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Social Science & Medicine
Article . 1990 . Peer-reviewed
License: CC BY NC ND
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Application of the verbal autopsy during a clinical trial

Authors: Michel Pacqué; Z. D. Dukuly; Sara Pacqué-Margolis; John Boateng; Hugh R. Taylor;

Application of the verbal autopsy during a clinical trial

Abstract

During a community-based treatment trial of onchocerciasis with ivermectin, verbal autopsies were employed as one method to assess the safety of the drug. The verbal autopsy questionnaire was designed to determine causes of death and mortality differentials in the treated population. During the 8 months of surveillance here reported, 25 individuals died, yet only 9 of these deaths were certified. Seven of the deaths occurred to individuals who had been treated with ivermectin and the majority of the deaths occurred to children under 5, who were excluded from treatment. The verbal autopsy method was evaluated and validated by comparing the verbal autopsy diagnosis of cause of death to death certificate diagnosis, when available. In addition, verbal autopsies were retrospectively performed for all deaths which had occurred at the hospital during the 6 months preceding the start of the study, if these deaths were traceable to households in the surveillance population. We found that in 80% of the adult deaths, the verbal autopsy and death certificate diagnoses of underlying cause of death agreed. The verbal autopsy was less accurate in diagnosing child deaths which we attribute to the design of the verbal autopsy (being to detect potential drug related deaths in adults) and to the delay between death and interview. We conclude that verbal autopsies are an important addition to surveillance systems in remote areas where the absence or inadequacy of health information systems does not allow a thorough follow-up of all subjects in drug studies.

Keywords

Ivermectin, Liberia, Death Certificates, Interviews as Topic, Cause of Death, Onchocerciasis, Ocular, Population Surveillance, Surveys and Questionnaires, Humans, Autopsy, Retrospective Studies

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    33
    popularity
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    Top 10%
    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Top 10%
Top 1%
Top 10%
hybrid