Nurses' preferences for working in Uber-style ‘Internet plus’ nursing services: A discrete choice experiment

风格(视觉艺术) 护理部 互联网 心理学 医学 计算机科学 万维网 艺术 文学类
作者
Jin Yang,Bingxin Ma,Shixiang Chen,Yaqi Huang,Yulu Wang,Ying Chen,Xiaojun Zhang,Tingting Ma,Yue Zhao,Yaogang Wang,Qi Lu
出处
期刊:International Journal of Nursing Studies [Elsevier BV]
卷期号:161: 104920-104920 被引量:24
标识
DOI:10.1016/j.ijnurstu.2024.104920
摘要

BACKGROUND: China's 'Internet Plus' nursing services, which are Uber-style home care services with an 'online application, offline service' approach, have been evolving over the past five years. Registered nurses' preference for these Uber-style Internet Plus nursing services are crucial for improving human resource management and service efficiency, yet research in this area remains scarce. OBJECTIVE: This study aimed to explore registered nurses' preferences for Uber-style Internet Plus nursing services and provide optimization recommendations from a supply-side perspective. DESIGN: A cross-sectional study utilising a discrete choice experiment. SETTING(S): Two public tertiary hospitals located in Tianjin, China, which have implemented Internet Plus nursing services. PARTICIPANTS: 211 registered nurses who participated in Internet Plus nursing services. METHODS: The survey was conducted anonymously using an online survey platform. Respondents were presented with choices between two alternatives, based on five key attributes: income, safety and security, patient and family cooperation, commute time, and service type. Mixed logit models estimated the stated preferences for attributes. Relative importance scores, willingness-to-pay estimates, and simulations of service-type uptake rates were calculated. Subgroup analysis and seemingly unrelated regression estimation were performed to examine heterogeneity in preferences. RESULTS: A total of 3202 choice observations were generated. When sorted by the strength of preference, the five attributes related to registered nurses' choice of Uber-style Internet Plus nursing services, measured by their relative importance scores, are as follows: safety and security (30.89 %), income (27.41 %), patient and family cooperation (18.47 %), service type (11.96 %), and commuting time (11.27 %). Elevating safety and security from low to high levels has the same utility as a 31.81 % increase in monthly income, equivalent to 2586.14 yuan. Subgroup analysis showed that senior nurses place more value on safety and security than junior nurses (β = 1.421 vs.β = 0.725; P = 0.011), and unmarried nurses had a stronger preference for family and caregiver cooperation (β = 1.105 vs.β = 0.314; P = 0.023). CONCLUSIONS: The strength and heterogeneity of registered nurses' preferences should be highlighted in the dispatch algorithms model of Uber-style Internet Plus nursing services, thereby enhancing the efficiency and humanity of Uber-style Internet Plus nursing services. TWEETABLE ABSTRACT: Registered nurses prioritise safety and security, acknowledging heterogeneous preferences in Uber-style Internet Plus nursing services.
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