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Examining the relationship between patient experience and readmission rates: A profile deviation analysis.

Sidney Anderson
Published in: Health services management research (2021)
The purpose of this study is to examine the relationship between patient experience and readmissions by exploring whether the deviation from an ideal patient-experience profile is linked to higher readmissions. Using patient experience scores, hospitals were assigned to one of four groups based on their deviation from an ideal profile. The readmission rates for the four groups were analyzed using Profile Deviation, ANOVA, and Least Significant Difference. Patient experience is a central component of hospital performance, specifically, readmission rates. Findings indicate as patient experience scores decrease, profile deviation increases, with a corresponding increase in readmission rate. This study provides empirical support for administrators focusing on patient experience as part of an overall strategy for reducing hospital readmissions. The key feature of this research is the use of a profile deviation methodology to examine the relationship between patient experience and readmission rates.
Keyphrases
  • healthcare
  • deep learning
  • drug induced