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

Discrete choice experiment Internet plus nursing service Preference Registered nurse

Journal

International journal of nursing studies
ISSN: 1873-491X
Titre abrégé: Int J Nurs Stud
Pays: England
ID NLM: 0400675

Informations de publication

Date de publication:
01 Oct 2024
Historique:
received: 20 03 2024
revised: 20 09 2024
accepted: 29 09 2024
medline: 9 10 2024
pubmed: 9 10 2024
entrez: 8 10 2024
Statut: aheadofprint

Résumé

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. This study aimed to explore registered nurses' preferences for Uber-style Internet Plus nursing services and provide optimization recommendations from a supply-side perspective. A cross-sectional study utilising a discrete choice experiment. Two public tertiary hospitals located in Tianjin, China, which have implemented Internet Plus nursing services. 211 registered nurses who participated in Internet Plus nursing services. 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. 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). 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. Registered nurses prioritise safety and security, acknowledging heterogeneous preferences in Uber-style Internet Plus nursing services.

Sections du résumé

BACKGROUND 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 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 METHODS
A cross-sectional study utilising a discrete choice experiment.
SETTING(S) METHODS
Two public tertiary hospitals located in Tianjin, China, which have implemented Internet Plus nursing services.
PARTICIPANTS METHODS
211 registered nurses who participated in Internet Plus nursing services.
METHODS 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 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 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 CONCLUSIONS
Registered nurses prioritise safety and security, acknowledging heterogeneous preferences in Uber-style Internet Plus nursing services.

Identifiants

pubmed: 39378739
pii: S0020-7489(24)00233-5
doi: 10.1016/j.ijnurstu.2024.104920
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104920

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jin Yang (J)

School of Nursing, Tianjin Medical University, Tianjin 300070, China. Electronic address: yangjin1216@tmu.edu.cn.

Bingxin Ma (B)

School of Nursing, Tianjin Medical University, Tianjin 300070, China. Electronic address: mabingxin1125@tmu.edu.cn.

Shixiang Chen (S)

School of Nursing, Shandong Second Medical University, Weifang 261053, China. Electronic address: 17695849458@163.com.

Yaqi Huang (Y)

School of Nursing, The Hong Kong Polytech University, China.

Yulu Wang (Y)

School of Nursing, Tianjin Medical University, Tianjin 300070, China.

Ying Chen (Y)

Department of Oncology Clinical Research and Development, Jiangsu Hengrui Pharmaceuticals, Jiangsu, China.

Xiaojun Zhang (X)

School of Nursing, Tianjin Medical University, Tianjin 300070, China.

Tingting Ma (T)

School of Nursing, Tianjin Medical University, Tianjin 300070, China.

Yue Zhao (Y)

School of Nursing, Tianjin Medical University, Tianjin 300070, China. Electronic address: yuezhao35@hotmail.com.

Yaogang Wang (Y)

School of Public Health, Tianjin Medical University, Tianjin 300070, China. Electronic address: YaogangWANG@tmu.edu.cn.

Qi Lu (Q)

School of Nursing, Tianjin Medical University, Tianjin 300070, China. Electronic address: luqi8674866@hotmail.com.

Classifications MeSH