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Nurses' job preferences on the internet plus nursing service program: a discrete choice experiment
Yan He1,2, Guanrui Feng3, Chenchen Wang4
1Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, 5/F, Block 1, To Yuen Building, 31 To Yuen Street, Tat Chee Avenue, Kowloon, Hong Kong, China.
BMC Nursing
|February 15, 2024
Summary
Registered nurses in China
Area of Science:
- Healthcare Management
- Nursing Workforce Studies
- Public Health Policy
Background:
- China's Internet Plus Nursing Service (IPNS) initiative faces a critical nursing shortage.
- Effective recruitment and retention policies are essential for the success of IPNS.
- Registered nurses provide community and home-based services via online applications.
Purpose of the Study:
- Identify key job characteristics influencing sharing nurses' career decisions in IPNS.
- Quantify the impact of specific job attributes on nurse preferences.
- Inform policy development for nurse recruitment and retention in IPNS.
Main Methods:
- Discrete Choice Experiment (DCE) to evaluate job attribute preferences.
- Qualitative methods (interviews) informed attribute selection.
- Multinomial logit and Latent Class Analysis (LCA) models used for data analysis.
Main Results:
- Income per visit was the most significant factor influencing job decisions.
- Personal safety management, duration per visit, medical risk prevention, and training were also key attributes.
- Significant heterogeneity in nurse preferences was observed across different classes.
Conclusions:
- Sharing nurses prioritize income and personal safety in career choices.
- There is a critical need for enhanced personal safety measures for nurses.
- Findings provide valuable insights for Chinese government policymakers.
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