Inclusion & exclusion criteria (with PICO)
Eligibility criteria are the gate every study passes through in a systematic review. Inclusion criteria say what a study must have to qualify; exclusion criteria say what disqualifies it. Get them specific enough that two reviewers screen the same way — and fix them in the protocol before you look at the evidence. The cleanest way to build them is from PICO.
Build criteria from PICO
PICO turns a fuzzy topic into a focused question and a set of eligibility rules. Each element becomes one or more criteria:
| Element | Asks | Example inclusion criterion |
|---|---|---|
| P — Population | Who? | Adults (≥18) with type 2 diabetes |
| I — Intervention / Exposure | What? | A structured telehealth self-management programme |
| C — Comparison | Against what? | Usual in-person care |
| O — Outcome | Measuring what? | Change in HbA1c at ≥3 months |
| S — Study design (PICOS) | What kind of study? | Randomised controlled trials |
Variants exist for other question types — PEO and SPIDER for qualitative or mixed reviews — but the logic is the same: each element of the question maps to a criterion.
Inclusion vs exclusion — don’t just invert
Inclusion criteria define eligibility positively. Exclusion criteria remove studies that meet the inclusion criteria but carry a disqualifying feature — e.g. “trials where >20% of participants also had type 1 diabetes.” A common error is writing exclusions that merely restate the inverse of an inclusion (“include adults / exclude children”) — that’s redundant. Reserve exclusions for the genuine edge cases an inclusion rule can’t cleanly capture.
The make-or-break test: would two reviewers agree?
Eligibility criteria only work if they’re reproducible. Each one should be specific enough that two independent reviewers, screening the same record, reach the same verdict. Vague criteria (“recent studies,” “relevant populations”) collapse under real abstracts. Pilot your criteria on 20–30 records first, compare decisions, and tighten any rule that produced disagreement — before the main screen. And never loosen a criterion after seeing a striking study; that’s how selection bias creeps in.
Get the free Systematic Review Protocol Starter
A fill-in protocol template — review question (PICO, PEO, SPIDER, or PCC), search strategy, eligibility criteria, screening, data extraction, risk of bias, synthesis plan, and PRISMA flow counts — with two worked examples, from the Mastering Research series. We’ll email you the download link.
Frequently asked questions
What are inclusion and exclusion criteria?
The characteristics a study must have to qualify (inclusion) and the ones that disqualify it (exclusion) — fixed in the protocol before screening.
What is PICO?
Population, Intervention/Exposure, Comparison, Outcome (+Study design = PICOS) — each element becomes an eligibility criterion.
Inclusion vs exclusion?
Inclusion defines eligibility positively; exclusion removes qualifying studies with a disqualifying feature — don’t just invert an inclusion rule.
Most common mistake?
Vague criteria, or criteria decided after seeing the studies. Make them reproducible and set them in advance.
The Sample Size & Power Analysis Workbook
“How many participants do I need?” — the answer, and the paragraph that proves it.
64 fill-in templates. Paperback $32.99 on Amazon
See inside the workbookJust want the templates? The Sample Size & Power Analysis Template Kit: every template as a fillable PDF, $19.