Estimating the magnitude and direction of bias in tuberculosis drug resistance surveys conducted only in the public sector: a simulation studyReport as inadecuate




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BMC Public Health

, 10:355

First Online: 21 June 2010Received: 04 November 2009Accepted: 21 June 2010DOI: 10.1186-1471-2458-10-355

Cite this article as: Cohen, T., Hedt, B.L. & Pagano, M. BMC Public Health 2010 10: 355. doi:10.1186-1471-2458-10-355

Abstract

BackgroundAccurate assessment of the burden of drug-resistant TB requires systematic efforts to quantify its magnitude and trend. In approximately half the countries where resistance has been reported, estimates are based on surveys conducted in public sector facilities. However, in locations where a substantial fraction of TB cases seek care with private providers, these surveys may not accurately measure resistance in the entire population.

MethodsWe describe a mathematical model to investigate biases associated with sampling only from public sector cases in India, where TB treatment is offered in both public and private sectors. We then propose and demonstrate a weighted estimator as an efficient method for including small numbers of cases from the private sector as a way to recover valid estimates of resistance in the population under study.

ResultsWe find that public sector surveys rarely provide valid estimates of drug-resistance among new and retreatment cases. Further, the magnitude and direction of the bias are sensitive to many parameters describing the health-seeking behaviours and treatment outcomes of tuberculosis patients, disallowing simple adjustments to recover accurate estimates.

ConclusionsIn locations where large numbers of tuberculosis patients are diagnosed and treated by private sector practitioners who are not typically included in drug resistance surveys, targeted surveys for assessing drug resistance are required to validly estimate resistance.

Electronic supplementary materialThe online version of this article doi:10.1186-1471-2458-10-355 contains supplementary material, which is available to authorized users.

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Author: Ted Cohen - Bethany L Hedt - Marcello Pagano

Source: https://link.springer.com/



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