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中国护士使用移动护理应用程序的行为意愿的决定因素。

Determinants of the behavioral intention to use a mobile nursing application by nurses in China.

机构信息

Medical College, Xinyang Normal University, Xinyang, China.

PICC Outpatient, Qilu Hospital of Shandong University, Jinan, China.

出版信息

BMC Health Serv Res. 2021 Mar 12;21(1):228. doi: 10.1186/s12913-021-06244-3.


DOI:10.1186/s12913-021-06244-3
PMID:33712012
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7953719/
Abstract

BACKGROUND: Although a mobile nursing application has began to adopt in nursing, few studies have focused on nurses' behavioral intention of it. The objective of this study is to gain insight into the behavioral intention of nurses, i.e. chinese nurses of the future, to use a mobile nursing application. This study adopted an extension of the Unified Theory of Acceptance and Use of Technology to examine Chinese nurses' acceptance of a mobile nursing application. METHODS: A total of 1207 nurses participated in the cross-sectional survey. The majority of nurses were female (96.2%). The mean age of the participants was 34.18 (SD 7.39). The hypothesized relationships were tested using AMOS structural equation model. RESULTS: All constructs exhibited an acceptable level of reliability and validity with Cα and CR > 0.7 and AVE > 0.5. An extension of the Unified Theory of Acceptance and Use of Technology Model had good explanatory power for nurses' behavioral intention of a mobile nursing application. Although effort expectancy and perceived risks had a surprisingly insignificant effect on nurses' behavioral intention to use a mobile nursing application, performance expectancy, social influence, facilitating conditions, self-efficacy, and perceived incentives demonstrated significant influence with β = .259, p < .001, β = .296, p < .001, β = .063, p = .037, β = .344, p < .001, β = .091, p = .001, respectively. CONCLUSION: With 70.2% of the variance in behavioral intention to use a mobile nursing app explained by this model, it could be helpful for potential adopters, and further investigation should test the actual usage behavior for a mobile nursing app and investigate the related factors.

摘要

背景:尽管移动护理应用已经开始在护理领域得到采用,但很少有研究关注护士对其的行为意愿。本研究旨在深入了解未来中国护士对移动护理应用的使用意愿。本研究采用统一技术接受和使用理论的扩展模型来检验中国护士对移动护理应用的接受程度。

方法:共有 1207 名护士参与了横断面调查。护士大多数为女性(96.2%)。参与者的平均年龄为 34.18(SD 7.39)岁。使用 AMOS 结构方程模型检验了假设关系。

结果:所有构念均表现出可接受的信度和效度水平,Cα 和 CR>0.7,AVE>0.5。统一技术接受和使用理论模型的扩展对护士对移动护理应用的行为意愿具有良好的解释力。尽管努力期望和感知风险对护士使用移动护理应用的行为意愿的影响出乎意料地不显著,但绩效期望、社会影响、便利条件、自我效能感和感知激励对护士使用移动护理应用的行为意愿有显著影响,β=0.259,p<0.001,β=0.296,p<0.001,β=0.063,p=0.037,β=0.344,p<0.001,β=0.091,p=0.001。

结论:该模型解释了使用移动护理应用意愿的 70.2%的方差,可以为潜在的采用者提供帮助,进一步的研究应该测试移动护理应用的实际使用行为,并调查相关因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/7953719/15b0331bc179/12913_2021_6244_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/7953719/cd3c11f02772/12913_2021_6244_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/7953719/15b0331bc179/12913_2021_6244_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/7953719/cd3c11f02772/12913_2021_6244_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3852/7953719/15b0331bc179/12913_2021_6244_Fig2_HTML.jpg

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本文引用的文献

[1]
Navigational Needs and Preferences of Hospital Patients and Visitors: What Prospects for Smart Technologies?

Int J Environ Res Public Health. 2021-1-22

[2]
Adoption of telemedicine applications among Saudi citizens during COVID-19 pandemic: An alternative health delivery system.

J Infect Public Health. 2020-10-23

[3]
Psychometric analysis of a measure of acceptance of new technologies (UTAUT), applied to the use of haptic virtual simulators in dental students.

Eur J Dent Educ. 2020-7-9

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Int J Med Inform. 2020-4-24

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Curr Opin Psychol. 2020-12

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BMC Med Inform Decis Mak. 2020-2-27

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Comput Inform Nurs. 2020-2

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JMIR Mhealth Uhealth. 2019-11-1

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Beyond TAM and UTAUT: Future directions for HIT implementation research.

J Biomed Inform. 2019-10-17

[10]
A comparison study of methods for estimation of a burn surface area: Lund and Browder, e-burn and Mersey Burns.

Burns. 2019-9-24

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