Impact of Race/Ethnicity and Socioeconomic Status on Risk-Adjusted Readmission Rates

Under the Hospital Readmissions Reduction Program (HRRP) of the Centers for Medicare & Medicaid Services (CMS), hospitals with excess readmissions for select conditions and procedures are penalized. However, readmission rates are not risk adjusted for socioeconomic status (SES) or race/ethnicity...

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Main Authors: Grant R. Martsolf PhD (Author), Marguerite L. Barrett MS (Author), Audrey J. Weiss PhD (Author), Raynard Washington PhD (Author), Claudia A. Steiner MD (Author), Ateev Mehrotra MD (Author), Rosanna M. Coffey PhD (Author)
Format: Book
Published: SAGE Publishing, 2016-10-01T00:00:00Z.
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100 1 0 |a Grant R. Martsolf PhD  |e author 
700 1 0 |a Marguerite L. Barrett MS  |e author 
700 1 0 |a Audrey J. Weiss PhD  |e author 
700 1 0 |a Raynard Washington PhD  |e author 
700 1 0 |a Claudia A. Steiner MD  |e author 
700 1 0 |a Ateev Mehrotra MD  |e author 
700 1 0 |a Rosanna M. Coffey PhD  |e author 
245 0 0 |a Impact of Race/Ethnicity and Socioeconomic Status on Risk-Adjusted Readmission Rates 
260 |b SAGE Publishing,   |c 2016-10-01T00:00:00Z. 
500 |a 0046-9580 
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500 |a 10.1177/0046958016667596 
520 |a Under the Hospital Readmissions Reduction Program (HRRP) of the Centers for Medicare & Medicaid Services (CMS), hospitals with excess readmissions for select conditions and procedures are penalized. However, readmission rates are not risk adjusted for socioeconomic status (SES) or race/ethnicity. We examined how adding SES and race/ethnicity to the CMS risk-adjustment algorithm would affect hospitals' excess readmission ratios and potential penalties under the HRRP. For each HRRP measure, we compared excess readmission ratios with and without SES and race/ethnicity included in the CMS standard risk-adjustment algorithm and estimated the resulting effects on overall penalties across a number of hospital characteristics. For the 5 HRRP measures (heart failure, acute myocardial infarction, chronic obstructive pulmonary disease, pneumonia, and total hip or knee arthroplasty), we used data from the Healthcare Cost and Utilization Project's State Inpatient Databases for 2011-2012 to calculate the excess readmission ratio with and without SES and race/ethnicity included in the model. With these ratios, we estimated the impact on HRRP penalties and found that risk adjusting for SES and race/ethnicity would affect Medicare payments for 83.8% of hospitals. The effect on the size of HRRP penalties ranged from −14.4% to 25.6%, but the impact on overall Medicare base payments was small-ranging from −0.09% to 0.06%. Including SES and race/ethnicity in the calculation had a disproportionately favorable effect on safety-net and rural hospitals. Any financial effects on hospitals and on the Medicare program of adding SES and race/ethnicity to the HRRP risk-adjustment calculation likely would be small. 
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690 |a Public aspects of medicine 
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655 7 |a article  |2 local 
786 0 |n Inquiry: The Journal of Health Care Organization, Provision, and Financing, Vol 53 (2016) 
787 0 |n http://inq.sagepub.com/content/53/0046958016667596.full.pdf 
787 0 |n https://doaj.org/toc/0046-9580 
787 0 |n https://doaj.org/toc/1945-7243 
856 4 1 |u https://doaj.org/article/b852dff5c5f24acfb9d2fa6a5988fbb5  |z Connect to this object online.