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Journal of Medical Internet Research
Article . 2023 . Peer-reviewed
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Nurses’ Willingness and Demand for Internet+Home Care Services and the Associated Factors in Municipal Hospitals in China: Cross-Sectional Survey

Authors: Jinghui Zhang; Sha Peng; Jianmei Hou; Guiyuan Ma; Yanhui Liu; Yuhua Fan; Lingxia Luo; +1 Authors

Nurses’ Willingness and Demand for Internet+Home Care Services and the Associated Factors in Municipal Hospitals in China: Cross-Sectional Survey

Abstract

Background Developing Internet+home care (IHC) services is a promising way to address the problems related to population aging, which is an important global issue. However, IHC services are in their infancy in China. Limited studies have investigated the willingness and demand of nurses in municipal hospitals to provide IHC services. Objective This study aims to investigate the willingness and demand of nurses in municipal hospitals in China to provide IHC services and analyze the factors to promote IHC development in China. Methods This cross-sectional study used multistage sampling to recruit 9405 nurses from 10 hospitals in 5 regions of China. A self-designed questionnaire with good reliability and validity was used to measure nurses’ willingness and demand for providing IHC services. Data analysis used the chi-square test, Welch t test, binary logistic regression analysis, and multiple linear regression analysis. Results Nurses were highly willing to provide IHC services and preferred service distances of <5 km and times from 8 AM to 6 PM. An individual share >60% was the expected service pay sharing. Job title, educational level, monthly income, and marital status were associated with nurses’ willingness to provide IHC services in binary logistic regression analysis. Supervising nurses were 1.177 times more likely to express a willingness to provide IHC services than senior nurses. Nurses with a bachelor's degree had a 1.167 times higher likelihood of expressing willingness to provide IHC services than those with a junior college education or lower. Married nurses were 1.075 times more likely to express a willingness than unmarried nurses. A monthly income >¥10,000 increased the likelihood of nurses’ willingness to provide IHC services, by 1.187 times, compared with an income <¥5000. Nurses’ total mean demand score for IHC services was 17.38 (SD 3.67), with the highest demand being privacy protection. Multiple linear regression analysis showed that job title, monthly income, and educational level were associated with nurses’ demand for IHC services. Supervising nurses (B=1.058, P<.001) and co-chief nurses or those with higher positions (B=2.574, P<.001) reported higher demand scores than senior nurses. Monthly incomes of ¥5000 to ¥10,000 (B=0.894, P<.001) and >¥10,000 (B=1.335, P<.001), as well as a bachelor's degree (B=0.484, P=.002) and at least a master's degree (B=1.224, P=.02), were associated with higher demand scores compared with a monthly income <¥5000 and junior college education or lower, respectively. Conclusions Nurses in municipal hospitals showed a high willingness and demand to provide IHC services, with differences in willingness and demand by demographic characteristics. Accordingly, government and hospitals should regulate the service period, service distance, and other characteristics according to nurses’ willingness and demand and establish relevant laws and regulations to ensure the steady and orderly development of IHC services.

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Keywords

Original Paper, China, Computer applications to medicine. Medical informatics, R858-859.7, Nurses, Reproducibility of Results, Home Care Services, Hospital-Based, Telemedicine, Cross-Sectional Studies, Surveys and Questionnaires, Humans, Public aspects of medicine, RA1-1270, Hospitals, Municipal

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
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gold
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