Hospital variation of outcomes in status epilepticus

被引:2
作者
Terman, Samuel W. [1 ]
Guterman, Elan L. [2 ]
Lin, Chun C. [3 ]
Thompson, Michael P. [4 ,5 ]
Burke, James F. [3 ]
机构
[1] Univ Michigan, Dept Neurol, Taubman 1st Floor,Recept C,1500 E Med Ctr Dr,SPC 5, Ann Arbor, MI 48109 USA
[2] Univ Calif San Francisco, Dept Neurol, San Francisco, CA USA
[3] Ohio State Univ, Dept Neurol, Columbus, OH USA
[4] Univ Michigan, Dept Cardiac Surg, Ann Arbor, MI 48109 USA
[5] Univ Michigan, Div Cardiovasc Med, Ann Arbor, MI 48109 USA
基金
美国国家卫生研究院;
关键词
cohort studies; Medicare; outcomes; status epilepticus; MIDAZOLAM USE; VALIDATION; EPILEPSY; CODES; RECOMMENDATIONS; READMISSION; RELIABILITY; MORTALITY; TRENDS;
D O I
10.1111/epi.17927
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
ObjectiveUnderstanding 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.
引用
收藏
页码:1415 / 1427
页数:13
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