Literature DB >> 26969578

Understanding Racial and Ethnic Disparities in Postsurgical Complications Occurring in U.S. Hospitals.

Whitney P Witt1, Rosanna M Coffey2, Lorena Lopez-Gonzalez3, Marguerite L Barrett4, Brian J Moore2, Roxanne M Andrews5, Raynard E Washington6.   

Abstract

OBJECTIVE: To examine the role of patient, hospital, and community characteristics on racial and ethnic disparities in in-hospital postsurgical complications. DATA SOURCES: Healthcare Cost and Utilization Project, 2011 State Inpatient Databases; American Hospital Association Annual Survey of Hospitals; Area Health Resources Files; Centers for Medicare & Medicaid Services Hospital Compare database.
METHODS: Nonlinear hierarchical modeling was conducted to examine the odds of patients experiencing any in-hospital postsurgical complication, as defined by Agency for Healthcare Research and Quality Patient Safety Indicators. PRINCIPAL
FINDINGS: A total of 5,474,067 inpatient surgical discharges were assessed using multivariable logistic regression. Clinical risk, payer coverage, and community-level characteristics (especially income) completely attenuated the effect of race on the odds of postsurgical complications. Patients without private insurance were 30 to 50 percent more likely to have a complication; patients from low-income communities were nearly 12 percent more likely to experience a complication. Private, not-for-profit hospitals in small metropolitan or micropolitan areas and higher nurse-to-patient ratios led to fewer postsurgical complications.
CONCLUSIONS: Race does not appear to be an important determinant of in-hospital postsurgical complications, but insurance and community characteristics have an effect. A population-based approach that includes improving the socioeconomic context may help reduce disparities in these outcomes. © Health Research and Educational Trust.

Entities:  

Keywords:  Postsurgical complications; community socioeconomic status; health disparities; health insurance; racial/ethnic differences in health care; surgery

Mesh:

Year:  2016        PMID: 26969578      PMCID: PMC5264108          DOI: 10.1111/1475-6773.12475

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


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