Issue |
SHS Web Conf.
Volume 149, 2022
International Conference on Social Science 2022 “Integrating Social Science Innovations on Post Pandemic Through Society 5.0” (ICSS 2022)
|
|
---|---|---|
Article Number | 03043 | |
Number of page(s) | 4 | |
Section | Social Science | |
DOI | https://doi.org/10.1051/shsconf/202214903043 | |
Published online | 18 November 2022 |
Functional Factors Related to Nursing Performance in Inpatient Installation
Faculty of Economic, Manado State University, Indonesia
* Corresponding author: sjeddie.r.watung89@gmail.com
Nurses have a major role to play in providing timely, quality health services in hospitals. As nursing performance is directly related to patient outcomes in the inpatient installation, identifying factors related to nursing performance at various levels could contribute to improving those outcomes. Method: A cross-sectional descriptive design was employed with a convenience sample of 59 nurses having worked at least 6 months in the inpatient installation. Data collected using a questionnaire filled out by the employees themselves and data were analyzed univariately through frequency distribution table and bivariate analysis with chi-square test. The results of the study indicated that nurses have rated the following as below average:Motivation (β=0.036, P<0.01), competency (β=0.792, P<0.01), supervision (β=0.058, P<0.05), and workload (β=0.019, P<0.01) have significant effect on nursing performance. Conclusion: This study ighlighted that motivation, supervision, and workload were significant predictors of nursing performance. Hospital organization should give more attention to factors that contribute to organizational commitments to improve nursing performance.
Key words: Competency / Motivation / Inpatient installation / Nursing performance
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.