always come from a trusted source.

Desk research methods – internal data resources

Before stepping into external research, look for any relevant internal sources. This data can often prove invaluable, and it’s a great place to start gathering insights that only you can see. The information is already yours, so aside from the fact it won’t cost a dime, it’s data your rivals won’t have access to.

Sources of internal information that can help you do desk research include:

Historical campaign and sales analysis: Everything from website traffic and conversions through to sales. Accessible through your own analytics platform(s).
Website and mobile application data: Your own platforms can also tell you where users are – such as the device split between mobile and desktop.
Existing customer information: audience demographics , product use, and efficiency of service.
Previous research conducted by other analysts: Even if the research seems unrelated, there could be indicative information within.

Desk research methods – external data resources

Using external data sources for desk research is an ideal way to get information about market trends, and explore a new topic.

The internet: A virtual aggregator of all secondary research sources – always validate findings with credible sources.
Commercial resources: Research associations and company reports usually cost money but give you data that’s specific to your industry/aim.
Trade association reports: To see if there’s a trade association of interest, do a quick search online or use the Encyclopedia of Associations , the Directory of Associations , or the National Trade and Professional Associations Directory
Industry Experts: Expert consultancy is an efficient way of getting information from someone who has ‘been there, done that.’ Also, consider ‘influencers.’
Research associations & journals: Most research associations are independent and offer bespoke, specialized reports.
Media coverage: TV, radio, newspapers, and magazines can often help uncover facts and relevant media stories related to your topic.
Market research intelligence software: Platforms like Similarweb give you actionable insights into industry and competitors’ trends. With access to mobile app intelligence, you get a complete picture of the digital landscape.
Government & non-government agencies: In the US, the biggest generator of data is the federal government. US Census Bureau , Congressional Research Service , US Government Publishing Office , US Small Business Administration , and the Department of Education . Most information from these sources is free.
Local government sites: A reliable source to find data on population density or employment trends.
Public library records: Access data via the Digital Public Library of America in the US or the National Archives in the UK.
Competitor information: Sign-up for mailing lists, view comparison reports, and read online reviews.
Educational institutions: Academic research papers and journals are well-researched. If you can find a relevant one, you’ll likely get solid data from credible sources.

How to choose the best type of desk research

With so many freely-available sources online for desk-based research; it’s easy to feel overwhelmed. The best guidance I can offer is to keep a list of key questions you are trying to answer with this research, and consider:

What are you hoping to learn from your research?
Why is this data relevant?
Is there an action you can take from this information?
How up-to-date is the data you are using?

Always keep the questions you’re trying to answer front of mind. It’ll help you stay focused and keep your desk research on the right track. Time and money will usually determine the right type of desk research to use, but, even then, it’s important to stay focussed on where you spend your time vs. the return on that investment.

Inspiration: This article outlines some of the best market research questions to ask.

How to do desk research in five steps

Follow these steps to guide you through doing desktop research:

1. Clearly define your research topic Identify your topic and its purpose, then list any relevant research attributes.

2. Select appropriate resources Make a list of sources that’ll provide relevant information for your research topic.

3. Look for existing data Once you’ve collated your research sources, look for internal and external data relevant to your research topic. Remember to only use data from authentic sources.

4. Collate, compare & assemble Next, you’ll need to collate all the data you’ve obtained, remove any duplication, and bring it together into a usable format.

5. Data analysis The final step of doing desk research is to analyze the data. At this point, you should be able to see if your research questions have been answered. If any questions remain unanswered, go back to step 2, and look for alternative resources that will help you get clearer insights.

Desk-based research tools

Online resources are by far your most valuable asset for doing secondary research. However, software like Similarweb Digital Intelligence , Google Analytics (GA), and Google Search Console (GSC) can save you time and give you a more visually-appealing view of relevant data.

My list of go-to tools for desk research includes:

Google Analytics & Search Console – your own site’s performance and visitor stats.
Similarweb Digital Research Intelligence – uncover market, industry & competitor trends across web, mobile, and apps.
Tableau – data visualization for presenting your findings.
Competitor data – on rival’s websites, newsletters, and social media accounts.

Read: The best market research tools of 2023

Note that GA and GSC are free to use but limited in terms of what you can see outside your own site. With Similarweb, you can access virtually limitless industry-wide data.

Stop Guessing, Start Analyzing

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How Similarweb helps with desk research

Here are just a few examples of how Similarweb Digital Research Intelligence can help you with secondary research.

Benchmarking yourself against your industry – Benchmarking suite
Understand how competitor websites and apps perform – Company research module
Get a full picture of your industry – Market research & industry analysis tools
Understand how apps are impacting your market – App Intelligence
Analyze consumer behavior – Audience analysis tool
Understand the complete customer journey – Consumer journey tracker

Using research intelligence tools will save you time and money while removing bias from the data – ultimately giving you clarity and a complete view of the digital world relevant to your research topic.

Success Story: See how Airbnb uses Similarweb to reveal growth opportunities in new markets .

Desk research examples with Similarweb

A good example of desk research in action is looking into an industry to uncover market leaders, trends, relevant search trends, and an overview of a complete industry. Using the market analysis module in Similarweb, you can find out exactly what’s happening in your market, and make data-driven decisions that’ll help you increase market share , and drive faster, more sustainable business growth.

For this particular desk research example, I chose the airline industry.

Let’s dive in.

Industry Overview

See a snapshot of industry traffic and engagement metrics . This data is typically based on Similarweb’s index of the top 100 websites in a chosen vertical. You can easily create a custom industry , allowing you to do competitive benchmarking against specific companies in your market.

Industry Leaders

Quickly see who is winning in an industry using the Market quadrant analysis graph and industry leaders table. Analyze top-performing websites in your vertical, and dive into their traffic and engagement performance to view bounce rates, visit duration, monthly visits, month-on-month changes, unique visitors, pages/visits, and traffic share .

Industry Trends

Analyze trends in near real-time so you can take action when it matters most–not a quarter later. Create a personalized view of your industry for in-depth analysis and make informed decisions that will help you grow your market share.

Marketing Channels

Access valuable traffic metrics and insights for each marketing channel. See data for direct, social, display ads, paid search, referrals, emails, and organic traffic channels and evaluate performance for each. Uncover opportunities to grow your own traffic share, evaluate engagement and quality of traffic, and identify trends over time.

Search Trends (within an industry)

Discover trending topics and emerging search terms in any industry. View what’s trending, search volume, % change, volume trend, and traffic leaders for both branded and non-branded search in your sector. Use these insights to get an understanding of market demand, search intent, and audience interests within a specific category, brand, or product.

Similarweb search trends - platform screenshot

Demographics

Gain crucial insights into the audiences visiting your website, your competitors’ websites, and your industry as a whole. See gender and age distribution across web, mobile, or combined traffic channels, and compare your demographics with that of your rivals.

The market analysis element of Similarweb will help you answer some of your most important research questions, such as:

How a specific industry grew over time
Who the top and emerging players are in your industry
Which products or services are trending and/or what are consumers searching for
What demographics are relevant to you, and your competitors

The app intelligence module completes the picture and gives you a broad view of the digital landscape across your market. You can quickly see how apps are impacting your industry, and look at download, engagement, installs, ranking, and more.

Here, I’m sticking with the airline industry to establish whether or not android or iOS is the best fit for a new app. Immediately, I can see there are between 1-1.5M monthly active users on iOS vs. an equivalent of around 350,000k on Android.

Like what you see? Take a tour of Similarweb for yourself.

Discover industry insights for desk research here

Wrapping up

Good desk research helps you quickly uncover key information that can shape and steer successful market research projects. When done right, you’ll be able to answer questions and discover crucial data about your industry, competitors, and key trends to consider while building a strategy for growth.

Asking the right research questions from the onset and keeping these at the forefront of your mind throughout will save time and help direct your market analysis in the right direction.

Is desk-based research free?

Depending on the method used, desktop research can be done for free. If you require industry or government agency reports, these often carry a charge but are more likely to be free from bias when compared to commercially produced reports that (sometimes) receive sponsorship.

Which businesses can utilize secondary desk research?

Desk-based research can uncover crucial insights into market trends, market sizing, and competitors. The information can be used by any size business to help guide strategic decision-making and help refine a product’s positioning.

Should you do secondary research before primary research?

Absolutely, yes. Secondary research should always come before primary or field research. The formative research phase helps pinpoint where more in-depth primary research is required. Desk research can also verify and support findings from field research but should not replace primary research–as they are each utilized under different circumstances.

Who does desk-based research?

Desk research can ‘technically’ be done by anyone, but it’s typically performed by a researcher, an analyst, or a marketing professional. Good market research has solid foundational data to drive critical business decisions. Experienced researchers and analysts are best-placed to spot opportunities, trends, and patterns when the stakes are this high.

So, while anybody can access secondary data free of charge, investing the necessary resources to do things right to get the most out of the process is essential.

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Wondering what similarweb can do for you.

Here are two ways you can get started with Similarweb today!

PhD Assistance

A comprehensive guide to desk-based research: unlocking secondary data sources.

Introduction

What is Desk-based research?

Desk research is a type of study based on material published in reports and similar materials available in public libraries, websites, data acquired from previously conducted surveys, and so on. Some businesses also keep data that can be utilized for the study. It is a research approach that uses already secondary data collection methods . These are gathered and summarized to improve the investigation’s overall efficacy.

Desk-based research, also known as secondary research, involves utilizing existing sources of information to gather data for your PhD thesis . This type of research can be a valuable complement to primary research, as it allows you to explore existing knowledge, gain insights, and support or refute existing theories.

Desk-based research examples:

Desk research is a popular alternative for businesses and organizations since it is a low-cost approach. Not everyone can afford to pay significant amounts of money to research design and gather data. That is why it is also known as “documentary research.”

Here’s a comprehensive guide to conducting desk-based research and unlocking secondary data sources for your PhD thesis:

Refine your research questions : Clearly define your research questions or objectives. This will help you focus your desk-based research efforts and identify the specific types of data you need to collect.
Identify relevant sources : Determine the types of sources that are most suitable for your research. These can include academic journals, books, conference proceedings, government reports, industry publications, statistical databases, websites, and other scholarly resources. Consider both online and offline sources.
Develop search strategies : Plan your search strategies to locate relevant information effectively. Start by creating a list of keywords and synonyms related to your research topic. Use these keywords to search databases, library catalogues, and search engines. Consider using Boolean operators (AND, OR, NOT) to effectively refine your searches and combine keywords.
Utilize academic databases : Academic databases such as JSTOR, PubMed , Scopus, Web of Science, and Google Scholar are excellent resources for finding scholarly articles and papers. These databases allow you to search across various disciplines and access a wide range of academic publications.
Explore institutional libraries : Visit your university or other institutions to access books, thesis, dissertations , and other relevant materials. Librarians can guide you on using the library catalog effectively and help you navigate available resources.
Access government and organizational reports : Government agencies, research institutes, and organizations often publish reports, white papers, and studies that can provide valuable data and insights. To access these reports, visit relevant websites and explore their research or publications sections.

