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Research method

Cluster Randomized Trial

A cluster-randomised trial assigns groups — clinics, villages, community sites, physician practices — rather than individual patients, then measures outcomes in people nested inside those groups. Randomisation still aims to balance clusters at baseline, but people in the same cluster share practices, norms and contamination risk, so the effective sample size is closer to the number of clusters than to the headcount. Many cluster trials in this set are also open-label: sites know which programme they received.

Investigators cluster-randomise when the intervention is a service, a reminder system, a sanitation campaign or a community-norm programme that cannot be given to one patient without spilling to the next. It answers 'did assigning this site or village change outcomes?' Its main limitation is that a within-cluster behaviour shift (more toilets, fewer missed TB doses) need not move child health or microbiologic cure, and an open-label 9 mm Hg SBP drop is not a blinded hard-event result.

Studies

5

Findings

5

5 supporting · 0 challenging · 0 qualifying citations

Open tensions

2

Currently

What we know

  1. A 12-week open-label three-arm pilot cluster-randomised 13 US primary-care sites to 4-week digital-medicine offering, 12-week offering, or usual care for uncontrolled hypertension with type 2 diabetes. Digital-medicine users had about 9 mm Hg greater SBP reduction by week 4, more patients at BP goal by week 12, and larger LDL-C declines; HbA1c trended lower. The design cannot speak to long-term cardiovascular events or to blinded placebo effects.
  2. Across 36 clusters, 4,173 pulmonary TB patients were assigned to control, SMS, medication monitor, or both. Medication monitors reduced poor adherence by 40–50% versus standard care; SMS alone did not improve adherence but cut loss to follow-up by 58%. Better dose-taking in this report is not the same as proven microbiologic cure, and performance outside China's NTP is untested.
  3. India's Total Sanitation Campaign was cluster-randomised across 80 villages in rural Madhya Pradesh. Intervention villages gained about 19 percentage points in improved sanitation facilities and a smaller (~10%) reduction in open defecation, but child-health endpoints did not improve after about 21 months. Short follow-up and some control-group contamination mean the trial shows this scaled package did not move health markers here, not that sanitation can never help.
  4. SASA! trained community activists in Kampala intervention clusters to challenge norms linking gender power, IPV and HIV risk. Past-year physical IPV and men's concurrency were about 50% lower in intervention communities, and attitudes supporting women's right to refuse sex improved. Precision was limited for some IPV estimates (wide CIs), and election-period suspension interrupted delivery.
  5. In Mashhad primary care, 35 physicians and 240 hypertensive patients were studied after intervention physicians received short experiential communication-skills training. Training was linked to better patient health literacy, medication adherence, self-efficacy and blood-pressure outcomes versus usual care to 6 months. Effects beyond 6 months, and which communication components drove BP change, were not isolated.

Largest unresolved question

Process success and health success are not the same cluster-trial result. TSC moved toilets (~19 percentage points) without moving child health; TB medication monitors moved adherence 40–50% without, in this report, proving cure; SASA! moved IPV and concurrency by about 50% as the intended social outcome. A student who treats 'the cluster intervention worked' as one sentence will misread at least one of these papers.

Common misconceptions

  • A cluster RCT with thousands of patients is as precise as individually randomising the same headcount.

    People in a clinic or village are not independent. The TB trial analysed 4,173 patients across 36 clusters; TSC used 80 villages; digital medicines used 13 sites. The independent units are the clusters that were assigned.

  • If SMS 'did not work' for TB adherence, it was a useless arm.

    SMS alone did not improve missed-dose adherence but cut loss to follow-up by 58%. Medication monitors were the adherence winners (40–50% less poor adherence). Endpoint choice changes which arm looks successful.

  • More toilets, or a 9 mm Hg SBP drop, means child survival or heart attacks must have improved.

    TSC's ~19 point facility gain and ~10% open-defecation reduction did not move child-health endpoints in that follow-up. The digital-medicine pilot's SBP/LDL shifts are 12-week open-label findings, not hard cardiovascular events.

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