Abstract
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.
| Original language | English |
|---|---|
| Journal | International Journal of Nursing Practice |
| DOIs | |
| Publication status | Accepted/In press - 2018 Jan 1 |
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Keywords
- Administering medicine process
- Health care
- Non-observance error
- Nursing workload
- Partial least squares (PLS)
ASJC Scopus subject areas
- Nursing(all)
Cite this
The effect of workload on nurses' non-observance errors in medication administration processes : A cross-sectional study. / Jin, Haizhe; Chen, Han; Munechika, Masahiko; Sano, Masataka; Kajihara, Chisato.
In: International Journal of Nursing Practice, 01.01.2018.Research output: Contribution to journal › Article
}
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
PY - 2018/1/1
Y1 - 2018/1/1
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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UR - http://www.scopus.com/inward/citedby.url?scp=85050582851&partnerID=8YFLogxK
U2 - 10.1111/ijn.12679
DO - 10.1111/ijn.12679
M3 - Article
C2 - 30003644
AN - SCOPUS:85050582851
JO - International Journal of Nursing Practice
JF - International Journal of Nursing Practice
SN - 1322-7114
ER -