Abstract

Like civilian health systems, the United States Military Health System (MHS) confronts challenges in achieving the aims of reducing cost, and improving quality, access, and safety, but historically has lacked coordinated health services research (HSR) capabilities that enabled knowledge translation and iterative learning from its wealth of data. A military-civilian academic partnership called the Comparative Effectiveness and Provider-Induced Demand Collaboration (EPIC), formed in 2011, demonstrated early proof-of-concept in using the MHS claims database for research focused on drivers of variation in health care. This existing partnership was reorganized in 2015 and its topics expanded to meet the need for HSR in support of emerging priorities and to develop current and HSR capacity within the MHS. A Donabedian framework of structure, process, and outcomes was applied to support the project, through a core of principal investigators, researchers, analysts, and administrators. Within this framework, new researchers and student trainees learn foundations of HSR while performing secondary analysis of claims data from the MHS Data Repository (MDR) focusing on Health and Readiness, Pediatrics, Policy, Surgery, Trauma, and Women's Health. Since 2015, the project has trained 25 faculty, staff, and providers; 51 students and residents; 21 research fellows across multiple disciplines; and as of 2022, produced 107 peer-reviewed publications and 130 conference presentations, across all five themes and six cores. Research results have been incorporated into Federal and professional policy guidelines. Major research areas include opioid usage and prescribing, value-based care, and racial disparities. EPIC researchers provide direct support to MHS leaders and enabling expertise to clinical providers. EPIC, through its Donabedian framework and utilization of the MHS Data Repository as a research tool, generates actionable findings and builds capacity for continued HSR across the MHS. Eight years after its reorganization in 2015, EPIC continues to provide a platform for capacity building and knowledge translation.

Full Text
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