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Patient-mix, programmatic characteristics, retention and predictors of attrition among patients starting antiretroviral therapy (ART) before and after the implementation of HIV “Treat All” in Zimbabwe
BACKGROUND: Since the scale-up of the HIV “Treat All” recommendation, evidence on its real-world effect on predictors of attrition (either death or lost to follow-up) is lacking. We conducted a retrospective study using Zimbabwe ART program data to assess the association between “Treat All” and, pat...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571688/ https://www.ncbi.nlm.nih.gov/pubmed/33075094 http://dx.doi.org/10.1371/journal.pone.0240865 |
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author | Makurumidze, Richard Buyze, Jozefien Decroo, Tom Lynen, Lutgarde de Rooij, Madelon Mataranyika, Trevor Sithole, Ngwarai Takarinda, Kudakwashe C. Apollo, Tsitsi Hakim, James Van Damme, Wim Rusakaniko, Simbarashe |
author_facet | Makurumidze, Richard Buyze, Jozefien Decroo, Tom Lynen, Lutgarde de Rooij, Madelon Mataranyika, Trevor Sithole, Ngwarai Takarinda, Kudakwashe C. Apollo, Tsitsi Hakim, James Van Damme, Wim Rusakaniko, Simbarashe |
author_sort | Makurumidze, Richard |
collection | PubMed |
description | BACKGROUND: Since the scale-up of the HIV “Treat All” recommendation, evidence on its real-world effect on predictors of attrition (either death or lost to follow-up) is lacking. We conducted a retrospective study using Zimbabwe ART program data to assess the association between “Treat All” and, patient-mix, programmatic characteristics, retention and predictors of attrition. METHODS: We used patient-level data from the electronic patient monitoring system (ePMS) from the nine districts, which piloted the “Treat All” recommendation. We compared patient-mix, programme characteristics, retention and predictors of attrition (lost to follow-up, death or stopping ART) in two cohorts; before (April/May 2016) and after (January/February 2017) “Treat All”. Retention was estimated using survival analysis. Predictors of attrition were determined using a multivariable Cox regression model. Interactions were used to assess the change in predictors of attrition before and after “Treat All”. RESULTS: We analysed 3787 patients, 1738 (45.9%) and 2049 (54.1%) started ART before and after “Treat All”, respectively. The proportion of men was higher after “Treat All” (39.4.% vs 36.2%, p = 0.044). Same-day ART initiation was more frequent after “Treat All” (43.2% vs 16.4%; p<0.001) than before. Retention on ART was higher before “Treat All” (p<0.001). Among non-pregnant women and men, the adjusted hazard ratio (aHR) of attrition after compared to before “Treat All” was 1.73 (95%CI: 1.30–2.31). The observed hazard of attrition for women being pregnant at ART initiation decreased by 17% (aHR: 1.73*0.48 = 0.83) after “Treat All”. Being male (vs female; aHR: 1.45; 95%CI: 1.12–1.87) and WHO Stage IV (vs WHO Stage I-III; aHR: 2.89; 95%CI: 1.16–7.11) predicted attrition both before and after “Treat All” implementation. CONCLUSION: Attrition was higher after “Treat All”; being male, WHO Stage 4, and pregnancy predicted attrition in both before and after Treat All. However, pregnancy became a less strong risk factor for attrition after “Treat All” implementation. |
format | Online Article Text |
id | pubmed-7571688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-75716882020-10-26 Patient-mix, programmatic characteristics, retention and predictors of attrition among patients starting antiretroviral therapy (ART) before and after the implementation of HIV “Treat All” in Zimbabwe Makurumidze, Richard Buyze, Jozefien Decroo, Tom Lynen, Lutgarde de Rooij, Madelon Mataranyika, Trevor Sithole, Ngwarai Takarinda, Kudakwashe C. Apollo, Tsitsi Hakim, James Van Damme, Wim Rusakaniko, Simbarashe PLoS One Research Article BACKGROUND: Since the scale-up of the HIV “Treat All” recommendation, evidence on its real-world effect on predictors of attrition (either