Part 2: Planning and Protocol Development
This module equips trainees with the knowledge and skills required to plan a systematic review systematically and transparently. It walks through formulating a focused, answerable review question using standard frameworks (PICO, PECO, PICo, SPIDER), defining eligibility criteria, and validating the question through scoping searches. Trainees learn to develop a complete systematic review protocol, register it on internationally recognized registries (PROSPERO, OSF, Cochrane), and manage protocol amendments transparently. The module further develops the trainees' ability to design comprehensive search strategies, translate them across multiple databases, document searches in accordance with PRISMA-S, and design and pilot data extraction forms. It also covers reference management, deduplication, and quality control in the study import process.
Planning and Protocol Development
Module Description
This module equips trainees with the knowledge and skills required to plan a systematic review systematically and transparently. It walks through formulating a focused, answerable review question using standard frameworks (PICO, PECO, PICo, SPIDER), defining eligibility criteria, and validating the question through scoping searches. Trainees learn to develop a complete systematic review protocol, register it on internationally recognized registries (PROSPERO, OSF, Cochrane), and manage protocol amendments transparently. The module further develops the trainees' ability to design comprehensive search strategies, translate them across multiple databases, document searches in accordance with PRISMA-S, and design and pilot data extraction forms. It also covers reference management, deduplication, and quality control in the study import process.
Module Goal
The goal of this module is to enable trainees to plan and prepare a well-documented, methodologically rigorous systematic review through an appropriate review question, a registered protocol, a comprehensive search strategy, and a pilot-tested data extraction form.
Module Learning Objectives
By the end of this module, trainees will be able to:
- Develop a focused, answerable review question using appropriate frameworks.
- Define and justify inclusion and exclusion criteria.
- Conduct a scoping search to validate the review question.
- Develop a complete systematic review protocol.
- Register the protocol on PROSPERO or OSF and version-control amendments.
- Construct a comprehensive search strategy and translate it across at least four databases.
- Document the search in accordance with PRISMA-S.
- Import records from multiple sources and perform systematic deduplication.
- Design a study-specific data extraction form and pilot it on five studies.
Module Outline
- Formulating the Review Question — from uncertainty to answerable question; PICO, PECO, PICo, SPIDER; defining eligibility criteria; scoping searches.
- Developing the Protocol — why a protocol is essential; anatomy of a protocol; registration; protocol amendments.
- Search Strategy Development — sensitivity vs precision; controlled vocabulary and free text; Boolean logic; filters; translation across databases; grey literature; documentation.
- Reference Management and Deduplication — importing records; exact vs fuzzy matching; quality control in the import process.
- Data Extraction Form Design — what data to extract; designing for different study designs; piloting and refining forms.
PART II — PLANNING THE REVIEW
Summary
Duration: ~8 hours
Prerequisites: Part I
Module 3 — Formulating the Review Question
Chapter 3.1 — From Uncertainty to Answerable Question
Learning Objectives
By the end of this chapter, you will be able to:
- Distinguish between an area of uncertainty, a research problem, and an answerable review question.
- Identify the characteristics of a well-formulated systematic review question.
- Recognize common pitfalls in question formulation — questions that are too broad, too narrow, or unanswerable.
- Apply a structured process to move from a topic of interest to a well-defined question.
- Engage stakeholders in question refinement.
🧠 Concept
1. The Distinction That Matters
Novice reviewers frequently confuse three distinct things:
| Level | Definition | Example |
|---|---|---|
| Topic | A broad subject area | "Hypertension management" |
| Problem / uncertainty | A specific gap or ambiguity in current knowledge | "It is unclear whether CHW-led interventions improve BP control in rural Ethiopia." |
| Answerable question | A structured inquiry that specifies population, intervention, comparator, and outcomes, and that can be answered by evidence synthesis | "In adults with hypertension in rural LMIC settings, do CHW-led interventions, compared with usual clinic-based care, reduce systolic blood pressure at 12 months?" |
A systematic review cannot be conducted on a topic. It requires an answerable question — one that specifies enough detail that a search strategy, eligibility criteria, and synthesis plan can be derived.
2. What Makes a Question "Answerable"
A well-formulated review question typically satisfies the following criteria:
- Specific — the population, intervention, and outcome are clearly defined.
- Focused — narrow enough that a manageable number of studies will be found.
- Feasible — there is likely to be sufficient evidence (a scoping search confirms this).
- Relevant — it addresses a real gap that matters to patients, practitioners, or policymakers.
- Timely — the answer is still valuable at the time the review will be published.
- Ethical — it does not require evidence that could not have been ethically produced.
3. Why Question Formulation Is the Most Important Stage
Every downstream decision depends on the question:
- The question determines the search strategy — the concepts in the question become the search concepts.
- It determines the eligibility criteria — a specific question yields specific inclusion/exclusion rules.
- It determines the data extraction fields — you extract data relevant to the question.
- It determines the synthesis method — an effectiveness question may involve meta-analysis; a qualitative question may involve meta-aggregation.
- It determines the reporting structure — PRISMA requires the objectives to be clearly stated and matched by the methods.
