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.

退伍军人健康信息交换量与30天再入院、可避免住院和住院死亡率:来自社区和退伍军人健康管理局直接护理的证据
目的:确定医疗服务系统之间更多的健康信息交换(HIE)是否能改善患者的预后,以及社区护理和退伍军人健康管理局(VHA)直接护理的效果是否不同。材料和方法:我们使用了2022年1月至2023年12月所有VHA注册者的电子健康记录数据(3144个医疗中心月;每月240万患者)。HIE量,完成交换的唯一患者日数,是我们的关键解释变量。主要结局为30天再入院、可避免住院和院内死亡率。我们使用每个医疗中心的组织交换合作伙伴数量和总体估计模型,以及医疗中心和月固定效果的护理设置和直接患者数量控制来测量HIE数量。结果:在社区护理中,HIE容量每增加1个标准差,每个医疗中心每月30天再入院减少4.07例(95% CI, -4.62至-3.51),可避免住院减少1.45例(95% CI, -2.84至-0.06),住院死亡减少0.25例(95% CI, -0.44至-0.06)。在VHA直接护理中,相同的HIE容量增加与7.07例额外再入院(95% CI, 6.46-7.67)和0.19例额外住院死亡(95% CI, 0.03-0.35)相关,对可避免的住院治疗没有显著影响(95% CI, -0.96 - 1.68)。结论:特定设置的效果可能源于不对称的内容(从VHA流出的纵向历史,进入VHA的情景摘要),不对称的界面(现代社区电子病历与VHA的联合遗产查看器),以及hie使社区患者重新进入VHA。需要做更多的工作来理清这些机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of the American Medical Informatics Association
Journal of the American Medical Informatics Association 医学-计算机:跨学科应用
CiteScore
14.50
自引率
7.80%
发文量
230
审稿时长
3-8 weeks
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.
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