ReviewJournal of multidisciplinary healthcare2026
Acceptance of Electronic Medical Records Among Practitioner Nurses and Nurse Managers Using the UTAUT Framework in Hospital Settings: A Scoping Review.
Review in Journal of multidisciplinary healthcare, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
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Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The implementation of Electronic Medical Record (EMR) represents a strategic effort to improve efficiency, accuracy, and coordination in healthcare services. However, the success of EMR adoption is strongly influenced by user acceptance, particularly among practitioner nurses and nurse managers who are directly involved in documentation processes and clinical decision-making. The Unified Theory of Acceptance and Use of Technology (UTAUT) has been widely applied to understand the determinants of technology acceptance in various healthcare contexts, including hospitals. Objective: This scoping review aims to map the factors influencing EMR acceptance among practitioner nurses and nurse managers using the UTAUT framework. Methods: A scoping review was conducted following Arksey and O'Malley's methodological framework and reported in accordance with PRISMA-ScR guidelines. Literature searches were performed in PubMed, EBSCOhost, and ScienceDirect using keywords related to "Electronic Medical Record", "UTAUT", and "nurses". Eligible studies were analyzed thematically based on the four primary UTAUT constructs: performance expectancy, effort expectancy, social influence, and facilitating conditions. Results: Ten eligible studies were included, with most studies treating nurses as a homogeneous group and only limited evidence differentiating practitioner nurses and nurse managers. The dominant factors influencing EMR acceptance included perceived usefulness for work performance, ease of system use, social support from leadership and peers, and the availability of organizational resources and training. Differences in perceptions were found between practitioner nurses and nurse managers, particularly regarding facilitating conditions and social influence. Conclusion: This scoping review identified performance expectancy, organizational support, and infrastructure readiness as key factors commonly reported in the literature in relation to nurses' acceptance of EMR. Managerial strategies may focus on enhancing digital competencies, ensuring adequate technical support, and promoting active engagement of nursing personnel in the digitalization of clinical documentation.
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Registered trials
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