PURPOSE: To describe the development and psychometric testing of the Recovered Medical Error Inventory (RMEI). DESIGN AND METHODS: Content analysis of structured interviews with expert critical care registered nurses (CCRNs) was used to empirically derive a 25-item RMEI. The RMEI was pilot tested with 345 CCRNs. The data set was randomly divided to use the first half for reliability testing and the second half for validation. A principal components analysis with Varimax rotation was conducted. Cronbach's alpha values were examined. A t test and Pearson correlation were used to compare scores of the two samples. FINDINGS: The RMEI consists of 25 items and two subscales. Evidence for initial reliability includes a total scale alpha of .9 and subscale alpha coefficients of .88 (mistake) and .75 (poor judgment). CONCLUSIONS: The RMEI subscales have satisfactory internal consistency reliability and evidence for construct validity. Additional testing is warranted. CLINICAL RELEVANCE: A tool to measure CCRNs' experiences with recovering medical errors allows quantification of nurse surveillance in promoting safe care and preventing unreimbursed hospital costs for treating nosocomial events.
PURPOSE: To describe the development and psychometric testing of the Recovered Medical Error Inventory (RMEI). DESIGN AND METHODS: Content analysis of structured interviews with expert critical care registered nurses (CCRNs) was used to empirically derive a 25-item RMEI. The RMEI was pilot tested with 345 CCRNs. The data set was randomly divided to use the first half for reliability testing and the second half for validation. A principal components analysis with Varimax rotation was conducted. Cronbach's alpha values were examined. A t test and Pearson correlation were used to compare scores of the two samples. FINDINGS: The RMEI consists of 25 items and two subscales. Evidence for initial reliability includes a total scale alpha of .9 and subscale alpha coefficients of .88 (mistake) and .75 (poor judgment). CONCLUSIONS: The RMEI subscales have satisfactory internal consistency reliability and evidence for construct validity. Additional testing is warranted. CLINICAL RELEVANCE: A tool to measure CCRNs' experiences with recovering medical errors allows quantification of nurse surveillance in promoting safe care and preventing unreimbursed hospital costs for treating nosocomial events.
Authors: Patricia C Dykes; Srijesa Khasnabish; Zoe Burns; Lesley E Adkison; Lois Alfieri; Michael Bogaisky; Diane L Carroll; Eileen J Carter; Ann C Hurley; Emily Jackson; Susan Kurian; Mary Ellen Lindros; Virginia Ryan; Maureen Scanlan; Kelly Sessler; Alexandra Shelley; Linda B Spivack; Mary-Ann Walsh; David W Bates; Jason S Adelman Journal: J Patient Saf Date: 2022-03-01 Impact factor: 2.243