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人格特质和高层管理支持在护士对电子健康记录系统持续使用意愿中的作用。

The Role of Personality and Top Management Support in Continuance Intention to Use Electronic Health Record Systems among Nurses.

机构信息

Department of Managing Health Services and Hospitals, Faculty of Business Rabigh, College of Business (COB), King Abdulaziz University, Jeddah 21991, Saudi Arabia.

School of Business Management, College of Business, University Utara Malaysia (UUM), Sintok 06010, Kedah Darul Aman, Malaysia.

出版信息

Int J Environ Res Public Health. 2022 Sep 5;19(17):11125. doi: 10.3390/ijerph191711125.


DOI:10.3390/ijerph191711125
PMID:36078837
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9518177/
Abstract

This study examines nurses' Continuance Intention (CI) to use electronic health records (EHRs) through a combination of three conceptual frameworks: the Unified Theory of Acceptance and Use of Technology (UTAUT), the theory of expectation-confirmation (ECT), and the Five-Factor Model (FFM). A model is developed to examine and predict the determinants of nurses' CI to use EHRs, including top management support (TMS) and the FFM's five personality domains. Data were collected from a survey of 497 nurses, which were analyzed using partial least squares. No significant relationship was found between TMS and CI. The study revealed that performance expectancy significantly mediated the influences of two different hypotheses of two predictors: agreeableness and openness to testing CI. A significant moderating impact of conscientiousness was found on the relationship between performance expectancy and CI and the relationship between social influence and CI. The findings of this study indicated that rigorous attention to the personality of individual nurses and substantial TMS could improve nurses' CI to use EHRs. A literature gap was filled concerning the mediating effects of performance expectancy on the FFM-CI relationship, and the moderation effects of Conscientiousness on UTAUT constructs and CI are another addition to the literature. The results are expected to assist government agencies, health policymakers, and health institutions all over the globe in their attempts to understand the post-adoption use of EHRs.

摘要

本研究通过整合三个概念框架来考察护士使用电子健康记录 (EHR) 的持续意愿 (CI):即统一技术接受和使用理论 (UTAUT)、期望确认理论 (ECT) 和五因素模型 (FFM)。该研究构建了一个模型,旨在检验和预测影响护士使用 EHR 的 CI 的决定因素,包括高层管理支持 (TMS) 和 FFM 的五个人格领域。研究数据来自对 497 名护士的调查,采用偏最小二乘法进行分析。研究结果表明,TMS 与 CI 之间没有显著关系。研究结果显示,绩效期望显著中介了两个不同预测因素的两个假设对 CI 的影响:宜人性和开放性测试 CI。研究还发现,尽责性对绩效期望与 CI 之间的关系以及社会影响与 CI 之间的关系具有显著的调节作用。本研究结果表明,严格关注个体护士的人格和大量的 TMS 可以提高护士使用 EHR 的 CI。本研究还填补了 FFM-CI 关系中绩效期望的中介作用以及尽责性对 UTAUT 结构和 CI 的调节作用方面的文献空白,这为文献增加了新的内容。研究结果有望帮助全球各国政府机构、卫生政策制定者和医疗机构理解 EHR 的采用后使用情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83ea/9518177/ccec7e46c9e4/ijerph-19-11125-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83ea/9518177/0c1eeab824ab/ijerph-19-11125-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83ea/9518177/747417f4c73e/ijerph-19-11125-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83ea/9518177/ccec7e46c9e4/ijerph-19-11125-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83ea/9518177/0c1eeab824ab/ijerph-19-11125-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83ea/9518177/747417f4c73e/ijerph-19-11125-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83ea/9518177/ccec7e46c9e4/ijerph-19-11125-g003.jpg

相似文献

[1]
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[3]
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[6]
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[7]
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[8]
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[10]
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[3]
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[4]
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[5]
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The Use of a Technology Acceptance Model (TAM) to Predict Patients' Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability.

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[7]
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本文引用的文献

[1]
Exposure Detection Applications Acceptance: The Case of COVID-19.

Int J Environ Res Public Health. 2022-6-14

[2]
Using COMPASS () Theory to Augment Implementation of Digital Health Solutions.

Int J Environ Res Public Health. 2022-6-10

[3]
Evaluation of an Electronic Medical Record Module for Nursing Documentation in Paediatric Palliative Care: Involvement of Nurses with a Think-Aloud Approach.

Int J Environ Res Public Health. 2022-3-18

[4]
Perception of Occupational and Environmental Risks and Hazards among Mineworkers: A Psychometric Paradigm Approach.

Int J Environ Res Public Health. 2022-3-12

[5]
Remotely Monitoring COVID-19 Patient Health Condition Using Metaheuristics Convolute Networks from IoT-Based Wearable Device Health Data.

Sensors (Basel). 2022-2-5

[6]
Deploying digital health tools within large, complex health systems: key considerations for adoption and implementation.

NPJ Digit Med. 2022-1-27

[7]
Planning for Implementation Success of an Electronic Cross-Facility Health Record for Pediatric Palliative Care Using the Consolidated Framework for Implementation Research (CFIR).

Int J Environ Res Public Health. 2022-1-1

[8]
A model to measure self-assessed proficiency in electronic medical records: Validation using maturity survey data from Canadian community-based physicians.

Int J Med Inform. 2020-6-10

[9]
Beyond validation: getting health apps into clinical practice.

NPJ Digit Med. 2020-2-3

[10]
Continuance compliance of privacy policy of electronic medical records: the roles of both motivation and habit.

BMC Med Inform Decis Mak. 2018-12-18

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