The Hybrid Multiple-Criteria Decision-Making Model for Home Healthcare Nurses' Job Satisfaction Evaluation and Improvement

Abstract

Objectives: To investigate and evaluate the key factors related to job satisfaction performance of home healthcare nurses (HHNs). Methods: A total of 31 HHNs from three community hospitals in Zhejiang province were invited to participate in the study. They completed a questionnaire survey based on the home healthcare nurse job satisfaction scale (HHNJS) from February to March 2022. Consistent fuzzy preference relation (CFPR) methods and important-performance analysis (IPA) were used to obtain the attribute weights and performance for HHNs job satisfaction. Results: The results showed that the attributes of C ₁₃, C ₁₄, C ₁₅, C ₂₃, C ₂₄, C ₄₂, C ₅₁, and C ₅₂ were key factors influencing HHNs job satisfaction. Conclusion: The hybrid multiple-criteria decision-making (MCDM) model can help home-healthcare-agency administrators better understand the key factors related to HHNs job satisfaction and establish reasonable improvement strategies.

Keywords: consistent fuzzy preference relations (CFPRs); home healthcare nurse job satisfaction scale (HHNJS); importance-performance analysis (IPA); job satisfaction evaluation and improvement; multiple criteria decision-making (MCDM).