4.5 Article

Proxy Responses for Mass Drug Administration Coverage Surveys: The Trends and Biases When Others are Allowed to Respond

Journal

AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE
Volume 106, Issue 1, Pages 268-274

Publisher

AMER SOC TROP MED & HYGIENE
DOI: 10.4269/ajtmh.21-0817

Keywords

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Funding

  1. Coalition for Operational Research on Neglected Tropical Diseases (COR-NTD) at the Task Force for Global Health
  2. United Kingdom aid from the British government
  3. US Agency for International Development through its Neglected Tropical Diseases Program

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This study analyzes coverage surveys in Malawi, Burkina Faso, and Uganda to investigate proxy responses and their impact on reported mass drug administration (MDA) coverage. The results reveal that individuals who require proxy responses are mainly men aged 11-39 and women aged 11-18, and proxy responses are associated with an inflation of reported drug coverage. This finding suggests the possibility of recall bias in proxy responses and calls for further research on obtaining accurate drug coverage information when individuals are absent.
Coverage surveys for mass drug administration (MDA) rely on respondent recall and often permit proxy responses, whereby another household member is allowed to respond on behalf of an absent individual. In this secondary analysis of coverage surveys in Malawi, Burkina Faso, and Uganda, we explore the characteristics of individuals who require proxy responses and quantify the association between proxy responses and reported drug coverage. The adjusted logistic regression model found that men 11-39 years and women 11-18 years who were eligible for MDA had greater odds of requiring a proxy response compared with ineligible men and women in the same age groups. A hierarchical multivariable analysis found that proxy responses had 1.70 times the odds of reporting ingestion of MDA drugs compared with first-person responses, controlling for age and sex (95% CI: 1.17, 2.46). This finding is surprising, given that individuals absent during a coverage survey may also have been absent during the MDA, and suggests that proxy responses may be leading to an inflation of survey estimates of drug coverage. This study highlights the possibility for recall bias in proxy responses to MDA coverage; however, excluding absent individuals from coverage surveys would introduce a new bias. Further research is necessary to determine the best method for obtaining information on drug coverage when individuals are absent.

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