A weak question cannot be fixed by strong methods — every subsequent stage inherits its flaws.
4. Common Pitfalls in Question Formulation
| Pitfall | Problem | Fix |
|---|---|---|
| Too broad | Produces thousands of records; synthesis is impossible; comparison across heterogeneous studies is invalid. | Narrow the PICO — restrict population, intervention subtype, or outcomes. |
| Too narrow | Finds zero or one study; cannot synthesize. | Broaden the population or intervention; run a scoping search to check. |
| Multiple questions bundled | Different parts require different methods; team cannot focus. | Split into separate reviews or prioritize. |
| Outcome poorly defined | Studies measure different outcomes; effect estimates cannot be pooled. | Pre-specify the primary and secondary outcomes with measurement timing. |
| Intervention ill-defined | Diverse interventions included that should not be pooled. | Define intervention components, dose, duration, and delivery mode. |
| Question already answered | Wastes resources; duplicates existing work. | Check PROSPERO, Cochrane, Epistemonikos before starting. |
| Not stakeholder-relevant | Review produces an answer no one needs. | Engage stakeholders in question formulation. |
5. A Structured Process for Question Formulation
A practical seven-step process:
- Start with a real-world problem. Where is there genuine uncertainty? What decision would the review inform? Who cares about the answer?
- Conduct a preliminary literature scan. Rapidly review the existing literature — especially existing systematic reviews, guidelines, and recent primary studies — to identify the specific gap.
- Check PROSPERO and Cochrane Library. Has a similar review been registered or published? If yes, is an update warranted? If no, proceed.
- Draft the question using a framework (PICO, PECO, PICo, SPIDER — see Chapter 3.2). Frameworks force specificity.
- Test the draft against a scoping search. Run an initial search on one or two databases to check whether the question returns a manageable number of studies. Too many → narrow; too few → broaden.
- Engage stakeholders. Clinicians, patients, policymakers, and program managers can validate that the question addresses their needs. Their input often refines outcomes or population definitions.
- Refine iteratively. The first draft is almost never final. Iterate until the question is specific, focused, feasible, relevant, timely, and ethical.
6. Stakeholder Engagement
Meaningful stakeholder engagement improves the review by:
- Ensuring the question addresses priorities that matter to the people affected.
- Refining outcome selection — especially patient-centered outcomes that may not be captured in primary studies.
- Facilitating implementation and dissemination — stakeholders who shaped the question are more likely to use the answer.
- Increasing the review's credibility with funders, journals, and policy audiences.
Stakeholders to consider: patients or service users, clinicians, program managers, policymakers, methodologists, and representatives of advocacy organizations.
7. From Question to PICO — A First Look
The most commonly used framework for intervention questions is PICO:
- P — Population: who is the question about?
- I — Intervention: what is being done?
- C — Comparator: what is it being compared against?
- O — Outcome: what change is being measured?
Chapter 3.2 covers PICO and other frameworks in detail.
Worked Example — From Uncertainty to Answerable Question
Starting point (topic): "Telehealth for diabetes."
Real-world uncertainty: "It is unclear whether telehealth-delivered education programs improve glycemic control in adults with type 2 diabetes in low- and middle-income countries."
Initial question draft: "Does telehealth work in LMIC diabetes care?"
Problem: "Telehealth" is broad; "diabetes care" is broad; "work" is vague.
Refined question using PICO:
- P: Adults (≥18) with type 2 diabetes in LMIC settings.
- I: Telehealth-delivered education or self-management support (delivered via phone, SMS, mobile app, or video).
- C: Usual care (clinic-based follow-up).
- O: Change in HbA1c at ≥6 months (primary); quality of life and cost (secondary).
Final question: "In adults with type 2 diabetes in LMICs, do telehealth-delivered education programs, compared with usual clinic-based care, improve HbA1c at ≥6 months?"
Scoping search check: A quick PubMed search found 34 potentially relevant systematic reviews and primary studies — indicating a feasible but not oversized evidence base.
Knowledge Check: Exercise
Multiple Choice
-
Which of the following best describes an "answerable" review question?
- A broad topic area of interest
- A structured inquiry that specifies population, intervention, comparator, and outcomes
- A collection of related studies
- A question that has already been answered by another review
-
Which is a common pitfall in question formulation?
- Pre-specifying the outcomes
- Bundling multiple questions into one review
- Running a scoping search before finalizing
- Engaging stakeholders
-
The primary purpose of running a scoping search during question formulation is to:
- Complete the review
- Produce the PRISMA flow diagram
- Check whether the question is feasible and appropriately sized
- Register the protocol
-
Which of the following is NOT a criterion of a well-formulated review question?
- Specific
- Focused
- Ambiguous
- Feasible
-
Engaging stakeholders in question formulation is valuable mainly because it:
- Guarantees publication
- Ensures the question addresses priorities that matter to those affected
- Replaces the need for a protocol
- Reduces the need for dual screening
Applied Scenario
A public health agency wants to commission a systematic review on "health education programs in schools." A junior staff member drafts the question: "Do school health education programs improve health outcomes in children?"
