ORIGINAL RESEARCH article
Front. Public Health
Sec. Public Health Policy
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1510931
A Delphi-Based Framework for Optimizing Nurse Staffing in Chinese Hospitals
Provisionally accepted- 1Guangdong Provincial People's Hospital, Guangzhou, China
- 2Guangdong Pharmaceutical University, Guangzhou, China
- 3Jinan University, Guangzhou, Guangdong Province, China
- 4Shantou University, Shantou, Guangdong Province, China
- 5He You International Hospital Group, Guangzhou, China
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Objective: This study aimed to develop a hospital nursing human resource allocation evaluation system under the Healthy China initiative.Aims: The system offers data-driven staffing recommendations to enhance patient safety, nursing quality, and healthcare sustainability. It supports managers in efficient resource allocation based on workload, patient needs, and nursing competencies. Goals include reducing nurse workload, boosting job satisfaction, and lowering turnover for better patient outcomes.Methods: Through literature review and expert interviews, we built an evaluation index pool and questionnaire. Twenty-six nursing management experts were selected for their extensive experience. Indicator deletion used a variation coefficient > 0.25 and expert consensus. Two Delphi rounds screened indexes, with weights calculated via the analytic hierarchy process.Results: The system comprises 3 primary, 7 secondary, and 25 tertiary indexes.Conclusion: This study provides empirical evidence and recommendations for nursing management in China, presenting the first Delphi - AHP - based staffing system. It offers a new framework meeting China's healthcare needs and advancing nursing resource management. We recommend hospitals regularly use the system and suggest future research on its long - term impacts.Impact: The indicators, derived from studies and expert opinions, offer practical insights for management decisions.
Keywords: Nursing, Management, Dephi Method, Hierarchical analysis, human resource
Received: 14 Oct 2024; Accepted: 28 May 2025.
Copyright: © 2025 WANG, Li, Pu, Tiemei, Xie, Chen, Cui, Xu and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Peng Xu, Guangdong Provincial People's Hospital, Guangzhou, China
Huigen Huang, Guangdong Provincial People's Hospital, Guangzhou, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.