Abstract: Objective To develop a database of nursing adverse events based on human reliability analysis (HRA), to continuously improve the quality of nursing and management system for adverse care events. Methods The retrospective HRA of 714 nursing adverse events reported from January 2012 to December 2016 was made. Delphi method was used to construct a behavioral impact factor classification system for the operation of nursing adverse events; the expected effect of human reliability of each behavioral impact factor was taken as the reference probability of error by using the analytic hierarchy process (AHP), then human reliability database with the function of human factor analysis and prediction of nursing adverse events was established and applied in clinical departments in 2017. The prediction rate of nursing adverse event predicted by probability of human error was calculated. Results The repetition rate and severity of nursing adverse events caused by human error were decreased after the application of the database (P<0.05). Conclusion Human reliability database for nursing adverse events can reduce the possibility of errors in nursing adverse events and provide data support for the development of new HRA methods.

Key words: human reliability analysis, nursing adverse events database, security management