Question: What methodological problems does this draft question present, and how would you refine it?
Suggested Answer
Problems with the draft question:
- Too broad — "health education programs" encompasses nutrition, sexual health, substance use, mental health, physical activity, and more.
- Undefined population — "children" spans ages 5 to 18; primary vs secondary school settings differ dramatically.
- Vague outcomes — "health outcomes" could mean knowledge, behavior, biomarkers, or long-term morbidity.
- No comparator — no explicit comparison (usual curriculum, no intervention, alternative program).
Refinement using PICO:
- P: Adolescents aged 12–16 in secondary schools.
- I: Structured, curriculum-based mental health literacy programs (≥8 weeks).
- C: Standard curriculum (no mental health literacy program).
- O: Mental health literacy score at ≥3 months (primary); help-seeking behavior (secondary).
Refined question: "In secondary school students aged 12–16, do structured mental health literacy programs, compared with standard curriculum, improve mental health literacy scores at ≥3 months?"
🔗 Cross-References
Prerequisite chapters:
- Chapter 1.2 — Evidence Hierarchy and the Role of Systematic Reviews
- Chapter 2.1 — The 12-Stage Systematic Review Lifecycle
Follow-up chapters:
- Chapter 3.2 — PICO, PECO, PICo, SPIDER: Choosing the Right Framework
- Chapter 3.3 — Defining Eligibility Criteria
- Chapter 3.4 — Scoping Searches: Validating Your Question
- Chapter 4.1 — Why a Protocol Is Essential
Related RevProHub articles:
📚 References and Further Reading
- Richardson WS, Wilson MC, Nishikawa J, Hayward RS. The well-built clinical question: a key to evidence-based decisions. ACP J Club. 1995;123(3):A12–A13.
- Booth A, Sutton A, Papaioannou D. Systematic Approaches to a Successful Literature Review. 3rd ed. London: SAGE; 2021.
- Counsell C. Formulating questions and locating primary studies for inclusion in systematic reviews. Ann Intern Med. 1997;127(5):380–387.
- Pollock A, Campbell P, Struthers C, et al. Stakeholder involvement in systematic reviews: a scoping review. Syst Rev. 2018;7(1):208.
- Higgins JPT, Thomas J, Chandler J, et al., eds. Cochrane Handbook for Systematic Reviews of Interventions. Version 6.4. Cochrane; 2023. Chapter 2: Determining the scope of the review and the questions it will address.
- 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.
Chapter 3.2 — PICO, PECO, PICo, SPIDER: Choosing the Right Framework
Learning Objectives
By the end of this chapter, you will be able to:
- Describe the PICO framework and its components.
- Identify the primary alternatives — PECO, PICo, SPIDER, SPICE, PIRT — and their purposes.
- Match the correct framework to a given review question.
- Apply PICO to build both an effectiveness question and a search strategy.
- Recognize the limitations of frameworks and know when to adapt them.
🧠 Concept
1. Why Frameworks?
Frameworks provide structure. Without them, questions drift — the population changes, outcomes multiply, the intervention becomes ambiguous. Frameworks force the reviewer to specify each element, which in turn makes the question answerable. Frameworks also produce the concepts that will become search terms, eligibility criteria, and data extraction fields.
2. PICO — The Most Common Framework
PICO is designed for intervention questions:
| Component | Definition | Example |
|---|---|---|
| P — Population | Who is being studied? | Adults ≥18 with type 2 diabetes |
| I — Intervention | What is being done? | Telehealth-delivered education program |
| C — Comparator | Compared with what? | Usual clinic-based care |
| O — Outcome | What is being measured? | Change in HbA1c at ≥6 months |
Optional extensions:
- T — Time: over what period?
- S — Study design: which designs are eligible?
- Setting: where does the review apply (LMIC, hospital, community)?
3. PECO — For Exposure / Etiology Questions
When the question concerns an exposure (not an intervention you control), PECO replaces I with E:
- P — Population
- E — Exposure
- C — Comparator (unexposed or different exposure level)
- O — Outcome
Example: "In adults (P), does chronic exposure to air pollution (E), compared with low exposure (C), increase the risk of asthma hospitalization (O)?"
PECO is used for risk factor reviews, environmental exposure reviews, and observational etiology questions.
4. PICo — For Qualitative Questions
Qualitative questions rarely have a "comparator" or "outcome" in the traditional sense. PICo adapts the framework:
- P — Population (or phenomenon context)
- I — Interest (phenomenon of interest)
- Co — Context
Example: "What are the experiences (I) of pregnant women (P) with antenatal care in rural Ethiopia (Co)?"
5. SPIDER — For Qualitative and Mixed-Methods Questions
SPIDER is designed for qualitative and mixed-methods reviews, particularly when research design is a key filter:
- S — Sample
- PI — Phenomenon of Interest
- D — Design
- E — Evaluation
- R — Research type
Example: "In nurses working in intensive care (S), what is the impact of shift work (PI) on well-being (E), as reported in phenomenological and ethnographic studies (D, R)?"
