ArticleThe Libyan journal of medicine2019
Exploring critical factors influencing nurses' intention to use tablet PC in Patients' care using an integrated theoretical model.
Article in The Libyan journal of medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Acceptance of Digital Technology Among Nursing Staff in Geriatric Long-Term Care: Systematic Review.JMIR nursing · 2026Pooled it
- Investigating Clinicians' Intentions and Influencing Factors for Using an Intelligence-Enabled Diagnostic Clinical Decision Support System in Health Care Systems: Cross-Sectional Survey.Journal of medical Internet research · 2025Article
- Integrating Digital Assistive Technologies Into Care Processes: Mixed Methods Study.JMIR medical education · 2024Article
- Investigating Patients' Continuance Intention Toward Conversational Agents in Outpatient Departments: Cross-sectional Field Survey.Journal of medical Internet research · 2022Article
- Role of Infodemics on Social Media in the Development of People's Readiness to Follow COVID-19 Preventive Measures.International journal of environmental research and public health · 2022Article
- Nursing Students' Acceptance Intention of a Smart Device, Information Literacy, and Problem-Solving Confidence.Healthcare (Basel, Switzerland) · 2021Article
- Preschool Teachers' Technology Acceptance During the COVID-19: An Adapted Technology Acceptance Model.Frontiers in psychology · 2021Article
- Antecedents of Intention to Adopt Mobile Health (mHealth) Application and Its Impact on Intention to Recommend: An Evidence from Indonesian Customers.International journal of telemedicine and applications · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of health information technology (HIT) is expected to deliver benefits for patients, nurses, physicians, and organizations, but the benefits of HIT can only be attained if nurses accept and intend to use it as they are the leading user-group. The use of the tablet is becoming commonplace in healthcare organizations to improve patient care. The current study incorporates Technology Acceptance Model2 (TAM2) with two antecedents, facilitating condition and personal, to identify and understand the factors that influence nurses' intention to use the Tablet PC. The survey methodology was used to collect data from the nurses working in a regional healthcare center in Taiwan. The structural equation modeling (SEM) technique was employed to analyze the research framework. A total of 110 valid responses for analysis. The results suggest that the modified proposed research framework explains about 41.7% of the variance of nurses' behavioral intention. The partial least squares (PLS) regression indicated that perceived usefulness, subjective norm, and personal a positive and significant influence on nurses' intention to use the Tablet PC. But concerning the perceived ease of use, the insignificant path coefficient was reported. The finding also indicated that personal on the research model is much stronger than the subjective norm on Tablet PC performance. The proposed research framework contributes to the conclusive explanation for understanding nurses' intention to use. The current study brings perspectives from the technological and attitudinal differences that have largely been missing in the existing literature of the nurses' intention to use HIT. Thus, health care providers must take these factors into consideration as the findings of the current study advance theory and contribute to the basis for future study intended for enhancing our understanding of nurses' adoption behavior regarding HIT.
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Registered trials
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