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Health Disparities and Converging Epidemics in Jail Populations: Protocol for a Mixed-Methods Study
BACKGROUND: Incarcerated populations have increased in the last 20 years and >12 million individuals cycle in and out of jails each year. Previous research has predominately focused on the prison population. However, a substantial gap exists in understanding the health, well-being, and health car...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231773/ https://www.ncbi.nlm.nih.gov/pubmed/30355562 http://dx.doi.org/10.2196/10337 |
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author | Trotter II, Robert T Camplain, Ricky Eaves, Emery R Fofanov, Viacheslav Y Dmitrieva, Natalia O Hepp, Crystal M Warren, Meghan Barrios, Brianna A Pagel, Nicole Mayer, Alyssa Baldwin, Julie A |
author_facet | Trotter II, Robert T Camplain, Ricky Eaves, Emery R Fofanov, Viacheslav Y Dmitrieva, Natalia O Hepp, Crystal M Warren, Meghan Barrios, Brianna A Pagel, Nicole Mayer, Alyssa Baldwin, Julie A |
author_sort | Trotter II, Robert T |
collection | PubMed |
description | BACKGROUND: Incarcerated populations have increased in the last 20 years and >12 million individuals cycle in and out of jails each year. Previous research has predominately focused on the prison population. However, a substantial gap exists in understanding the health, well-being, and health care utilization patterns in jail populations. OBJECTIVE: This pilot study has 5 main objectives: (1) define recidivists of the jail system, individuals characterized by high incarceration rates; (2) describe and compare the demographic and clinical characteristics of incarcerated individuals; (3) identify jail-associated health disparities; (4) estimate associations between incarceration and health; and (5) describe model patterns in health care and jail utilization. METHODS: The project has two processes—a secondary data analysis and primary data collection—which includes a cross-sectional health survey and biological sample collection to investigate infectious disease characteristics of the jail population. This protocol contains pilot elements in four areas: (1) instrument validity and reliability; (2) individual item assessment; (3) proof of concept of content and database accessibility; and (4) pilot test of the “honest broker” system. Secondary data analysis includes the analysis of 6 distinct databases, each covered by a formal memorandum of agreement between Northern Arizona University and the designated institution: (1) the Superior Court of Arizona Public Case Finder database; (2) North Country Health Care; (3) Health Choice Integrated Care; (4) Criminal Justice Information Services; (5) Correctional Electronic Medical Records; and (6) iLEADS. We will perform data integration processes using an automated honest broker design. We will administer a cross-sectional health survey, which includes questions about health status, health history, health care utilization, substance use practices, physical activity, adverse childhood events, and behavioral health, among 200 Coconino County Detention Facility inmates. Concurrent with the survey administration, we will collect Methicillin-resistant and Methicillin-sensitive Staphylococcus aureus (samples from the nose) and dental microbiome (Streptococcus sobrinus and Streptococcus mutans samples from the mouth) from consenting participants. RESULTS: To date, we have permission to link data across acquired databases. We have initiated data transfer, protection, and initial assessment of the 6 secondary databases. Of 199 inmates consented and enrolled, we have permission from 97.0% (193/199) to access and link electronic medical and incarceration records to their survey responses, and 95.0% (189/199) of interviewed inmates have given nasal and buccal swabs for analysis of S. aureus and the dental microbiome. CONCLUSIONS: This study is designed to increase the understanding of health needs and health care utilization patterns among jail populations, with a special emphasis on frequently incarcerated individuals. Our findings will help identify intervention points throughout the criminal justice and health care systems to improve health and reduce health disparities among jail inmates. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/10337 |
format | Online Article Text |