6. SPICE — For Social Science and Policy Questions
SPICE is commonly used in social science, health policy, and library science reviews:
- S — Setting
- P — Perspective
- I — Intervention
- C — Comparison
- E — Evaluation
7. PIRT — For Diagnostic and Prognostic Questions
PIRT is used for test accuracy questions:
- P — Population
- I — Index test
- R — Reference standard
- T — Target condition
Example: "In adults with suspected pulmonary embolism (P), what is the accuracy of CT pulmonary angiography (I) compared with V/Q scanning (R) for the detection of pulmonary embolism (T)?"
8. Framework Selection Guide
| Review Question Type | Recommended Framework |
|---|---|
| Intervention effectiveness | PICO |
| Exposure / etiology / risk factor | PECO |
| Qualitative experience or perception | PICo or SPIDER |
| Diagnostic test accuracy | PIRT |
| Prognosis | PICO adapted (P, prognostic factor, outcome) |
| Social science / policy | SPICE |
| Mixed-methods | Combine (e.g., PICO for quantitative; PICo for qualitative) |
| Economic evaluation | PICOS adapted with cost outcomes |
9. Limitations and Adaptations
Frameworks are tools, not dogmas. Adaptations are common:
- Some reviews add a fifth element (e.g., PICOS with Study design, or PICOT with Time).
- Complex interventions may not fit a single I — the reviewer may define an intervention "family" with a shared mechanism.
- Prevalence reviews may drop the C — the question is simply "what is the prevalence of X in Y?"
- Umbrella reviews may add an "S" for "Synthesis of reviews."
10. From Framework to Search Strategy
Each PICO element becomes a search concept:
| PICO Element | Search Concept |
|---|---|
| Population | Medical Subject Headings (MeSH) + free-text synonyms for the population |
| Intervention | MeSH + free-text synonyms for the intervention |
| Comparator | Often omitted from search (broadening) — depends on review scope |
| Outcome | Usually not searched (to keep search sensitive) — but may be added for narrow searches |
Worked Example — Building a Search from PICO
Review question: "In adults with hypertension in LMICs, do community health worker-led interventions, compared with usual clinic care, reduce systolic blood pressure at 12 months?"
PICO breakdown:
- P — Adults with hypertension in LMICs
- I — Community health worker-led interventions
- C — Usual clinic-based care
- O — Systolic blood pressure at 12 months
Search concepts (from P and I):
- Concept 1 (Population): "hypertension" OR "high blood pressure" OR "HTN" — combined with LMIC filters or country names
- Concept 2 (Intervention): "community health worker" OR "CHW" OR "lay health worker" OR "community health aide" OR "village health worker"
Draft search (PubMed syntax):
("Hypertension"[Mesh] OR hypertens*[tiab] OR "high blood pressure"[tiab])
AND
("Community Health Workers"[Mesh] OR "community health worker*"[tiab] OR "lay health worker*"[tiab] OR "village health worker*"[tiab])
Refinement: Add a validated LMIC filter; add a randomized-trial filter if only RCTs are eligible.
This illustrates how frameworks translate directly into search strategy — the framework isn't just conceptual; it is the bridge to the search design stage.
Knowledge Check: Exercise
Multiple Choice
-
Which framework is most appropriate for a qualitative review of patients' experiences with dialysis?
- PICO
- PECO
- PICo
- PIRT
-
PECO is used primarily for:
- Intervention effectiveness questions
- Exposure or etiology questions
- Diagnostic accuracy questions
- Economic evaluations
-
In the PIRT framework, the letter "R" stands for:
- Randomization
- Reference standard
- Reviewer
- Risk factor
-
Which element is often added to PICO to specify eligible study designs?
- T — Time
- S — Study design
- B — Bias
- N — Number of participants
-
Which PICO element is often omitted from the search strategy to preserve sensitivity?
- Population
- Intervention
- Outcome
- Setting
Applied Scenario
A research team is planning a systematic review on the impact of chronic stress on cardiovascular disease in healthcare workers. They want to include both quantitative studies (cohorts, RCTs) and qualitative studies on perceived stress and coping.
Question: Which framework (or combination of frameworks) would you recommend for this review, and why?
Suggested Answer
This is a mixed-methods review, so no single framework fits. Recommended approach:
- PECO for the quantitative component:
- P — Healthcare workers
- E — Chronic occupational stress
- C — Low stress or comparison occupational groups
- O — Cardiovascular outcomes (e.g., hypertension, myocardial infarction)
- PICo for the qualitative component:
- P — Healthcare workers
- I — Experience of chronic stress and coping
- Co — Hospital or clinic workplace context
- Integration: Use a mixed-methods systematic review design (convergent or sequential, per JBI methodology).
The two frameworks produce two separate but coordinated question statements, feeding into two different sets of search concepts and eligibility criteria. Integration occurs at the synthesis stage, where findings are interpreted together.
