Lifestyle intervention trial software for diet, activity and behavior-change studies

A drug trial controls the dose: the participant takes a tablet and the question is what happens next. A lifestyle trial controls an offer. The team offers a diet, a training plan, a sleep routine or a coaching program, and the participant does as much or as little of it as life allows. The effect of the intervention is therefore tangled up with how much of it was actually delivered and taken up, which is why these protocols nearly always define adherence, dose received and sometimes the quality of delivery as measurable things alongside the clinical outcome.

That has three consequences for the data system. First, the process data (sessions attended, minutes exercised, days the diary was completed) is as important to design as the outcome data and needs the same audit trail. Second, comparators are often usual care, a waitlist or an attention-matched control, which means the control arm also needs follow-up that is intensive enough to keep them in the study but not so intensive that it becomes an intervention. Third, because the participant knows which arm they are in, bias protection moves to the measurement: a blinded assessor, objective measures where possible, and careful definitions of what counts as complete follow-up.

Typical outcomes are weight or body composition, blood pressure, glycemic control, fitness, sleep, mood or a composite risk score, often with a mix of clinic-measured and participant-reported components. Capture handles both in one study. Clinic measures go into site eCRF forms with calculated fields such as BMI and waist-hip ratio, shown read-only during entry. Participant-reported data goes into ePRO tasks. Neither needs a second system or a reconciliation spreadsheet at the end.

Randomization is part of the platform, with stratification factors you define, such as site, sex or baseline body mass index band. See randomization without a CRO and clinical trial randomization software for how allocation works. If the trial is pragmatic and delivered inside routine services, the pragmatic clinical trial software page is a closer match to the design.

Because the participant cannot be blinded to a lifestyle program, protect the outcome. Role-based access means a blinded role never receives treatment-arm values; the restriction sits in masked database views and row-level security, not only in the interface. A common set-up has coaches who deliver the intervention and an assessor who measures outcomes and sees only coded participant IDs. Site coordinators can see names where the protocol needs them, while researchers see coded IDs. Confirm the exact role set-up in the sandbox for your design.

Sample size deserves the same care as the data capture. Lifestyle trials often have meaningful attrition, and a calculation that ignores it understates the number to recruit. The sample size calculator and the dropout-adjusted calculator give a first estimate that you can put in front of your statistician.