Skip to main content
Top
Published in: BMC Health Services Research 1/2019

Open Access 01-12-2019 | Pneumonia | Research article

Impact of the Medicare hospital readmissions reduction program on vulnerable populations

Authors: Yunwei Gai, Dessislava Pachamanova

Published in: BMC Health Services Research | Issue 1/2019

Login to get access

Abstract

Background

The Hospital Readmissions Reduction Program (HRRP) was established by the 2010 Patient Protection and Affordable Care Act (ACA) in an effort to reduce excess hospital readmissions, lower health care costs, and improve patient safety and outcomes. Although studies have examined the policy’s overall impacts and differences by hospital types, research is limited on its effects for different types of vulnerable populations. The aim of this study was to analyze the impact of the HRRP on readmissions for three targeted conditions (acute myocardial infarction, heart failure, and pneumonia) among four types of vulnerable populations, including low-income patients, patients served by hospitals that serve a high percentage of low-income or Medicaid patients, and high-risk patients at the highest quartile of the Elixhauser comorbidity index score.

Methods

Data on patient and hospital information came from the Nationwide Readmission Database (NRD), which contained all discharges from community hospitals in 27 states during 2010–2014. Using difference-in-difference (DD) models, linear probability regressions were conducted for the entire sample and sub-samples of patients and hospitals in order to isolate the effect of the HRRP on vulnerable populations. Multiple combinations of treatment and control groups and triple difference (DDD) methods were used for testing the robustness of the results. All models controlled for the patient and hospital characteristics.

Results

There have been statistically significant reductions in readmission rates overall as well as for vulnerable populations, especially for acute myocardial infarction patients in hospitals serving the largest percentage of low-income patients and high-risk patients. There is also evidence of spillover effects for non-targeted conditions among Medicare patients compared to privately insured patients.

