Brandy F Henry, Derek A Kreager, Joy Gray, Kristina Brant, Gary Zajac, Divine Lipscomb, Sarah Brothers, David R Schaefer, Nicolette Bardele, Andrea Hazelwood
{"title":"一项纵向混合方法社会网络分析,以评估一项由同伴主导的住房计划,该计划面向出狱的老年男子:研究方案和实施前的结果。","authors":"Brandy F Henry, Derek A Kreager, Joy Gray, Kristina Brant, Gary Zajac, Divine Lipscomb, Sarah Brothers, David R Schaefer, Nicolette Bardele, Andrea Hazelwood","doi":"10.1186/s40352-025-00362-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>We describe a longitudinal mixed methods program evaluation protocol for a novel peer-led housing program for older men transitioning from prison to the community after completing long sentences of incarceration. The program departs from traditional community corrections models by providing peer-run housing designed to build and enhance peer and community social ties. This previously untested program relies on the principles of network alteration and provides a case study for examining interpersonal mechanisms underlying behavioral health and justice related outcomes.</p><p><strong>Methods: </strong>We use mixed methods and longitudinal social network analysis to evaluate the program, while also applying implementation science to document program development. We focus our evaluation on key health and social outcomes, including mental health, substance use, stress, health risk behaviors, well-being, financial security, housing, and recidivism. With longitudinal surveys, we collect (1) dynamic network data of resident and staff relationships and (2) behavioral health/social data of participants. We also administer longitudinal resident and staff interviews. Resident interviews focus on interpersonal relationships and reentry experiences, while staff interviews describe program implementation. We apply longitudinal statistical models to complete (i.e., sociocentric) network data within the house to examine how dynamic network properties connect to changes in residents' health, behavioral, and social outcomes. We integrate longitudinal survey, individual-level (i.e., egocentric) network, and qualitative data to understand how the program works. To evaluate program impacts for long-term health and social outcomes, we use an untreated matched sample to compare 6- and 12-months post-prison release outcomes using administrative data related to rearrest/reincarceration and behavioral health.</p><p><strong>Pre-implementation results: </strong>We use a logic model to present and organize pre-implementation results from interviews with program staff and peer mentors. Our results describe program design and intended goals, while highlighting how the program is rooted in principles of peer support, trauma-informed care, and restorative justice to address unique stressors of incarceration to foster responsibility and facilitate reintegration.</p><p><strong>Discussion: </strong>Community program evaluation research allows us to document real-world contextual factors that may drive intervention effectiveness. Results of the mixed methods evaluation will provide a comprehensive understanding of one network-based program's ability to support health and social outcomes of older, previously incarcerated men. Results may inform future reentry services.</p>","PeriodicalId":37843,"journal":{"name":"Health and Justice","volume":"13 1","pages":"52"},"PeriodicalIF":2.6000,"publicationDate":"2025-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357394/pdf/","citationCount":"0","resultStr":"{\"title\":\"A longitudinal mixed methods social network analysis to evaluate a peer-led housing program for older men returning from incarceration: Study protocol & pre-implementation results.\",\"authors\":\"Brandy F Henry, Derek A Kreager, Joy Gray, Kristina Brant, Gary Zajac, Divine Lipscomb, Sarah Brothers, David R Schaefer, Nicolette Bardele, Andrea Hazelwood\",\"doi\":\"10.1186/s40352-025-00362-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>We describe a longitudinal mixed methods program evaluation protocol for a novel peer-led housing program for older men transitioning from prison to the community after completing long sentences of incarceration. The program departs from traditional community corrections models by providing peer-run housing designed to build and enhance peer and community social ties. This previously untested program relies on the principles of network alteration and provides a case study for examining interpersonal mechanisms underlying behavioral health and justice related outcomes.</p><p><strong>Methods: </strong>We use mixed methods and longitudinal social network analysis to evaluate the program, while also applying implementation science to document program development. We focus our evaluation on key health and social outcomes, including mental health, substance use, stress, health risk behaviors, well-being, financial security, housing, and recidivism. With longitudinal surveys, we collect (1) dynamic network data of resident and staff relationships and (2) behavioral health/social data of participants. We also administer longitudinal resident and staff interviews. Resident interviews focus on interpersonal relationships and reentry experiences, while staff interviews describe program implementation. We apply longitudinal statistical models to complete (i.e., sociocentric) network data within the house to examine how dynamic network properties connect to changes in residents' health, behavioral, and social outcomes. We integrate longitudinal survey, individual-level (i.e., egocentric) network, and qualitative data to understand how the program works. To evaluate program impacts for long-term health and social outcomes, we use an untreated matched sample to compare 6- and 12-months post-prison release outcomes using administrative data related to rearrest/reincarceration and behavioral health.</p><p><strong>Pre-implementation results: </strong>We use a logic model to present and organize pre-implementation results from interviews with program staff and peer mentors. Our results describe program design and intended goals, while highlighting how the program is rooted in principles of peer support, trauma-informed care, and restorative justice to address unique stressors of incarceration to foster responsibility and facilitate reintegration.</p><p><strong>Discussion: </strong>Community program evaluation research allows us to document real-world contextual factors that may drive intervention effectiveness. Results of the mixed methods evaluation will provide a comprehensive understanding of one network-based program's ability to support health and social outcomes of older, previously incarcerated men. 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A longitudinal mixed methods social network analysis to evaluate a peer-led housing program for older men returning from incarceration: Study protocol & pre-implementation results.
