Hospital variation of outcomes in status epilepticus

Author:

Terman Samuel W.1ORCID,Guterman Elan L.2ORCID,Lin Chun C.3,Thompson Michael P.4,Burke James F.3

Affiliation:

1. Department of Neurology University of Michigan Ann Arbor Michigan USA

2. Department of Neurology University of California, San Francisco San Francisco California USA

3. Department of Neurology Ohio State University Columbus Ohio USA

4. Department of Cardiac Surgery and Division of Cardiovascular Medicine University of Michigan Ann Arbor Michigan USA

Abstract

AbstractObjectiveUnderstanding factors driving variation in status epilepticus outcomes would be critical to improve care. We evaluated the degree to which patient and hospital characteristics explained hospital‐to‐hospital variability in intubation and postacute outcomes.MethodsThis was a retrospective cohort study of Medicare beneficiaries admitted with status epilepticus between 2009 and 2019. Outcomes included intubation, discharge to a facility, and 30‐ and 90‐day readmissions and mortality. Multilevel models calculated percent variation in each outcome due to hospital‐to‐hospital differences.ResultsWe included 29 150 beneficiaries. The median age was 68 years (interquartile range [IQR] = 57–78), and 18 084 (62%) were eligible for Medicare due to disability. The median (IQR) percentages of each outcome across hospitals were: 30‐day mortality 25% (0%–38%), any 30‐day readmission 14% (0%–25%), 30‐day status epilepticus readmission 0% (0%–3%), 30‐day facility stay 40% (25%–53%), and intubation 46% (20%–61%). However, after accounting for many hospitals with small sample size, hospital‐to‐hospital differences accounted for 2%–6% of variation in all unadjusted outcomes, and approximately 1%–5% (maximally 8% for 30‐day readmission for status epilepticus) after adjusting for patient, hospitalization, and/or hospital characteristics. Although many characteristics significantly predicted outcomes, the largest effect size was cardiac arrest predicting death (odds ratio = 10.1, 95% confidence interval = 8.8–11.7), whereas hospital characteristics (e.g., staffing, accreditation, volume, setting, services) all had lesser effects.SignificanceHospital‐to‐hospital variation explained little variation in studied outcomes. Rather, certain patient characteristics (e.g., cardiac arrest) had greater effects. Interventions to improve outcomes after status epilepticus may be better focused on individual or prehospital factors, rather than at the inpatient systems level.

Funder

American Academy of Neurology

American Epilepsy Society

Michigan Institute for Clinical and Health Research

National Institutes of Health

Publisher

Wiley

Reference45 articles.

1. Association of levels of specialized care with risk of premature mortality in patients with epilepsy;Lowerison MW;JAMA Neurol [Internet],2019

2. Institutional Factors Contribute to Variation in Intubation Rates in Status Epilepticus

3. What's Medicare? [Internet].U.S. Centers for Medicare and Medicaid Services. [cited 2021]. Available from:https://www.medicare.gov/what‐medicare‐covers/your‐medicare‐coverage‐choices/whats‐medicare

4. Percentage of people covered by Medicare in the United States from 1990 to 2020 [Internet].Statista.2021[cited 2024 Feb 22]. Available from:https://www.statista.com/statistics/200962/percentage‐of‐americans‐covered‐by‐medicare/

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3