{"title":"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","authors":"Miesa Gelchu, Geleta Chala, Gemechis Tuke, Gelgelo Wodessa, Angefa Ayele, Terefu Yambo, Anteneh Fikrie","doi":"10.3389/fdgth.2025.1531315","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Objective: </strong>The study aimed to evaluate the readiness of healthcare professionals in Southern Oromia for the implementation of the electronic medical record system.</p><p><strong>Methods: </strong>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 <i>p</i>-value below 0.05, which is considered to declare statistical significance.</p><p><strong>Results: </strong>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)].</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1531315"},"PeriodicalIF":3.2000,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12018405/pdf/","citationCount":"0","resultStr":"{\"title\":\"Health professionals' readiness for and factors influencing electronic medical record systems implementation in Southern Oromia, Ethiopia, 2024: a cross-sectional study.\",\"authors\":\"Miesa Gelchu, Geleta Chala, Gemechis Tuke, Gelgelo Wodessa, Angefa Ayele, Terefu Yambo, Anteneh Fikrie\",\"doi\":\"10.3389/fdgth.2025.1531315\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Objective: </strong>The study aimed to evaluate the readiness of healthcare professionals in Southern Oromia for the implementation of the electronic medical record system.</p><p><strong>Methods: </strong>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 <i>p</i>-value below 0.05, which is considered to declare statistical significance.</p><p><strong>Results: </strong>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)].</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":73078,\"journal\":{\"name\":\"Frontiers in digital health\",\"volume\":\"7 \",\"pages\":\"1531315\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12018405/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in digital health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3389/fdgth.2025.1531315\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in digital health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fdgth.2025.1531315","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
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.