Taking Costs and Diagnostic Test Accuracy into Account When Designing Prevalence Studies: An Application to Childhood Tuberculosis Prevalence

Zhuoyu Wang, Nandini Dendukuri, Madhukar Pai and Lawrence Joseph

Medical Decision Making, 2017, vol. 37, issue 8, 922-929

Abstract: Background. When planning a study to estimate disease prevalence to a pre-specified precision, it is of interest to minimize total testing cost. This is particularly challenging in the absence of a perfect reference test for the disease because different combinations of imperfect tests need to be considered. We illustrate the problem and a solution by designing a study to estimate the prevalence of childhood tuberculosis in a hospital setting. Methods. All possible combinations of 3 commonly used tuberculosis tests, including chest X-ray, tuberculin skin test, and a sputum-based test, either culture or Xpert, are considered. For each of the 11 possible test combinations, 3 Bayesian sample size criteria, including average coverage criterion, average length criterion and modified worst outcome criterion, are used to determine the required sample size and total testing cost, taking into consideration prior knowledge about the accuracy of the tests. Results. In some cases, the required sample sizes and total testing costs were both reduced when more tests were used, whereas, in other examples, lower costs are achieved with fewer tests. Conclusion. Total testing cost should be formally considered when designing a prevalence study.

Keywords: sample size; cost; diagnostic test accuracy; prevalence studies; diagnostic studies; Bayesian methods (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:37:y:2017:i:8:p:922-929

DOI: 10.1177/0272989X17713456

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