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
Abstract 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 b...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-08-01
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| Series: | Health & Justice |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40352-025-00362-4 |
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| Summary: | Abstract 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. |
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| ISSN: | 2194-7899 |