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What is the impact of a clinically related readmission measure on the assessment of hospital performance?

Overview of attention for article published in BMC Health Services Research, November 2017
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Title
What is the impact of a clinically related readmission measure on the assessment of hospital performance?
Published in
BMC Health Services Research, November 2017
DOI 10.1186/s12913-017-2742-x
Pubmed ID
Authors

Roger K. Khouri, Hechuan Hou, Apoorv Dhir, Juan J. Andino, James M. Dupree, David C. Miller, Chad Ellimoottil

Abstract

The Hospital Readmission Reduction Program (HRRP) penalizes hospitals for high all-cause unplanned readmission rates. Many have expressed concern that hospitals serving patient populations with more comorbidities, lower incomes, and worse self-reported health status may be disproportionately penalized by readmissions that are not clinically related to the index admission. The impact of including clinically unrelated readmissions on hospital performance is largely unknown. We sought to determine if a clinically related readmission measure would significantly alter the assessment of hospital performance. We analyzed Medicare claims for beneficiaries in Michigan admitted for pneumonia and joint replacement from 2011 to 2013. We compared each hospital's 30-day readmission rate using specifications from the HRRP's all-cause unplanned readmission measure to values calculated using a clinically related readmission measure. We found that the mean 30-day readmission rates were lower when calculated using the clinically related readmission measure (joint replacement: all-cause 5.8%, clinically related 4.9%, p < 0.001; pneumonia: all cause 12.5%, clinically related 11.3%, p < 0.001)). The correlation of hospital ranks using both methods was strong (joint replacement: 0.95 (p < 0.001), pneumonia: 0.90 (p < 0.001)). Our findings suggest that, while greater specificity may be achieved with a clinically related measure, clinically unrelated readmissions may not impact hospital performance in the HRRP.

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Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 24%
Researcher 6 16%
Student > Postgraduate 5 13%
Student > Doctoral Student 3 8%
Student > Ph. D. Student 2 5%
Other 5 13%
Unknown 8 21%
Readers by discipline Count As %
Medicine and Dentistry 11 29%
Nursing and Health Professions 3 8%
Business, Management and Accounting 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Psychology 2 5%
Other 5 13%
Unknown 13 34%