Login / Signup

Climate Classification is an Important Factor in Assessing Quality-of-Care Across Hospitals.

Mary Regina BolandPradipta ParhiPierre GentineNicholas P Tatonetti
Published in: Scientific reports (2017)
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.
Keyphrases
  • healthcare
  • climate change
  • acute care
  • machine learning
  • deep learning
  • risk factors
  • cardiovascular events
  • palliative care
  • type diabetes
  • coronary artery disease
  • health insurance
  • neural network