Literature DB >> 24799574

Socioeconomic status and readmissions: evidence from an urban teaching hospital.

Jianhui Hu, Meredith D Gonsahn, David R Nerenz.   

Abstract

The Centers for Medicare and Medicaid Services (CMS) Hospital Readmissions Reduction Program has focused attention on ways to reduce thirty-day readmissions and on factors affecting readmission risk. Using inpatient data from an urban teaching hospital, we examined how elements of individual characteristics and neighborhood socioeconomic status influenced the likelihood of readmission under a single fixed organizational and staffing structure. Patients living in high-poverty neighborhoods were 24 percent more likely than others to be readmitted, after demographic characteristics and clinical conditions were adjusted for. Married patients were at significantly reduced risk of readmission, which suggests that they had more social support than unmarried patients. These and previous findings that document socioeconomic disparities in readmission raise the question of whether CMS's readmission measures and associated financial penalties should be adjusted for the effects of factors beyond hospital influence at the individual or neighborhood level, such as poverty and lack of social support.

Entities:  

Keywords:  Disparities; Health Reform; Hospitals; Medicare; Quality Of Care

Mesh:

Year:  2014        PMID: 24799574     DOI: 10.1377/hlthaff.2013.0816

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  74 in total

1.  Impact of Risk Adjustment for Socioeconomic Status on Risk-adjusted Surgical Readmission Rates.

Authors:  Laurent G Glance; Arthur L Kellermann; Turner M Osler; Yue Li; Wenjun Li; Andrew W Dick
Journal:  Ann Surg       Date:  2016-04       Impact factor: 12.969

2.  Care transitions: it's the how, not just the what.

Authors:  Jing Li; Mark V Williams
Journal:  J Gen Intern Med       Date:  2015-05       Impact factor: 5.128

3.  Nonprofit Hospital Community Benefit Spending and Readmission Rates.

Authors:  Krisda H Chaiyachati; Mingyu Qi; Rachel M Werner
Journal:  Popul Health Manag       Date:  2019-05-29       Impact factor: 2.459

4.  Meaningful Use and Hospital Performance on Post-Acute Utilization Indicators.

Authors:  Yanick N Brice; Karen E Joynt; Christopher P Tompkins; Grant A Ritter
Journal:  Health Serv Res       Date:  2017-03-02       Impact factor: 3.402

5.  Preventable Hospitalization Rates and Neighborhood Poverty among New York City Residents, 2008-2013.

Authors:  Angelica Bocour; Maryellen Tria
Journal:  J Urban Health       Date:  2016-12       Impact factor: 3.671

6.  Reliability of 30-Day Readmission Measures Used in the Hospital Readmission Reduction Program.

Authors:  Michael P Thompson; Cameron M Kaplan; Yu Cao; Gloria J Bazzoli; Teresa M Waters
Journal:  Health Serv Res       Date:  2016-10-21       Impact factor: 3.402

7.  Identifying distinct risk profiles to predict adverse events among community-dwelling older adults.

Authors:  Melissa O'Connor; Alexandra Hanlon; Elizabeth Mauer; Salimah Meghani; Ruth Masterson-Creber; Sherry Marcantonio; Ken Coburn; Janet Van Cleave; Joan Davitt; Barbara Riegel; Kathryn H Bowles; Susan Keim; Sherry A Greenberg; Justine S Sefcik; Maxim Topaz; Dexia Kong; Mary Naylor
Journal:  Geriatr Nurs       Date:  2017-05-04       Impact factor: 2.361

8.  Comparison of Readmission Rates After Acute Myocardial Infarction in 3 Patient Age Groups (18 to 44, 45 to 64, and ≥65 Years) in the United States.

Authors:  Rohan Khera; Snigdha Jain; Ambarish Pandey; Vijay Agusala; Dharam J Kumbhani; Sandeep R Das; Jarett D Berry; James A de Lemos; Saket Girotra
Journal:  Am J Cardiol       Date:  2017-08-04       Impact factor: 2.778

9.  Accountable Care Organizations: Ensuring Focus on Cardiovascular Health.

Authors:  Kavita K Patel; Joaquin E Cigarroa; Jeffrey Nadel; Deborah J Cohen; Eric C Stecker
Journal:  Circulation       Date:  2015-08-18       Impact factor: 29.690

10.  Seasonality and Readmission after Heart Failure, Myocardial Infarction, and Pneumonia.

Authors:  Neel M Butala; Eric A Secemsky; Jason H Wasfy; Kevin F Kennedy; Robert W Yeh
Journal:  Health Serv Res       Date:  2017-08-31       Impact factor: 3.402

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