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Optimizing Differentiated HIV Treatment Models in Urban Zimbabwe: Assessing Patient Preferences Using a Discrete Choice Experiment

Differentiated service delivery holds great promise for streamlining the delivery of health services for HIV. This study used a discrete choice experiment to assess preferences for differentiated HIV treatment delivery model characteristics among 500 virally suppressed adults on antiretroviral thera...

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Autores principales: Strauss, Michael, George, Gavin, Mantell, Joanne E., Mapingure, Munyaradzi, Masvawure, Tsitsi B., Lamb, Matthew R., Zech, Jennifer M., Musuka, Godfrey, Chingombe, Innocent, Msukwa, Martin, Boccanera, Rodrigo, Gwanzura, Clorata, Apollo, Tsitsi, Rabkin, Miriam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846512/
https://www.ncbi.nlm.nih.gov/pubmed/32812124
http://dx.doi.org/10.1007/s10461-020-02994-z
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author Strauss, Michael
George, Gavin
Mantell, Joanne E.
Mapingure, Munyaradzi
Masvawure, Tsitsi B.
Lamb, Matthew R.
Zech, Jennifer M.
Musuka, Godfrey
Chingombe, Innocent
Msukwa, Martin
Boccanera, Rodrigo
Gwanzura, Clorata
Apollo, Tsitsi
Rabkin, Miriam
author_facet Strauss, Michael
George, Gavin
Mantell, Joanne E.
Mapingure, Munyaradzi
Masvawure, Tsitsi B.
Lamb, Matthew R.
Zech, Jennifer M.
Musuka, Godfrey
Chingombe, Innocent
Msukwa, Martin
Boccanera, Rodrigo
Gwanzura, Clorata
Apollo, Tsitsi
Rabkin, Miriam
author_sort Strauss, Michael
collection PubMed
description Differentiated service delivery holds great promise for streamlining the delivery of health services for HIV. This study used a discrete choice experiment to assess preferences for differentiated HIV treatment delivery model characteristics among 500 virally suppressed adults on antiretroviral therapy in Harare, Zimbabwe. Treatment model characteristics included location, consultation type, healthcare worker cadre, operation times, visit frequency and duration, and cost. A mixed effects logit model was used for parameter estimates to identify potential preference heterogeneity among participants, and interaction effects were estimated for sex and age as potential sources of divergence in preferences. Results indicated that participants preferred health facility-based services, less frequent visits, individual consultations, shorter waiting times, lower cost and, delivered by respectful and understanding healthcare workers. Some preference heterogeneity was found, particularly for location of service delivery and group vs. individual models; however, this was not fully explained by sex and age characteristics of participants. In urban areas, facility-based models, such as the Fast Track model requiring less frequent clinic visits, are likely to better align with patient preferences than some of the other community-based or group models that have been implemented. As Zimbabwe scales up differentiated treatment models for stable patients, a clear understanding of patient preferences can help in designing services that will ensure optimal utilization and improve the efficiency of service delivery. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10461-020-02994-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-78465122021-02-11 Optimizing Differentiated HIV Treatment Models in Urban Zimbabwe: Assessing Patient Preferences Using a Discrete Choice Experiment Strauss, Michael George, Gavin Mantell, Joanne E. Mapingure, Munyaradzi Masvawure, Tsitsi B. Lamb, Matthew R. Zech, Jennifer M. Musuka, Godfrey Chingombe, Innocent Msukwa, Martin Boccanera, Rodrigo Gwanzura, Clorata Apollo, Tsitsi Rabkin, Miriam AIDS Behav Original Paper Differentiated service delivery holds great promise for streamlining the delivery of health services for HIV. This study used a discrete choice experiment to assess preferences for differentiated HIV treatment delivery model characteristics among 500 virally suppressed adults on antiretroviral therapy in Harare, Zimbabwe. Treatment model characteristics included location, consultation type, healthcare worker cadre, operation times, visit frequency and duration, and cost. A mixed effects logit model was used for parameter estimates to identify potential preference heterogeneity among participants, and interaction effects were estimated for sex and age as potential sources of divergence in preferences. Results indicated that participants preferred health facility-based services, less frequent visits, individual consultations, shorter waiting times, lower cost and, delivered by respectful and understanding healthcare workers. Some preference heterogeneity was found, particularly for location of service delivery and group vs. individual models; however, this was not fully explained by sex and age characteristics of participants. In urban areas, facility-based models, such as the Fast Track model requiring less frequent clinic visits, are likely to better align with patient preferences than some of the other community-based or group models that have been implemented. As Zimbabwe scales up differentiated treatment models for stable patients, a clear understanding of patient preferences can help in designing services that will ensure optimal utilization and improve the efficiency of service delivery. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10461-020-02994-z) contains supplementary material, which is available to authorized users. Springer US 2020-08-18 2021 /pmc/articles/PMC7846512/ /pubmed/32812124 http://dx.doi.org/10.1007/s10461-020-02994-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Paper
Strauss, Michael
George, Gavin
Mantell, Joanne E.
Mapingure, Munyaradzi
Masvawure, Tsitsi B.
Lamb, Matthew R.
Zech, Jennifer M.
Musuka, Godfrey
Chingombe, Innocent
Msukwa, Martin
Boccanera, Rodrigo
Gwanzura, Clorata
Apollo, Tsitsi
Rabkin, Miriam
Optimizing Differentiated HIV Treatment Models in Urban Zimbabwe: Assessing Patient Preferences Using a Discrete Choice Experiment
title Optimizing Differentiated HIV Treatment Models in Urban Zimbabwe: Assessing Patient Preferences Using a Discrete Choice Experiment
title_full Optimizing Differentiated HIV Treatment Models in Urban Zimbabwe: Assessing Patient Preferences Using a Discrete Choice Experiment
title_fullStr Optimizing Differentiated HIV Treatment Models in Urban Zimbabwe: Assessing Patient Preferences Using a Discrete Choice Experiment
title_full_unstemmed Optimizing Differentiated HIV Treatment Models in Urban Zimbabwe: Assessing Patient Preferences Using a Discrete Choice Experiment
title_short Optimizing Differentiated HIV Treatment Models in Urban Zimbabwe: Assessing Patient Preferences Using a Discrete Choice Experiment
title_sort optimizing differentiated hiv treatment models in urban zimbabwe: assessing patient preferences using a discrete choice experiment
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846512/
https://www.ncbi.nlm.nih.gov/pubmed/32812124
http://dx.doi.org/10.1007/s10461-020-02994-z
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