Predictors of Hospital Readmission After Motor Vehicle Crash: Prospective Cohort Study

J Trauma Nurs. 2023 Mar-Apr;30(2):83-91. doi: 10.1097/JTN.0000000000000707.

Abstract

Background: Motor vehicle crash (MVC) is a major public health problem worldwide and contributes to a large burden of death, disability, and economic loss.

Objective: To identify the predictors of hospital readmission in victims of MVC within 1 year after discharge.

Methods: A prospective cohort study conducted with individuals who suffered MVC admitted to a regional hospital and who were followed up for 12 months after discharge. Predictors of hospital readmission were verified by means of Poisson regression models with robust variance, using a hierarchical conceptual model.

Results: Of the 241 patients followed up, 200 were contacted and comprised the population of this study. Of these, 50 (25.0%) reported hospital readmission during the 12-month period after discharge. It was evidenced that being male (relative risk [RR] = 0.58; 95% CI [0.36, 0.95], p = .033) was a protective factor, whereas occurrences of greater severity (RR = 1.77; 95% CI [1.03, 3.02], p = .036), not receiving pre-hospital care (RR = 2.14; 95% CI [1.24, 3.69], p = .006), the occurrence of postdischarge infection (RR = 2.14; 95% CI [1.37, 3.36], p = .001), and having access to rehabilitation treatment (RR = 1.64; 95% CI [1.03, 2.62], p≤ .001) are configured as risk factors for hospital readmission in individuals who have suffered these events.

Conclusion: It was found that gender, trauma severity, pre-hospital care, postdischarge infection, and rehabilitation treatment variables predict hospital readmission in MVC victims within 1 year after discharge.

MeSH terms

  • Aftercare*
  • Female
  • Humans
  • Male
  • Motor Vehicles
  • Patient Discharge
  • Patient Readmission*
  • Prospective Studies