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

IF 7.5 1区医学 Q1 NURSING

International Journal of Nursing Studies Pub Date : 2024-10-01 DOI:10.1016/j.ijnurstu.2024.104920

Jin Yang , Bingxin Ma , Shixiang Chen , Yaqi Huang , Yulu Wang , Ying Chen , Xiaojun Zhang , Tingting Ma , Yue Zhao , Yaogang Wang , Qi Lu

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引用次数: 0

Abstract

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.

查看原文本刊更多论文

护士对在 Uber 式 "互联网+"护理服务机构工作的偏好：离散选择实验。

背景：中国的 "互联网+"护理服务是一种 "线上申请、线下服务 "的Uber式居家护理服务，在过去五年中不断发展。注册护士对这些 Uber 式 "互联网+"护理服务的偏好对改善人力资源管理和提高服务效率至关重要，但这方面的研究仍然很少：本研究旨在探讨注册护士对 Uber 式 "互联网+"护理服务的偏好，并从供应方的角度提出优化建议：设计：利用离散选择实验进行横断面研究：参与者：211 名参与 "互联网+"护理服务的注册护士：调查使用在线调查平台匿名进行。受访者可根据收入、安全保障、患者及家属配合度、通勤时间和服务类型这五个关键属性在两个备选方案中做出选择。混合对数模型估算了受访者对属性的陈述偏好。计算了相对重要性得分、支付意愿估计值以及服务类型接受率模拟。为考察偏好的异质性，还进行了分组分析和看似无关的回归估计：共生成了 3202 个选择观测值。按偏好强度排序，与注册护士选择 Uber 式 "互联网+"护理服务相关的五个属性（按相对重要性评分）如下：安全保障（30.89%）、收入（27.41%）、患者和家属合作（18.47%）、服务类型（11.96%）和通勤时间（11.27%）。将安全保障从低水平提升到高水平的效用相当于月收入增加 31.81%，相当于 2586.14 元人民币。亚组分析显示，高年资护士比低年资护士更重视安全保障（β = 1.421 vs.β = 0.725; P = 0.011），未婚护士更倾向于家庭和护理人员的合作（β = 1.105 vs.β = 0.314; P = 0.023）：Uber式 "互联网+"护理服务的调度算法模型中应突出注册护士偏好的强度和异质性，从而提高Uber式 "互联网+"护理服务的效率和人性化。Tweetable摘要：注册护士优先考虑安全保障，承认Uber式 "互联网+"护理服务中的异质性偏好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Nursing Studies 医学-护理

CiteScore

15.00

自引率

2.50%

发文量

181

审稿时长

21 days

期刊介绍： The International Journal of Nursing Studies (IJNS) is a highly respected journal that has been publishing original peer-reviewed articles since 1963. It provides a forum for original research and scholarship about health care delivery, organisation, management, workforce, policy, and research methods relevant to nursing, midwifery, and other health related professions. The journal aims to support evidence informed policy and practice by publishing research, systematic and other scholarly reviews, critical discussion, and commentary of the highest standard. The IJNS is indexed in major databases including PubMed, Medline, Thomson Reuters - Science Citation Index, Scopus, Thomson Reuters - Social Science Citation Index, CINAHL, and the BNI (British Nursing Index).