id | pubmed-6231773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-62317732018-12-03 Health Disparities and Converging Epidemics in Jail Populations: Protocol for a Mixed-Methods Study Trotter II, Robert T Camplain, Ricky Eaves, Emery R Fofanov, Viacheslav Y Dmitrieva, Natalia O Hepp, Crystal M Warren, Meghan Barrios, Brianna A Pagel, Nicole Mayer, Alyssa Baldwin, Julie A JMIR Res Protoc Protocol BACKGROUND: Incarcerated populations have increased in the last 20 years and >12 million individuals cycle in and out of jails each year. Previous research has predominately focused on the prison population. However, a substantial gap exists in understanding the health, well-being, and health care utilization patterns in jail populations. OBJECTIVE: This pilot study has 5 main objectives: (1) define recidivists of the jail system, individuals characterized by high incarceration rates; (2) describe and compare the demographic and clinical characteristics of incarcerated individuals; (3) identify jail-associated health disparities; (4) estimate associations between incarceration and health; and (5) describe model patterns in health care and jail utilization. METHODS: The project has two processes—a secondary data analysis and primary data collection—which includes a cross-sectional health survey and biological sample collection to investigate infectious disease characteristics of the jail population. This protocol contains pilot elements in four areas: (1) instrument validity and reliability; (2) individual item assessment; (3) proof of concept of content and database accessibility; and (4) pilot test of the “honest broker” system. Secondary data analysis includes the analysis of 6 distinct databases, each covered by a formal memorandum of agreement between Northern Arizona University and the designated institution: (1) the Superior Court of Arizona Public Case Finder database; (2) North Country Health Care; (3) Health Choice Integrated Care; (4) Criminal Justice Information Services; (5) Correctional Electronic Medical Records; and (6) iLEADS. We will perform data integration processes using an automated honest broker design. We will administer a cross-sectional health survey, which includes questions about health status, health history, health care utilization, substance use practices, physical activity, adverse childhood events, and behavioral health, among 200 Coconino County Detention Facility inmates. Concurrent with the survey administration, we will collect Methicillin-resistant and Methicillin-sensitive Staphylococcus aureus (samples from the nose) and dental microbiome (Streptococcus sobrinus and Streptococcus mutans samples from the mouth) from consenting participants. RESULTS: To date, we have permission to link data across acquired databases. We have initiated data transfer, protection, and initial assessment of the 6 secondary databases. Of 199 inmates consented and enrolled, we have permission from 97.0% (193/199) to access and link electronic medical and incarceration records to their survey responses, and 95.0% (189/199) of interviewed inmates have given nasal and buccal swabs for analysis of S. aureus and the dental microbiome. CONCLUSIONS: This study is designed to increase the understanding of health needs and health care utilization patterns among jail populations, with a special emphasis on frequently incarcerated individuals. Our findings will help identify intervention points throughout the criminal justice and health care systems to improve health and reduce health disparities among jail inmates. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/10337 JMIR Publications 2018-10-24 /pmc/articles/PMC6231773/ /pubmed/30355562 http://dx.doi.org/10.2196/10337 Text en ©Robert T Trotter II, Ricky Camplain, Emery R Eaves, Viacheslav Y Fofanov, Natalia O Dmitrieva, Crystal M Hepp, Meghan Warren, Brianna A Barrios, Nicole Pagel, Alyssa Mayer, Julie A Baldwin. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 24.10.2018. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included. |
spellingShingle | Protocol Trotter II, Robert T Camplain, Ricky Eaves, Emery R Fofanov, Viacheslav Y Dmitrieva, Natalia O Hepp, Crystal M Warren, Meghan Barrios, Brianna A Pagel, Nicole Mayer, Alyssa Baldwin, Julie A Health Disparities and Converging Epidemics in Jail Populations: Protocol for a Mixed-Methods Study |
title | Health Disparities and Converging Epidemics in Jail Populations: Protocol for a Mixed-Methods Study |
title_full | Health Disparities and Converging Epidemics in Jail Populations: Protocol for a Mixed-Methods Study |
title_fullStr | Health Disparities and Converging Epidemics in Jail Populations: Protocol for a Mixed-Methods Study |
title_full_unstemmed | Health Disparities and Converging Epidemics in Jail Populations: Protocol for a Mixed-Methods Study |
title_short | Health Disparities and Converging Epidemics in Jail Populations: Protocol for a Mixed-Methods Study |
title_sort | health disparities and converging epidemics in jail populations: protocol for a mixed-methods study |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231773/ https://www.ncbi.nlm.nih.gov/pubmed/30355562 http://dx.doi.org/10.2196/10337 |
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