Patient safety incidents during interhospital transport of patients: A prospective analysis

Int Emerg Nurs. 2018 Jan:36:22-26. doi: 10.1016/j.ienj.2017.07.008. Epub 2017 Sep 20.

Abstract

Introduction: Interhospital transport of critically ill patients is at risk of complications. The objective of the study was to prospectively record patient safety incidents that occurred during interhospital transports and to determine their risk factors.

Methods: We prospectively collected data during a fifteen-month period in 2 hospitals. Patient and transport characteristics were collected using a specifically designed tool. Patient safety incidents were appraised for health-care associated harm, and categorized as technical, operational, and communication problems.

Results: Our study included 688 patients who were transferred to or from one of both hospitals by physician or nurse led transport, with complete records. A patient safety incident was reported in 16.7% of transports, health-care associated harm was noted in 3.9% of cases. In multivariate analysis, three factors remained significantly associated with an increased risk of healthcare-associated harm: operational incidents (odds ratio=144.93, 95% CI=37.55-767.50, P<0.001), communication incidents (odds ratio=11.05, 95% CI=3.02-52.99, P<0.001) and the Modified Sequential Organ Failure Assessment (M-SOFA) score (odds ratio=1.198, 95% CI=1.038-1.40, P=0.017).

Conclusions: The observed rate of patient safety incidents during interhospital transfers is lower than previously reported in the literature. However, there is limited previous work done on this topic. Operational and communication incidents, and a higher M-SOFA score are significantly associated with increase odds of harmful incident. These findings call for stricter preparation of transfers, with clear and standardized communication.

Keywords: Adverse events; Emergency medical services; Interhospital transport; Patient safety; Patient transfer; Risk management.

MeSH terms

  • Critical Illness / nursing
  • Humans
  • Logistic Models
  • Medical Errors / nursing
  • Medical Errors / statistics & numerical data*
  • Multivariate Analysis
  • Patient Safety / standards*
  • Patient Transfer / standards*
  • Patient Transfer / trends
  • Prospective Studies