Beyond One-Size-Fits-All: A Risk Proportional Approach to Optimising Supervision Durations of Singapore’s Community-Based Programmes (PID097)

11am – 11.30am NZDT, 4 March 2026 ‐ 30 mins

Parallel Workshops

Determining the optimal duration of community supervision is a central challenge in correctional policy, with profound implications for public safety, rehabilitation progress, and resource allocation. A data-driven approach is essential to calibrate supervision lengths that safeguard public safety and promote successful reintegration, while avoiding the diminishing returns of excessive oversight from prolonged supervision.

This study offers a comprehensive evaluation of supervision duration policies in Singapore’s Community-Based Programmes (CBPs) under the Drug Rehabilitation Centre Regime. Specifically, it addresses two objectives: (1) to establish empirically-derived supervision duration guidelines tailored to distinct risk profiles that optimise rehabilitation progress, and (2) to assess the impact of extended supervision durations following amendments to the Misuse of Drugs Act in 2019 on key supervision outcomes. Employing a retrospective cohort design, administrative records from over 13,000 supervisees emplaced on CBPs between 2015 and 2024 were analysed. Survival analysis methods accounting for competing risks were applied to model risk trajectories of abscondment, recalls due to technical violations, and recidivism across CBP periods, generating nuanced insights into distinct trajectories across supervisee risk profiles. 
The findings provide a clear, data-driven foundation for calibrating effective supervision duration policies and informing targeted risk mitigation strategies for CBPs. By clarifying when, for whom, and for how long supervision is most effective, this study informs a risk-proportional supervision duration framework designed to ensure public safety, strengthen rehabilitation and reintegration, and enhance the efficient use of correctional resources.