TY - JOUR
T1 - The effect of workload on nurses' non-observance errors in medication administration processes
T2 - A cross-sectional study
AU - Jin, Haizhe
AU - Chen, Han
AU - Munechika, Masahiko
AU - Sano, Masataka
AU - Kajihara, Chisato
N1 - Funding Information:
This study is supported by the National Natural Science Foundation of China (Grant No. 71471003) and the PhD research startup foundation of Science and Technology Department of Liaoning Province, China (Grant No. 76114007).
PY - 2018/10
Y1 - 2018/10
N2 - Aim: This study, based on actual medical error cases involving nurses, sought to identify non-observance errors—defying the standard operating procedures—in medication administration processes, and clarify the relationship between nursing workload and such behaviours. Methods: Based on a cross-sectional survey, non-observance error cases were collected from three Japanese hospitals between January and December 2014, using self-reported data from participating nurses. Standard operating procedures and actual error content were compared to identify non-observance errors and workload. The statistical analysis was used to determine the relationship between non-observance error and workload. Results: A total of 637 error cases were found in administering medication, of which 163 (25.6%) were workload-related non-observance errors. Individual analysis of the 163 cases identified seven workload issues that caused non-observance error and six categories of non-observance errors. The relationship between workload and such errors was also clarified. Conclusion: Our findings clarify the influence of workload on non-observance errors and may also help identify adjacent areas for specific improvements.
AB - Aim: This study, based on actual medical error cases involving nurses, sought to identify non-observance errors—defying the standard operating procedures—in medication administration processes, and clarify the relationship between nursing workload and such behaviours. Methods: Based on a cross-sectional survey, non-observance error cases were collected from three Japanese hospitals between January and December 2014, using self-reported data from participating nurses. Standard operating procedures and actual error content were compared to identify non-observance errors and workload. The statistical analysis was used to determine the relationship between non-observance error and workload. Results: A total of 637 error cases were found in administering medication, of which 163 (25.6%) were workload-related non-observance errors. Individual analysis of the 163 cases identified seven workload issues that caused non-observance error and six categories of non-observance errors. The relationship between workload and such errors was also clarified. Conclusion: Our findings clarify the influence of workload on non-observance errors and may also help identify adjacent areas for specific improvements.
KW - administering medicine process
KW - health care
KW - non-observance error
KW - nursing workload
KW - partial least squares (PLS)
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U2 - 10.1111/ijn.12679
DO - 10.1111/ijn.12679
M3 - Article
C2 - 30003644
AN - SCOPUS:85050582851
VL - 24
JO - International Journal of Nursing Practice
JF - International Journal of Nursing Practice
SN - 1322-7114
IS - 5
M1 - e12679
ER -