death or lost to follow-up) is lacking. We conducted a retrospective study using Zimbabwe ART program data to assess the association between “Treat All” and, patient-mix, programmatic characteristics, retention and predictors of attrition. METHODS: We used patient-level data from the electronic patient monitoring system (ePMS) from the nine districts, which piloted the “Treat All” recommendation. We compared patient-mix, programme characteristics, retention and predictors of attrition (lost to follow-up, death or stopping ART) in two cohorts; before (April/May 2016) and after (January/February 2017) “Treat All”. Retention was estimated using survival analysis. Predictors of attrition were determined using a multivariable Cox regression model. Interactions were used to assess the change in predictors of attrition before and after “Treat All”. RESULTS: We analysed 3787 patients, 1738 (45.9%) and 2049 (54.1%) started ART before and after “Treat All”, respectively. The proportion of men was higher after “Treat All” (39.4.% vs 36.2%, p = 0.044). Same-day ART initiation was more frequent after “Treat All” (43.2% vs 16.4%; p<0.001) than before. Retention on ART was higher before “Treat All” (p<0.001). Among non-pregnant women and men, the adjusted hazard ratio (aHR) of attrition after compared to before “Treat All” was 1.73 (95%CI: 1.30–2.31). The observed hazard of attrition for women being pregnant at ART initiation decreased by 17% (aHR: 1.73*0.48 = 0.83) after “Treat All”. Being male (vs female; aHR: 1.45; 95%CI: 1.12–1.87) and WHO Stage IV (vs WHO Stage I-III; aHR: 2.89; 95%CI: 1.16–7.11) predicted attrition both before and after “Treat All” implementation. CONCLUSION: Attrition was higher after “Treat All”; being male, WHO Stage 4, and pregnancy predicted attrition in both before and after Treat All. However, pregnancy became a less strong risk factor for attrition after “Treat All” implementation. Public Library of Science 2020-10-19 /pmc/articles/PMC7571688/ /pubmed/33075094 http://dx.doi.org/10.1371/journal.pone.0240865 Text en © 2020 Makurumidze 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Makurumidze, Richard Buyze, Jozefien Decroo, Tom Lynen, Lutgarde de Rooij, Madelon Mataranyika, Trevor Sithole, Ngwarai Takarinda, Kudakwashe C. Apollo, Tsitsi Hakim, James Van Damme, Wim Rusakaniko, Simbarashe Patient-mix, programmatic characteristics, retention and predictors of attrition among patients starting antiretroviral therapy (ART) before and after the implementation of HIV “Treat All” in Zimbabwe |
title | Patient-mix, programmatic characteristics, retention and predictors of attrition among patients starting antiretroviral therapy (ART) before and after the implementation of HIV “Treat All” in Zimbabwe |
title_full | Patient-mix, programmatic characteristics, retention and predictors of attrition among patients starting antiretroviral therapy (ART) before and after the implementation of HIV “Treat All” in Zimbabwe |
title_fullStr | Patient-mix, programmatic characteristics, retention and predictors of attrition among patients starting antiretroviral therapy (ART) before and after the implementation of HIV “Treat All” in Zimbabwe |
title_full_unstemmed | Patient-mix, programmatic characteristics, retention and predictors of attrition among patients starting antiretroviral therapy (ART) before and after the implementation of HIV “Treat All” in Zimbabwe |
title_short | Patient-mix, programmatic characteristics, retention and predictors of attrition among patients starting antiretroviral therapy (ART) before and after the implementation of HIV “Treat All” in Zimbabwe |
title_sort | patient-mix, programmatic characteristics, retention and predictors of attrition among patients starting antiretroviral therapy (art) before and after the implementation of hiv “treat all” in zimbabwe |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571688/ https://www.ncbi.nlm.nih.gov/pubmed/33075094 http://dx.doi.org/10.1371/journal.pone.0240865 |
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