Recruitment playbookUpdated October 6, 2026

How to recruit patients for a clinical trial: a small-trial playbook

Most small trials do not fail on science, they stall on enrolment. This playbook covers feasibility, channels, pre-screening, consent and the funnel numbers worth tracking, with a data setup that makes each step measurable.

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Recruitment funnel (demo study data)

Pre-screened

48

Consented

21

Enrolled

16

Screen fails

5

Site 0019/12

of target

Site 0025/12

of target

Site 0032/12

of target

Demo numbers only. A by-site view tells you where recruitment is stalling while you can still act.

What this playbook covers

  • Test feasibility before you promise a number. Count real, reachable eligible patients at each site, not the prevalence of the condition.
  • Measure a funnel, not a headline: pre-screened, eligible, consented, enrolled, retained. The drop between each step tells you what to fix.
  • Anything shown to prospective participants needs ethics or IRB review in most settings. Confirm with your committee before advertising.
  • Make joining easy. Capture supports QR-code enrolment (site-specific or study-specific) with no app install, plus eConsent and ePRO in the same system.
  • Retention is recruitment too: a participant who drops out at week four costs as much as one never found.

Step 1

Start with feasibility, not a recruitment target

The most common recruitment plan is a target number copied from the sample size and a hope that sites will find the patients. A better plan starts from the other end. For each site, ask how many patients with the condition they saw in the last twelve months, how many of those would pass your inclusion and exclusion criteria, and how many would plausibly agree to the visits you are asking for. The gap between the first and last number is typically large, and it is better to learn that from a chart review than from a stalled study.

Read your own eligibility criteria as a recruiter would. Each criterion removes people. A washout period, a narrow age band, a required lab value or a restriction on concomitant medication can each cut the pool by a large share. If a criterion is there for scientific reasons, keep it. If it is there out of habit, the protocol is the cheapest place to fix recruitment, before approval rather than through an amendment. Our guide to how to write a clinical trial protocol covers this trade-off.

For a small trial, also ask whether the visit burden is realistic. Weekly clinic visits for a working adult shrink the pool. Hybrid designs, remote questionnaires and fewer, longer visits can widen it. See edc for hybrid clinical trials and how to run a pilot study if you are testing whether the design is workable at all.

Step 2

Recruitment channels for a small trial, and what each needs from you

Pick two or three channels you can run well. Spreading thin across all of them is the usual failure.

ChannelWorks best whenWhat to prepareEthics note
Site patient lists and clinic recordsSites already treat the target conditionA way to flag possible candidates for the treating clinicianContact usually goes through the treating team under local rules
Referring cliniciansPatients are managed in primary or specialist care outside the siteA one-page summary of the study and eligibilityMaterials may need approval
Patient organisations and communitiesThe condition has an active patient groupPlain-language description of what participants will doCheck group and committee requirements
Registry listingYou want discoverabilityA clear, accurate public record; see the registration guideThe record must match the approved protocol
Online advertising and social mediaThe condition is common and self-identifiedApproved copy and a short online pre-screenAdvertisements are generally reviewed by the ethics committee or IRB
Previous study participants or registriesA prior cohort consented to be recontactedDocumented permission for recontactRespect the original consent wording

This is general guidance, not legal advice. Local rules on recruitment materials and data protection vary.

Step 3

Pre-screen before you consent, and keep a screening log from day one

A short pre-screening questionnaire saves everyone time. It checks the criteria a participant can reliably self-report, such as age, diagnosis, medication and availability, before a site schedules a visit. It does not replace the formal eligibility assessment, and it should collect no more personal data than it needs. See online patient screening for clinical trials and clinical trial pre-screening tools for the design of these flows.

The screening and enrolment log is the record that makes your funnel measurable. For every person assessed, it notes the date, the outcome (consented and enrolled, consented but screen failed, declined, not eligible) and the reason. Reasons matter more than counts. If a third of screen failures trace to one lab threshold, you have found your recruitment problem and a potential protocol question. The screening and enrolment log template is a ready starting point, and an eligibility screening eCRF captures the same decisions inside the study record.

