Differences in Hospital Readmission Risk across All Payer Groups in South Carolina.
To evaluate differences in hospital readmission risk across all payers in South Carolina (SC).



South Carolina Revenue and Fiscal Affairs Office (SCRFA) statewide all payer claims database including 2,476,431 hospitalizations in SC acute care hospitals between 2008 and 2014.



We compared the odds of unplanned all-cause 30-day readmission for private insurance, Medicare, Medicaid, uninsured, and other payers and examined interaction effects between payer and index admission characteristics using generalized estimating equations.



SCRFA receives claims and administrative health care data from all SC health care facilities in accordance with SC state law.



Odds of readmission were lower for females compared to males in private, Medicare, and Medicaid payers. African Americans had higher odds of readmission compared to whites across private insurance, Medicare, and Medicaid, but they had lower odds among the uninsured. Longer length of stay had the strongest association with readmission for private and other payers, whereas an increased number of comorbidities related to the highest readmission odds within Medicaid.



Associations between index admission characteristics and readmission likelihood varied significantly with payer. Findings should guide the development of payer-specific quality improvement programs.
Health Sciences South Carolina, Columbia, SC.|Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC.
Hrishikesh
H
Chakraborty
Ralph H. Johnson VA Medical Center, Charleston, SC.|Division of General Internal Medicine, Department of Medicine, The Medical University of South Carolina, Charleston, SC.
Robert Neal
RN
Axon
Health Sciences South Carolina, Columbia, SC.|Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC.
Jordan
J
Brittingham
Health Sciences South Carolina, Columbia, SC.|Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC.
Genevieve Ray
GR
Lyons
The South Carolina Partnership for Health, Columbia, SC.
Laura
L
Cole
Health Sciences South Carolina, Columbia, SC.|Department of Pediatrics, University of South Carolina School of Medicine, Columbia, SC.
Christine B
CB
Turley
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D005006:Ethnicity / Q000706:statistics & numerical data; D005260:Female; D006761:Hospitals; D006801:Humans; D007345:Insurance Claim Review / Q000706:statistics & numerical data*; D008297:Male; D008484:Medicaid / Q000706:statistics & numerical data; D017057:Medically Uninsured / Q000706:statistics & numerical data; D006278:Medicare / Q000706:statistics & numerical data; D008875:Middle Aged; D010359:Patient Readmission / Q000706:statistics & numerical data*; D012189:Retrospective Studies; D012307:Risk Factors; D012737:Sex Factors; D013022:South Carolina; D014481:United States
Hospital readmission; administrative data; all payer; hospitals
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