Department of Biomedical Informatics, Columbia University, New York, NY, USA.
Department of Systems Biology, Columbia University, New York, NY, USA.
Sci Rep. 2017 Jul 10;7(1):4948. doi: 10.1038/s41598-017-04708-3.
Climate is a known modulator of disease, but its impact on hospital performance metrics remains unstudied. We assess the relationship between Köppen-Geiger climate classification and hospital performance metrics, specifically 30-day mortality, as reported in Hospital Compare, and collected for the period July 2013 through June 2014 (7/1/2013-06/30/2014). A hospital-level multivariate linear regression analysis was performed while controlling for known socioeconomic factors to explore the relationship between all-cause mortality and climate. Hospital performance scores were obtained from 4,524 hospitals belonging to 15 distinct Köppen-Geiger climates and 2,373 unique counties. Model results revealed that hospital performance metrics for mortality showed significant climate dependence (p < 0.001) after adjusting for socioeconomic factors. Climate is a significant factor in evaluating hospital 30-day mortality rates. These results demonstrate that climate classification is an important factor when comparing hospital performance across the United States.
气候是疾病的已知调节因素，但它对医院绩效指标的影响仍未得到研究。我们评估了 Köppen-Geiger 气候分类与医院绩效指标（特别是 30 天死亡率）之间的关系，这些数据来自 Hospital Compare，并收集于 2013 年 7 月至 2014 年 6 月期间（2013 年 7 月 1 日至 2014 年 6 月 30 日）。我们进行了医院层面的多元线性回归分析，同时控制了已知的社会经济因素，以探讨全因死亡率与气候之间的关系。从属于 15 种不同 Köppen-Geiger 气候和 2373 个独特县的 4524 家医院获得了医院绩效评分。模型结果表明，在调整了社会经济因素后，死亡率的医院绩效指标显示出显著的气候依赖性（p<0.001）。气候是评估医院 30 天死亡率的重要因素。这些结果表明，气候分类是在美国比较医院绩效时的一个重要因素。
