Health system data incompletely capture the social risk factors for drug overdose. This study aimed to improve the accuracy of a machine-learning algorithm to predict opioid overdose risk by integrating human services and criminal justice data with health claims data to capture the social determinants of overdose risk in Allegheny County, Pennsylvania, an area heavily affected by the opioid crisis.
Recent Abstracts
Analysing India’s Unique Subnational WHO FCTC Article 5.3 Policies and Their Implementation Across 17…
Strengthening the Tobacco Cessation Ecosystem
Activity Report 2025 – Brazil
More Data Better Health – Brazilian People’s Perceptions of Risk Factors for Cancer
Relatório de Atividades 2025 – Brasil
Mais Dados Mais Saúde – Percepções da população brasileira sobre fatores de risco…
What Primary Care Records Reveal About Cancer Signs and Symptoms
O que os prontuários da atenção primária revelam sobre sinais e sintomas de…
CRVS Performance Measurement and Monitoring Resource Kit
Model Kentucky Ordinance Establishing a County Opioid Abatement Advisory Council