2024年埃塞俄比亚南奥罗米亚卫生专业人员对电子病历系统实施的准备程度和影响因素:一项横断面研究

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES
Frontiers in digital health Pub Date : 2025-04-10 eCollection Date: 2025-01-01 DOI:10.3389/fdgth.2025.1531315
Miesa Gelchu, Geleta Chala, Gemechis Tuke, Gelgelo Wodessa, Angefa Ayele, Terefu Yambo, Anteneh Fikrie
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引用次数: 0

摘要

背景:电子病历系统正在高收入国家的医疗机构中逐步引入,但在埃塞俄比亚等资源匮乏的国家中,其采用仍然有限。关于卫生专业人员实施电子病历系统的准备情况以及影响这种准备情况的因素的信息缺乏,特别是在研究环境中。目的:本研究旨在评估南奥罗米亚州医疗保健专业人员实施电子病历系统的准备情况。方法:从2024年5月1日至30日,在埃塞俄比亚南部Borena和West Guji地区的公立医院对384名卫生专业人员进行了一项基于设施的横断面研究,采用自填问卷。数据录入采用Epi Data 4.6版本,分析采用SPSS 27.0版本。该研究使用多变量逻辑回归分析影响卫生专业人员实施电子病历系统的因素,评估调整后的优势比,95%置信区间和p值低于0.05,这被认为具有统计学意义。结果:60.4%的卫生专业人员[95% CI:(55.5-65.3%)]表示愿意使用电子病历系统。与电子病历系统准备程度相关的因素包括年龄较小[AOR = 2.66, 95% CI:(1.06-6.67)]、个人电脑拥有量[AOR = 3.54, 95% CI:(1.76-7.11)]、足够的计算机技能[AOR = 2.49, 95% CI:(1.41-4.39)]、较高的计算机素养[AOR = 2.67, 95% CI:(1.53-4.66)]、对电子病历系统的了解[AOR = 2.56, 95% CI:(1.53-4.29)]和对电子病历系统的良好态度[AOR = 2.77, 95% CI:(1.66-4.63)]。结论:研究表明,卫生专业人员对电子病历系统的准备程度受到年龄、计算机拥有量、技能和积极态度等因素的影响。干预措施应针对这些因素,特别是在老年卫生专业人员和数字素养有限的人员中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Health professionals' readiness for and factors influencing electronic medical record systems implementation in Southern Oromia, Ethiopia, 2024: a cross-sectional study.

Background: The electronic medical record system is gradually being introduced in healthcare settings in high-income countries, but its adoption in low-resource settings like Ethiopia remains limited. There is a dearth of information regarding the readiness of health professionals to implement Electronic Medical Records system and the factors influencing this readiness, particularly in the study setting.

Objective: The study aimed to evaluate the readiness of healthcare professionals in Southern Oromia for the implementation of the electronic medical record system.

Methods: A facility-based cross-sectional study was conducted using self-administered questionnaires among 384 health professionals from May 1-30, 2024, at public hospitals in the Borena and West Guji zones in southern Ethiopia. Epi Data version 4.6 and SPSS version 27.0 were used for data entry and analysis, respectively. The study used multivariable logistic regression to analyse factors influencing health professionals' readiness to implement electronic medical record systems, assessing adjusted odds ratios with a 95% confidence interval and a p-value below 0.05, which is considered to declare statistical significance.

Results: Health professionals, 60.4% [95% CI: (55.5-65.3%)] expressed readiness to utilize the Electronic Medical Record system. Factors associated with electronic medical record system readiness included younger age [AOR = 2.66, 95% CI: (1.06-6.67)], personal computer ownership [AOR = 3.54, 95% CI: (1.76-7.11)], adequate computer skills [AOR = 2.49, 95% CI: (1.41-4.39)], high computer literacy [AOR = 2.67, 95% CI: (1.53-4.66)], knowledge of electronic medical record system [AOR = 2.56, 95% CI: (1.53-4.29)], and a favorable attitude towards electronic medical record system [AOR = 2.77, 95% CI: (1.66-4.63)].

Conclusions: The study indicates that readiness for electronic medical record systems among health professionals is influenced by factors like younger age, computer ownership, skills, and positive attitudes. Interventions should target these factors, especially among older health professionals and those with limited digital literacy.

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