Efficiency evaluation of surgical nursing wards based on data envelopment analysis
- PMID: 35924317
- DOI: 10.1111/jonm.13747
Efficiency evaluation of surgical nursing wards based on data envelopment analysis
Abstract
Aims: This study aimed to evaluate the efficiency and influencing factors of surgical ward nursing.
Background: High-quality development of public hospitals and implementation of nursing fine management require improvements to promote nursing efficiency.
Method: This study examined input data, such as number of beds, nurses, and nursing hours, and output data on discharged person-times, surgical output, and case mix index of released patients, in 40 surgical wards in China between September 2020 and August 2021. Nursing efficiency was assessed and analysed using data envelopment analysis, and changes in efficiency were dynamically evaluated using the Malmquist index analysis.
Results: The average total technical efficiency, pure technical efficiency, and scale efficiency were 78%, 94%, and 82%, respectively. In addition, 81% and 67% of surgical wards had input redundancy and output insufficiency, respectively. The monthly average total factor productivity was 118%, and the overall efficiency increased month after month.
Conclusion: Overall, nursing service efficiency was low, which was limited by scale efficiency, pure technical efficiency, or both.
Implications for nursing management: Data envelopment analysis could help nursing managers optimize nursing human resource allocation and nursing performance allocation.
Keywords: Malmquist index analysis; data envelopment analysis; nursing efficiency; surgical nursing.
© 2022 John Wiley & Sons Ltd.
References
REFERENCES
-
- Aiken, L. H., Sloane, D. M., Bruyneel, L., Van den Heede, K., Griffiths, P., Busse, R., Diomidous, M., Kinnunen, J., Kozka, M., Lesaffre, E., McHugh, M. D., Moreno-Casbas, M. T., Rafferty, A. M., Schwendimann, R., Scott, P. A., Tishelman, C., van Achterberg, T., & Sermeus, W. (2014). Nurse staffing and education and hospital mortality in nine European countries: A retrospective observational study. Lancet, 383(9931), 1824-1830. https://doi.org/10.1016/S0140-6736(13)62631-8
-
- Antunes, B., Bastos, L., Hamacher, S., & Bozza, F. A. (2021). Using data envelopment analysis to perform benchmarking in intensive care units. PLoS ONE, 16(11), e260025. https://doi.org/10.1371/journal.pone.0260025
-
- Bai, G., Zhaoxia, W., & Jia, R. (2017). Dynamic post management practice and effect analysis in emergency day ward. The Chinese Journal of Modern Nursing, 19(23), 2537-2540. https://doi.org/10.3760/cma.j.issn.1674-2907.2017.19.022
-
- Barsanti, S., Bunea, A. M., & Colombini, G. (2021). What counts in nursing homes' quality and efficiency? Results from data envelopment analysis in Italy. Inquiry: An Interdisciplinary Journal of Philosophy, 58, 1448313838. https://doi.org/10.1177/00469580211059730
-
- China National Health Commission. (2021, February 9). Reply to Recommendation No. 5272 of the Third Session of the 13th National People's Congress. http://www.nhc.gov.cn/wjw/jiany/202102/6374250dd9b04205822b8a1d82a26394....
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