🔗 Cross-References
Prerequisite chapters:
- Chapter 1.5 — Types of Systematic Reviews
- Chapter 3.1 — From Uncertainty to Answerable Question
Follow-up chapters:
- Chapter 3.3 — Defining Eligibility Criteria
- Chapter 3.4 — Scoping Searches: Validating Your Question
- Chapter 5.2 — Identifying Search Terms: MeSH, Emtree, Free-Text, Synonyms
- Chapter 5.3 — Boolean Logic and Search Syntax
Related RevProHub articles:
📚 References and Further Reading
- Richardson WS, Wilson MC, Nishikawa J, Hayward RS. The well-built clinical question: a key to evidence-based decisions. ACP J Club. 1995;123(3):A12–A13.
- Morgan RL, Whaley P, Thayer KA, Schünemann HJ. Identifying the PECO: A framework for formulating good questions to explore the association of environmental and other exposures with health outcomes. Environ Int. 2018;121(Pt 1):1027–1031.
- Lockwood C, Munn Z, Porritt K. Qualitative research synthesis: methodological guidance for systematic reviewers utilizing meta-aggregation. Int J Evid Based Healthc. 2015;13(3):179–187.
- Cooke A, Smith D, Booth A. Beyond PICO: the SPIDER tool for qualitative evidence synthesis. Qual Health Res. 2012;22(10):1435–1443.
- Booth A. Clear and present questions: formulating questions for evidence based practice. Libr Hi Tech. 2006;24(3):355–368.
- Bossuyt PM, Reitsma JB, Bruns DE, et al. STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. BMJ. 2015;351:h5527.
- Methodology Committee of the Patient-Centered Outcomes Research Institute (PCORI). Methodological standards and patient-centeredness in comparative effectiveness research. JAMA. 2012;307(15):1636–1640.
Chapter 3.3 — Defining Eligibility Criteria (Inclusion and Exclusion)
Learning Objectives
By the end of this chapter, you will be able to:
- Explain the purpose of eligibility criteria in a systematic review.
- Write clear, unambiguous inclusion and exclusion criteria.
- Anticipate common edge cases and decide how to handle them pre-specified.
- Distinguish between criteria that reduce bias and criteria that introduce bias.
- Document eligibility criteria in the protocol and align them with the review question.
🧠 Concept
1. What Are Eligibility Criteria?
Eligibility criteria are the rules that determine whether a study is included in or excluded from the review. They operationalize the review question: the PICO framework defines what the review is about; eligibility criteria define which studies count as evidence.
Well-defined eligibility criteria:
- Reduce the risk of selection bias in the review.
- Enable consistent decisions by independent reviewers.
- Make the review reproducible.
- Align the study pool with the review question.
2. Structure of Eligibility Criteria
Eligibility criteria typically follow the PICO(S) framework:
| Domain | Typical Criteria |
|---|---|
| Population | Age range, health condition, setting (community, hospital), geography, gender, other characteristics. |
| Intervention / Exposure | Type, dose, duration, delivery mode, provider, minimum intensity. |
| Comparator | Usual care, placebo, no intervention, alternative intervention. |
| Outcome | Primary and secondary outcomes; measurement tools; minimum follow-up duration. |
| Study design | RCTs, quasi-experimental, cohort, case-control, cross-sectional, qualitative. |
| Other | Language, publication date, publication type, availability of data. |
3. Inclusion vs Exclusion
Each criterion can be expressed as either an inclusion rule (study is eligible if it meets X) or an exclusion rule (study is not eligible if it fails Y). Both forms are valid; the choice depends on clarity:
- Inclusion: "Randomized controlled trials of adults ≥18 with type 2 diabetes..."
- Exclusion: "Studies in children (<18) will be excluded..."
Reviewers should avoid double-negative or ambiguous criteria. "Studies that are not unpublished" is unclear — write "Only published studies."
4. Writing Unambiguous Criteria
Every criterion should be:
- Specific — no ambiguous terms like "older adults," "moderate dose," or "long-term follow-up."
- Operationalized — define exact thresholds ("≥65 years," "≥8 weeks," "≥6-month follow-up").
- Justified — the criterion should be linked to the review question, not arbitrary.
- Consistently applicable — two reviewers, using the criteria, should arrive at the same decision.
| Ambiguous Criterion | Operationalized Criterion |
|---|---|
| "Older adults" | "Adults aged 65 years or older" |
| "Moderate-intensity exercise" | "Structured aerobic exercise ≥150 minutes/week for ≥8 weeks" |
| "Long-term follow-up" | "Follow-up of ≥12 months from baseline" |
| "Recent studies" | "Studies published from January 2015 onward" |
| "High-quality studies" | "Studies meeting at least 4 of 7 criteria on the Newcastle-Ottawa Scale" |
| "English" | "Full text available in English" (specify: title/abstract vs full text) |
5. Common Edge Cases — Decide in Advance
Real-world reviews encounter predictable edge cases. Deciding how to handle them in the protocol prevents inconsistent decisions later:
| Edge Case | Recommendation |
|---|---|
| Mixed populations (adults + children) | Include if ≥80% meet the age criterion, OR if subgroup data for adults is separately reported. |
| Mixed interventions (intervention plus another) | Include if the intervention of interest is a defined component; document co-interventions and plan sensitivity analysis. |
| Conference abstracts | Include only if full data are available; otherwise exclude or include only with authors' additional data. |
| Preprints | Decide in protocol: include if peer-reviewed version unavailable, or exclude entirely. |
| Multiple publications of the same study | Link all reports; use the most complete; avoid double-counting participants. |
| Subgroup publications | Include only if they add data unavailable in the main publication. |
| Non-English studies | Include; translate key sections; avoid language bias. |
| Studies with no usable data | Contact authors; exclude if no data after 2 attempts; document in the flow diagram. |
| Quasi-randomized or cluster RCTs | Include if they address the question; note design and handle in risk of bias and analysis. |
6. Criteria That Introduce Bias
Some criteria seem reasonable but introduce systematic bias:
- Language restrictions — excluding non-English studies often excludes high-quality research and inflates effect estimates (language bias).
