Document Detail


On the validity of self-reports and indirect reports to ascertain malaria prevalence in settings of hypoendemicity.
MedLine Citation:
PMID:  21257247     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Self-reports are commonly used to ascertain malaria prevalence in epidemiological studies conducted in settings where laboratory diagnosis is impractical. Most studies, however, do not use self-report per se, but indirect report, where one respondent provides responses for all household members. Studies also vary in terms of the time frame used for this ascertainment. The aim of our research was to determine the validity of self-report and indirect report in ascertaining malaria prevalence over six, eighteen and thirty-month time periods. Reports of malaria episodes collected through interviewer-administered questionnaires (193 self-reports, 614 indirect reports) were compared to microscopy-confirmed cases (principally Plasmodium vivax) registered at a government-run health post in the Peruvian Amazon. Test parameters were estimated using a Bayesian latent class approach for imperfect gold standards. Logistic regression analyses were performed to explore determinants associated with accurate responses. Malaria self-report for the thirty-month period prevalence had the highest sensitivity (91.0%). Specificity was maximized when malaria prevalence was measured over the last six months for both self-report (91.6%) and indirect report (96.7%). Accuracy was highest for the six-month period prevalence in both self-report (91.3%) and indirect report (96.4%). Respondents who were female, had more education, or who provided a report on behalf of a child ≤12 years of age, were generally more accurate. Both self-report and indirect report provides accurate estimates of malaria prevalence, especially over shorter periods of time. The choice between self-report and indirect report should ultimately depend on the research question and the target study population.
Authors:
Mathieu Maheu-Giroux; Martín Casapía; Theresa W Gyorkos
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2010-12-16
Journal Detail:
Title:  Social science & medicine (1982)     Volume:  -     ISSN:  1873-5347     ISO Abbreviation:  -     Publication Date:  2010 Dec 
Date Detail:
Created Date:  2011-1-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8303205     Medline TA:  Soc Sci Med     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2010 Elsevier Ltd. All rights reserved.
Affiliation:
Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada; Division of Clinical Epidemiology, Research Institute of the McGill University Health Centre, Royal Victoria Hospital Campus, V Building, 687 Pine Avenue West, Montréal, QC, Canada H3A 1A1.
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