Evaluate source credibility : Assess the credibility and reliability of the sources you find. Consider factors such as the author’s expertise, the publication’s reputation, the presence of peer review, and the recency of the information. Use academic judgment to determine the trustworthiness of the sources.
Extract and organize data : Extract relevant data from the sources you collect. This can include quantitative data, qualitative findings, theories, arguments, or conceptual frameworks. Create a system to organize and store your extracted secondary data collection, such as a spreadsheet or a reference management tool like Zotero or Mendeley.
Check out our Sample data collection for the Project to see how the secondary data collection is constructed.
Analyze and synthesize the data : Analyze the secondary data in the research methodology you have gathered and synthesize the information to support your research questions. Identify patterns, themes, and gaps in the existing literature . Compare and contrast different viewpoints and theories, and critically evaluate the strength of the evidence.
Integrate secondary data with primary research: If you are conducting primary research alongside your desk-based research, integrate the types of secondary data collection into your analysis. Use the secondary data to provide context, compare findings, or support your arguments.
Cite and reference your sources : Properly cite and reference all the sources you have used in your desk-based research methodology dissertation. Follow the appropriate citation style (e.g., APA, MLA, Chicago) as per your institution’s guidelines. Maintain accurate records of your references to avoid plagiarism and facilitate the writing of your thesis.

Desk-based research provides a foundation of knowledge and can significantly enhance the quality and depth of your PhD thesis. However, it is important to balance secondary research with primary research to contribute original insights and perspectives to your field of study.

Check out our study guide to learn more about Secondary data collection. How to collect data for your PhD Thesis?

Qualitative desk-based research leverages existing data sources to access diverse information without primary data collection . Researchers gain insights into historical trends, longitudinal studies, and cross-comparisons by analyzing academic journals, government reports, industry publications, and online databases. However, caution must be exercised to ensure data credibility and relevance. Skilled researchers can make well-founded, evidence-based conclusions in any field.

About PhD Assistance

Ph.D. Assistance is completely aware that data collecting is the most critical phase in doing research and can significantly impact the results or conclusion. Our global staff of PhD experts assists you in data collecting based on the study topic and data source. Because PhD experts from across the world educate our data-collecting staff, their implicit and explicit expertise has enabled them to gather any survey (personal interview, mail, in-house), focus groups, etc. and translate it into a more accessible format, therefore assisting decision-making.

Guerin, Benoit, Barbara Janta, and Anke van Gorp. “Desk-based research and literature review.” Evaluating interventions that prevent or counter violent extremism 63 (2018).
Bassot, Barbara. Doing qualitative desk-based research: a practical guide to writing an excellent dissertation . Policy Press, 2022.
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How to use desk research in UX and service design?

Woman is conducting desk research at her desk wearing glasses and a white shirt.

When you think about conducting research for UX or service design, you often think of the usual suspects – surveys , interviews , observations , diary studies , workshops , or usability testing . But, there is a less talked about step in the research process that the majority of human-centered design projects involve, which is “desk research”. This might be because it can feel a little academic, or let’s face it, boring, compared to the excitement of talking to real users and hearing firsthand what they have to say about your product or service.

Conducting desk research is a critical step in gaining more context about a problem space, understanding the current landscape, and drawing initial hypotheses for the research you’ll conduct with end-users. It can also be highly valuable for clients and stakeholders to see what trends might be popping up in a particular space (like banking, housing, cyber-security, etc.) and how that might influence business and product decisions down the line.

In this blog, we’ll cover:

What is desk research?
When to use desk research in the design process
The difference between internal and external research
Six key ty pes of desk research used in UX and service design

What is Desk Research?

Let’s start with the obvious question, what is “desk research”? It’s research you can do at a desk without going into the field. Desk research is a catchall term for different types of secondary research , which means you’re conducting a review of research previously conducted by other researchers. Conversely, primary research (like surveys , interviews , diary studies , and observations ) involves gathering data first-hand from users and research participants and generating novel insights. For example, secondary research may involve the literature review of journal articles that describe the findings from interviews and surveys (primary research) completed by another researcher. Desk research is a form of discovery research where you are essentially learning about the topic and problem space before starting to generate ideas and solutions.

When to use desk research in the design process?

Now that you know what desk research is at a high level, when should you conduct desk research? And what the heck is the point of it in the design process?

Desk research is typically done in the preliminary phases of the design and research process, after the project kick-off ! This is before you dig into creating a research plan, recruiting users for research, and conducting primary discovery research . We usually conduct desk research as part of project initiation. We might spend two weeks Googling and reading articles and relevant information online, analyzing that information, and thematically drawing conclusions that may then inform interview protocols, research planning, and design work. Sometimes, for quick projects where primary research with users isn’t feasible, desk research can go a long way toward filling in the gaps.

In addition, sometimes for well-researched/well-known problem areas, desk research is all that’s needed. If you’ve already done a ton of user research in the past, or a particular experience has been designed a million times before, you might not need to focus as much on exploratory research with users. Instead, you can do desk research and some usability testing or validation research once the design has started. Beware! We aren’t advocating for not talking to your users – if you’ve never talked to your users or this is a novel space, then you need to conduct desk research AND primary research before you dig into the design phase.

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There are several reasons to conduct desk research in the design process, including:

Informing the direction of primary research (the types of questions you will ask and areas of further exploration.)
Inspiring your design choices (seeing other design examples of what is being done in the industry you are designing for and analogous industries can give you ideas for what you will design.)
Developing a business case for conducting research in a new area.
Better understanding of the context/landscape/problem space.
Highlighting any trends that may impact the direction of the product/business/service in the near and long term.

Internal vs. External Desk Research

Before we dive into telling you about the different types of desk research out there, we should first talk about where that data is coming from. There are two perspectives to consider in your desk research, 1) what is going on internally with your organization/product/service, and 2) what is going on externally with competitors, other jurisdictions, trends and research in the same or similar spaces. Looking inside your company means doing a review of information and/or research related to your project that has been done already. It’s important to gather this information first, so you have a solid understanding of what’s been done to date, the goals, and also the gaps in understanding. Looking outside your company/organization is important to understand the marketplace, how to position yourselves, and what information can be drawn from other people’s successes and failures. Both are important for information and future research!

The purpose and type of desk research will vary depending on the goals of your project. It’s best practice to use a mix of desk research methods to ensure that the themes you uncover are accurate.

Types of Internal Desk Research

Internal desk research is usually the first place to start because it’s using data that is readily available and accessible, and it will provide you with a better sense of what questions you need to answer through your external desk research (and of course through your primary research with users.)

Here are the three types of internal desk research that we most commonly use in service design and UX projects:

Document Review (internal) – A document review entails reviewing the existing documentation that your organization may have already created on the same or analogous topic. This is where you and your team will dig into previous research reports, existing user flows, process maps that were previously created, presentations delivered on the topic, and more. This will help you to understand why the project is important to the organization, as well as understand what work has been done previously that may inform the new work, or where new work may actually duplicate effort and be unnecessary.
As-Is Data Sources (internal) – As-is data sources refer to data that already exists from the internal systems. For example, data and stats that come from the call centre or help desk are often a great place to start. Looking at call volume or the number of tickets created, the types of issues being reported, and the most frequently reported issues, as well as other information that may come from an Interactive Voice Response (IVR) system. Some examples are how quickly tickets are resolved or answers to optional surveys sent out after a support call or ticket was resolved. These are all great examples of places to start with as-is data from internal sources. Note, that this type of desk research doesn’t apply to all projects and is most relevant when dealing with a technology product or service.
Web-Audit and/or Google Analytics Device (internal) – A web audit is another type of internal desk research method that is relevant to UX design projects. In this exercise, your team would review the existing website or applications, look at overall usability , and make an inventory of site pages and content types, which might inform the future-state information architecture, page layouts, and site structure. A web audit can also include a Heuristic Analysis/Review , which is a whole other method we’ll cover in another blog post! Outside of looking at the content and usability of an existing site or application, it’s also really useful to dig into the Google Analytics of the site. A Google analytics review will look at web traffic statistics and user behaviour data (such as drop-offs, time-on-page, page clicks, and page sequences) to determine common user paths, areas of confusion/frustration, and successful engagement. You can look for content that is searched for most often, which pages and links receive the most traffic, visitor demographics, and more.

These are only three of the internal desk research methods, we haven’t touched on all possible methods, including things like social media audits, which can also be very helpful.

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Types of External Desk Research

Literature review (external) – This might be the desk research method you are most familiar with, and if you went to university, you likely did a fair bit back in the day! A literature review involves reading existing literature (in the form of books, journal articles, reputable online blogs and articles, research reports, white papers, etc.) and highlighting common themes that are appearing across the various secondary sources. Typically, once you highlight a few themes that would be relevant to your project, you’ll report on them by summarizing the theme and providing links to references. A literature review is a helpful pre-discovery exercise, to identify areas of exploration for primary research, inform the research planning, and develop a line of questioning for interviews and surveys. How do you conduct a literature review? Usually, you’ll print off articles, read and highlight important passages, and use coding/tagging methods as repeating ideas appear across the various articles and books.
Jurisdictional Scan (external) – A jurisdictional scan is very useful when you are conducting research within the government. Oftentimes, in public sector projects, it’s important to understand what other departments and organizations from different countries, provinces, or municipalities are doing in the same space. For example, if you’re completing a digital transformation of motor vehicle registration and bringing those processes online, it might be useful to see how other jurisdictions have successfully done that in the past. A scan will help you identify some experts that you could reach out to from those jurisdictions to ask about their learnings. This is especially important in government because as you can probably guess, public sector work has a lot of red tape and is heavily bureaucratic. Whatever solution you design may require changes to policy, which can impact job functioning and completely change entire departments. So, you need to look into policies that may need to be changed in order to complete the transformation, and in doing that you’d want to learn the successes and failures of others to know exactly what to look out for.
Competitive Analysis/Comparative Analysis (external) – Evaluate and compare existing products or services in the marketplace. This is particularly helpful in UX/UI projects when you want to understand where your product will fit in the market , how it differs from the competition and any gaps or areas of opportunity that may be untapped. A competitive analysis typically starts with some quick google searches, looking at google images, and also creating a dummy account on your competitor’s sites so you can capture the experience. You might be looking to compare things like ease of use, flow, and features. This work will involve capturing screenshots, screen recording interactions of competitor experiences, and comparing them against several different criteria. Criteria may include, but are not limited to, features, friction, number of clicks, data entry requirements, accessibility compliance, look and feel, and ideal paths/ journeys . The value of a competitive analysis is that it can bring the design team a lot of inspiration, it can prove or disprove the value of your product/service, and help your team to find ways to further differentiate your service. Competitive analysis can include things like a simple feature list comparison between the various applications/products in the same space (imaging Asana vs. Trello vs. Monday.com ). It may also include documenting detailed user flows in a tool, like Figma or Miro , by grabbing screenshots and linking them together. Another useful analysis is to create a 2×2 framework by which to compare. Choose two meaningful spectrums by which to compare the competitors and hopefully this will show the gaps/areas for growth in the market.

