A Healthcount pilot is designed to show whether maintenance support improves outcomes for your GLP-1 cohort. Every metric is reported in privacy-safe, aggregated form.
What proportion of invited members complete their first check-in within 14 days? Early activation signals programme viability and member willingness to engage.
How many members are still actively using Healthcount at 8 weeks, 12 weeks, and beyond? Sustained engagement is more meaningful than initial sign-up.
What drift signals are appearing across the cohort? Medication gaps, appetite return, side-effect friction, disengagement patterns - distributed at group level.
28+ day medication gaps and restart rates per 100 member-months. These proxy metrics help quantify discontinuation risk across the cohort.
How often are members prompted to seek clinical support? This metric shows the system is catching appropriate signals and directing people safely.
Opt-out rates, opt-out reasons, and typical time spent per interaction. A well-designed programme earns trust by asking for one line a day and giving the numbers back.
Define cohort scope, success criteria, reporting cadence, and data governance expectations. Agree clinical boundary and signposting approach.
Configure dashboard, prepare member communications, and set up onboarding flow. Members are invited to Healthcount.
Healthcount operates. Members engage at their own pace. Interim reporting is available throughout the pilot period.
End-of-pilot evaluation report covering all metrics. Recommendations for full rollout, adjustments, or next steps.
Healthcount does not replace clinical care. All pilot metrics are reported in aggregated, de-identified form. Individual member data is never shared with funders.
Request a pilot pack and see how Healthcount measures maintenance for your GLP-1 cohort.