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Mobile HIV Screening in Cape Town, South Africa: Clinical Impact, Cost and Cost-Effectiveness

BACKGROUND: Mobile HIV screening may facilitate early HIV diagnosis. Our objective was to examine the cost-effectiveness of adding a mobile screening unit to current medical facility-based HIV testing in Cape Town, South Africa. METHODS AND FINDINGS: We used the Cost Effectiveness of Preventing AIDS...

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Autores principales: Bassett, Ingrid V., Govindasamy, Darshini, Erlwanger, Alison S., Hyle, Emily P., Kranzer, Katharina, van Schaik, Nienke, Noubary, Farzad, Paltiel, A. David, Wood, Robin, Walensky, Rochelle P., Losina, Elena, Bekker, Linda-Gail, Freedberg, Kenneth A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3898963/
https://www.ncbi.nlm.nih.gov/pubmed/24465503
http://dx.doi.org/10.1371/journal.pone.0085197
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author Bassett, Ingrid V.
Govindasamy, Darshini
Erlwanger, Alison S.
Hyle, Emily P.
Kranzer, Katharina
van Schaik, Nienke
Noubary, Farzad
Paltiel, A. David
Wood, Robin
Walensky, Rochelle P.
Losina, Elena
Bekker, Linda-Gail
Freedberg, Kenneth A.
author_facet Bassett, Ingrid V.
Govindasamy, Darshini
Erlwanger, Alison S.
Hyle, Emily P.
Kranzer, Katharina
van Schaik, Nienke
Noubary, Farzad
Paltiel, A. David
Wood, Robin
Walensky, Rochelle P.
Losina, Elena
Bekker, Linda-Gail
Freedberg, Kenneth A.
author_sort Bassett, Ingrid V.
collection PubMed
description BACKGROUND: Mobile HIV screening may facilitate early HIV diagnosis. Our objective was to examine the cost-effectiveness of adding a mobile screening unit to current medical facility-based HIV testing in Cape Town, South Africa. METHODS AND FINDINGS: We used the Cost Effectiveness of Preventing AIDS Complications International (CEPAC-I) computer simulation model to evaluate two HIV screening strategies in Cape Town: 1) medical facility-based testing (the current standard of care) and 2) addition of a mobile HIV-testing unit intervention in the same community. Baseline input parameters were derived from a Cape Town-based mobile unit that tested 18,870 individuals over 2 years: prevalence of previously undiagnosed HIV (6.6%), mean CD4 count at diagnosis (males 423/µL, females 516/µL), CD4 count-dependent linkage to care rates (males 31%–58%, females 49%–58%), mobile unit intervention cost (includes acquisition, operation and HIV test costs, $29.30 per negative result and $31.30 per positive result). We conducted extensive sensitivity analyses to evaluate input uncertainty. Model outcomes included site of HIV diagnosis, life expectancy, medical costs, and the incremental cost-effectiveness ratio (ICER) of the intervention compared to medical facility-based testing. We considered the intervention to be “very cost-effective” when the ICER was less than South Africa's annual per capita Gross Domestic Product (GDP) ($8,200 in 2012). We projected that, with medical facility-based testing, the discounted (undiscounted) HIV-infected population life expectancy was 132.2 (197.7) months; this increased to 140.7 (211.7) months with the addition of the mobile unit. The ICER for the mobile unit was $2,400/year of life saved (YLS). Results were most sensitive to the previously undiagnosed HIV prevalence, linkage to care rates, and frequency of HIV testing at medical facilities. CONCLUSION: The addition of mobile HIV screening to current testing programs can improve survival and be very cost-effective in South Africa and other resource-limited settings, and should be a priority.
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spelling pubmed-38989632014-01-24 Mobile HIV Screening in Cape Town, South Africa: Clinical Impact, Cost and Cost-Effectiveness Bassett, Ingrid V. Govindasamy, Darshini Erlwanger, Alison S. Hyle, Emily P. Kranzer, Katharina van Schaik, Nienke Noubary, Farzad Paltiel, A. David Wood, Robin Walensky, Rochelle P. Losina, Elena Bekker, Linda-Gail Freedberg, Kenneth A. PLoS One Research Article BACKGROUND: Mobile HIV screening may facilitate early HIV diagnosis. Our objective was to examine the cost-effectiveness of adding a mobile screening unit to current medical facility-based HIV testing in Cape Town, South Africa. METHODS AND FINDINGS: We used the Cost Effectiveness of Preventing AIDS Complications International (CEPAC-I) computer simulation model to evaluate two HIV screening strategies in Cape Town: 1) medical facility-based testing (the current standard of care) and 2) addition of a mobile HIV-testing unit intervention in the same community. Baseline input parameters were derived from a Cape Town-based mobile unit that tested 18,870 individuals over 2 years: prevalence of previously undiagnosed HIV (6.6%), mean CD4 count at diagnosis (males 423/µL, females 516/µL), CD4 count-dependent linkage to care rates (males 31%–58%, females 49%–58%), mobile unit intervention cost (includes acquisition, operation and HIV test costs, $29.30 per negative result and $31.30 per positive result). We conducted extensive sensitivity analyses to evaluate input uncertainty. Model outcomes included site of HIV diagnosis, life expectancy, medical costs, and the incremental cost-effectiveness ratio (ICER) of the intervention compared to medical facility-based testing. We considered the intervention to be “very cost-effective” when the ICER was less than South Africa's annual per capita Gross Domestic Product (GDP) ($8,200 in 2012). We projected that, with medical facility-based testing, the discounted (undiscounted) HIV-infected population life expectancy was 132.2 (197.7) months; this increased to 140.7 (211.7) months with the addition of the mobile unit. The ICER for the mobile unit was $2,400/year of life saved (YLS). Results were most sensitive to the previously undiagnosed HIV prevalence, linkage to care rates, and frequency of HIV testing at medical facilities. CONCLUSION: The addition of mobile HIV screening to current testing programs can improve survival and be very cost-effective in South Africa and other resource-limited settings, and should be a priority. Public Library of Science 2014-01-22 /pmc/articles/PMC3898963/ /pubmed/24465503 http://dx.doi.org/10.1371/journal.pone.0085197 Text en © 2014 Bassett et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Bassett, Ingrid V.
Govindasamy, Darshini
Erlwanger, Alison S.
Hyle, Emily P.
Kranzer, Katharina
van Schaik, Nienke
Noubary, Farzad
Paltiel, A. David
Wood, Robin
Walensky, Rochelle P.
Losina, Elena
Bekker, Linda-Gail
Freedberg, Kenneth A.
Mobile HIV Screening in Cape Town, South Africa: Clinical Impact, Cost and Cost-Effectiveness
title Mobile HIV Screening in Cape Town, South Africa: Clinical Impact, Cost and Cost-Effectiveness
title_full Mobile HIV Screening in Cape Town, South Africa: Clinical Impact, Cost and Cost-Effectiveness
title_fullStr Mobile HIV Screening in Cape Town, South Africa: Clinical Impact, Cost and Cost-Effectiveness
title_full_unstemmed Mobile HIV Screening in Cape Town, South Africa: Clinical Impact, Cost and Cost-Effectiveness
title_short Mobile HIV Screening in Cape Town, South Africa: Clinical Impact, Cost and Cost-Effectiveness
title_sort mobile hiv screening in cape town, south africa: clinical impact, cost and cost-effectiveness
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3898963/
https://www.ncbi.nlm.nih.gov/pubmed/24465503
http://dx.doi.org/10.1371/journal.pone.0085197
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