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Holiday Season and Weekend Effects on Stroke Mortality: A Nationwide Cohort Study Controlling for Stroke Severity

Huei‐Kai Huang, Wei‐Chuan Chang, Jin‐Yi Hsu and 4 more

Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease · 2019

doi:10.1161/jaha.118.011888 (opens in a new tab)

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Abstract

Background The effect of holiday season admission for stroke on mortality has not been investigated. Thus, we aimed to evaluate whether “holiday season” and “weekend” effects exist on mortality risk for stroke admission. Methods and Results A nationwide cohort study was conducted using Taiwan's National Health Insurance Research Database. We identified all patients admitted for stroke between 2011 and 2015 in Taiwan, and categorized them according to the admission date: holiday season (at least 4 days off) (n=3908), weekend (n=13 774), and weekday (n=49 045). We analyzed in‐hospital, 7‐day, and 30‐day mortality using multivariable logistic regression, adjusting for stroke severity and other confounders. Compared with weekday admissions, holiday season admission for stroke was significantly associated with a 20%, 33%, and 21% increase in in‐hospital, 7‐day, and 30‐day mortality, respectively. Compared with weekend admissions, holiday season admissions were associated with a 24%, 30%, and 22% increased risk of in‐hospital, 7‐day, and 30‐day mortality, respectively. However, mortality did not differ significantly between weekend and weekday admissions. Subanalyses after stratification for age, sex, and stroke type also revealed similar trends. Conclusions We report for the first time a “holiday season effect” on stroke mortality. Patients admitted during holiday seasons had higher mortality risks than those admitted on weekends and weekdays. This holiday season effect persisted even after adjusting for stroke severity and other important confounders. These findings highlight the need for healthcare delivery systems with a consistent quality of round‐the‐clock care for patients admitted for stroke.

Abstract licence: CC BY-NC

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