ArticleBMC health services research2021
Determinants of the behavioral intention to use a mobile nursing application by nurses in China.
Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
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Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Enhancing digital readiness and capability in healthcare: a systematic review of interventions, barriers, and facilitators.BMC health services research · 2025Pooled it
- Health workers' adoption of digital health technology in low- and middle-income countries: a systematic review and meta-analysis.Bulletin of the World Health Organization · 2025Pooled it
- Acceptance of a Mobile Oral Healthcare Tool Among Nursing Home Caregivers: A Cross-Sectional Study Using the Technology Acceptance Model.Gerodontology · 2026Article
- The Influence of Work Values on Nursing Career Intentions: A Study of Multiple Mediating Factors.Journal of nursing management · 2026Article
- Mental health practitioners' perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study.BMC health services research · 2025Article
- Intention to use mobile health in antenatal care service: Among primary health care unit workers, Bench-Sheko zone, southwest Ethiopia.PLOS digital health · 2025Article
- Chinese music teachers value effectiveness, social, and facilitating factors over ease of use in ICT integration: A PLS-SEM study.PloS one · 2025Article
- Intention to use a health information platform in supportive housing for people with disabilities: An application of the UTAUT model.PloS one · 2025Article
- Intention to use telemonitoring for chronic illness management and its associated factors among nurses and physicians at public hospitals in Bahir Dar, northwest Ethiopia: using a modified UTAUT2 model.Frontiers in health services · 2025Article
- Analyzing health service employees' intention to use e-health systems in southwest Ethiopia: using UTAUT-2 model.BMC health services research · 2024Article
- Analyzing Preceding factors affecting behavioral intention on communicational artificial intelligence as an educational tool.Heliyon · 2024Article
- Factors affecting medical students' intention to use Rain Classroom: a cross-sectional survey.BMC medical education · 2024Article
- Article
- Adopting e-government to monitor public infrastructure projects execution in Nigeria: The public perspective.Heliyon · 2023Article
- Investigating Factors Influencing Medical Practitioners' Resistance to and Adoption of Internet Hospitals in China: Mixed Methods Study.Journal of medical Internet research · 2023Article
- What drives the adoption of online health communities? An empirical study from patient-centric perspective.BMC health services research · 2023Article
- Social Acceptance of Mobile Health among Young Adults in Japan: An Extension of the UTAUT Model.International journal of environmental research and public health · 2022Article
- Stimuli Influencing Engagement, Satisfaction, and Intention to Use Telemedicine Services: An Integrative Model.Healthcare (Basel, Switzerland) · 2022Article
- Factors affecting physicians using mobile health applications: an empirical study.BMC health services research · 2022Article
- Understanding the Drivers of Ghanaian Citizens' Adoption Intentions of Mobile Health Services.Frontiers in public health · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough 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.
methodsA 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.
resultsAll 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.
conclusionWith 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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.