In Capture, participants can join through a QR code, either site-specific or study-specific, with no app install. Participant numbers are assigned per site (for example 001-0042), the site coordinator portal gives staff their own view, and data and exports can be filtered by site. That makes it practical to see recruitment by site on one screen rather than collating spreadsheets from each coordinator.

Step 4

Tracking recruitment: spreadsheets versus one study record

Seeing progress
Each coordinator emails a count; the total is a week out of date.
By-site filtering shows enrolment from the same records the study uses.
Screen-fail reasons
Free-text notes that nobody reads until the end.
A structured reason field you can tally and act on during the study.
Participant numbering
Numbers assigned by hand, sometimes duplicated.
Site-level numbering such as 001-0042 assigned consistently.
Consent evidence
Paper forms filed separately from the data.
eConsent with signatures and audit trail linked to the participant record.
Personal data
Names and contacts mixed into shared sheets.
Role-based access: site coordinators see names, researchers see coded IDs.

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What to watch

Recruitment metrics worth a weekly look

Pre-screened to eligible rate

Low rates point to unclear advertising or overly narrow criteria; check the reasons logged.

Eligible to consented rate

A big drop here usually means the visit burden or the consent explanation is off-putting.

Consented to enrolled rate

Screen failures after consent are costly; look for a criterion that could be checked earlier.

Enrolment by site against target

One lagging site is a site problem; all sites lagging is a protocol problem.

Time from first contact to enrolment

Long gaps lose people. Shorten scheduling, not scientific content.

Withdrawals by visit

Cluster at one visit means redesign that visit.

When recruitment stalls

What to do when the numbers are behind

Look at the funnel before you change anything. If pre-screening volume is low, the problem is reach, and the fix is a new or better channel. If volume is fine but few are eligible, the problem is the criteria or the message. If eligible people decline, look at the burden and the consent. Treating all three as one problem, and buying more advertising, is the expensive way to learn this.

Where a change to the protocol is justified, do it properly: ethics approval, updated registration where relevant, and an updated data system. With a self-serve system you can amend an approved form yourself in a draft-then-approve cycle, which keeps amendments from becoming vendor negotiations; see protocol amendments without change orders. Add sites rather than stretching existing ones if the pool is the limit, and use multi-site clinical trial management and patient recruitment software to keep new sites on the same records.

Capture is a data platform, not a recruitment marketplace: it does not find patients for you. What it does is make each step of the funnel visible in the same record as the clinical data, so decisions rest on numbers rather than coordinator impressions.

FAQ

Questions teams ask before they switch

Something not covered here? Ask us directly.

How do I recruit patients for a small clinical trial?

Estimate feasibility site by site from real clinic records, choose two or three channels you can run well, pre-screen before consent, and track a funnel from pre-screened to enrolled to retained. Fix the stage where the biggest drop occurs rather than adding more advertising.

Do recruitment materials need ethics approval?

In most settings, advertisements and other materials shown to prospective participants are reviewed by the ethics committee or IRB. Rules vary by country and institution, so confirm with your committee. This is general information, not legal advice.

What is a screening log and why keep one?

A screening and enrolment log records every person assessed, the outcome and the reason. It is what makes your recruitment funnel measurable and shows which criteria cause screen failures. A template is available in the templates library.

Can participants enrol without installing an app?

Yes. Capture supports QR-code enrolment, site-specific or study-specific, with no app install required. Participant numbers are assigned per site.

Does Capture find patients for my trial?

No. Capture is a data platform for EDC, eCRF, ePRO and eConsent. It does not source patients; it makes screening, consent and enrolment trackable by site.

How do I improve retention in a small trial?

Reduce burden (fewer visits, remote questionnaires), explain commitments clearly at consent, send reminders for diaries and give participants a named contact. Review withdrawals by visit to find the weak point.

Can I see enrolment by site in real time?

Capture lets you filter data and exports by site, and site coordinators have their own portal. Use the by-site view alongside your screening log to see which sites are behind.

Make recruitment measurable from the first participant

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