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

Health Serv Res. 2017 Feb;52(1):220-243. doi: 10.1111/1475-6773.12475. Epub 2016 Mar 9.

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.

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

MeSH terms

  • Black or African American / statistics & numerical data
  • Ethnicity / statistics & numerical data*
  • Healthcare Disparities / ethnology
  • Healthcare Disparities / statistics & numerical data*
  • Hispanic or Latino / statistics & numerical data
  • Hospitals / standards
  • Hospitals / statistics & numerical data
  • Humans
  • Insurance, Health / statistics & numerical data
  • Logistic Models
  • Postoperative Complications / epidemiology*
  • Postoperative Complications / ethnology
  • Poverty / statistics & numerical data
  • Racial Groups / statistics & numerical data*
  • Risk Factors
  • United States / epidemiology
  • White People / statistics & numerical data