Psychometric characteristics of physician-nurse communication scale in medication errors based on Reason Model

Abstract:
Introduction
Medication errors as a one of the medical error is the most challenging factors related to patient safety. According to the Reason Human Error model, professional communication is one of the variables that influence the occurrence of drug errors by nurses.
Aim: The aim was psychometric characteristics of “physician-nurse communication scale” in medication errors based on Reason Model.
Method
This research a methodological study that for determing the validity and reliability of nurse-physician communication scale (2003 Gittell), a confirmatory factor analysis was performed. After translation of the scale, based on the pattern of Wilde et al. (2005), construct validity was done by factor analysis and formal validity with nursing experts and nurses. Study population were nurses that working in different wards of teaching hospitals in Shahid Beheshti University of Medical Sciences. Based on inclusion criteria, 150 nurses were selected by convenience sampling method. To examine internal consistency and stability, Cronbach’s alpha coefficient and correlation coefficient of test-retest were used and factor validity used for construct validity. Data was analyzed using SPSS 18 software.
Results
The mean of nurses’ age was (34.8±7.87) years and majority of them were female. The mean work experiences was (10.10±6.80)years. Factor analysis, rotated matrix determined one factors. Also reliability using Cranach’s alpha coefficient for internal consistency showed high reliability of scale (α=0.80) and intra class correlations (ICC) was (0.74).
Conclusion
Nursing managers can use this scale to examine professional nurse- physician communication and ultimately improve their communication in health systems. In order to nurses would be decrease medication errors that they resulted from interprofessional communication.
Language:
Persian
Published:
Quarterly Journal of Nursing Management, Volume:5 Issue: 3, 2016
Pages:
19 to 26
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