Reconsidering Hospital Readmission Measures.

Area of Science:

• Health Services Research
• Quality Improvement
• Healthcare Policy

Background:

• Current hospital readmission measures are integral to the Centers for Medicare & Medicaid Services (CMS) Five-Star Quality Rating System.
• These measures are increasingly used to assess and report hospital quality.
• However, significant concerns exist regarding their accuracy and potential biases.

Purpose of the Study:

• To critically review the potential biases inherent in current hospital readmission performance measures.
• To analyze how these biases affect hospital quality ratings and patient outcomes.
• To propose policy recommendations for improving the validity and fairness of hospital quality assessments.

Main Methods:

• Review of existing literature on hospital readmission measures and their statistical properties.
• Analysis of factors contributing to variation in readmission rates, including patient mix and socioeconomic status.
• Examination of the relationship between readmission rates, mortality, and overall hospital quality.

Main Results:

• Hospital readmission rates are significantly influenced by factors beyond direct quality of care, such as patient socioeconomic status and the complexity of tertiary care.
• These confounding variables introduce bias into hospital performance ratings.
• Low readmission rates do not reliably correlate with reduced patient mortality, yet are weighted equally in current quality systems.

Conclusions:

• Current hospital readmission measures are inadequate for accurately reporting hospital quality due to inherent biases.
• The reliance on these flawed measures can lead to inaccurate hospital rankings and potentially misdirect quality improvement efforts.
• Policy recommendations include revising or removing current readmission measures from hospital quality rankings to ensure a more accurate and equitable assessment of care.