Abstract: When the Door Closes behind Them: What Reentry Really Demands and What Social Workers Already Know (Society for Social Work and Research 31st Annual Conference)

235P When the Door Closes behind Them: What Reentry Really Demands and What Social Workers Already Know

Schedule:
Friday, January 22, 2027
Continental 1-4 (Hilton San Francisco Union Square)
* noted as presenting author
Muhammad Nizam Uddin Khan, LMSW, Social Worker Level II, New York City Health and Hospitals, NY
Mohammad Mostafizur Rahman Khan, PhD, MSW, Assistant Professor, Stephen F. Austin State University, TX
Background and Purpose: For most systems, the moment an individual exits jail marks the end of a legal process. For the person walking out, however, it is often the most precarious moment of their life (Petersilia, 2003). Without stable housing, access to mental health care, or financial stability, many individuals are rearrested within months—not necessarily due to individual choice, but because of systemic gaps at the point of reentry (National Research Council, 2014). In New York City, where the cost of incarceration exceeds $500,000 per person annually, investment in community-based reentry support remains limited (New York City Independent Budget Office, 2023). This study examines patterns of rearrest among probationers using administrative data. The central question guiding this analysis is: what structural patterns are associated with rearrest, and how can reentry be better understood as a continuous, data-informed intervention?

Methods: This study employed a secondary data analysis (existing statistics) design using the New York City Department of Probation’s 2024 Recidivism Report (Local Law 90). The dataset includes 13,469 adult probationers supervised during calendar year 2024, based on available administrative data. Key variables analyzed included rearrest rates, timing of rearrest, and risk classification. Descriptive statistics were used to examine patterns in rearrest across time intervals (one month, three months, and one year).

Results: Among 13,469 adult probationers, 3,014 individuals (22.4%) were rearrested during the probation supervision period (NYC Department of Probation, 2024). Rearrests were disproportionately concentrated in the early post-sentence period: 6.8% occurred within the first month, 14.0% within three months, and 21.2% within one year.

Risk classification data indicate that individuals categorized as high risk represented a substantial proportion of the supervised population (51.5%), indicating a high concentration of individuals with elevated supervision needs within the system (NYC Department of Probation, 2024). Prior research consistently demonstrates that individuals with higher criminogenic risk levels are more likely to experience rearrest (Alper et al., 2018).

While the dataset does not directly measure social or clinical variables, existing literature identifies several factors associated with reincarceration, including housing instability, untreated mental illness, substance use relapse, unemployment, and limited access to coordinated services (Visher et al., 2011; Metraux & Culhane, 2004). Evidence further suggests that integrated interventions—combining housing support, treatment continuity, and peer engagement—can significantly reduce rearrest outcomes (Davis et al., 2013).

Conclusions and Implications: The findings indicate that reentry is not a discrete event but a time-sensitive transition period marked by heightened vulnerability to rearrest. The concentration of rearrests within the first three months underscores the importance of immediate and structured support following release. Implications for practice include strengthening continuity of care, improving coordination between correctional and community-based providers, and prioritizing early intervention strategies. Policy efforts should focus on expanding access to housing and community-based services at the point of discharge (Vera Institute of Justice, 2023). When reentry is approached as an ongoing, structured process rather than a single transition point, outcomes can improve for individuals and systems alike.