Once again, there are many other methods for conducting external desk research, like looking into trends and strategic forecasting, but we’ll save these for another day! Even though desk research might not be the most “exciting” form of research, it’s important and shouldn’t be left behind. After reading this post, you should better understand what desk research is, exactly how it fits into the design process and the differences between internal and external desk research.

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Open access
Published: 23 August 2022

Prognostic risk factors for moderate-to-severe exacerbations in patients with chronic obstructive pulmonary disease: a systematic literature review

John R. Hurst 1 ,
MeiLan K. Han 2 ,
Barinder Singh 3 ,
Sakshi Sharma 4 ,
Gagandeep Kaur 3 ,
Enrico de Nigris 5 ,
Ulf Holmgren 6 &
Mohd Kashif Siddiqui 3

Respiratory Research volume 23 , Article number: 213 ( 2022 ) Cite this article

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Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide. COPD exacerbations are associated with a worsening of lung function, increased disease burden, and mortality, and, therefore, preventing their occurrence is an important goal of COPD management. This review was conducted to identify the evidence base regarding risk factors and predictors of moderate-to-severe exacerbations in patients with COPD.

A literature review was performed in Embase, MEDLINE, MEDLINE In-Process, and the Cochrane Central Register of Controlled Trials (CENTRAL). Searches were conducted from January 2015 to July 2019. Eligible publications were peer-reviewed journal articles, published in English, that reported risk factors or predictors for the occurrence of moderate-to-severe exacerbations in adults age ≥ 40 years with a diagnosis of COPD.

The literature review identified 5112 references, of which 113 publications (reporting results for 76 studies) met the eligibility criteria and were included in the review. Among the 76 studies included, 61 were observational and 15 were randomized controlled clinical trials. Exacerbation history was the strongest predictor of future exacerbations, with 34 studies reporting a significant association between history of exacerbations and risk of future moderate or severe exacerbations. Other significant risk factors identified in multiple studies included disease severity or bronchodilator reversibility (39 studies), comorbidities (34 studies), higher symptom burden (17 studies), and higher blood eosinophil count (16 studies).

Conclusions

This systematic literature review identified several demographic and clinical characteristics that predict the future risk of COPD exacerbations. Prior exacerbation history was confirmed as the most important predictor of future exacerbations. These prognostic factors may help clinicians identify patients at high risk of exacerbations, which are a major driver of the global burden of COPD, including morbidity and mortality.

Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide [ 1 ]. Based upon disability-adjusted life-years, COPD ranked sixth out of 369 causes of global disease burden in 2019 [ 2 ]. COPD exacerbations are associated with a worsening of lung function, and increased disease burden and mortality (of those patients hospitalized for the first time with an exacerbation, > 20% die within 1 year of being discharged) [ 3 ]. Furthermore, patients with COPD consider exacerbations or hospitalization due to exacerbations to be the most important disease outcome, having a large impact on their lives [ 4 ]. Therefore, reducing the future risk of COPD exacerbations is a key goal of COPD management [ 5 ].

Being able to predict the level of risk for each patient allows clinicians to adapt treatment and patients to adjust their lifestyle (e.g., through a smoking cessation program) to prevent exacerbations [ 3 ]. As such, identifying high-risk patients using measurable risk factors and predictors that correlate with exacerbations is critical to reduce the burden of disease and prevent a cycle of decline encompassing irreversible lung damage, worsening quality of life (QoL), increasing disease burden, high healthcare costs, and early death.

Prior history of exacerbations is generally thought to be the best predictor of future exacerbations; however, there is a growing body of evidence suggesting other demographic and clinical characteristics, including symptom burden, airflow obstruction, comorbidities, and inflammatory biomarkers, also influence risk [ 6 , 7 , 8 , 9 ]. For example, in the prospective ECLIPSE observational study, the likelihood of patients experiencing an exacerbation within 1 year of follow-up increased significantly depending upon several factors, including prior exacerbation history, forced expiratory volume in 1 s (FEV 1 ), St. George’s Respiratory Questionnaire (SGRQ) score, gastroesophageal reflux, and white blood cell count [ 9 ].

Many studies have assessed predictors of COPD exacerbations across a variety of countries and patient populations. This systematic literature review (SLR) was conducted to identify and compile the evidence base regarding risk factors and predictors of moderate-to-severe exacerbations in patients with COPD.

Systematic literature review

A comprehensive search strategy was designed to identify English-language studies published in peer-reviewed journals providing data on risk factors or predictors of moderate or severe exacerbations in adults aged ≥ 40 years with a diagnosis of COPD (sample size ≥ 100). The protocol is summarized in Table 1 and the search strategy is listed in Additional file 1 : Table S1. Key biomedical electronic literature databases were searched from January 2015 until July 2019. Other sources were identified via bibliographic searching of relevant systematic reviews.

Study selection process

Implementation and reporting followed the recommendations and standards of the Preferred Reporting Items for Systematic reviews and Meta-analyses (PRISMA) statement [ 10 ]. An independent reviewer conducted the first screening based on titles and abstracts, and a second reviewer performed a quality check of the excluded evidence. A single independent reviewer also conducted the second screening based on full-text articles, with a quality check of excluded evidence performed by a second reviewer. Likewise, data tables of the included studies were generated by one reviewer, and another reviewer performed a quality check of extracted data. Where more than one publication was identified describing a single study or trial, data were compiled into a single entry in the data-extraction table to avoid double counting of patients and studies. One publication was designated as the ‘primary publication’ for the purposes of the SLR, based on the following criteria: most recently published evidence and/or the article that presented the majority of data (e.g., journal articles were preferred over conference abstracts; articles that reported results for the full population were preferred over later articles providing results of subpopulations). Other publications reporting results from the same study were designated as ‘linked publications’; any additional data in the linked publications that were not included in the primary publication were captured in the SLR. Conference abstracts were excluded from the SLR unless they were a ‘linked publication.’

Included studies

A total of 5112 references (Fig. 1 ) were identified from the database searches. In total, 76 studies from 113 publications were included in the review. Primary publications and ‘linked publications’ for each study are detailed in Additional file 1 : Table S2, and study characteristics are shown in Additional file 1 : Table S3. The studies included clinical trials, registry studies, cross-sectional studies, cohort studies, database studies, and case–control studies. All 76 included studies were published in peer-reviewed journals. Regarding study design, 61 of the studies were observational (34 retrospective observational studies, 19 prospective observational studies, four cross-sectional studies, two studies with both retrospective and prospective cohort data, one case–control study, and one with cross-sectional and longitudinal data) and 15 were randomized controlled clinical trials.

PRISMA flow diagram of studies through the systematic review process. CA conference abstract, CENTRAL Cochrane Central Register of Controlled Trials, PRISMA Preferred Reporting Items for Systematic Reviews and Meta-Analyses

Of the 76 studies, 16 were conducted in North America (13 studies in the USA, two in Canada, and one in Mexico); 26 were conducted in Europe (seven studies in Spain, four in the UK, three in Denmark, two studies each in Bulgaria, the Netherlands, and Switzerland, and one study each in Sweden, Serbia, Portugal, Greece, Germany, and France) and 17 were conducted in Asia (six studies in South Korea, four in China, three in Taiwan, two in Japan, and one study each in Singapore and Israel). One study each was conducted in Turkey and Australia. Fifteen studies were conducted across multiple countries.

The majority of the studies (n = 54) were conducted in a multicenter setting, while 22 studies were conducted in a single-center setting. The sample size among the included studies varied from 118 to 339,389 patients.

Patient characteristics

A total of 75 studies reported patient characteristics (Additional file 1 : Table S4). The mean age was reported in 65 studies and ranged from 58.0 to 75.2 years. The proportion of male patients ranged from 39.7 to 97.6%. The majority of included studies (85.3%) had a higher proportion of males than females.

Exacerbation history (as defined per each study) was reported in 18 of 76 included studies. The proportion of patients with no prior exacerbation was reported in ten studies (range, 0.1–79.5% of patients), one or fewer prior exacerbation in ten studies (range, 46–100%), one or more prior exacerbation in eight studies (range, 18.4–100%), and two or more prior exacerbations in 12 studies (range, 6.1–55.0%).

Prognostic factors of exacerbations

A summary of the risk factors and predictors reported across the included studies is provided in Tables 2 and 3 . The overall findings of the SLR are summarized in Figs. 2 and 3 .

Risk factors for moderate-to-severe exacerbations in patients with COPD. Factors with > 30 supporting studies shown as large circles; factors with ≤ 30 supporting studies shown as small circles and should be interpreted cautiously. BDR bronchodilator reversibility, BMI body mass index, COPD chronic obstructive pulmonary disease, EOS eosinophil, QoL quality of life

Summary of risk factors for exacerbation events. a Treatment impact studies removed. BDR bronchodilator reversibility, BMI body mass index, COPD chronic obstructive pulmonary disease, EOS eosinophil, QoL quality of life

Exacerbation history within the past 12 months was the strongest predictor of future exacerbations. Across the studies assessing this predictor, 34 out of 35 studies (97.1%) reported a significant association between history of exacerbations and risk of future moderate-to-severe exacerbations (Table 3 ). Specifically, two or more exacerbations in the previous year or at least one hospitalization for COPD in the previous year were identified as reliable predictors of future moderate or severe exacerbations. Even one moderate exacerbation increased the risk of a future exacerbation, with the risk increasing further with each subsequent exacerbation (Fig. 4 ). A severe exacerbation was also found to increase the risk of subsequent exacerbation and hospitalization (Fig. 5 ). Patients experiencing one or more severe exacerbations were more likely to experience further severe exacerbations than moderate exacerbations [ 11 , 12 ]. In contrast, patients with a history of one or more moderate exacerbations were more likely to experience further moderate exacerbations than severe exacerbations [ 11 , 12 ].

