ArticleBMC health services research2024
Understanding the predictors of health professionals' intention to use electronic health record system: extend and apply UTAUT3 model.
Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Perceived value but persistent barriers: A qualitative study of healthcare worker experiences with the Impilo electronic health record system in rural Zimbabwe.PLOS digital health · 2026Article
- Explaining the Use Behavior of Digital Technologies in Pediatric Rehabilitation: Structural Equation Modeling Analysis of a Cross-Sectional European Survey.Journal of medical Internet research · 2026Article
- Digital Governance at the Street Level: A Mixed-Methods Study of Systemic Resilience and 'Human-in-the-Loop' Telemedicine in Rural Thailand.International journal of environmental research and public health · 2026Article
- Observational
- Influencing factors of continuance intention of medical applications for the elderly.Scientific reports · 2026Article
- AI anxiety and adoption intention in higher education based on an extended TAM-UTAUT and PLS-SEM analysis.Scientific reports · 2026Article
- Determinants of Mobile Learning Behavioral Intention Usage Among Nurses: A Nexus of UTAUT2 Model and Information System Success Model.Journal of nursing management · 2026Article
- Factors promoting eRegister and data use for evidence-based midwifery practice in Lesotho: a qualitative study.BMJ open · 2025Article
- Digital evolution and emerging inequalities in healthcare: a scoping review through the lens of knowledge management.BMC health services research · 2025Article
- On the perspective of doctors' intention-a hybrid BYOD model.BMC health services research · 2025Article
- Exploring the Association Between Behavioral Determinants and Intention to Use a Chatbot-Led Parenting Intervention by Caregivers of Adolescent Girls in South Africa: Cross-Sectional Study.JMIR pediatrics and parenting · 2025Article
- Electronic Nursing Records: Importance for Nursing and Benefits of Implementation in Health Information Systems-A Scoping Review.Nursing reports (Pavia, Italy) · 2024Article
- The Impact of Leader-Member Relationships on Team Effectiveness Through Speaking Up and Silence: A Cross-Sectional Study in Rural Chinese Hospitals.Journal of healthcare leadership · 2024Article
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8 authors.
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Abstract
backgroundThe implementation of Electronic Health Record (EHR) systems is a critical challenge, particularly in low-income countries, where behavioral intention plays a crucial role. To address this issue, we conducted a study to extend and apply the Unified Theory of Acceptance and Use of Technology 3 (UTAUT3) model in predicting health professionals' behavioral intention to use EHR systems.
methodsA quantitative research approach was employed among 423 health professionals in Southwest Ethiopia. We assessed the validity of the proposed model through measurement and structural model statistics. Analysis was done using SPSS AMOS version 23. Hypotheses were tested using structural equation modeling (SEM) analysis, and mediation and moderation effects were evaluated. The associations between exogenous and endogenous variables were examined using standardized regression coefficients (β), 95% confidence intervals, and p-values, with a significance level of p-value < 0.05.
resultsThe proposed model outperformed previous UTAUT models, explaining 84.5% (squared multiple correlations (R
conclusionThe extended UTAUT3 model accurately predicts health professionals' intention to use EHR systems and provides a valuable framework for understanding technology acceptance in healthcare. We recommend that digital health implementers and concerned bodies consider the comprehensive range of direct, indirect, and moderating effects. By addressing personal innovativeness, performance expectancy, attitude, hedonic motivation, technology anxiety, and the gender-specific impact of social influence, interventions can effectively enhance behavioral intention toward EHR systems. It is crucial to design gender-specific interventions that address the differences in social influence and personal innovativeness between males and females.
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