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Background Healthcare systems and public health agencies use different methods to measure the impact of substance use (SU) on population health. We studied the ability of systems to accurately capture data on drug use-associated infective endocarditis (DUA-IE). Methods We conducted a retrospective analysis of patients with IE discharge diagnosis from an academic medical center, 2011–2017, comparing data from hospital Electronic Health Record (EHR) to State Uniform Hospital Discharge Data Set (UHDDS). To identify SU we developed a composite measure. Results EHR identified 472 IE discharges (430 of these were captured in UHDDS); 406 (86.0%) were correctly coded based on chart review. IE discharges increased from 57 to 92 (62%) from 2012 to 2017. Hospitalizations for the subset of DUA-IE identified by any measure of SU increased from 10 to 54 (440%). Discharge diagnosis coding identified 128 (60.7%) of total DUA-IE hospitalizations. The composite measure identified an additional 65 (30.8%) DUA-IE hospitalizations and chart review an additional 18 (8.5%). Conclusions The failure of discharge diagnosis coding to identify DUA-IE in 40% of hospitalizations demonstrates the need for better systems to capture the impact of SU. Collaborative data sharing could help improve surveillance responsiveness to address an emerging public health crises.

the journal of infectious diseases (online. university of chicago press)/the journal of infectious diseases

Tracking Substance Use Complications: A Collaborative Analysis of Public Health and Academic Medical Center Records on Drug Use-Associated Infective Endocarditis