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Relationships among Non-Nursing Tasks, Nursing Care Left Undone, Nurse Outcomes and Medical Errors in Integrated Nursing Care Wards in Small and Medium-Sized General Hospitals.
- Source :
- Journal of Korean Academy of Nursing; Feb2021, Vol. 51 Issue 1, p27-39, 13p, 4 Charts
- Publication Year :
- 2021
-
Abstract
- Purpose: This study aimed to identify the degree of non-nursing tasks and nursing care left undone in integrated nursing care wards, and examine their relationships with nurses' burnout, job satisfaction, turnover intentions, and medical errors. Methods: A cross-sectional questionnaire survey was conducted. Data were collected using self-report questionnaires from 346 nurses working in 20 wards of seven small and medium-sized general hospitals, and analyzed using multiple regression and multiple logistic regression analysis with the SPSS WIN 25.0 program. Results: The mean score for non-nursing tasks was 7.32±1.71, and that for nursing care left undone was 4.42 ± 3.67. An increase in non-nursing tasks (β= .12, p = .021) and nursing care left undone (β = .18, p < .001) led to an increase in nurses' burnout (F = 6.26, p < .001). As nursing care left undone (β = .13, p = .018) increased, their turnover intentions also (F = 3.96, p < .001) increased, and more medical errors occurred (odds ratio 1.08, 95% confidence interval 1.02~1.15). Conclusion: Non-nursing tasks and nursing care left undone are positively associated with nurses' burnout, turnover intentions, and the occurrence of medical errors. Therefore, it is important to reduce non-nursing tasks and nursing care left undone in order to deliver high quality nursing care and in turn increase patient safety. [ABSTRACT FROM AUTHOR]
- Subjects :
- EVALUATION of medical care
PSYCHOLOGICAL burnout
STATISTICS
NURSING
CONFIDENCE intervals
MULTIPLE regression analysis
CROSS-sectional method
SELF-evaluation
MEDICAL errors
LABOR turnover
JOB satisfaction
PUBLIC hospitals
NURSES
QUESTIONNAIRES
HOSPITAL wards
DESCRIPTIVE statistics
INTENTION
STATISTICAL correlation
DATA analysis
DATA analysis software
ODDS ratio
Subjects
Details
- Language :
- Korean
- ISSN :
- 20053673
- Volume :
- 51
- Issue :
- 1
- Database :
- Supplemental Index
- Journal :
- Journal of Korean Academy of Nursing
- Publication Type :
- Academic Journal
- Accession number :
- 149296446
- Full Text :
- https://doi.org/10.4040/jkan.20201