Care Transfers for Patients With Upper Extremity Trauma: Influence of Health Insurance Type

J Hand Surg Am. 2016 Apr;41(4):516-525.e3. doi: 10.1016/j.jhsa.2016.01.010. Epub 2016 Feb 12.

Abstract

Purpose: To understand the differences in transfer incidence for patients with upper extremity trauma by hospital trauma center designation. We hypothesized that patients with public or no insurance were more likely to be transferred to another facility compared with privately insured patients.

Methods: Trauma centers are designated by local authorities and verified by the American College of Surgeons. Using the 2012 National Trauma Data Bank, we examined the probability of being transferred from one center to another for patients who sustained isolated upper extremity trauma. We used multivariable logistic regression with a clustered variance method to adjust for intrahospital correlation to compare risk-adjusted transfer incidence for patients with upper extremity injuries by trauma center designation.

Results: In 2012, 6,214 patients ages 18-64 with isolated upper extremity trauma presented to 477 hospitals. Overall, transfer incidence was significantly higher among level III trauma centers (26%) compared with level II (11%) or level I (2%) trauma centers. Adjusting for patient and hospital characteristics patients with Medicaid were more likely to be transferred from level III trauma centers to another center compared with privately insured patients.

Conclusions: Current regulations may not prevent unnecessary patient transfers based on insurance status among level III trauma centers. Policy makers should compensate or provide incentives to hospitals that take care of poorly insured patients.

Type of study/level of evidence: Economic/decision III.

Keywords: Upper extremity injury; access; emergency; transfer; trauma center.

MeSH terms

  • Adolescent
  • Adult
  • Arm Injuries / epidemiology
  • Arm Injuries / therapy*
  • Databases, Factual
  • Female
  • Humans
  • Insurance Coverage*
  • Insurance, Health*
  • Logistic Models
  • Male
  • Middle Aged
  • Patient Transfer / statistics & numerical data*
  • Trauma Centers*
  • United States / epidemiology
  • Young Adult