Exacerbation history as a risk factor for moderate-to-severe exacerbations. Yun 2018 included two studies; the study from which data were extracted (COPDGene or ECLIPSE) is listed in parentheses. CI confidence interval, ES effect size

Exacerbation history as a risk factor for severe exacerbations. Where data have been extracted from a linked publication rather than the primary publication, the linked publication is listed in parentheses. CI confidence interval, ES , effect size

Overall, 35 studies assessed the association of comorbidities with the risk of exacerbation. All studies except one (97.1%) reported a positive association between comorbidities and the occurrence of moderate-to-severe exacerbations (Table 3 ). In addition to the presence of any comorbidity, specific comorbidities that were found to significantly increase the risk of moderate-to-severe exacerbations included anxiety and depression, cardiovascular comorbidities, gastroesophageal reflux disease/dyspepsia, and respiratory comorbidities (Fig. 6 ). Comorbidities that were significant risk factors for severe exacerbations included cardiovascular, musculoskeletal, and respiratory comorbidities, diabetes, and malignancy (Fig. 7 ). Overall, the strongest association between comorbidities and COPD readmissions in the emergency department was with cardiovascular disease. The degree of risk for both moderate-to-severe and severe exacerbations also increased with the number of comorbidities. A Dutch cohort study found that 88% of patients with COPD had at least one comorbidity, with hypertension (35%) and coronary heart disease (19%) being the most prevalent. In this cohort, the comorbidities with the greatest risk of frequent exacerbations were pulmonary cancer (odds ratio [OR] 1.85) and heart failure (OR 1.72) [ 7 ].

Comorbidities as risk factors for moderate-to-severe exacerbations. Yun 2018 included two studies; the study from which data were extracted (COPDGene or ECLIPSE) is listed in parentheses. Where data have been extracted from a linked publication rather than the primary publication, the linked publication is listed in parentheses. CI confidence interval, ES effect size, GERD gastroesophageal disease

Comorbidities as risk factors for severe exacerbations. Where data have been extracted from a linked publication rather than the primary publication, the linked publication is listed in parentheses. CI confidence interval, CKD , chronic kidney disease, ES effect size

The majority of studies assessing disease severity or bronchodilator reversibility (39/41; 95.1%) indicated a significant positive relation between risk of future exacerbations and greater disease severity, as assessed by greater lung function impairment (in terms of lower FEV 1 , FEV 1 /forced vital capacity ratio, or forced expiratory flow [25–75]/forced vital capacity ratio) or more severe Global Initiative for Chronic Obstructive Lung Disease (GOLD) class A − D, and a positive relationship between risk of future exacerbations and lack of bronchodilator reversibility (Table 3 , Figs. 8 and 9 ).

Disease severity as a risk factor for moderate-to-severe exacerbations. Yun 2018 included two studies; the study from which data were extracted (COPDGene or ECLIPSE) is listed in parentheses. Where data have been extracted from a linked publication rather than the primary publication, the linked publication is listed in parentheses. CI confidence interval, ES effect size, FEV 1 f orced expiratory volume in 1 s, FVC , forced vital capacity, GOLD Global Initiative for Obstructive Lung Disease, HR hazard ratio, OR odds ratio

Disease severity and BDR as risk factors for severe exacerbations. ACCP American College of Chest Physicians, ACOS Asthma-COPD overlap syndrome, ATS American Thoracic Society, BDR bronchodilator reversibility, CI confidence interval, ERS European Respiratory Society, ES effect size, FEV 1 forced expiratory volume in 1 s, FVC forced vital capacity, GINA Global Initiative for Asthma, GOLD Global Initiative for Obstructive Lung Disease

Of 21 studies assessing the relationship between blood eosinophil count and exacerbations (Table 3 ), 16 reported estimates for the risk of moderate or severe exacerbations by eosinophil count. A positive association was observed between higher eosinophil count and a higher risk of moderate or severe exacerbations, particularly in patients not treated with an inhaled corticosteroid (ICS); however, five studies reported a significant positive association irrespective of intervention effects. The risk of moderate-to-severe exacerbations was observed to be positively associated with various definitions of higher eosinophil levels (absolute counts: ≥ 200, ≥ 300, ≥ 340, ≥ 400, and ≥ 500 cells/mm 3 ; % of blood eosinophil count: ≥ 2%, ≥ 3%, ≥ 4%, and ≥ 5%). Of note, one study found reduced efficacy of ICS in lowering moderate-to-severe exacerbation rates for current smokers versus former smokers at all eosinophil levels [ 13 ].

Of 12 studies assessing QoL scales, 11 (91.7%) studies reported a significant association between the worsening of QoL scores and the risk of future exacerbations (Table 3 ). Baseline SGRQ [ 14 , 15 ], Center for Epidemiologic Studies Depression Scale (for which increased scores may indicate impaired QoL) [ 16 ], and Clinical COPD Questionnaire [ 17 , 18 ] scores were found to be associated with future risk of moderate and/or severe COPD exacerbations. For symptom scores, six out of eight studies assessing the association between moderate-to-severe or severe exacerbations with COPD Assessment Test (CAT) scores reported a significant and positive relationship. Furthermore, the risk of moderate-to-severe exacerbations was found to be significantly higher in patients with higher CAT scores (≥ 10) [ 15 , 19 , 20 , 21 ], with one study demonstrating that a CAT score of 15 increased predictive ability for exacerbations compared with a score of 10 or more [ 18 ]. Among 15 studies that assessed the association of modified Medical Research Council (mMRC) scores with the risk of moderate-to-severe or severe exacerbation, 11 found that the risk of moderate-to-severe or severe exacerbations was significantly associated with higher mMRC scores (≥ 2) versus lower scores. Furthermore, morning and night symptoms (measured by Clinical COPD Questionnaire) were associated with poor health status and predicted future exacerbations [ 17 ].

Of 36 studies reporting the relationship between smoking status and moderate-to-severe or severe exacerbations, 22 studies (61.1%) reported a significant positive association (Table 3 ). Passive smoking was also significantly associated with an increased risk of severe exacerbations (OR 1.49) [ 20 ]. Of note, three studies reported a significantly lower rate of moderate-to-severe exacerbations in current smokers compared with former smokers [ 22 , 23 , 24 ].

A total of 14 studies assessed the association of body mass index (BMI) with the occurrence of frequent moderate-to-severe exacerbations in patients with COPD. Six out of 14 studies (42.9%) reported a significant negative association between exacerbations and BMI (Table 3 ). The risk of moderate and/or severe COPD exacerbations was highest among underweight patients compared with normal and overweight patients [ 23 , 25 , 26 , 27 , 28 ].

In the 29 studies reporting an association between age and moderate or severe exacerbations, more than half found an association of older age with an increased risk of moderate-to-severe exacerbations (58.6%; Table 3 ). Four of these studies noted a significant increase in the risk of moderate-to-severe or severe exacerbations for every 10-year increase in age [ 25 , 26 , 29 , 30 ]. However, 12 studies reported no significant association between age and moderate-to-severe or severe exacerbation risk.

Sixteen out of 33 studies investigating the impact of sex on exacerbation risk found a significant association (48.5%; Table 3 ). Among these, ten studies reported that female sex was associated with an increased risk of moderate-to-severe exacerbations, while six studies showed a higher exacerbation risk in males compared with females. There was some variation in findings by geographic location and exacerbation severity (Additional file 2 : Figs. S1 and S2). Notably, when assessing the risk of severe exacerbations, more studies found an association with male sex compared with female sex (6/13 studies vs 1/13 studies, respectively).

Both studies evaluating associations between exacerbations and environmental factors reported that colder temperature and exposure to major air pollution (NO 2 , O 3 , CO, and/or particulate matter ≤ 10 μm in diameter) increased hospital admissions due to severe exacerbations and moderate-to-severe exacerbation rates [ 31 , 32 ].

Four studies assessed the association of 6-min walk distance with the occurrence of frequent moderate-to-severe exacerbations (Table 3 ). One study (25.0%) found that shorter 6-min walk distance (representing low physical activity) was significantly associated with a shortened time to severe exacerbation, but the effect size was small (hazard ratio 0.99) [ 33 ].

Five out of six studies assessing the relationship between race or ethnicity and exacerbation risk reported significant associations (Table 3 ). Additionally, one study reported an association between geographic location in the US and exacerbations, with living in the Northeast region being the strongest predictor of severe COPD exacerbations versus living in the Midwest and South regions [ 34 ].

Overall, seven studies assessed the association of biomarkers with risk of future exacerbations (Table 3 ), with the majority identifying significant associations between inflammatory biomarkers and increased exacerbation risk, including higher C-reactive protein levels [ 8 , 35 ], fibrinogen levels [ 8 , 30 ], and white blood cell count [ 8 , 15 , 16 ].

This SLR has identified several demographic and clinical characteristics that predict the future risk of COPD exacerbations. Key factors associated with an increased risk of future moderate-to-severe exacerbations included a history of prior exacerbations, worse disease severity and bronchodilator reversibility, the presence of comorbidities, a higher eosinophil count, and older age (Fig. 2 ). These prognostic factors may help clinicians identify patients at high risk of exacerbations, which are a major driver of the burden of COPD, including morbidity and mortality [ 36 ].

Findings from this review summarize the existing evidence, validating the previously published literature [ 6 , 9 , 23 ] and suggesting that the best predictor of future exacerbations is a history of exacerbations in the prior year [ 8 , 11 , 12 , 13 , 14 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 26 , 29 , 34 , 35 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 ]. In addition, the effect size generally increased with the number of prior exacerbations, with a stronger effect observed with prior severe versus moderate exacerbations. This effect was observed across regions, including in Europe and North America, and in several global studies. This relationship represents a vicious circle, whereby one exacerbation predisposes a patient to experience future exacerbations and leading to an ever-increasing disease burden, and emphasizes the importance of preventing the first exacerbation event through early, proactive exacerbation prevention. The finding that prior exacerbations tended to be associated with future exacerbations of the same severity suggests that the severity of the underlying disease may influence exacerbation severity. However, the validity of the traditional classification of exacerbation severity has recently been challenged [ 61 ], and further work is required to understand relationships with objective assessments of exacerbation severity.