Conclusions

The HRRP appears to have created the right incentives for reducing readmissions not only overall but also for vulnerable populations, accruing societal benefits in addition to previously found reductions in costs. As the reduction in the rate of readmissions is not consistent across patient and hospital groups, there could be benefits to adjusting the policy according to the socioeconomic status of a hospital’s patients and neighborhood.
Appendix
Available only for authorised users
Literature
2.
go back to reference Berenson J, Shih A. Higher readmissions at safety-net hospitals and potential policy solutions. Issue Brief (Commonw Fund). 2012;34:1–6. Berenson J, Shih A. Higher readmissions at safety-net hospitals and potential policy solutions. Issue Brief (Commonw Fund). 2012;34:1–6.
3.
go back to reference Gu Q, Koenig L, Faerberg J, Steinberg CR, Vaz C, Wheatley MP. The Medicare hospital readmissions reduction program: potential unintended consequences for hospitals serving vulnerable populations. Health Serv Res. 2014;49(3):818–37.CrossRef Gu Q, Koenig L, Faerberg J, Steinberg CR, Vaz C, Wheatley MP. The Medicare hospital readmissions reduction program: potential unintended consequences for hospitals serving vulnerable populations. Health Serv Res. 2014;49(3):818–37.CrossRef
4.
go back to reference Barnett ML, Hsu J, McWilliams JM. Patient characteristics and differences in hospital readmission rates. JAMA Intern Med. 2015;175(11):1803–12.CrossRef Barnett ML, Hsu J, McWilliams JM. Patient characteristics and differences in hospital readmission rates. JAMA Intern Med. 2015;175(11):1803–12.CrossRef
5.
go back to reference Herrin J, St. Andre J, Kenward K, Joshi MS, Audet AM, Hines SC. Community factors and hospital readmission rates. Health Serv Res. 2015;50(1):20–39.CrossRef Herrin J, St. Andre J, Kenward K, Joshi MS, Audet AM, Hines SC. Community factors and hospital readmission rates. Health Serv Res. 2015;50(1):20–39.CrossRef
6.
go back to reference Bernheim SM, Parzynski CS, Horwitz L, et al. Accounting for patients’ socioeconomic status does not change hospital readmission rates. Health Aff (Millwood). 2016;35(8):1461–70.CrossRef Bernheim SM, Parzynski CS, Horwitz L, et al. Accounting for patients’ socioeconomic status does not change hospital readmission rates. Health Aff (Millwood). 2016;35(8):1461–70.CrossRef
7.
go back to reference Mellor J, Daly M, Smith M. Does it pay to penalize hospitals for excess readmissions? Intended and unintended consequences of Medicare’s hospital readmissions reductions program. Health Eco. 2017;26(8):1037–51.CrossRef Mellor J, Daly M, Smith M. Does it pay to penalize hospitals for excess readmissions? Intended and unintended consequences of Medicare’s hospital readmissions reductions program. Health Eco. 2017;26(8):1037–51.CrossRef
8.
go back to reference Bazzoli GJ, Thompson MP, Waters TM. Medicare payment penalties and safety net hospital profitability: minimal impact on these vulnerable hospitals. Health Serv Res. 2018;53(5):3495–506.CrossRef Bazzoli GJ, Thompson MP, Waters TM. Medicare payment penalties and safety net hospital profitability: minimal impact on these vulnerable hospitals. Health Serv Res. 2018;53(5):3495–506.CrossRef
9.
go back to reference McIlvennan CK, Eapen ZJ, Allen LA. Hospital readmissions reduction program. Circulation. 2015;131(20):1796–803.CrossRef McIlvennan CK, Eapen ZJ, Allen LA. Hospital readmissions reduction program. Circulation. 2015;131(20):1796–803.CrossRef
10.
go back to reference Carey K, Lin MY. Readmissions to New York hospitals fell for three target conditions from 2008 to 2012, consistent with Medicare goals. Health Aff (Millwood). 2015;34(6):978–85.CrossRef Carey K, Lin MY. Readmissions to New York hospitals fell for three target conditions from 2008 to 2012, consistent with Medicare goals. Health Aff (Millwood). 2015;34(6):978–85.CrossRef
11.
go back to reference Zuckerman RB, Sheingold SH, Orav EJ, Ruhter J, Epstein AM. Readmissions, observation, and the hospital readmissions reduction program. N Engl J Med. 2016;374(16):1543–51.CrossRef Zuckerman RB, Sheingold SH, Orav EJ, Ruhter J, Epstein AM. Readmissions, observation, and the hospital readmissions reduction program. N Engl J Med. 2016;374(16):1543–51.CrossRef
12.
go back to reference Desai NR, Ross JS, Kwon JY, et al. Association between hospital penalty status under the hospital readmission reduction program and readmission rates for target and nontarget conditions. JAMA. 2016;316(24):2647–56.CrossRef Desai NR, Ross JS, Kwon JY, et al. Association between hospital penalty status under the hospital readmission reduction program and readmission rates for target and nontarget conditions. JAMA. 2016;316(24):2647–56.CrossRef
13.
go back to reference Wasfy JH, Zigler CM, Choirat C, Wang Y, Dominici F, Yeh RW. Readmission rates after passage of the hospital readmissions reduction program: a pre–post analysis. Ann Intern Med. 2017;166(5):324–31.CrossRef Wasfy JH, Zigler CM, Choirat C, Wang Y, Dominici F, Yeh RW. Readmission rates after passage of the hospital readmissions reduction program: a pre–post analysis. Ann Intern Med. 2017;166(5):324–31.CrossRef
17.
go back to reference Birmingham LE, Oglesby WH. Readmission rates in not-for-profit vs. proprietary hospitals before and after the hospital readmission reduction program implementation. BMC Health Serv Res. 2018;18(1):31.CrossRef Birmingham LE, Oglesby WH. Readmission rates in not-for-profit vs. proprietary hospitals before and after the hospital readmission reduction program implementation. BMC Health Serv Res. 2018;18(1):31.CrossRef
