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Increasing the initiation of antiretroviral therapy through optimal placement of diagnostic technologies for pediatric HIV in Zimbabwe: A modeling analysis

OBJECTIVES: Point-of-care (POC) devices for infant HIV testing provide timely result-return and increase antiretroviral (ART) initiation. We aimed to optimally locate POC devices to increase 30-day ART initiation in Matabeleland South, Zimbabwe. METHODS: We developed an optimization model to identif...

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Autores principales: Yildirim, Melike, Webb, Karen A., Ciaranello, Andrea L., Amick, Alyssa K., Mushavi, Angela, Chimwaza, Anesu, Claypool, Anneke, Murape, Tendayi, McCann, Nicole C., Flanagan, Clare F., Jalali, Mohammad S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520845/
https://www.ncbi.nlm.nih.gov/pubmed/37196759
http://dx.doi.org/10.1016/j.ijid.2023.05.013
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author Yildirim, Melike
Webb, Karen A.
Ciaranello, Andrea L.
Amick, Alyssa K.
Mushavi, Angela
Chimwaza, Anesu
Claypool, Anneke
Murape, Tendayi
McCann, Nicole C.
Flanagan, Clare F.
Jalali, Mohammad S.
author_facet Yildirim, Melike
Webb, Karen A.
Ciaranello, Andrea L.
Amick, Alyssa K.
Mushavi, Angela
Chimwaza, Anesu
Claypool, Anneke
Murape, Tendayi
McCann, Nicole C.
Flanagan, Clare F.
Jalali, Mohammad S.
author_sort Yildirim, Melike
collection PubMed
description OBJECTIVES: Point-of-care (POC) devices for infant HIV testing provide timely result-return and increase antiretroviral (ART) initiation. We aimed to optimally locate POC devices to increase 30-day ART initiation in Matabeleland South, Zimbabwe. METHODS: We developed an optimization model to identify the locations for limited POC devices at health facilities, maximizing the number of infants who receive HIV test results and initiate ART within 30 days of testing. We compared location-optimization model results to non-model-based decision heuristics, which are more practical and less data-intensive. Heuristics assign POC devices based on demand, test positivity, laboratory result-return probability, and POC machine functionality. RESULTS: With the current placement of 11 existing POC machines, 37% of all tested infants with HIV were projected to receive results and 35% were projected to initiate ART within 30 days of testing. With optimal placement of existing machines, 46% were projected to receive results and 44% to initiate ART within 30 days, retaining three machines in current locations, moving eight to new facilities. Relocation based on the highest POC device functionality would be the best-performing heuristic decision (44% receiving results and 42% initiating ART withing 30 days); although, it still would not perform as well as the optimization-based approach. CONCLUSION: Optimal and ad hoc heuristic relocation of limited POC machines would increase timely result-return and ART initiation, without further, often costly, interventions. Location optimization can enhance decision-making regarding the placement of medical technologies for HIV care.
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spelling pubmed-105208452023-09-26 Increasing the initiation of antiretroviral therapy through optimal placement of diagnostic technologies for pediatric HIV in Zimbabwe: A modeling analysis Yildirim, Melike Webb, Karen A. Ciaranello, Andrea L. Amick, Alyssa K. Mushavi, Angela Chimwaza, Anesu Claypool, Anneke Murape, Tendayi McCann, Nicole C. Flanagan, Clare F. Jalali, Mohammad S. Int J Infect Dis Article OBJECTIVES: Point-of-care (POC) devices for infant HIV testing provide timely result-return and increase antiretroviral (ART) initiation. We aimed to optimally locate POC devices to increase 30-day ART initiation in Matabeleland South, Zimbabwe. METHODS: We developed an optimization model to identify the locations for limited POC devices at health facilities, maximizing the number of infants who receive HIV test results and initiate ART within 30 days of testing. We compared location-optimization model results to non-model-based decision heuristics, which are more practical and less data-intensive. Heuristics assign POC devices based on demand, test positivity, laboratory result-return probability, and POC machine functionality. RESULTS: With the current placement of 11 existing POC machines, 37% of all tested infants with HIV were projected to receive results and 35% were projected to initiate ART within 30 days of testing. With optimal placement of existing machines, 46% were projected to receive results and 44% to initiate ART within 30 days, retaining three machines in current locations, moving eight to new facilities. Relocation based on the highest POC device functionality would be the best-performing heuristic decision (44% receiving results and 42% initiating ART withing 30 days); although, it still would not perform as well as the optimization-based approach. CONCLUSION: Optimal and ad hoc heuristic relocation of limited POC machines would increase timely result-return and ART initiation, without further, often costly, interventions. Location optimization can enhance decision-making regarding the placement of medical technologies for HIV care. 2023-09 2023-05-16 /pmc/articles/PMC10520845/ /pubmed/37196759 http://dx.doi.org/10.1016/j.ijid.2023.05.013 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Article
Yildirim, Melike
Webb, Karen A.
Ciaranello, Andrea L.
Amick, Alyssa K.
Mushavi, Angela
Chimwaza, Anesu
Claypool, Anneke
Murape, Tendayi
McCann, Nicole C.
Flanagan, Clare F.
Jalali, Mohammad S.
Increasing the initiation of antiretroviral therapy through optimal placement of diagnostic technologies for pediatric HIV in Zimbabwe: A modeling analysis
title Increasing the initiation of antiretroviral therapy through optimal placement of diagnostic technologies for pediatric HIV in Zimbabwe: A modeling analysis
title_full Increasing the initiation of antiretroviral therapy through optimal placement of diagnostic technologies for pediatric HIV in Zimbabwe: A modeling analysis
title_fullStr Increasing the initiation of antiretroviral therapy through optimal placement of diagnostic technologies for pediatric HIV in Zimbabwe: A modeling analysis
title_full_unstemmed Increasing the initiation of antiretroviral therapy through optimal placement of diagnostic technologies for pediatric HIV in Zimbabwe: A modeling analysis
title_short Increasing the initiation of antiretroviral therapy through optimal placement of diagnostic technologies for pediatric HIV in Zimbabwe: A modeling analysis
title_sort increasing the initiation of antiretroviral therapy through optimal placement of diagnostic technologies for pediatric hiv in zimbabwe: a modeling analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520845/
https://www.ncbi.nlm.nih.gov/pubmed/37196759
http://dx.doi.org/10.1016/j.ijid.2023.05.013
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