In addition to exacerbation history, disease severity and bronchodilator reversibility were also strong predictors for future exacerbations [ 8 , 14 , 16 , 18 , 19 , 20 , 22 , 23 , 24 , 26 , 28 , 29 , 33 , 37 , 40 , 43 , 44 , 45 , 46 , 48 , 50 , 51 , 52 , 56 , 59 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 ]. The association with disease severity was noted in studies that used GOLD disease stages 1–4 and those that used FEV 1 percent predicted and other lung function assessments as continuous variables. Again, this risk factor is self-perpetuating, as evidence shows that even a single moderate or severe exacerbation may almost double the rate of lung function decline [ 79 ]. Accordingly, disease severity and exacerbation history may be correlated. Margüello et al. concluded that the severity of COPD could be associated with a higher risk of exacerbations, but this effect was partly determined by the exacerbations suffered in the previous year [ 23 ]. It should be noted that FEV 1 is not recommended by GOLD for use as a predictor of exacerbation risk or mortality alone due to insufficient precision when used at the individual patient level [ 5 ].

Another factor that should be considered when assessing individual exacerbation risk is the presence of comorbidities [ 7 , 14 , 16 , 18 , 19 , 20 , 21 , 22 , 24 , 25 , 26 , 27 , 28 , 30 , 33 , 34 , 35 , 40 , 41 , 44 , 45 , 46 , 47 , 48 , 51 , 52 , 53 , 54 , 56 , 58 , 59 , 63 , 64 , 73 , 74 , 76 , 77 , 80 , 81 , 82 , 83 , 84 , 85 ]. Comorbidities are common in COPD, in part due to common risk factors (e.g., age, smoking, lifestyle factors) that also increase the risk of other chronic diseases [ 7 ]. Significant associations were observed between exacerbation risk and comorbidities, such as anxiety and depression, cardiovascular disease, diabetes, and respiratory comorbidities. As with prior exacerbations, the strength of the association increased with the number of comorbidities. Some comorbidities that were found to be associated with COPD exacerbations share a common biological mechanism of systemic inflammation, such as cardiovascular disease, diabetes, and depression [ 86 ]. Furthermore, other respiratory comorbidities, including asthma and bronchiectasis, involve inflammation of the airways [ 87 ]. In these patients, optimal management of comorbidities may reduce the risk of future COPD exacerbations (and improve QoL), although further research is needed to confirm the efficacy of this approach to exacerbation prevention. As cardiovascular conditions, including hypertension and coronary heart disease, are the most common comorbidities in people with COPD [ 7 ], reducing cardiovascular risk may be a key goal in reducing the occurrence of exacerbations. For other comorbidities, the mechanism for the association with exacerbation risk may be related to non-biological factors. For example, in depression, it has been suggested that the mechanism may relate to greater sensitivity to symptom changes or more frequent physician visits [ 88 ].

There is now a growing body of evidence reporting the relationship between blood eosinophil count and exacerbation risk [ 8 , 13 , 14 , 20 , 37 , 48 , 52 , 56 , 59 , 60 , 62 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 , 97 , 98 , 99 ]. Data from many large clinical trials (SUNSET [ 89 ], FLAME [ 96 ], WISDOM [ 98 ], IMPACT [ 13 ], TRISTAN [ 99 ], INSPIRE [ 99 ], KRONOS [ 91 ], TRIBUTE [ 48 ], TRILOGY [ 52 ], TRINITY [ 56 ]) have also shown relationships between treatment, eosinophil count, and exacerbation rates. Evidence shows that eosinophil count, along with other effect modifiers (e.g., exacerbation history), can be used to predict reductions in exacerbations with ICS treatment. Identifying patients most likely to respond to ICS should contribute to personalized medicine approaches to treat COPD. One challenge in drawing a strong conclusion from eosinophil counts is the choice of a cut-off value, with a variety of absolute and percentage values observed to be positively associated with the risk of moderate-to-severe exacerbations. The use of absolute counts may be more practical, as these are not affected by variations in other immune cell numbers; however, there is a lack of consensus on this point [ 100 ].

Across the studies examined, associations between sex and the risk of moderate and/or severe exacerbations were variable [ 14 , 16 , 18 , 20 , 21 , 22 , 23 , 24 , 26 , 27 , 28 , 29 , 37 , 40 , 42 , 44 , 45 , 46 , 47 , 48 , 51 , 52 , 56 , 58 , 59 , 63 , 73 , 74 , 77 , 80 , 83 , 84 , 85 ]. A greater number of studies showed an increased risk of exacerbations in females compared with males. In contrast, some studies failed to detect a relationship, suggesting that country-specific or cultural factors may play a role. A majority of the included studies evaluated more male patients than female patients; to further elucidate the relationship between sex and exacerbations, more studies in female patients are warranted. Over half of the studies that assessed the relationship between age and exacerbation risk found an association between increasing age and increasing risk of moderate-to-severe COPD exacerbations [ 14 , 16 , 18 , 20 , 21 , 22 , 23 , 24 , 26 , 27 , 28 , 29 , 33 , 40 , 42 , 44 , 45 , 47 , 51 , 52 , 54 , 56 , 63 , 73 , 74 , 77 , 80 , 83 , 85 ].

Our findings also suggested that patients with low BMI have greater risk of moderate and/or severe exacerbations. The mechanism underlying this increased risk in underweight patients is poorly understood; however, loss of lean body mass in patients with COPD may be related to ongoing systemic inflammation that impacts skeletal muscle mass [ 101 , 102 , 103 ].

A limitation of this SLR, that may have resulted in some studies with valid results being missed, was the exclusion of non-English-language studies and the limitation by date; however, the search strategy was otherwise broad, resulting in the review of a large number of studies. The majority of studies captured in this SLR were from Europe, North America, and Asia. The findings may therefore be less generalizable to patients in other regions, such as Africa or South America. Given that one study reported an association between geographic location within different regions of the US and exacerbations [ 34 ], it is plausible that risk of exacerbations may be impacted by global location. As no formal meta-analysis was planned, the assessments are based on a qualitative synthesis of studies. A majority of the included studies looked at exposures of certain factors (e.g., history of exacerbations) at baseline; however, some of these factors change over time, calling into question whether a more sophisticated statistical analysis should have been conducted in some cases to consider time-varying covariates. Our results can only inform on associations, not causation, and there are likely bidirectional relationships between many factors and exacerbation risk (e.g., health status). Finally, while our review of the literature captured a large number of prognostic factors, other variables such as genetic factors, lung microbiome composition, and changes in therapy over time have not been widely studied to date, but might also influence exacerbation frequency [ 104 ]. Further research is needed to assess the contribution of these factors to exacerbation risk.

This SLR captured publications up to July 2019. However, further studies have since been published that further support the prognostic factors identified here. For example, recent studies have reported an increased risk of exacerbations in patients with a history of exacerbations [ 105 ], comorbidities [ 106 ], poorer lung function (GOLD stage) [ 105 ], higher symptomatic burden [ 107 ], female sex [ 105 ], and lower BMI [ 106 , 108 ].

In summary, the literature assessing risk factors for moderate-to-severe COPD exacerbations shows that there are associations between several demographic and disease characteristics with COPD exacerbations, potentially allowing clinicians to identify patients most at risk of future exacerbations. Exacerbation history, comorbidities, and disease severity or bronchodilator reversibility were the factors most strongly associated with exacerbation risk, and should be considered in future research efforts to develop prognostic tools to estimate the likelihood of exacerbation occurrence. Importantly, many prognostic factors for exacerbations, such as symptom burden, QoL, and comorbidities, are modifiable with optimal pharmacologic and non-pharmacologic treatments or lifestyle modifications. Overall, the evidence suggests that, taken together, predicting and reducing exacerbation risk is an achievable goal in COPD.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

Body mass index

COPD Assessment Test

Chronic obstructive pulmonary disease

Forced expiratory volume in 1 s

Global Initiative for Chronic Obstructive Lung Disease

Inhaled corticosteroid

Modified Medical Research Council

Quality of life

St. George’s Respiratory Questionnaire

World Health Organization. The top 10 causes of death. 2018. https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death . Accessed 22 Jul 2020.

GBD 2019 Diseases and Injuries Collaborators. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet. 2020;396:1204–22.

Article Google Scholar

Hurst JR, Skolnik N, Hansen GJ, Anzueto A, Donaldson GC, Dransfield MT, Varghese P. Understanding the impact of chronic obstructive pulmonary disease exacerbations on patient health and quality of life. Eur J Intern Med. 2020;73:1–6.

Article PubMed Google Scholar

Zhang Y, Morgan RL, Alonso-Coello P, Wiercioch W, Bała MM, Jaeschke RR, Styczeń K, Pardo-Hernandez H, Selva A, Ara Begum H, et al. A systematic review of how patients value COPD outcomes. Eur Respir J. 2018;52:1800222.

Global Initiative for Chronic Obstructive Lung Disease. 2022 GOLD Report. Global strategy for the diagnosis, management and prevention of COPD. 2022. https://goldcopd.org/2022-gold-reports-2/ . Accessed 02 Feb 2022.

Müllerová H, Shukla A, Hawkins A, Quint J. Risk factors for acute exacerbations of COPD in a primary care population: a retrospective observational cohort study. BMJ Open. 2014;4: e006171.

Article PubMed PubMed Central Google Scholar

Westerik JAM, Metting EI, van Boven JFM, Tiersma W, Kocks JWH, Schermer TR. Associations between chronic comorbidity and exacerbation risk in primary care patients with COPD. Respir Res. 2017;18:31.

Vedel-Krogh S, Nielsen SF, Lange P, Vestbo J, Nordestgaard BG. Blood eosinophils and exacerbations in chronic obstructive pulmonary disease. The Copenhagen General Population Study. Am J Respir Crit Care Med. 2016;193:965–74.

Hurst JR, Vestbo J, Anzueto A, Locantore N, Müllerová H, Tal-Singer R, Miller B, Lomas DA, Agusti A, Macnee W, et al. Susceptibility to exacerbation in chronic obstructive pulmonary disease. N Engl J Med. 2010;363:1128–38.

Article CAS PubMed Google Scholar

Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6:e1000097.

Çolak Y, Afzal S, Marott JL, Nordestgaard BG, Vestbo J, Ingebrigtsen TS, Lange P. Prognosis of COPD depends on severity of exacerbation history: a population-based analysis. Respir Med. 2019;155:141–7.

Rothnie KJ, Müllerová H, Smeeth L, Quint JK. Natural history of chronic obstructive pulmonary disease exacerbations in a general practice-based population with chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2018;198:464–71.

