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
Information About New Federal Regulations for Opioid Treatment Programs (OTPs)
Centering Country Ownership and Leadership: The Data for Health Initiative’s Approach
Mass Media Campaigns
Data for Health: Advancing Gender Equity
The Index of Tobacco Control Sustainability
Index of Tobacco Control Sustainability (ITCS): India Subnational Tobacco Control
Index of Tobacco Control Sustainability (ITCS): Indonesia Subnational Tobacco Control
Considerations for Planning Childhood Blood Lead Surveillance
Air Quality Monitoring Toolkit: Assessing Second-Hand Smoke in Hospitality Venues
Association between high-threshold practices and buprenorphine treatment termination