21.
go back to reference Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care. 1998;36(1):8–27.CrossRef Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care. 1998;36(1):8–27.CrossRef
23.
go back to reference Moore BJ, White S, Washington R, Coenen N, Elixhauser A. Identifying increased risk of readmission and in-hospital mortality using hospital administrative data. Med Care. 2017;55(7):698–705.CrossRef Moore BJ, White S, Washington R, Coenen N, Elixhauser A. Identifying increased risk of readmission and in-hospital mortality using hospital administrative data. Med Care. 2017;55(7):698–705.CrossRef
24.
go back to reference Shanker, D. This Obamacare Rule Keeps You Out of the Hospital. Will It Survive? Bloomberg Wire Service; New York [New York] 13 Mar 2017. Shanker, D. This Obamacare Rule Keeps You Out of the Hospital. Will It Survive? Bloomberg Wire Service; New York [New York] 13 Mar 2017.
25.
go back to reference Benitez JA, Creel LM, Jennings J. Who and where are Kentucky’s remaining uninsured? Med Care. 2017 Mar 1;55(3):215–9.CrossRef Benitez JA, Creel LM, Jennings J. Who and where are Kentucky’s remaining uninsured? Med Care. 2017 Mar 1;55(3):215–9.CrossRef
26.
go back to reference Benitez JA, Tipirneni R, Perez V, Davis MM. Does primary care provider supply influence Medicaid acceptability? Med Care. 2019 May 1;57(5):348–52.CrossRef Benitez JA, Tipirneni R, Perez V, Davis MM. Does primary care provider supply influence Medicaid acceptability? Med Care. 2019 May 1;57(5):348–52.CrossRef
27.
go back to reference Benitez JA, Adams EK, Seiber EE. Did health care reform help Kentucky address disparities in coverage and access to care among the poor? Health Serv Res. 2018 Jun;53(3):1387–406.CrossRef Benitez JA, Adams EK, Seiber EE. Did health care reform help Kentucky address disparities in coverage and access to care among the poor? Health Serv Res. 2018 Jun;53(3):1387–406.CrossRef
28.
go back to reference Ibrahim AM, Nathan H, Thumma JR, Dimick JB. Impact of the hospital readmission reduction program on surgical readmissions among Medicare beneficiaries. Ann Surg. 2017 Oct;266(4):617–24.CrossRef Ibrahim AM, Nathan H, Thumma JR, Dimick JB. Impact of the hospital readmission reduction program on surgical readmissions among Medicare beneficiaries. Ann Surg. 2017 Oct;266(4):617–24.CrossRef
29.
go back to reference McGarry BE, Blankley AA, Li Y. The impact of the Medicare hospital readmission reduction program in New York state. Med Care. 2016 Feb 1;54(2):162–71.CrossRef McGarry BE, Blankley AA, Li Y. The impact of the Medicare hospital readmission reduction program in New York state. Med Care. 2016 Feb 1;54(2):162–71.CrossRef
32.
go back to reference Bazzoli GJ, Chan B, Shortell SM, D'Aunno T. The financial performance of hospitals belonging to health networks and systems. Inquiry. 2000 Oct;1:234–52. Bazzoli GJ, Chan B, Shortell SM, D'Aunno T. The financial performance of hospitals belonging to health networks and systems. Inquiry. 2000 Oct;1:234–52.
33.
go back to reference Chukmaitov AS, Bazzoli GJ, Harless DW, Hurley RE, Devers KJ, Zhao M. Variations in inpatient mortality among hospitals in different system types, 1995 to 2000. Med Care. 2009 Apr 1;47(4):466–73.CrossRef Chukmaitov AS, Bazzoli GJ, Harless DW, Hurley RE, Devers KJ, Zhao M. Variations in inpatient mortality among hospitals in different system types, 1995 to 2000. Med Care. 2009 Apr 1;47(4):466–73.CrossRef
37.
go back to reference Fredericks S, Lapum J, Hui G. Examining the effect of patient-centered care on patient outcomes: a systematic review. Br J Nurs. 2015;24(7):394–400.CrossRef Fredericks S, Lapum J, Hui G. Examining the effect of patient-centered care on patient outcomes: a systematic review. Br J Nurs. 2015;24(7):394–400.CrossRef
38.
go back to reference Fredericks S, Lapum J, Hui G. Applying patient centered care to the design and implementation of cardiovascular surgical interventions: implications for practice. Br J Card Nurs. 2015;10(4):170–4.CrossRef Fredericks S, Lapum J, Hui G. Applying patient centered care to the design and implementation of cardiovascular surgical interventions: implications for practice. Br J Card Nurs. 2015;10(4):170–4.CrossRef
39.
go back to reference Fredericks S, Yau T. Educational intervention reduces complications and re-hospitalizations after heart surgery. West J Nurs Res. 2013;35(10):1251–65.CrossRef Fredericks S, Yau T. Educational intervention reduces complications and re-hospitalizations after heart surgery. West J Nurs Res. 2013;35(10):1251–65.CrossRef
40.
go back to reference Fredericks S, DaSilva M. An examination of the postdischarge recovery experience of patients who have had heart surgery. J Nurs Healthc Chronic Illn. 2010;2(4):281–91.CrossRef Fredericks S, DaSilva M. An examination of the postdischarge recovery experience of patients who have had heart surgery. J Nurs Healthc Chronic Illn. 2010;2(4):281–91.CrossRef
Metadata
Title
Impact of the Medicare hospital readmissions reduction program on vulnerable populations
Authors
Yunwei Gai
Dessislava Pachamanova
Publication date
01-12-2019
Publisher
BioMed Central
Keyword
Pneumonia
Published in
BMC Health Services Research / Issue 1/2019
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-019-4645-5

Other articles of this Issue 1/2019

BMC Health Services Research 1/2019 Go to the issue