Veteran health information exchange volume and 30-day readmissions, avoidable hospitalizations, and in-hospital mortality: evidence from community and Veterans Health Administration direct care.
IF 7.1 2区 医学Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Abbie Zhang, Daniel Lipsey, Stuart Figueroa, Megan E Price, Jonathan Nebeker, Eric Chung Ren Pan, Kevin Griffith, Steven D Pizer
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引用次数: 0
Abstract
Objective: To determine whether a greater volume of health information exchange (HIE) between care delivery systems improves patient outcomes and whether effects differ between community care and Veterans Health Administration (VHA) direct care settings.
Materials and methods: We used electronic health record data for all VHA enrollees from January 2022 to December 2023 (3144 medical center-months; 2.4 million patients per month). HIE volume, the number of unique patient-days with completed exchanges, was our key explanatory variable. Primary outcomes were 30-day readmissions, avoidable hospitalizations, and in-hospital mortality. We instrumented for HIE volume using each medical center's count of organizational exchange partners and estimated models overall and by care setting with medical center and month fixed effects and direct patient volume controls.
Results: In community care, a 1-SD increase in HIE volume was associated with 4.07 fewer 30-day readmissions (95% CI, -4.62 to -3.51), 1.45 fewer avoidable hospitalizations (95% CI, -2.84 to -0.06), and 0.25 fewer inpatient deaths (95% CI, -0.44 to -0.06) per medical center per month. In VHA direct care, the same increase in HIE volume was associated with 7.07 additional readmissions (95% CI, 6.46-7.67) and 0.19 additional inpatient deaths (95% CI, 0.03-0.35), with no significant impact on avoidable hospitalizations (95% CI, -0.96 to 1.68).
Conclusion: Setting-specific effects may stem from asymmetric content (longitudinal histories outbound from VHA, episodic summaries inbound to VHA), asymmetric interfaces (modern community EHRs vs VHA's Joint Legacy Viewer), and HIE-enabled reclamation of community patients into VHA. More work is needed to disentangle these mechanisms.
期刊介绍:
JAMIA is AMIA''s premier peer-reviewed journal for biomedical and health informatics. Covering the full spectrum of activities in the field, JAMIA includes informatics articles in the areas of clinical care, clinical research, translational science, implementation science, imaging, education, consumer health, public health, and policy. JAMIA''s articles describe innovative informatics research and systems that help to advance biomedical science and to promote health. Case reports, perspectives and reviews also help readers stay connected with the most important informatics developments in implementation, policy and education.