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Evidence Synthesis: Question Frameworks

Research Question Formulation with Question Frameworks

A well-developed question informs the development and methodology of your research project. Your research question also is a starting point for your your search terms, eligibility criteria, etc.

There are a number of frameworks available to help develop your research question. A few common options are explained below.

Question Types with Frameworks

Question Types1,2 Mnemonic Framework
Clinical questions, effectiveness, intervention, quantitative PICO Population, Intervention, Comparison, Outcomes
Etiology, risk, qualitative or quantitative  PEO Population, Exposure, Outcome 
Qualitative, mixed methods, meaning SPIDER Sample, Phenomenon of Interest, Design, Evaluation, Research type 
Prevalence, incidence CoCoPop Condition, Context, Population
Scoping  PCC Population, Concept, Context 

Common Question Frameworks

The PICO framework is the most common question model for quantitative, clinical research questions.3

PICO Element Definition Scenario
P  (Population/ Problem) How would you describe your population of interest? What are the key characteristics of the patient (diagnosis, condition, age, sex, etc.)? women, chronic migraines
(Intervention) What is the intervention (treatment, diagnostic test, procedure) you are considering? chiropractic manipulation
C  (Comparison) What other treatment, drug, placebo, test, are you comparing your intervention to? No treatment? Standard of care?  Botox injections
O  (Outcome) What are you trying to measure, improve or affect? number of migraines, fewer side effects

Question Formulation

Example: In adult women with chronic migraines, will chiropractic manipulation compared with botulinum toxin injections lead to fewer migraines and side effects? 

Question Formula: In [population] will [intervention] compared to [comparison/control group] result in [outcome]?

The PEO framework is useful for qualitative research questions as well as risk or etiology research questions.4

PEO Element Definition Example
P  (Population / Problem) How would you describe your population of interest? type 2 diabetes
E  (Exposure) What is the issue of interest? What is the exposure? Mediterranean diet
O  (Outcome) What outcomes are anticipated? reversal 

Question Formulation

Example: For individuals with type 2 diabetes, will the Mediterranean diet result in reversal of type 2 diabetes?

Question Formula: In [population], will [exposure] result in [outcome]?

This framework was developed to help locate qualitative or mixed method research for questions that investigate the experiences of a sample population.5

SPIDER Element Definition Example
S  (Sample) What is the specific group being studied? young parents
PI  (Phenomenon of Interest) What are the reasons for decisions or behaviors? antenatal, birth class
D  (Design) How has the research been collected (interview, survey, intervention, etc.)? What form of research is being used?  questionnaire, focus group
E  (Evaluation) What are the outcome measures? experiences, feelings
R  (Research type) What type of research is needed (qualitative, mixed methods, etc.)? qualitative, mixed method

Question Formulation

Example: What the experiences of young parents' of attending antenatal education? 

Question Formula: SPIDER questions usually begin with "What are the experiences of..." For SPIDER, it is ok that that design and research type do not effect question formulation. These elements will help guide eligibility criteria. 

The CoCoPop framework is useful for prevalence research questions.6

CoCoPop Element Definition  Example
Co  (Condition) What is the condition/problem/symptom being studied? asthma 
Co  (Context) What is the context? What qualifiers or factors are key for understanding? When or where? rural environment
Pop  (Population) What is the population being examined?  United States

Question Formulation

Example: What is the prevalence of asthma in rural areas of the United States?

Question Formula: What is the the prevalence/incidence of [Condition] in [Context] of [Population]? 

The PCC framework was developed by the Joanna Briggs Institute (JBI) to frame scoping review questions. 

PCC Element Definition Example
P  (Population / Participants) What are the important characteristics of the participants? What are the key characteristics of the population (condition, age, sex, education level, etc.)? type 2 diabetes
C  (Concept) What core concept is being examined? barriers to care
(Context) What qualifiers or factors are key for understanding? Spanish-speaking

Question Formulation

Example: What are barriers to care for Spanish-speakers with type 2 diabetes?

Additional Frameworks

If the provided frameworks do not work for your research project, the one of the following may fit:

  • PIRD (Population, Index text, Reference test, Diagnosis of interest)
  • PIE (Population, Intervention, Effect/Outcome)
  • FINER (Feasibility, Interesting, Novel, Ethical, Relevant)
  • SPICE (Setting, Perspective, Intervention, Comparison, Evaluation) 
  • ECLIPSE (Expectation, Client group, Location, Impact, Professional, Service) 

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Reading List

  1. Munn Z, Stern C, Aromataris E, Lockwood C, Jordan Z. What kind of systematic review should I conduct? A proposed typology and guidance for systematic reviewers in the medical and health sciences. BMC Med Res Methodol. 2018;18(1):5. doi:10.1186/s12874-017-0468-4
  2. Hosseini M-S, Jahanshahlou F, Akbarzadeh MA, Zarei M, Vaez-Gharamaleki Y. Formulating research questions for evidence-based studies. J Med Surg Public Health. 2024;2:100046. doi:10.1016/j.glmedi.2023.100046
  3. Stern C, Jordan Z, McArthur A. Developing the review question and inclusion criteria. Am J Nurs. 2014;114(4):53-56. doi:10.1097/01.NAJ.0000445689.67800.86
  4. Moola S, Munn Z, Sears K, et al. Conducting systematic reviews of association (etiology): The Joanna Briggs Institute's approach. Int J Evid Based Healthc. 2015;13(3):163-169. doi:10.1097/XEB.0000000000000064
  5. Cooke A, Smith D, Booth A. Beyond PICO: the SPIDER tool for qualitative evidence synthesis. Qual Health Res. 2012;22(10):1435-1443. doi:10.1177/1049732312452938
  6. Munn Z, Moola S, Lisy K, Riitano D, Tufanaru C. Methodological guidance for systematic reviews of observational epidemiological studies reporting prevalence and cumulative incidence data. Int J Evid Based Healthc. 2015;13(3):147-153. doi:10.1097/XEB.000000000000005

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