HIV testing in national population-based surveys: experience from the Demographic and Health Surveys

OBJECTIVES: To describe the methods used in the Demographic and Health Surveys (DHS) to collect nationally representative data on the prevalence of human immunodeficiency virus (HIV) and assess the value of such data to country HIV surveillance systems. METHODS: During 2001-04, national samples of a...

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Main Authors: Vinod Mishra, Martin Vaessen, J Ties Boerma, Fred Arnold, Ann Way, Bernard Barrere, Anne Cross, Rathavuth Hong, Jasbir Sangha
Format: Article
Language:English
Published: The World Health Organization 2006-07-01
Series:Bulletin of the World Health Organization
Online Access:http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0042-96862006000700015&lng=en&tlng=en
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author Vinod Mishra
Martin Vaessen
J Ties Boerma
Fred Arnold
Ann Way
Bernard Barrere
Anne Cross
Rathavuth Hong
Jasbir Sangha
author_facet Vinod Mishra
Martin Vaessen
J Ties Boerma
Fred Arnold
Ann Way
Bernard Barrere
Anne Cross
Rathavuth Hong
Jasbir Sangha
author_sort Vinod Mishra
collection DOAJ
description OBJECTIVES: To describe the methods used in the Demographic and Health Surveys (DHS) to collect nationally representative data on the prevalence of human immunodeficiency virus (HIV) and assess the value of such data to country HIV surveillance systems. METHODS: During 2001-04, national samples of adult women and men in Burkina Faso, Cameroon, Dominican Republic, Ghana, Mali, Kenya, United Republic of Tanzania and Zambia were tested for HIV. Dried blood spot samples were collected for HIV testing, following internationally accepted ethical standards. The results for each country are presented by age, sex, and urban versus rural residence. To estimate the effects of non-response, HIV prevalence among non-responding males and females was predicted using multivariate statistical models for those who were tested, with a common set of predictor variables. RESULTS: Rates of HIV testing varied from 70% among Kenyan men to 92% among women in Burkina Faso and Cameroon. Despite large differences in HIV prevalence between the surveys (1-16%), fairly consistent patterns of HIV infection were observed by age, sex and urban versus rural residence, with considerably higher rates in urban areas and in women, especially at younger ages. Analysis of non-response bias indicates that although predicted HIV prevalence tended to be higher in non-tested males and females than in those tested, the overall effects of non-response on the observed national estimates of HIV prevalence are insignificant. CONCLUSIONS: Population-based surveys can provide reliable, direct estimates of national and regional HIV seroprevalence among men and women irrespective of pregnancy status. Survey data greatly enhance surveillance systems and the accuracy of national estimates in generalized epidemics.
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spelling doaj.art-c6622a6680374a57bfcdb8e255cd28f82024-03-02T01:03:03ZengThe World Health OrganizationBulletin of the World Health Organization0042-96862006-07-01847537545S0042-96862006000700015HIV testing in national population-based surveys: experience from the Demographic and Health SurveysVinod Mishra0Martin Vaessen1J Ties Boerma2Fred Arnold3Ann Way4Bernard Barrere5Anne Cross6Rathavuth Hong7Jasbir Sangha8ORC MacroORC MacroWorld Health OrganizationORC MacroORC MacroORC MacroORC MacroORC MacroORC MacroOBJECTIVES: To describe the methods used in the Demographic and Health Surveys (DHS) to collect nationally representative data on the prevalence of human immunodeficiency virus (HIV) and assess the value of such data to country HIV surveillance systems. METHODS: During 2001-04, national samples of adult women and men in Burkina Faso, Cameroon, Dominican Republic, Ghana, Mali, Kenya, United Republic of Tanzania and Zambia were tested for HIV. Dried blood spot samples were collected for HIV testing, following internationally accepted ethical standards. The results for each country are presented by age, sex, and urban versus rural residence. To estimate the effects of non-response, HIV prevalence among non-responding males and females was predicted using multivariate statistical models for those who were tested, with a common set of predictor variables. RESULTS: Rates of HIV testing varied from 70% among Kenyan men to 92% among women in Burkina Faso and Cameroon. Despite large differences in HIV prevalence between the surveys (1-16%), fairly consistent patterns of HIV infection were observed by age, sex and urban versus rural residence, with considerably higher rates in urban areas and in women, especially at younger ages. Analysis of non-response bias indicates that although predicted HIV prevalence tended to be higher in non-tested males and females than in those tested, the overall effects of non-response on the observed national estimates of HIV prevalence are insignificant. CONCLUSIONS: Population-based surveys can provide reliable, direct estimates of national and regional HIV seroprevalence among men and women irrespective of pregnancy status. Survey data greatly enhance surveillance systems and the accuracy of national estimates in generalized epidemics.http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0042-96862006000700015&lng=en&tlng=en
spellingShingle Vinod Mishra
Martin Vaessen
J Ties Boerma
Fred Arnold
Ann Way
Bernard Barrere
Anne Cross
Rathavuth Hong
Jasbir Sangha
HIV testing in national population-based surveys: experience from the Demographic and Health Surveys
Bulletin of the World Health Organization
title HIV testing in national population-based surveys: experience from the Demographic and Health Surveys
title_full HIV testing in national population-based surveys: experience from the Demographic and Health Surveys
title_fullStr HIV testing in national population-based surveys: experience from the Demographic and Health Surveys
title_full_unstemmed HIV testing in national population-based surveys: experience from the Demographic and Health Surveys
title_short HIV testing in national population-based surveys: experience from the Demographic and Health Surveys
title_sort hiv testing in national population based surveys experience from the demographic and health surveys
url http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0042-96862006000700015&lng=en&tlng=en
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