Darrell J Gaskin1,2, Hossein Zare1,2,3, Roza Vazin1,4, DeJa Love5, Donald Steinwachs1,4. 1. Johns Hopkins Bloomberg School of Public Health. 2. Department of Health Policy and Management, Johns Hopkins Center for Health Disparities Solutions. 3. University of Maryland University College, Health Services Management. 4. Department of Health Policy and Management, Baltimore, MD. 5. CareFirst BlueCross BlueShield, Baltimore, MD.
Abstract
BACKGROUND: The Hospital Readmission Reduction Program (HRRP) disproportionately penalizes hospitals serving minority communities. The National Academy of Science, Engineering, and Medicine has recommended that the Centers for Medicare and Medicaid Services (CMS) consider adjusting for social risk factors in their risk adjustment methodology. This study examines the association between the racial and ethnic composition of a hospital market and the impact of other social risk factors on the probability of a hospital being penalized under the HRRP. RESEARCH METHODS AND DATA: This study analyzes data from CMS, the American Hospital Association, and the American Community Survey for 3168 hospitals from 2013 to 2017. We used logistic regression models to estimate the association between the penalty status under HRRP and the racial and ethnic composition of a hospital market, and explored whether this association was moderated by other social risk factors. RESULTS: Our results indicate that the probability of being penalized increases with the percentage of black and Asian residents in the hospital service area (HSA) and decreased with the percentage of Hispanic residents in the HSA. This association was reduced and became statistically insignificant when we controlled for other social risk factors. The strongest predictors of penalty status were the hospital's share of Medicaid patients and the percent of persons without a high school diploma in the HSA. CONCLUSIONS: By incorporating relevant social risk factors in the reimbursement methodology, CMS could mitigate the negative effects of HRRP on hospitals serving minority communities.
BACKGROUND: The Hospital Readmission Reduction Program (HRRP) disproportionately penalizes hospitals serving minority communities. The National Academy of Science, Engineering, and Medicine has recommended that the Centers for Medicare and Medicaid Services (CMS) consider adjusting for social risk factors in their risk adjustment methodology. This study examines the association between the racial and ethnic composition of a hospital market and the impact of other social risk factors on the probability of a hospital being penalized under the HRRP. RESEARCH METHODS AND DATA: This study analyzes data from CMS, the American Hospital Association, and the American Community Survey for 3168 hospitals from 2013 to 2017. We used logistic regression models to estimate the association between the penalty status under HRRP and the racial and ethnic composition of a hospital market, and explored whether this association was moderated by other social risk factors. RESULTS: Our results indicate that the probability of being penalized increases with the percentage of black and Asian residents in the hospital service area (HSA) and decreased with the percentage of Hispanic residents in the HSA. This association was reduced and became statistically insignificant when we controlled for other social risk factors. The strongest predictors of penalty status were the hospital's share of Medicaid patients and the percent of persons without a high school diploma in the HSA. CONCLUSIONS: By incorporating relevant social risk factors in the reimbursement methodology, CMS could mitigate the negative effects of HRRP on hospitals serving minority communities.
Authors: Amy J H Kind; Steve Jencks; Jane Brock; Menggang Yu; Christie Bartels; William Ehlenbach; Caprice Greenberg; Maureen Smith Journal: Ann Intern Med Date: 2014-12-02 Impact factor: 25.391
Authors: Matlin Gilman; Jason M Hockenberry; E Kathleen Adams; Arnold S Milstein; Ira B Wilson; Edmund R Becker Journal: Ann Intern Med Date: 2015-09-15 Impact factor: 25.391
Authors: Behnood Bikdeli; Brian Wayda; Haikun Bao; Joseph S Ross; Xiao Xu; Sarwat I Chaudhry; John A Spertus; Susannah M Bernheim; Peter K Lindenauer; Harlan M Krumholz Journal: Circ Cardiovasc Qual Outcomes Date: 2014-07-29
Authors: Alanna A Morris; Aditi Nayak; Yi-An Ko; Melroy D'Souza; G Michael Felker; Margaret M Redfield; W H Wilson Tang; Jeffrey M Testani; Javed Butler Journal: Circ Heart Fail Date: 2020-07-08 Impact factor: 8.790
Authors: Arnab K Ghosh; Said Ibrahim; Jennifer Lee; Martin F Shapiro; Jessica Ancker Journal: Qual Manag Health Care Date: 2022-04-04 Impact factor: 1.147