Near Miss Research in the Healthcare System
Ting-ting Feng, Xin Zhang, Ling-ling Tan, Di Liu, Li-cao Dai, Hua-ping Liu
Abstract
OBJECTIVES: The aim of this study was to depict a comprehensive description of near miss research and clarify research gaps. BACKGROUND: Learning from near miss can provide early warnings and is critical for proactive and prospective risk management. Because of the lack of structured reviews, there is little knowledge about how near miss management has been managed in the past. METHODS: This review was conducted following the Arksey and O'Malley's methodology and reported by the PRISMA Extension for Scoping Reviews. RESULTS: Sixty-seven research articles were included. The results revealed that the most investigated fields include near miss reporting, near miss characteristics, and good catch project. Poor theoretical investigation, underreporting, and inconsistent outcome indicators are major problems. CONCLUSIONS: Solely understanding causes of near misses cannot guarantee effective learning; we also need to apply appropriate learning theories. Advanced technologies should be applied to solve long-standing underreporting issues. Accurate and consistent indicators should be applied in near miss research and management.