- Publication status restrictions — excluding unpublished studies amplifies publication bias.
- Date restrictions without justification — may exclude relevant older studies, especially for stable interventions.
- Sample size minimums — excluding small studies is generally not appropriate; small studies contribute to pooled estimates and to assessment of publication bias.
- Only "high-quality" studies — impossible to judge quality before appraisal; the criterion is circular.
- Restricting to studies from one country — may reduce applicability without a methodological reason.
Where such restrictions are used (e.g., in rapid reviews), they must be transparently documented and justified, and their impact assessed via sensitivity analysis.
7. Aligning Criteria with the Protocol
The eligibility criteria must appear:
- In the protocol, registered before the search begins.
- In the PRISMA-P checklist (item 8).
- In the final PRISMA 2020 reporting (item 5).
- In the screening interface of RevProHub (or equivalent platform).
Any subsequent change to eligibility criteria after screening begins is a protocol amendment and must be documented and reported.
8. Pilot Testing Eligibility Criteria
Before starting formal screening:
- Sample 20–30 records from the pool.
- Have two reviewers independently apply the criteria.
- Compare decisions and discuss disagreements.
- Refine ambiguous criteria as needed.
- Repeat until agreement is high (typically ≥80–90% before formal screening).
This pilot process is often called calibration and is essential to prevent divergent decisions during the main screening phase.
Worked Example — Eligibility Criteria for a Hypertension Review
Review question: "In adults with hypertension in LMICs, do CHW-led interventions, compared with usual clinic care, reduce systolic blood pressure at 12 months?"
Inclusion criteria:
- Population: Adults ≥18 years diagnosed with hypertension (SBP ≥140 mmHg or DBP ≥90 mmHg, or on antihypertensive medication), residing in a low- or middle-income country as defined by the World Bank.
- Intervention: Any intervention delivered primarily by community health workers (paid or volunteer), including screening, health education, medication adherence support, or routine monitoring.
- Comparator: Usual care (clinic-based follow-up) or enhanced usual care without CHW involvement.
- Outcome: Change in systolic blood pressure (SBP) at ≥12 months from baseline (primary); diastolic blood pressure, treatment adherence, and cost (secondary).
- Study design: Randomized controlled trials (individual or cluster) and quasi-experimental studies with a concurrent control group.
- Language: All languages; translations obtained for non-English full texts.
- Publication date: From 2000 onward (aligned with the emergence of modern CHW programs).
- Publication type: Peer-reviewed journal articles; preprints with a later peer-reviewed version are excluded.
Exclusion criteria:
- Studies conducted exclusively in high-income settings.
- Studies where CHWs perform only administrative or data collection functions without a therapeutic role.
- Studies with a follow-up of <12 months.
- Conference abstracts without full data.
- Studies lacking a comparator group.
Edge cases pre-specified:
- Studies with mixed HIC/LMIC settings — include if ≥50% of participants are from LMICs, or if LMIC-specific subgroup data are reported.
- Studies with both CHW and nurse-led components — include if the CHW component is the primary intervention.
- Multiple publications of the same trial — link and use the primary outcome publication as the data source.
Knowledge Check: Exercise
Multiple Choice
-
Which is the best-formulated eligibility criterion?
- "Adults of any age"
- "Moderate-intensity exercise"
- "Adults ≥18 years with type 2 diabetes diagnosed ≥6 months before enrollment"
- "Recently published studies"
-
Which criterion is most likely to introduce bias into a systematic review?
- Restricting to randomized controlled trials
- Restricting to English-language publications
- Specifying a minimum follow-up duration
- Pre-specifying the primary outcome
-
When should eligibility criteria be finalized?
- After screening is complete
- Before screening begins, in the registered protocol
- At the time of data extraction
- After peer review of the manuscript
-
Pilot testing eligibility criteria on 20–30 records is done to:
- Complete the review faster
- Ensure reviewers apply criteria consistently (calibration)
- Select the final included studies
- Register the protocol
-
Which is NOT a recommended practice for handling multiple publications of the same study?
