ArticleBMC medical informatics and decision making2019
"Assessment of the social influence and facilitating conditions that support nurses' adoption of hospital electronic information management systems (HEIMS) in Ghana using the unified theory of acceptance and use of technology (UTAUT) model".
Article in BMC medical informatics and decision making, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 98 citations in OpenAlex.
- Unified Theory of Acceptance and Use of Technology Questionnaire in Swedish Prehospital Care: Translation, Cross-Cultural Adaptation, and Pilot Psychometric Study.JMIR formative research · 2026Article
- Utilisation of electronic health record systems in clinical nursing practice in Ghana: predictors, benefits, and challenges.BMC nursing · 2026Article
- Personal and professional use of mobile health applications among Iranian nurses: a cross-sectional study.BMC health services research · 2026Article
- Determinants of healthcare professionals' acceptance of DeepSeek-assisted clinical decision support applications: a cross-sectional study.BMC medical informatics and decision making · 2026Article
- The effects of hospital information system adoption on techno-stress and job satisfaction of nurses working in pediatric clinics.BMC nursing · 2025Article
- The Digital Transformation of Healthcare Through Intelligent Technologies: A Path Dependence-Augmented-Unified Theory of Acceptance and Use of Technology Model for Clinical Decision Support Systems.Healthcare (Basel, Switzerland) · 2025Article
- Understanding Psychosocial Barriers to Healthcare Technology Adoption: A Review of TAM Technology Acceptance Model and Unified Theory of Acceptance and Use of Technology and UTAUT Frameworks.Healthcare (Basel, Switzerland) · 2025Review
- Facilitator and Barrier to Health Information System Use from Health Professionals Perspective: A Scoping Review.Journal of multidisciplinary healthcare · 2025Review
- Factors influencing older adults' adoption of AI voice assistants: extending the UTAUT model.Frontiers in psychology · 2025Article
- Factors of Nurses' Using Mobile Applications to Provide Home Nursing Care: A Social Cognitive Theory Perspective.Journal of nursing management · 2025Article
- The acceptability and effectiveness of artificial intelligence-based chatbot for hypertensive patients in community: protocol for a mixed-methods study.BMC public health · 2024Article
- User engagement with organizational mHealth stress management intervention - A mixed methods study.Internet interventions · 2024Article
- Exploring the Value of Real-Time Medication Adherence Monitoring: A Qualitative Study.Pharmacy (Basel, Switzerland) · 2023Article
- Acceptance of clinical decision support system to prevent venous thromboembolism among nurses: an extension of the UTAUT model.BMC medical informatics and decision making · 2022Article
- The Mediating Influence of the Unified Theory of Acceptance and Use of Technology on the Relationship Between Internal Health Locus of Control and Mobile Health Adoption: Cross-sectional Study.Journal of medical Internet research · 2021Article
- Nurses and the acceptance of innovations in technology-intensive contexts: the need for tailored management strategies.BMC health services research · 2021Article
- Willingness to Adopt Health Information Among Social Question-and-Answer Community Users in China: Cross-sectional Survey Study.Journal of medical Internet research · 2021Article
- The Determinants for Food Safety Push Notifications on Continuance Intention in an E-Appointment System for Public Health Medical Services: The Perspectives of UTAUT and Information System Quality.International journal of environmental research and public health · 2020Article
- Article
- The Contributing Factors to Nurses' Behavioral Intention to Use Hospital Information Technologies in Ghana.SAGE open nursingArticle
Corrections and comments
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Authors and funding
6 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHospital electronic information management systems (HEIMS) are widely used in Ghana, and hence its performance must be carefully assessed. Nurses as clinical health personnel are the largest cluster of hospital staff and are the pillar of healthcare delivery. Therefore, they play a crucial role in the adoption and assessment of HEIMSs in Ghana. This report sought to assess the "Social Influence" (SI) and "Facilitating Conditions" (FC) that support Nurses' Acceptance of HEIMS in Ghana using the "Unified Theory of Acceptance and Use of Technology" (UTAUT) model.
methodsThis study applied a non-experimental survey design. An electronic platform questionnaire on smartphones was used to collect data on 660 nurses. Statistically, AMOS Structural Equation Modelling (SEM) version 22.0 was employed to examine the research model.
results"Behavioral Intention" (BI) to HEIMS use was significantly predicted by SI and FC (p < 0.001). Notably, both SI and FC had an influence on nurses' use behavior (UB) with behavioral intention (BI) as the mediator, which explains a total of 42.1% variance in the intention of nurses to use HEIMS. Likewise, UB of HEIMS was also significantly predicted by SI (R
conclusionNurses' adoption of HEIMS in terms of the UB was influenced by SI and BI, whiles SI and FC had the strongest influence on BI (serving as mediator) of UB to adopt and use HEIMS among the nurses in Ghanaian hospitals.
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Registered trials
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.