Functional Status and Hospital Readmissions Using the Medical Expenditure Panel Survey

ABSTRACT BACKGROUND Hospital readmissions are expensive and they may signal poor quality of care. Whether functional status is related to hospital readmissions using a representative U.S sample remains unexplored . OBJECTIVE We aimed to assess the relationship between functional status and all-cause...

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Bibliographic Details
Published in:Journal of general internal medicine : JGIM 2015-07, Vol.30 (7), p.965-972
Main Authors: Soley-Bori, Marina, Soria-Saucedo, Rene, Ryan, Colleen M., Schneider, Jeffrey C., Haynes, Alex B., Gerrard, Paul, Cabral, Howard J., Lillemoe, Keith D., Kazis, Lewis E.
Format: Article
Language:English
Subjects:
Adolescent
Adult
Aged
Comorbidity
Female
Health Expenditures - statistics & numerical data
Health Status
Health Status Indicators
Hospitalization - statistics & numerical data
Hospitals
Humans
Internal Medicine
Length of Stay - statistics & numerical data
Male
Medicine
Medicine & Public Health
Middle Aged
Original Research
Patient admissions
Patient Readmission - economics
Patient Readmission - statistics & numerical data
Physical Fitness
Quality of care
Retrospective Studies
United States
Young Adult
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Summary:ABSTRACT BACKGROUND Hospital readmissions are expensive and they may signal poor quality of care. Whether functional status is related to hospital readmissions using a representative U.S sample remains unexplored . OBJECTIVE We aimed to assess the relationship between functional status and all-cause 30-day hospital readmissions using a representative sample of the US population. DESIGN This was a retrospective observational study (2003–2011). PATIENTS The study included 3,772 patients who completed the SF-12 before being hospitalized. Three hundred and eighteen (8.4 %) were readmitted within 30 days after being discharged. MEASUREMENTS The Medical Expenditure Panel Survey (MEPS) was employed. Functional status was measured with the Short-Form 12-Item Health Survey Version 2® (SF-12). The probability of being readmitted was estimated using a logistic model controlling for demographic characteristics, comorbid conditions, insurance coverage, physical (PCS) and mental (MCS) summaries of the SF-12, reason for hospitalization, length of hospital stay, region, and residential area. RESULTS A one-unit difference in PCS reduced the odds of readmission by 2 % (odds ratio 0.98 [95 % CI, 0.97 to 0.99]; p  
ISSN:0884-8734
1525-1497
DOI:10.1007/s11606-014-3170-9