- Link all reports of the same study
- Use the most complete publication as the primary data source
- Count participants twice from separate reports
- Document linkage decisions in the extraction form
Applied Scenario
A team is drafting eligibility criteria for a review on "the effectiveness of telehealth interventions for chronic disease management." They are debating whether to exclude studies with fewer than 50 participants, exclude non-English papers, and require at least 6 months of follow-up.
Question: Which of these three restrictions would you advise against, and why?
Suggested Answer
- Excluding studies with <50 participants — advise against. Small studies contribute meaningful data, especially in reviews of rare conditions or specialist populations. Excluding them artificially narrows the evidence base and reduces precision. It also hampers assessment of publication bias (funnel plot asymmetry cannot be interpreted when small studies are systematically excluded).
- Excluding non-English papers — advise against. This introduces language bias; the Cochrane Handbook explicitly cautions against this practice without justification. Non-English studies often replicate or extend findings; excluding them risks distorting pooled estimates.
- Requiring ≥6-month follow-up — acceptable if justified. This is a defensible methodological decision when the outcome of interest is long-term effect. However, the criterion should be pre-specified and justified in the protocol, and its impact should be assessed via subgroup analysis (short vs long-term outcomes).
The lesson: restrictions should be driven by the review question, not convenience — and every restriction should be assessed for its potential to introduce bias.
🔗 Cross-References
Prerequisite chapters:
- Chapter 3.1 — From Uncertainty to Answerable Question
- Chapter 3.2 — PICO, PECO, PICo, SPIDER
Follow-up chapters:
- Chapter 3.4 — Scoping Searches: Validating Your Question
- Chapter 4.2 — Anatomy of a Systematic Review Protocol
- Chapter 8.2 — Inclusion/Exclusion Decision Rules
- Chapter 8.3 — Pilot Screening and Calibration
Related RevProHub articles:
📚 References and Further Reading
- Higgins JPT, Thomas J, Chandler J, et al., eds. Cochrane Handbook for Systematic Reviews of Interventions. Version 6.4. Cochrane; 2023. Chapter 3: Defining the criteria for including studies and how they will be grouped for the synthesis.
- Moher D, Shamseer L, Clarke M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4:1.
- Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71.
- Morrison A, Polisena J, Husereau D, et al. The effect of English-language restriction on systematic review-based meta-analyses: a systematic review of empirical studies. Int J Technol Assess Health Care. 2012;28(2):138–144.
- Egger M, Juni P, Bartlett C, Holenstein F, Sterne J. How important are comprehensive literature searches and the assessment of trial quality in systematic reviews? Empirical study. Health Technol Assess. 2003;7(1):1–76.
- Higgins JPT, Altman DG, Gøtzsche PC, et al. The Cochrane Collaboration's tool for assessing risk of bias in randomised trials. BMJ. 2011;343:d5928.
Chapter 3.4 — Scoping Searches: Validating Your Question
Learning Objectives
By the end of this chapter, you will be able to:
- Explain the purpose of a scoping search in the review design process.
- Distinguish a scoping search from the formal systematic search.
- Design and execute a scoping search efficiently.
- Interpret scoping search results to refine the review question and eligibility criteria.
- Identify when a scoping search suggests a review is not feasible or not needed.
🧠 Concept
1. What Is a Scoping Search?
A scoping search is a preliminary, exploratory search conducted before the systematic review is formally launched. Its purpose is not to identify all evidence — that is the job of the systematic search — but to:
- Gauge the approximate size of the evidence base.
- Identify existing systematic reviews on the topic.
- Test the viability of the draft question and eligibility criteria.
- Discover the terminology used by researchers in this field.
- Spot gaps, overlaps, or unexpected populations/interventions.
- Avoid wasting resources on a question that has already been answered.
Scoping searches are also called preliminary searches, exploratory searches, or sensitivity checks.
2. Scoping Search vs Systematic Search
| Dimension | Scoping Search | Systematic Search |
|---|---|---|
| Purpose | Explore and validate feasibility | Identify all eligible studies |
| Timing | Before protocol registration | After protocol registration |
| Databases | 1–2 (PubMed, Cochrane Library) | Multiple (4+ databases + registers + grey literature) |
| Search complexity | Simple; broad keyword search | Comprehensive; MeSH + free text + filters |
| Peer review of search | Not required | Recommended (PRESS framework) |
| Documentation | Informal; for internal use | Full documentation; PRISMA-S compliant |
| Output | Feasibility assessment; question refinement | Complete study pool |
Scoping searches are typically not reported in the manuscript — but their influence on question refinement should be documented in the protocol's background section.
3. How to Conduct a Scoping Search
A practical workflow:
- Start with your draft PICO/PECO/PICo. Translate the population and intervention/exposure into 2–4 key terms.
- Run a simple search in one database. Use PubMed, Scopus, or Cochrane Library — whichever is most accessible. Avoid complex syntax; just OR synonyms within each concept and AND across concepts.
- Skim the results. Look at the first 2–3 pages of titles. Are they relevant? Are there obvious themes?
- Check for existing reviews. Search Cochrane Library, PROSPERO, and Epistemonikos specifically for systematic reviews on the same topic.
- Estimate the volume. How many records does the search return in total?
