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Sustaining PrEP Prescriptions at a Safety-Net Hospital in New York City During COVID-19: Lessons Learned

To understand the impact of COVID-19-related disruptions on PrEP services, we reviewed PrEP prescriptions at NYC Health + Hospitals/Bellevue from July 2019 through July 2021. PrEP prescriptions were examined as PrEP person-equivalents (PrEP PE) in order to account for the variable time of refill dur...

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Autores principales: Pitts, Robert A., Ban, Kaoon, Greene, Richard E., Kapadia, Farzana, Braithwaite, R. Scott
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825066/
https://www.ncbi.nlm.nih.gov/pubmed/36609708
http://dx.doi.org/10.1007/s10461-023-03977-6
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author Pitts, Robert A.
Ban, Kaoon
Greene, Richard E.
Kapadia, Farzana
Braithwaite, R. Scott
author_facet Pitts, Robert A.
Ban, Kaoon
Greene, Richard E.
Kapadia, Farzana
Braithwaite, R. Scott
author_sort Pitts, Robert A.
collection PubMed
description To understand the impact of COVID-19-related disruptions on PrEP services, we reviewed PrEP prescriptions at NYC Health + Hospitals/Bellevue from July 2019 through July 2021. PrEP prescriptions were examined as PrEP person-equivalents (PrEP PE) in order to account for the variable time of refill duration (i.e., 1–3 months). To assess “PrEP coverage”, we calculated PrEP medication possession ratios (MPR) while patients were under study observation. Pre-clinic closure, mean PrEP PE = 244.2 (IQR 189.2, 287.5; median = 252.5) were observed. Across levels of clinic closures, mean PrEP PE = 247.3, (IQR 215.5, 265.4; median = 219.9) during 100% clinic closure, 255.4 (IQR 224, 284.3; median = 249.0) during 80% closure, and 274.6 (IQR 273.0, 281.0; median = 277.2) during 50% closure were observed. Among patients continuously prescribed PrEP pre-COVID-19, the mean MPR mean declined from 83% (IQR 72–100%; median = 100%) to 63% (IQR 35–97%; median = 66%) after the onset of COVID-19. For patients newly initiated on PrEP after the onset of COVID-19, the mean MPR was 73% (IQR 41–100%; median = 100%). Our ability to sustain PrEP provisions, as measured by both PrEP PE and MPR, can likely be attributed to our pre-COVID-19 system for PrEP delivery, which emphasizes navigation, same-day initiation, and primary care integration. In the era of COVID-19 as well as future unforeseen healthcare disruptions, PrEP programs must be robust and flexible in order to sustain PrEP delivery.
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spelling pubmed-98250662023-01-09 Sustaining PrEP Prescriptions at a Safety-Net Hospital in New York City During COVID-19: Lessons Learned Pitts, Robert A. Ban, Kaoon Greene, Richard E. Kapadia, Farzana Braithwaite, R. Scott AIDS Behav Original Paper To understand the impact of COVID-19-related disruptions on PrEP services, we reviewed PrEP prescriptions at NYC Health + Hospitals/Bellevue from July 2019 through July 2021. PrEP prescriptions were examined as PrEP person-equivalents (PrEP PE) in order to account for the variable time of refill duration (i.e., 1–3 months). To assess “PrEP coverage”, we calculated PrEP medication possession ratios (MPR) while patients were under study observation. Pre-clinic closure, mean PrEP PE = 244.2 (IQR 189.2, 287.5; median = 252.5) were observed. Across levels of clinic closures, mean PrEP PE = 247.3, (IQR 215.5, 265.4; median = 219.9) during 100% clinic closure, 255.4 (IQR 224, 284.3; median = 249.0) during 80% closure, and 274.6 (IQR 273.0, 281.0; median = 277.2) during 50% closure were observed. Among patients continuously prescribed PrEP pre-COVID-19, the mean MPR mean declined from 83% (IQR 72–100%; median = 100%) to 63% (IQR 35–97%; median = 66%) after the onset of COVID-19. For patients newly initiated on PrEP after the onset of COVID-19, the mean MPR was 73% (IQR 41–100%; median = 100%). Our ability to sustain PrEP provisions, as measured by both PrEP PE and MPR, can likely be attributed to our pre-COVID-19 system for PrEP delivery, which emphasizes navigation, same-day initiation, and primary care integration. In the era of COVID-19 as well as future unforeseen healthcare disruptions, PrEP programs must be robust and flexible in order to sustain PrEP delivery. Springer US 2023-01-07 /pmc/articles/PMC9825066/ /pubmed/36609708 http://dx.doi.org/10.1007/s10461-023-03977-6 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Pitts, Robert A.
Ban, Kaoon
Greene, Richard E.
Kapadia, Farzana
Braithwaite, R. Scott
Sustaining PrEP Prescriptions at a Safety-Net Hospital in New York City During COVID-19: Lessons Learned
title Sustaining PrEP Prescriptions at a Safety-Net Hospital in New York City During COVID-19: Lessons Learned
title_full Sustaining PrEP Prescriptions at a Safety-Net Hospital in New York City During COVID-19: Lessons Learned
title_fullStr Sustaining PrEP Prescriptions at a Safety-Net Hospital in New York City During COVID-19: Lessons Learned
title_full_unstemmed Sustaining PrEP Prescriptions at a Safety-Net Hospital in New York City During COVID-19: Lessons Learned
title_short Sustaining PrEP Prescriptions at a Safety-Net Hospital in New York City During COVID-19: Lessons Learned
title_sort sustaining prep prescriptions at a safety-net hospital in new york city during covid-19: lessons learned
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825066/
https://www.ncbi.nlm.nih.gov/pubmed/36609708
http://dx.doi.org/10.1007/s10461-023-03977-6
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