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State-level clustering in PrEP implementation factors among family planning clinics in the Southern United States

BACKGROUND: Availability of PrEP-providing clinics is low in the Southern U.S., a region at the center of the U.S. HIV epidemic with significant HIV disparities among minoritized populations, but little is known about state-level differences in PrEP implementation in the region. We explored state-le...

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Autores principales: Sheth, Anandi N., Enders, Kimberly P., McCumber, Micah, Psioda, Matthew A., Ramakrishnan, Aditi, Sales, Jessica M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10407092/
https://www.ncbi.nlm.nih.gov/pubmed/37559738
http://dx.doi.org/10.3389/fpubh.2023.1214411
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author Sheth, Anandi N.
Enders, Kimberly P.
McCumber, Micah
Psioda, Matthew A.
Ramakrishnan, Aditi
Sales, Jessica M.
author_facet Sheth, Anandi N.
Enders, Kimberly P.
McCumber, Micah
Psioda, Matthew A.
Ramakrishnan, Aditi
Sales, Jessica M.
author_sort Sheth, Anandi N.
collection PubMed
description BACKGROUND: Availability of PrEP-providing clinics is low in the Southern U.S., a region at the center of the U.S. HIV epidemic with significant HIV disparities among minoritized populations, but little is known about state-level differences in PrEP implementation in the region. We explored state-level clustering of organizational constructs relevant to PrEP implementation in family planning (FP) clinics in the Southern U.S. METHODS: We surveyed providers and administrators of FP clinics not providing PrEP in 18 Southern states (Feb-Jun 2018, N = 414 respondents from 224 clinics) on these constructs: readiness to implement PrEP, PrEP knowledge/attitudes, implementation climate, leadership engagement, and available resources. We analyzed each construct using linear mixed models. A principal component analysis identified six principal components, which were inputted into a K-means clustering analysis to examine state-level clustering. RESULTS: Three clusters (C1–3) were identified with five, three, and four states, respectively. Canonical variable 1 separated C1 and C2 from C3 and was primarily driven by PrEP readiness, HIV-specific implementation climate, PrEP-specific leadership engagement, PrEP attitudes, PrEP knowledge, and general resource availability. Canonical variable 2 distinguished C2 from C1 and was primarily driven by PrEP-specific resource availability, PrEP attitudes, and general implementation climate. All C3 states had expanded Medicaid, compared to 1 C1 state (none in C2). CONCLUSION: Constructs relevant for PrEP implementation exhibited state-level clustering, suggesting that tailored strategies could be used by clustered states to improve PrEP provision in FP clinics. Medicaid expansion was a common feature of states within C3, which could explain the similarity of their implementation constructs. The role of Medicaid expansion and state-level policies on PrEP implementation warrants further exploration.
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spelling pubmed-104070922023-08-09 State-level clustering in PrEP implementation factors among family planning clinics in the Southern United States Sheth, Anandi N. Enders, Kimberly P. McCumber, Micah Psioda, Matthew A. Ramakrishnan, Aditi Sales, Jessica M. Front Public Health Public Health BACKGROUND: Availability of PrEP-providing clinics is low in the Southern U.S., a region at the center of the U.S. HIV epidemic with significant HIV disparities among minoritized populations, but little is known about state-level differences in PrEP implementation in the region. We explored state-level clustering of organizational constructs relevant to PrEP implementation in family planning (FP) clinics in the Southern U.S. METHODS: We surveyed providers and administrators of FP clinics not providing PrEP in 18 Southern states (Feb-Jun 2018, N = 414 respondents from 224 clinics) on these constructs: readiness to implement PrEP, PrEP knowledge/attitudes, implementation climate, leadership engagement, and available resources. We analyzed each construct using linear mixed models. A principal component analysis identified six principal components, which were inputted into a K-means clustering analysis to examine state-level clustering. RESULTS: Three clusters (C1–3) were identified with five, three, and four states, respectively. Canonical variable 1 separated C1 and C2 from C3 and was primarily driven by PrEP readiness, HIV-specific implementation climate, PrEP-specific leadership engagement, PrEP attitudes, PrEP knowledge, and general resource availability. Canonical variable 2 distinguished C2 from C1 and was primarily driven by PrEP-specific resource availability, PrEP attitudes, and general implementation climate. All C3 states had expanded Medicaid, compared to 1 C1 state (none in C2). CONCLUSION: Constructs relevant for PrEP implementation exhibited state-level clustering, suggesting that tailored strategies could be used by clustered states to improve PrEP provision in FP clinics. Medicaid expansion was a common feature of states within C3, which could explain the similarity of their implementation constructs. The role of Medicaid expansion and state-level policies on PrEP implementation warrants further exploration. Frontiers Media S.A. 2023-07-25 /pmc/articles/PMC10407092/ /pubmed/37559738 http://dx.doi.org/10.3389/fpubh.2023.1214411 Text en Copyright © 2023 Sheth, Enders, McCumber, Psioda, Ramakrishnan and Sales. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Sheth, Anandi N.
Enders, Kimberly P.
McCumber, Micah
Psioda, Matthew A.
Ramakrishnan, Aditi
Sales, Jessica M.
State-level clustering in PrEP implementation factors among family planning clinics in the Southern United States
title State-level clustering in PrEP implementation factors among family planning clinics in the Southern United States
title_full State-level clustering in PrEP implementation factors among family planning clinics in the Southern United States
title_fullStr State-level clustering in PrEP implementation factors among family planning clinics in the Southern United States
title_full_unstemmed State-level clustering in PrEP implementation factors among family planning clinics in the Southern United States
title_short State-level clustering in PrEP implementation factors among family planning clinics in the Southern United States
title_sort state-level clustering in prep implementation factors among family planning clinics in the southern united states
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10407092/
https://www.ncbi.nlm.nih.gov/pubmed/37559738
http://dx.doi.org/10.3389/fpubh.2023.1214411
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