Pascoe S, Barnes N, Brusselle G, Compton C, Criner GJ, Dransfield MT, Halpin DMG, Han MK, Hartley B, Lange P, et al. Blood eosinophils and treatment response with triple and dual combination therapy in chronic obstructive pulmonary disease: analysis of the IMPACT trial. Lancet Respir Med. 2019;7:745–56.

Yun JH, Lamb A, Chase R, Singh D, Parker MM, Saferali A, Vestbo J, Tal-Singer R, Castaldi PJ, Silverman EK, et al. Blood eosinophil count thresholds and exacerbations in patients with chronic obstructive pulmonary disease. J Allergy Clin Immunol. 2018;141:2037-2047.e10.

Yoon HY, Park SY, Lee CH, Byun MK, Na JO, Lee JS, Lee WY, Yoo KH, Jung KS, Lee JH. Prediction of first acute exacerbation using COPD subtypes identified by cluster analysis. Int J Chron Obstruct Pulmon Dis. 2019;14:1389–97.

Article CAS PubMed PubMed Central Google Scholar

Yohannes AM, Mulerova H, Lavoie K, Vestbo J, Rennard SI, Wouters E, Hanania NA. The association of depressive symptoms with rates of acute exacerbations in patients with COPD: results from a 3-year longitudinal follow-up of the ECLIPSE cohort. J Am Med Dir Assoc. 2017;18:955-959.e6.

Tsiligianni I, Metting E, van der Molen T, Chavannes N, Kocks J. Morning and night symptoms in primary care COPD patients: a cross-sectional and longitudinal study. An UNLOCK study from the IPCRG. NPJ Prim Care Respir Med. 2016;26:16040.

Jo YS, Yoon HI, Kim DK, Yoo CG, Lee CH. Comparison of COPD Assessment Test and Clinical COPD Questionnaire to predict the risk of exacerbation. Int J Chron Obstruct Pulmon Dis. 2018;13:101–7.

Marçôa R, Rodrigues DM, Dias M, Ladeira I, Vaz AP, Lima R, Guimarães M. Classification of Chronic Obstructive Pulmonary Disease (COPD) according to the new Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2017: comparison with GOLD 2011. COPD. 2018;15:21–6.

Han MK, Quibrera PM, Carretta EE, Barr RG, Bleecker ER, Bowler RP, Cooper CB, Comellas A, Couper DJ, Curtis JL, et al. Frequency of exacerbations in patients with chronic obstructive pulmonary disease: an analysis of the SPIROMICS cohort. Lancet Respir Med. 2017;5:619–26.

Yii ACA, Loh CH, Tiew PY, Xu H, Taha AAM, Koh J, Tan J, Lapperre TS, Anzueto A, Tee AKH. A clinical prediction model for hospitalized COPD exacerbations based on “treatable traits.” Int J Chron Obstruct Pulmon Dis. 2019;14:719–28.

McGarvey L, Lee AJ, Roberts J, Gruffydd-Jones K, McKnight E, Haughney J. Characterisation of the frequent exacerbator phenotype in COPD patients in a large UK primary care population. Respir Med. 2015;109:228–37.

Margüello MS, Garrastazu R, Ruiz-Nuñez M, Helguera JM, Arenal S, Bonnardeux C, León C, Miravitlles M, García-Rivero JL. Independent effect of prior exacerbation frequency and disease severity on the risk of future exacerbations of COPD: a retrospective cohort study. NPJ Prim Care Respir Med. 2016;26:16046.

Engel B, Schindler C, Leuppi JD, Rutishauser J. Predictors of re-exacerbation after an index exacerbation of chronic obstructive pulmonary disease in the REDUCE randomised clinical trial. Swiss Med Wkly. 2017;147: w14439.

PubMed Google Scholar

Benson VS, Müllerová H, Vestbo J, Wedzicha JA, Patel A, Hurst JR. Evaluation of COPD longitudinally to identify predictive surrogate endpoints (ECLIPSE) investigators. Associations between gastro-oesophageal reflux, its management and exacerbations of chronic obstructive pulmonary disease. Respir Med. 2015;109:1147–54.

Santibáñez M, Garrastazu R, Ruiz-Nuñez M, Helguera JM, Arenal S, Bonnardeux C, León C, García-Rivero JL. Predictors of hospitalized exacerbations and mortality in chronic obstructive pulmonary disease. PLoS ONE. 2016;11: e0158727.

Article PubMed PubMed Central CAS Google Scholar

Jo YS, Kim YH, Lee JY, Kim K, Jung KS, Yoo KH, Rhee CK. Impact of BMI on exacerbation and medical care expenses in subjects with mild to moderate airflow obstruction. Int J Chron Obstruct Pulmon Dis. 2018;13:2261–9.

Alexopoulos EC, Malli F, Mitsiki E, Bania EG, Varounis C, Gourgoulianis KI. Frequency and risk factors of COPD exacerbations and hospitalizations: a nationwide study in Greece (Greek Obstructive Lung Disease Epidemiology and health ecoNomics: GOLDEN study). Int J Chron Obstruct Pulmon Dis. 2015;10:2665–74.

PubMed PubMed Central Google Scholar

Liu D, Peng SH, Zhang J, Bai SH, Liu HX, Qu JM. Prediction of short term re-exacerbation in patients with acute exacerbation of chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis. 2015;10:1265–73.

Müllerová H, Maselli DJ, Locantore N, Vestbo J, Hurst JR, Wedzicha JA, Bakke P, Agusti A, Anzueto A. Hospitalized exacerbations of COPD: risk factors and outcomes in the ECLIPSE cohort. Chest. 2015;147:999–1007.

de Miguel-Díez J, Hernández-Vázquez J, López-de-Andrés A, Álvaro-Meca A, Hernández-Barrera V, Jiménez-García R. Analysis of environmental risk factors for chronic obstructive pulmonary disease exacerbation: a case-crossover study (2004–2013). PLoS ONE. 2019;14: e0217143.

Krachunov II, Kyuchukov NH, Ivanova ZI, Yanev NA, Hristova PA, Borisova ED, Popova TP, Pavlov PS, Nikolova PT, Ivanov YY. Impact of air pollution and outdoor temperature on the rate of chronic obstructive pulmonary disease exacerbations. Folia Med (Plovdiv). 2017;59:423–9.

Article CAS Google Scholar

Baumeler L, Papakonstantinou E, Milenkovic B, Lacoma A, Louis R, Aerts JG, Welte T, Kostikas K, Blasi F, Boersma W, et al. Therapy with proton-pump inhibitors for gastroesophageal reflux disease does not reduce the risk for severe exacerbations in COPD. Respirology. 2016;21:883–90.

Annavarapu S, Goldfarb S, Gelb M, Moretz C, Renda A, Kaila S. Development and validation of a predictive model to identify patients at risk of severe COPD exacerbations using administrative claims data. Int J Chron Obstruct Pulmon Dis. 2018;13:2121–30.

Crisafulli E, Torres A, Huerta A, Méndez R, Guerrero M, Martinez R, Liapikou A, Soler N, Sethi S, Menéndez R. C-reactive protein at discharge, diabetes mellitus and ≥1 hospitalization during previous year predict early readmission in patients with acute exacerbation of chronic obstructive pulmonary disease. COPD. 2015;12:311–20.

Bollmeier SG, Hartmann AP. Management of chronic obstructive pulmonary disease: a review focusing on exacerbations. Am J Health Syst Pharm. 2020;77:259–68.

Bafadhel M, Peterson S, De Blas MA, Calverley PM, Rennard SI, Richter K, Fagerås M. Predictors of exacerbation risk and response to budesonide in patients with chronic obstructive pulmonary disease: a post-hoc analysis of three randomised trials. Lancet Respir Med. 2018;6:117–26.

Calverley PM, Anzueto AR, Dusser D, Mueller A, Metzdorf N, Wise RA. Treatment of exacerbations as a predictor of subsequent outcomes in patients with COPD. Int J Chron Obstruct Pulmon Dis. 2018;13:1297–308.

Calverley PM, Tetzlaff K, Dusser D, Wise RA, Mueller A, Metzdorf N, Anzueto A. Determinants of exacerbation risk in patients with COPD in the TIOSPIR study. Int J Chron Obstruct Pulmon Dis. 2017;12:3391–405.

Eklöf J, Sørensen R, Ingebrigtsen TS, Sivapalan P, Achir I, Boel JB, Bangsborg J, Ostergaard C, Dessau RB, Jensen US, et al. Pseudomonas aeruginosa and risk of death and exacerbations in patients with chronic obstructive pulmonary disease: an observational cohort study of 22 053 patients. Clin Microbiol Infect. 2020;26:227–34.

Estirado C, Ceccato A, Guerrero M, Huerta A, Cilloniz C, Vilaró O, Gabarrús A, Gea J, Crisafulli E, Soler N, Torres A. Microorganisms resistant to conventional antimicrobials in acute exacerbations of chronic obstructive pulmonary disease. Respir Res. 2018;19:119.

Fuhrman C, Moutengou E, Roche N, Delmas MC. Prognostic factors after hospitalization for COPD exacerbation. Rev Mal Respir. 2017;34:1–18.

Krachunov I, Kyuchukov N, Ivanova Z, Yanev NA, Hristova PA, Pavlov P, Glogovska P, Popova T, Ivanov YY. Stability of frequent exacerbator phenotype in patients with chronic obstructive pulmonary disease. Folia Med (Plovdiv). 2018;60:536–45.

Make BJ, Eriksson G, Calverley PM, Jenkins CR, Postma DS, Peterson S, Östlund O, Anzueto A. A score to predict short-term risk of COPD exacerbations (SCOPEX). Int J Chron Obstruct Pulmon Dis. 2015;10:201–9.

Montserrat-Capdevila J, Godoy P, Marsal JR, Barbé F. Predictive model of hospital admission for COPD exacerbation. Respir Care. 2015;60:1288–94.

Montserrat-Capdevila J, Godoy P, Marsal JR, Barbé F, Galván L. Risk factors for exacerbation in chronic obstructive pulmonary disease: a prospective study. Int J Tuberc Lung Dis. 2016;20:389–95.

Orea-Tejeda A, Navarrete-Peñaloza AG, Verdeja-Vendrell L, Jiménez-Cepeda A, González-Islas DG, Hernández-Zenteno R, Keirns-Davis C, Sánchez-Santillán R, Velazquez-Montero A, Puentes RG. Right heart failure as a risk factor for severe exacerbation in patients with chronic obstructive pulmonary disease: prospective cohort study. Clin Respir J. 2018;12:2635–41.