- Assess language and geography. Are the studies mostly from HICs or LMICs? Which languages dominate?
- Note terminology. What MeSH terms and synonyms are commonly used? These will inform the formal search strategy.
- Refine the question if needed. If the search returns too many records, narrow the population or intervention. If it returns too few, broaden.
4. Interpreting Scoping Results
| Scoping Result | Interpretation | Action |
|---|---|---|
| <10 potentially eligible studies | Very small evidence base; review may lack power to inform decisions. | Broaden the population or intervention; or consider a different review type (e.g., scoping review). |
| 10–100 eligible studies | Feasible size for a systematic review. | Proceed with protocol development. |
| 100–1,000 studies | Large evidence base; review will be resource-intensive. | Consider narrowing the question or focusing on a specific subgroup. |
| >1,000 studies | Very broad; may be unmanageable. | Strongly narrow the question; consider a focused sub-question. |
| Multiple recent systematic reviews | Question likely already answered. | Consider an update, an umbrella review, or a different question. |
| No relevant terminology found | Potential issue with search terms; question may be poorly framed. | Refine terminology; check with a librarian or content expert. |
| Very recent field (post-2022 only) | Evidence may be immature; results unstable. | Consider a scoping review or rapid review instead of a full systematic review. |
5. Checking for Existing Reviews
Before finalizing the question, always check whether a similar review already exists. The main sources:
| Source | What It Contains |
|---|---|
| PROSPERO | Registered protocols for systematic reviews (health-related) |
| Cochrane Library | Published and in-progress Cochrane reviews |
| Epistemonikos | Database of systematic reviews and overviews of reviews |
| Campbell Collaboration | Published reviews in social sciences |
| JBI Database | Systematic reviews and protocols in nursing and allied health |
| KSR Evidence | Database of systematic review abstracts |
| PubMed (filter: systematic review) | Broad coverage of all systematic reviews |
| Google Scholar | Broad search; useful as a supplementary check |
If an existing review is found:
- Is it recent (within the last 3–5 years)?
- Does it match your population, intervention, and outcomes?
- Is its methodology rigorous (e.g., AMSTAR 2 rating)?
- Are you planning a meaningful update or extension?
If the existing review is high quality, recent, and directly applicable, your planned review may not be needed — or it may need to be repositioned as a distinct question.
6. Documenting the Scoping Search
While scoping searches are not formally reported, documentation helps the team and is useful for the protocol's "rationale" section:
- Databases searched and date.
- Approximate number of records returned.
- Number of existing systematic reviews found (with citations).
- Key observations about populations, interventions, or outcomes.
- Any adjustments made to the question as a result.
This internal record becomes part of the review's audit trail.
7. From Scoping to Protocol
Once the scoping search confirms feasibility:
- Finalize the PICO/PECO/PICo.
- Lock the eligibility criteria.
- Draft the search concepts for the formal search.
- Register the protocol (PROSPERO or equivalent).
- Begin the systematic search.
Worked Example — Scoping Search Reveals a Reframing Need
A team in Addis Ababa wants to review "the effectiveness of mobile health (mHealth) interventions for diabetes in Africa."
Scoping search (PubMed, simple query):
("mHealth" OR "mobile health" OR "smartphone") AND diabetes AND Africa
Results: 42 records. Most were from South Africa and Kenya; several were protocols; only 12 were completed studies; 4 recent systematic reviews on similar topics had been published since 2022.
Interpretation:
- The 42 records seem small, but many are protocols — suggesting the field is still maturing.
- Existing reviews may partly cover the question.
- The geographic focus is narrow (South Africa, Kenya) — a broader Africa-wide review might add value.
Refinements made:
- Broadened to "sub-Saharan Africa" for a more comprehensive picture.
- Focused on completed randomized controlled trials only, excluding protocols.
- Added HbA1c as the primary outcome to sharpen the question.
- Reviewed the 4 existing systematic reviews — none covered the full sub-Saharan scope, confirming a gap.
Final question: "In adults with type 2 diabetes in sub-Saharan Africa, do smartphone-based mHealth interventions, compared with usual care, reduce HbA1c at ≥6 months?"
The scoping search moved the team from a vague topic to a focused, feasible, and non-duplicative review question.
Knowledge Check: Exercise
Multiple Choice
-
What is the primary purpose of a scoping search?
- To identify all eligible studies for the review
- To gauge feasibility and refine the review question
- To complete the PRISMA flow diagram
- To register the protocol
-
Which database is specifically designed for finding existing systematic reviews?
- PubMed
- Scopus
- Epistemonikos
- Web of Science
-
Which scoping search result is the strongest signal that the review may not be needed?
- 10 eligible studies found
- 100 eligible studies found
- Multiple recent, high-quality systematic reviews on the same question
- Studies only from LMICs
-
If a scoping search returns fewer than 10 potentially eligible studies, the reviewer should consider:
- Continuing as planned regardless
- Broadening the question or choosing a different review type (e.g., scoping review)
- Excluding non-English studies
- Dropping the protocol registration step
-
A scoping search should be documented primarily to: