Creation of a data commons for substance misuse related health research through privacy-preserving patient record linkage between hospitals and state agencies

Author:

Afshar Majid1ORCID,Oguss Madeline1,Callaci Thomas A1,Gruenloh Timothy1,Gupta Preeti2,Sun Claire1,Safipour Afshar Askar1,Cavanaugh Joseph1,Churpek Matthew M1,Nyakoe-Nyasani Edwin3,Nguyen-Hilfiger Huong3,Westergaard Ryan13,Salisbury-Afshar Elizabeth13,Gussick Megan1,Patterson Brian1ORCID,Manneh Claire4,Mathew Jomol1,Mayampurath Anoop1

Affiliation:

1. School of Medicine and Public Health, University of Wisconsin-Madison , Madison, WI 53706, United States

2. Division of Pulmonary and Critical Care, University of Illinois-Chicago , Chicago, IL 60607, United States

3. State of Wisconsin Department of Health Services , Madison, WI 53703, United States

4. Datavant Incorporated , San Francisco, CA 94104, United States

Abstract

Abstract Objectives Substance misuse is a complex and heterogeneous set of conditions associated with high mortality and regional/demographic variations. Existing data systems are siloed and have been ineffective in curtailing the substance misuse epidemic. Therefore, we aimed to build a novel informatics platform, the Substance Misuse Data Commons (SMDC), by integrating multiple data modalities to provide a unified record of information crucial to improving outcomes in substance misuse patients. Materials and Methods The SMDC was created by linking electronic health record (EHR) data from adult cases of substance (alcohol, opioid, nonopioid drug) misuse at the University of Wisconsin hospitals to socioeconomic and state agency data. To ensure private and secure data exchange, Privacy-Preserving Record Linkage (PPRL) and Honest Broker services were utilized. The overlap in mortality reporting among the EHR, state Vital Statistics, and a commercial national data source was assessed. Results The SMDC included data from 36 522 patients experiencing 62 594 healthcare encounters. Over half of patients were linked to the statewide ambulance database and prescription drug monitoring program. Chronic diseases accounted for most underlying causes of death, while drug-related overdoses constituted 8%. Our analysis of mortality revealed a 49.1% overlap across the 3 data sources. Nonoverlapping deaths were associated with poor socioeconomic indicators. Discussion Through PPRL, the SMDC enabled the longitudinal integration of multimodal data. Combining death data from local, state, and national sources enhanced mortality tracking and exposed disparities. Conclusion The SMDC provides a comprehensive resource for clinical providers and policymakers to inform interventions targeting substance misuse-related hospitalizations, overdoses, and death.

Funder

NIH

NIDA

NHLBI

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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