Papi A, Vestbo J, Fabbri L, Corradi M, Prunier H, Cohuet G, Guasconi A, Montagna I, Vezzoli S, Petruzzelli S, et al. Extrafine inhaled triple therapy versus dual bronchodilator therapy in chronic obstructive pulmonary disease (TRIBUTE): a double-blind, parallel group, randomised controlled trial. Lancet. 2018;391:1076–84.

Lipson DA, Barnhart F, Brealey N, Brooks J, Criner GJ, Day NC, Dransfield MT, Halpin DMG, Han MK, Jones CE, et al. Once-daily single-inhaler triple versus dual therapy in patients with COPD. N Engl J Med. 2018;378:1671–80.

Pasquale MK, Xu Y, Baker CL, Zou KH, Teeter JG, Renda AM, Davis CC, Lee TC, Bobula J. COPD exacerbations associated with the modified Medical Research Council scale and COPD assessment test among Humana Medicare members. Int J Chron Obstruct Pulmon Dis. 2016;11:111–21.

Schuler M, Wittmann M, Faller H, Schultz K. Including changes in dyspnea after inpatient rehabilitation improves prediction models of exacerbations in COPD. Respir Med. 2018;141:87–93.

Singh D, Papi A, Corradi M, Pavlišová I, Montagna I, Francisco C, Cohuet G, Vezzoli S, Scuri M, Vestbo J. Single inhaler triple therapy versus inhaled corticosteroid plus long-acting β 2 -agonist therapy for chronic obstructive pulmonary disease (TRILOGY): a double-blind, parallel group, randomised controlled trial. Lancet. 2016;388:963–73.

Søgaard M, Madsen M, Løkke A, Hilberg O, Sørensen HT, Thomsen RW. Incidence and outcomes of patients hospitalized with COPD exacerbation with and without pneumonia. Int J Chron Obstruct Pulmon Dis. 2016;11:455–65.

Stanford RH, Nag A, Mapel DW, Lee TA, Rosiello R, Schatz M, Vekeman F, Gauthier-Loiselle M, Merrigan JFP, Duh MS. Claims-based risk model for first severe COPD exacerbation. Am J Manag Care. 2018;24:e45–53.

Stanford RH, Lau MS, Li Y, Stemkowski S. External validation of a COPD risk measure in a commercial and medicare population: the COPD treatment ratio. J Manag Care Spec Pharm. 2019;25:58–69.

Vestbo J, Papi A, Corradi M, Blazhko V, Montagna I, Francisco C, Cohuet G, Vezzoli S, Scuri M, Singh D. Single inhaler extrafine triple therapy versus long-acting muscarinic antagonist therapy for chronic obstructive pulmonary disease (TRINITY): a double-blind, parallel group, randomised controlled trial. Lancet. 2017;389:1919–29.

Wei X, Ma Z, Yu N, Ren J, Jin C, Mi J, Shi M, Tian L, Gao Y, Guo Y. Risk factors predict frequent hospitalization in patients with acute exacerbation of COPD. Int J Chron Obstruct Pulmon Dis. 2018;13:121–9.

Whalley D, Svedsater H, Doward L, Crawford R, Leather D, Lay-Flurrie J, Bosanquet N. Follow-up interviews from The Salford Lung Study (COPD) and analyses per treatment and exacerbations. NPJ Prim Care Respir Med. 2019;29:20.

Zeiger RS, Tran TN, Butler RK, Schatz M, Li Q, Khatry DB, Martin U, Kawatkar AA, Chen W. Relationship of blood eosinophil count to exacerbations in chronic obstructive pulmonary disease. J Allergy Clin Immunol Pract. 2018;6:944-954.e945.

Vogelmeier CF, Kostikas K, Fang J, Tian H, Jones B, Morgan CL, Fogel R, Gutzwiller FS, Cao H. Evaluation of exacerbations and blood eosinophils in UK and US COPD populations. Respir Res. 2019;20:178.

Celli BR, Fabbri LM, Aaron SD, Agusti A, Brook R, Criner GJ, Franssen FME, Humbert M, Hurst JR, O’Donnell D, et al. An updated definition and severity classification of COPD exacerbations: the Rome proposal. Am J Respir Crit Care Med. 2021;204:1251–8.

Adir Y, Hakrush O, Shteinberg M, Schneer S, Agusti A. Circulating eosinophil levels do not predict severe exacerbations in COPD: a retrospective study. ERJ Open Research. 2018;4:00022–2018.

Bartels W, Adamson S, Leung L, Sin DD, van Eeden SF. Emergency department management of acute exacerbations of chronic obstructive pulmonary disease: factors predicting readmission. Int J Chron Obstruct Pulmon Dis. 2018;13:1647–54.

Kim V, Zhao H, Regan E, Han MK, Make BJ, Crapo JD, Jones PW, Curtis JL, Silverman EK, Criner GJ, COPDGene Investigators. The St. George’s Respiratory Questionnaire definition of chronic bronchitis may be a better predictor of COPD exacerbations compared with the classic definition. Chest. 2019;156:685–95.

Abston E, Comellas A, Reed RM, Kim V, Wise RA, Brower R, Fortis S, Beichel R, Bhatt S, Zabner J, et al. Higher BMI is associated with higher expiratory airflow normalised for lung volume (FEF25-75/FVC) in COPD. BMJ Open Respir Res. 2017;4: e000231.

Emura I, Usuda H, Satou K. Appearance of large scavenger receptor A-positive cells in peripheral blood: a potential risk factor for severe exacerbation of chronic obstructive pulmonary disease. Pathol Int. 2019;69:187–92.

Erol S, Sen E, Gizem Kilic Y, Yousif A, Akkoca Yildiz O, Acican T, Saryal S. Does the 2017 revision improve the ability of GOLD to predict risk of future moderate and severe exacerbation? Clin Respir J. 2018;12:2354–60.

Han MZ, Hsiue TR, Tsai SH, Huang TH, Liao XM, Chen CZ. Validation of the GOLD 2017 and new 16 subgroups (1A–4D) classifications in predicting exacerbation and mortality in COPD patients. Int J Chron Obstruct Pulmon Dis. 2018;13:3425–33.

Huang TH, Hsiue TR, Lin SH, Liao XM, Su PL, Chen CZ. Comparison of different staging methods for COPD in predicting outcomes. Eur Resp J. 2018;51:1700577.

Jung YH, Lee DY, Kim DW, Park SS, Heo EY, Chung HS, Kim DK. Clinical significance of laryngopharyngeal reflux in patients with chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis. 2015;10:1343–51.

CAS PubMed PubMed Central Google Scholar

Kim J, Kim WJ, Lee CH, Lee SH, Lee MG, Shin KC, Yoo KH, Lee JH, Lim SY, Na JO, et al. Which bronchodilator reversibility criteria can predict severe acute exacerbation in chronic obstructive pulmonary disease patients? Respir Res. 2017;18:107.

Kobayashi S, Hanagama M, Ishida M, Sato H, Ono M, Yamanda S, Yamada M, Aizawa H, Yanai M. Clinical characteristics and outcomes in Japanese patients with COPD according to the 2017 GOLD classification: the Ishinomaki COPD Network Registry. Int J Chron Obstruct Pulmon Dis. 2018;13:3947–55.

Lee SH, Lee JH, Yoon HI, Park HY, Kim TH, Yoo KH, Oh YM, Jung KS, Lee SD, Lee SW. Change in inhaled corticosteroid treatment and COPD exacerbations: an analysis of real-world data from the KOLD/KOCOSS cohorts. Respir Res. 2019;20:62.

Pavlovic R, Stefanovic S, Lazic Z, Jankovic S. Factors associated with the rate of COPD exacerbations that require hospitalization. Turk J Med Sci. 2017;47:134–41.

Song JH, Lee CH, Um SJ, Park YB, Yoo KH, Jung KS, Lee SD, Oh YM, Lee JH, Kim EK, Kim DK. Clinical impacts of the classification by 2017 GOLD guideline comparing previous ones on outcomes of COPD in real-world cohorts. Int J Chron Obstruct Pulmon Dis. 2018;13:3473–84.

Sundh J, Johansson G, Larsson K, Lindén A, Löfdahl CG, Sandström T, Janson C. The phenotype of concurrent chronic bronchitis and frequent exacerbations in patients with severe COPD attending Swedish secondary care units. Int J Chron Obstruct Pulmon Dis. 2015;10:2327–34.

Urwyler P, Hussein NA, Bridevaux PO, Chhajed PN, Geiser T, Grendelmeier P, Zellweger LJ, Kohler M, Maier S, Miedinger D, et al. Predictive factors for exacerbation and reexacerbation in chronic obstructive pulmonary disease: an extension of the Cox model to analyze data from the Swiss COPD cohort. Multidiscip Respir Med. 2019;14:7.

Wallace AE, Kaila S, Bayer V, Shaikh A, Shinde MU, Willey VJ, Napier MB, Singer JR. Health care resource utilization and exacerbation rates in patients with COPD stratified by disease severity in a commercially insured population. J Manag Care Spec Pharm. 2019;25:205–17.

Halpin DMG, Decramer M, Celli BR, Mueller A, Metzdorf N, Tashkin DP. Effect of a single exacerbation on decline in lung function in COPD. Respir Med. 2017;128:85–91.

Bade BC, DeRycke EC, Ramsey C, Skanderson M, Crothers K, Haskell S, Bean-Mayberry B, Brandt C, Bastian LA, Akgün KM. Sex differences in veterans admitted to the hospital for chronic obstructive pulmonary disease exacerbation. Ann Am Thorac Soc. 2019;16:707–14.

Iyer AS, Bhatt SP, Dransfield M, Kinney G, Holm K, Wamboldt FS, Hanania N, Martinez C, Regan E, Foreman MG, et al. Psychological distress prospectively predicts severe exacerbations in smokers with and without airflow limitation—a longitudinal follow-up study of the COPDGene cohort [abstract]. Am J Respir Crit Care Med. 2017. https://doi.org/10.1164/ajrccm-conference.2017.195.1_MeetingAbstracts.A4709 .

Diamond M, Zhao H, Armstrong HF, Morrison M, Bailey KL, Carretta EE, Criner GJ, Han MK, Bleeker E, Cooper CB, et al. Anxiety and depression, either alone or in combination, are associated with respiratory exacerbations in smokers with and without COPD [abstract]. Am J Respir Crit Care Med. 2017;195:1615–31.

Google Scholar

Lau CS, Siracuse BL, Chamberlain RS. Readmission After COPD Exacerbation Scale: determining 30-day readmission risk for COPD patients. Int J Chron Obstruct Pulmon Dis. 2017;12:1891–902.

Pikoula M, Quint JK, Nissen F, Hemingway H, Smeeth L, Denaxas S. Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records. BMC Med Inform Decis Mak. 2019;19:86.

Wei YF, Tsai YH, Wang CC, Kuo PH. Impact of overweight and obesity on acute exacerbations of COPD—subgroup analysis of the Taiwan Obstructive Lung Disease cohort. Int J Chron Obstruct Pulmon Dis. 2017;12:2723–9.

Barnes PJ, Celli BR. Systemic manifestations and comorbidities of COPD. Eur Resp J. 2009;33:1165–85.

Polverino E, Dimakou K, Hurst J, Martinez-Garcia MA, Miravitlles M, Paggiaro P, Shteinberg M, Aliberti S, Chalmers JD. The overlap between bronchiectasis and chronic airway diseases: state of the art and future directions. Eur Respir J. 2018;52:1800328.

Xu W, Collet JP, Shapiro S, Lin Y, Yang T, Platt RW, Wang C, Bourbeau J. Independent effect of depression and anxiety on chronic obstructive pulmonary disease exacerbations and hospitalizations. Am J Respir Crit Care Med. 2008;178:913–20.

Chapman KR, Hurst JR, Frent SM, Larbig M, Fogel R, Guerin T, Banerji D, Patalano F, Goyal P, Pfister P, et al. Long-term triple therapy de-escalation to indacaterol/glycopyrronium in patients with chronic obstructive pulmonary disease (SUNSET): a randomized, double-blind, triple-dummy clinical trial. Am J Respir Crit Care Med. 2018;198:329–39.

Couillard S, Larivée P, Courteau J, Vanasse A. Eosinophils in COPD exacerbations are associated with increased readmissions. Chest. 2017;151:366–73.

Ferguson GT, Rabe KF, Martinez FJ, Fabbri LM, Wang C, Ichinose M, Bourne E, Ballal S, Darken P, DeAngelis K, et al. Triple therapy with budesonide/glycopyrrolate/formoterol fumarate with co-suspension delivery technology versus dual therapies in chronic obstructive pulmonary disease (KRONOS): a double-blind, parallel-group, multicentre, phase 3 randomised controlled trial. Lancet Respir Med. 2018;6:747–58.

Ko FWS, Chan KP, Ngai J, Ng SS, Yip WH, Ip A, Chan TO, Hui DSC. Blood eosinophil count as a predictor of hospital length of stay in COPD exacerbations. Respirology. 2019;25:259–66.

MacDonald MI, Osadnik CR, Bulfin L, Hamza K, Leong P, Wong A, King PT, Bardin PG. Low and high blood eosinophil counts as biomarkers in hospitalized acute exacerbations of COPD. Chest. 2019;156:92–100.

Müllerová H, Hahn B, Simard EP, Mu G, Hatipoğlu U. Exacerbations and health care resource use among patients with COPD in relation to blood eosinophil counts. Int J Chron Obstruct Pulmon Dis. 2019;14:683–92.

Bafadhel M, Greening NJ, Harvey-Dunstan TC, Williams JEA, Morgan MD, Brightling CE, Hussain SF, Pavord ID, Singh SJ, Steiner MC. Blood eosinophils and outcomes in severe hospitalised exacerbations of COPD. Chest. 2016;150:320–8.

Roche N, Chapman KR, Vogelmeier CF, Herth FJF, Thach C, Fogel R, Olsson P, Patalano F, Banerji D, Wedzicha JA. Blood eosinophils and response to maintenance chronic obstructive pulmonary disease treatment. Data from the FLAME trial. Am J Respir Crit Care Med. 2017;195:1189–97.

Vestbo J, Vogelmeier CF, Small M, Siddall J, Fogel R, Kostikas K. Inhaled corticosteroid use by exacerbations and eosinophils: a real-world COPD population. Int J Chron Obstruct Pulmon Dis. 2019;14:853–61.

Watz H, Tetzlaff K, Wouters EFM, Kirsten A, Magnussen H, Rodriguez-Roisin R, Vogelmeier C, Fabbri LM, Chanez P, Dahl R, et al. Blood eosinophil count and exacerbations in severe chronic obstructive pulmonary disease after withdrawal of inhaled corticosteroids: a post-hoc analysis of the WISDOM trial. Lancet Respir Med. 2016;4:390–8.

Pavord ID, Lettis S, Locantore N, Pascoe S, Jones PW, Wedzicha JA, Barnes NC. Blood eosinophils and inhaled corticosteroid/long-acting beta-2 agonist efficacy in COPD. Thorax. 2016;71:118–25.

Singh D. Predicting corticosteroid response in chronic obstructive pulmonary disease. Blood eosinophils gain momentum. Am J Respir Crit Care Med. 2017;196:1098–100.

Vestbo J, Prescott E, Almdal T, Dahl M, Nordestgaard BG, Andersen T, Sørensen TIA, Lange P. Body mass, fat-free body mass, and prognosis in patients with chronic obstructive pulmonary disease from a random population sample: findings from the Copenhagen City Heart Study. Am J Respir Crit Care Med. 2006;173:79–83.

Agustí AGN, Noguera A, Sauleda J, Sala E, Pons J, Busquets X. Systemic effects of chronic obstructive pulmonary disease. Eur Respir J. 2003;21:347–60.

Agustí AGN, Sauleda J, Miralles C, Gomez C, Togores B, Sala E, Batle S, Busquets X. Skeletal muscle apoptosis and weight loss in chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2002;166:485–9.

Labaki WW, Martinez FJ. Time to understand the infrequency of the frequent exacerbator phenotype in COPD. Chest. 2018;153:1087–8.

Hartley BF, Barnes NC, Lettis S, Compton CH, Papi A, Jones P. Risk factors for exacerbations and pneumonia in patients with chronic obstructive pulmonary disease: a pooled analysis. Respir Res. 2020;21:5.

Kim Y, Kim YJ, Kang YM, Cho WK. Exploring the impact of number and type of comorbidities on the risk of severe COPD exacerbations in Korean Population: a Nationwide Cohort Study. BMC Pulm Med. 2021;21:151.

Mackay AJ, Kostikas K, Roche N, Frent SM, Olsson P, Pfister P, Gupta P, Patalano F, Banerji D, Wedzicha JA. Impact of baseline symptoms and health status on COPD exacerbations in the FLAME study. Respir Res. 2020;21:93.

Smulders L, van der Aalst A, Neuhaus EDET, Polman S, Franssen FME, van Vliet M, de Kruif MD. Decreased risk of COPD exacerbations in obese patients. COPD. 2020;17:485–91.

Battisti WP, Wager E, Baltzer L, Bridges D, Cairns A, Carswell CI, Citrome L, Gurr JA, Mooney LA, Moore BJ, et al. Good publication practice for communicating company-sponsored medical research: GPP3. Ann Intern Med. 2015;163:461–4.

Putcha N, Barr RG, Han M, Woodruff PG, Bleecker ER, Kanner RE, Martinez FJ, Tashkin DP, Rennard SI, Breysse P, et al. Understanding the impact of passive smoke exposure on outcomes in COPD [abstract]. Am J Respir Crit Care Med. 2015;191:411–20.

Wu Z, Yang D, Ge Z, Yan M, Wu N, Liu Y. Body mass index of patients with chronic obstructive pulmonary disease is associated with pulmonary function and exacerbations: a retrospective real world research. J Thorac Dis. 2018;10:5086–99.

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Acknowledgements

Medical writing support, under the direction of the authors, was provided by Julia King, PhD, and Sarah Piggott, MChem, CMC Connect, McCann Health Medical Communications, funded by AstraZeneca in accordance with Good Publication Practice (GPP3) guidelines [ 109 ].

This study was supported by AstraZeneca.

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John R. Hurst

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Barinder Singh, Gagandeep Kaur & Mohd Kashif Siddiqui

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Sakshi Sharma

Formerly of AstraZeneca, Cambridge, UK

Enrico de Nigris

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The authors have made the following declaration about their contributions. JRH and MKH made substantial contributions to the interpretation of data; BS, SS, GK, and MKS made substantial contributions to the acquisition, analysis, and interpretation of data; EdN and UH made substantial contributions to the conception and design of the work and the interpretation of data. All authors contributed to drafting or critically revising the article, have approved the submitted version, and agree to be personally accountable for their own contributions and to ensure that questions related to the accuracy or integrity of any part of the work, even ones in which the author was not personally involved, are appropriately investigated, resolved, and the resolution documented in the literature. All authors read and approved the final manuscript.

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Correspondence to John R. Hurst .

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JRH reports consulting fees from AstraZeneca; speaker fees from AstraZeneca, Chiesi, Pfizer, and Takeda; and travel support from GlaxoSmithKline and AstraZeneca. MKH reports assistance with conduction of this research and publication from AstraZeneca; personal fees from Aerogen, Altesa Biopharma, AstraZeneca, Boehringer Ingelheim, Chiesi, Cipla, DevPro, GlaxoSmithKline, Integrity, Medscape, Merck, Mylan, NACE, Novartis, Polarean, Pulmonx, Regeneron, Sanofi, Teva, Verona, United Therapeutics, and UpToDate; either in kind research support or funds paid to the institution from the American Lung Association, AstraZeneca, Biodesix, Boehringer Ingelheim, the COPD Foundation, Gala Therapeutics, the NIH, Novartis, Nuvaira, Sanofi, and Sunovion; participation in Data Safety Monitoring Boards for Novartis and Medtronic with funds paid to the institution; and stock options from Altesa Biopharma and Meissa Vaccines. BS, GK, and MKS are former employees of Parexel International. SS is an employee of Parexel International, which was funded by AstraZeneca to conduct this analysis. EdN is a former employee of AstraZeneca and previously held stock and/or stock options in the company. UH is an employee of AstraZeneca and holds stock and/or stock options in the company.

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Supplementary Information

Additional file1: table s1..

Search strategies. Table S2. List of included studies with linked publications. Table S3. Study characteristics across the 76 included studies. Table S4. Clinical characteristics of the patients assessed across the included studies.

Additional file 2: Fig. S1.

Sex (male vs female) as a risk factor for moderate-to-severe exacerbations. Fig. S2. Sex (male vs female) as a risk factor for severe exacerbations.

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Hurst, J.R., Han, M.K., Singh, B. et al. Prognostic risk factors for moderate-to-severe exacerbations in patients with chronic obstructive pulmonary disease: a systematic literature review. Respir Res 23 , 213 (2022). https://doi.org/10.1186/s12931-022-02123-5

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