Background: We describe a longitudinal mixed methods program evaluation protocol for a novel peer-led housing program for older men transitioning from prison to the community after completing long sentences of incarceration. The program departs from traditional community corrections models by providing peer-run housing designed to build and enhance peer and community social ties. This previously untested program relies on the principles of network alteration and provides a case study for examining interpersonal mechanisms underlying behavioral health and justice related outcomes.
Methods: We use mixed methods and longitudinal social network analysis to evaluate the program, while also applying implementation science to document program development. We focus our evaluation on key health and social outcomes, including mental health, substance use, stress, health risk behaviors, well-being, financial security, housing, and recidivism. With longitudinal surveys, we collect (1) dynamic network data of resident and staff relationships and (2) behavioral health/social data of participants. We also administer longitudinal resident and staff interviews. Resident interviews focus on interpersonal relationships and reentry experiences, while staff interviews describe program implementation. We apply longitudinal statistical models to complete (i.e., sociocentric) network data within the house to examine how dynamic network properties connect to changes in residents' health, behavioral, and social outcomes. We integrate longitudinal survey, individual-level (i.e., egocentric) network, and qualitative data to understand how the program works. To evaluate program impacts for long-term health and social outcomes, we use an untreated matched sample to compare 6- and 12-months post-prison release outcomes using administrative data related to rearrest/reincarceration and behavioral health.
Pre-implementation results: We use a logic model to present and organize pre-implementation results from interviews with program staff and peer mentors. Our results describe program design and intended goals, while highlighting how the program is rooted in principles of peer support, trauma-informed care, and restorative justice to address unique stressors of incarceration to foster responsibility and facilitate reintegration.
Discussion: Community program evaluation research allows us to document real-world contextual factors that may drive intervention effectiveness. Results of the mixed methods evaluation will provide a comprehensive understanding of one network-based program's ability to support health and social outcomes of older, previously incarcerated men. Results may inform future reentry services.
期刊介绍:
Health & Justice is open to submissions from public health, criminology and criminal justice, medical science, psychology and clinical sciences, sociology, neuroscience, biology, anthropology and the social sciences, and covers a broad array of research types. It publishes original research, research notes (promising issues that are smaller in scope), commentaries, and translational notes (possible ways of introducing innovations in the justice system). Health & Justice aims to: Present original experimental research on the area of health and well-being of people involved in the adult or juvenile justice system, including people who work in the system; Present meta-analysis or systematic reviews in the area of health and justice for those involved in the justice system; Provide an arena to present new and upcoming scientific issues; Present translational science—the movement of scientific findings into practice including programs, procedures, or strategies; Present implementation science findings to advance the uptake and use of evidence-based practices; and, Present protocols and clinical practice guidelines. As an open access journal, Health & Justice aims for a broad reach, including researchers across many disciplines as well as justice practitioners (e.g. judges, prosecutors, defenders, probation officers, treatment providers, mental health and medical personnel working with justice-involved individuals, etc.). The sections of the journal devoted to translational and implementation sciences are primarily geared to practitioners and justice actors with special attention to the techniques used.