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The relationship between community public health, behavioral health service accessibility, and mass incarceration

BACKGROUND: The relationship between healthcare service accessibility in the community and incarceration is an important, yet not widely understood, phenomenon. Community behavioral health and the criminal legal systems are treated separately, which creates a competing demand to confront mass incarc...

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Autores principales: Ramezani, Niloofar, Breno, Alex J., Mackey, Benjamin J., Viglione, Jill, Cuellar, Alison Evans, Johnson, Jennifer E., Taxman, Faye S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9336014/
https://www.ncbi.nlm.nih.gov/pubmed/35906627
http://dx.doi.org/10.1186/s12913-022-08306-6
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author Ramezani, Niloofar
Breno, Alex J.
Mackey, Benjamin J.
Viglione, Jill
Cuellar, Alison Evans
Johnson, Jennifer E.
Taxman, Faye S.
author_facet Ramezani, Niloofar
Breno, Alex J.
Mackey, Benjamin J.
Viglione, Jill
Cuellar, Alison Evans
Johnson, Jennifer E.
Taxman, Faye S.
author_sort Ramezani, Niloofar
collection PubMed
description BACKGROUND: The relationship between healthcare service accessibility in the community and incarceration is an important, yet not widely understood, phenomenon. Community behavioral health and the criminal legal systems are treated separately, which creates a competing demand to confront mass incarceration and expand available services. As a result, the relationship between behavioral health services, demographics and community factors, and incarceration rate has not been well addressed. Understanding potential drivers of incarceration, including access to community-based services, is necessary to reduce entry into the legal system and decrease recidivism. This study identifies county-level demographic, socioeconomic, healthcare services availability/accessibility, and criminal legal characteristics that predict per capita jail population across the U.S. More than 10 million individuals pass through U.S. jails each year, increasing the urgency of addressing this challenge. METHODS: The selection of variables for our model proceeded in stages. The study commenced by identifying potential descriptors and then using machine learning techniques to select non-collinear variables to predict county jail population per capita. Beta regression was then applied to nationally available data from all 3,141 U.S. counties to identify factors predicting county jail population size. Data sources include the Vera Institute’s incarceration database, Robert Wood Johnson Foundation’s County Health Rankings and Roadmaps, Uniform Crime Report, and the U.S. Census. RESULTS: Fewer per capita psychiatrists (z-score = -2.16; p = .031), lower percent of drug treatment paid by Medicaid (-3.66; p < .001), higher per capita healthcare costs (5.71; p < .001), higher number of physically unhealthy days in a month (8.6; p < .001), lower high school graduation rate (-4.05; p < .001), smaller county size (-2.66, p = .008; -2.71, p = .007; medium and large versus small counties, respectively), and more police officers per capita (8.74; p < .001) were associated with higher per capita jail population. Controlling for other factors, violent crime rate did not predict incarceration rate. CONCLUSIONS: Counties with smaller populations, larger percentages of individuals that did not graduate high school, that have more health-related issues, and provide fewer community treatment services are more likely to have higher jail population per capita. Increasing access to services, including mental health providers, and improving the affordability of drug treatment and healthcare may help reduce incarceration rates.
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spelling pubmed-93360142022-07-30 The relationship between community public health, behavioral health service accessibility, and mass incarceration Ramezani, Niloofar Breno, Alex J. Mackey, Benjamin J. Viglione, Jill Cuellar, Alison Evans Johnson, Jennifer E. Taxman, Faye S. BMC Health Serv Res Research Article BACKGROUND: The relationship between healthcare service accessibility in the community and incarceration is an important, yet not widely understood, phenomenon. Community behavioral health and the criminal legal systems are treated separately, which creates a competing demand to confront mass incarceration and expand available services. As a result, the relationship between behavioral health services, demographics and community factors, and incarceration rate has not been well addressed. Understanding potential drivers of incarceration, including access to community-based services, is necessary to reduce entry into the legal system and decrease recidivism. This study identifies county-level demographic, socioeconomic, healthcare services availability/accessibility, and criminal legal characteristics that predict per capita jail population across the U.S. More than 10 million individuals pass through U.S. jails each year, increasing the urgency of addressing this challenge. METHODS: The selection of variables for our model proceeded in stages. The study commenced by identifying potential descriptors and then using machine learning techniques to select non-collinear variables to predict county jail population per capita. Beta regression was then applied to nationally available data from all 3,141 U.S. counties to identify factors predicting county jail population size. Data sources include the Vera Institute’s incarceration database, Robert Wood Johnson Foundation’s County Health Rankings and Roadmaps, Uniform Crime Report, and the U.S. Census. RESULTS: Fewer per capita psychiatrists (z-score = -2.16; p = .031), lower percent of drug treatment paid by Medicaid (-3.66; p < .001), higher per capita healthcare costs (5.71; p < .001), higher number of physically unhealthy days in a month (8.6; p < .001), lower high school graduation rate (-4.05; p < .001), smaller county size (-2.66, p = .008; -2.71, p = .007; medium and large versus small counties, respectively), and more police officers per capita (8.74; p < .001) were associated with higher per capita jail population. Controlling for other factors, violent crime rate did not predict incarceration rate. CONCLUSIONS: Counties with smaller populations, larger percentages of individuals that did not graduate high school, that have more health-related issues, and provide fewer community treatment services are more likely to have higher jail population per capita. Increasing access to services, including mental health providers, and improving the affordability of drug treatment and healthcare may help reduce incarceration rates. BioMed Central 2022-07-29 /pmc/articles/PMC9336014/ /pubmed/35906627 http://dx.doi.org/10.1186/s12913-022-08306-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Ramezani, Niloofar
Breno, Alex J.
Mackey, Benjamin J.
Viglione, Jill
Cuellar, Alison Evans
Johnson, Jennifer E.
Taxman, Faye S.
The relationship between community public health, behavioral health service accessibility, and mass incarceration
title The relationship between community public health, behavioral health service accessibility, and mass incarceration
title_full The relationship between community public health, behavioral health service accessibility, and mass incarceration
title_fullStr The relationship between community public health, behavioral health service accessibility, and mass incarceration
title_full_unstemmed The relationship between community public health, behavioral health service accessibility, and mass incarceration
title_short The relationship between community public health, behavioral health service accessibility, and mass incarceration
title_sort relationship between community public health, behavioral health service accessibility, and mass incarceration
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9336014/
https://www.ncbi.nlm.nih.gov/pubmed/35906627
http://dx.doi.org/10.1186/s12913-022-08306-6
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