Comprehensive Summary
This study, presented by Hensley, et al., describes the protocol for the New Opportunities for Health and Resilience Measures for Suicide Prevention (NO HARMS) project, which aims to investigate suicide risk and protective factors by linking diverse multisystem administrative data. The research will link 13 administrative data sources from King County, Washington, covering records from 2012-2023, using an iterative machine learning approach to connect individuals across sources and deduplicate events. The project aims to develop an efficient method for linking administrative records and create a unified data resource for analysis. The project is looking at suicide outcomes in a few different ways. It will describe overall patterns, identify groups of people who share similar experiences, look at when suicide risk is highest after psychiatric hospitalization, and study the impact of domestic violence. The goal is to better understand how people use healthcare, community, and justice services. By pointing out patterns in service use and showing which groups are at higher risk, the NO HARMS project hopes to shape suicide prevention strategies that are more focused and effective.
Outcomes and Implications
This work integrates multiple administrative data sources to build a clearer picture of suicide risk and protective factors. By linking healthcare, community, and justice records, it provides a more holistic view of individual trajectories. Clinically, this could enable targeted prevention strategies by identifying when suicide risk is highest and which groups are most vulnerable. The broader implication is that multisystem data integration can generate more effective and tailored suicide prevention strategies at both clinical and policy levels.