Cluster-randomized controlled trials are the gold standard for assessing efficacy of community-level interventions, such as vector-control strategies against dengue. We describe a novel cluster-randomized trial methodology with a test-negative design (CR-TND), which offers advantages over traditional approaches. This method uses outcome-based sampling of patients presenting with a syndrome consistent with the disease of interest,who are subsequently classified as test-positive cases or test-negative controls on the basis of diagnostic testing.We used simulations of a cluster trial to demonstrate validity of efficacy estimates under the test-negative approach. We demonstrated that, provided study arms are balanced for both test-negative and test-positive illness at baseline and that other test-negative design assumptions are met, the efficacy estimates closely match true efficacy. Analytical considerations for an odds ratio-based effect estimate arising from clustered data and potential approaches to analysis are also discussed briefly. We concluded that application of the test-negative design to certain clusterrandomized trials could increase their efficiency and ease of implementation.
|Number of pages||8|
|Journal||American Journal of Epidemiology|
|Publication status||Published - 1 Jan 2018|
- Cluster-randomized trial
- Odds ratio
- Study design
- Test-negative design