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Correlation between hospital rating agencies' data: An analysis and recommendation

  • Samuel E. Sondheim
  • , Angela Mattie
  • , Julie Vigil
  • , Christina McCulloch
  • , Richard Feinn

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Hospital rating agencies exist to inform consumers through publicly available patient safety data. The large number of rating agencies, the variability in their methodologies and data presentations leave few consumers considering these data in making healthcare decisions. The objective of this study was to analyze the comparability of data from four different healthcare rating agencies to understand whether there exists a correlation among the rating agencies' published data. Four well-known rating agencies' data were gathered for 30 Connecticut hospitals and analyzed using correlation methods. The overall rating score was used for comparison accounting for patients' probability of referencing this score in determining a hospital's safety. The results indicate little or no correlation between ratings of Connecticut hospitals among the reviewed rating agencies. The only statistically significant correlation was between CMS and Leapfrog. The lack of correlation among rating agencies' publicly available data identified in this study leads to consumer confusion. This research provides support for the need for a valid, reliable, and transparent healthcare rating system to inform patient decision making. These findings can be used to advocate for a legislatively mandated national reporting system that focuses on user understanding of the data.

Original languageEnglish
Pages (from-to)18-24
Number of pages7
JournalJournal of healthcare risk management : the journal of the American Society for Healthcare Risk Management
Volume40
Issue number3
DOIs
StatePublished - 1 Jan 2021
Externally publishedYes

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