{"title":"埃塞俄比亚西南部奥罗米亚地区转诊医院医疗服务提供者使用个人健康记录的意向及相关因素:使用经修改的接受和使用技术统一理论 2 模型。","authors":"Geleta Nenko Dube, Mulusew Andualem Asemahagn, Yared Mulu, Habtamu Alganeh Guadie, Mohammedjud Hassen Ahmed, Agmasie Damtew Walle, Getu Kassa Bitacha, Temesgen Ayenew Alameraw, Nega Abebe Meshasha","doi":"10.3389/fdgth.2025.1368588","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>A well-informed decision needs the collection of accurate and organized data, which is becoming more essential in the healthcare industry due to the increasing integration of various technologies. The literature has revealed that the magnitude of intention to use personal health records among healthcare providers is low. Consequently, this study aimed to assess healthcare providers' intentions to use personal health records and its factors in Ethiopia.</p><p><strong>Methods: </strong>A facility-based cross-sectional study was conducted among 781 healthcare providers in referral hospitals in the Southwest Oromia region, Ethiopia. A simple sampling technique was used to select the study participants among healthcare providers. A pretested self-administered questionnaire was used to collect the data. The degree of correlation between exogenous and endogenous variables was described and validated using structural equation modeling using AMOS 26.</p><p><strong>Results: </strong>The proportion of intention to use personal health records was 57.6%, 95% CI (53.9-61.2). Factors positively associated with intention to use personal health records were performance expectancy (β = 0.325, <i>P</i> < 0.01), effort expectancy (β = 0.289, <i>P</i> < 0.01), social influence (β = 0.216, <i>P</i> < 0.01), and facilitating condition (β = 0.242, <i>P</i> < 0.01). Age (β = 0.269, <i>P</i> = 0.040, β = 0.326, <i>P</i> < 0.001) positively moderated the relationship between performance expectancy, facilitating conditions to intention to use personal health records.</p><p><strong>Conclusions: </strong>In general, healthcare providers' intention to use personal health records were promising. Healthcare providers' intentions to use personal health records were significantly influenced by performance expectancy, effort expectancy, social influence, and facilitating conditions. Hence, implementers need to give priority to enhancing the provision of a better system, the knowledge and skills of healthcare providers, and awareness creation among staff by providing continuous training.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1368588"},"PeriodicalIF":3.2000,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11893608/pdf/","citationCount":"0","resultStr":"{\"title\":\"Intention to use personal health records and associated factors among healthcare providers in southwest Oromia region referral hospitals, Ethiopia: using the modified unified theory of acceptance and use technology 2 model.\",\"authors\":\"Geleta Nenko Dube, Mulusew Andualem Asemahagn, Yared Mulu, Habtamu Alganeh Guadie, Mohammedjud Hassen Ahmed, Agmasie Damtew Walle, Getu Kassa Bitacha, Temesgen Ayenew Alameraw, Nega Abebe Meshasha\",\"doi\":\"10.3389/fdgth.2025.1368588\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>A well-informed decision needs the collection of accurate and organized data, which is becoming more essential in the healthcare industry due to the increasing integration of various technologies. The literature has revealed that the magnitude of intention to use personal health records among healthcare providers is low. Consequently, this study aimed to assess healthcare providers' intentions to use personal health records and its factors in Ethiopia.</p><p><strong>Methods: </strong>A facility-based cross-sectional study was conducted among 781 healthcare providers in referral hospitals in the Southwest Oromia region, Ethiopia. A simple sampling technique was used to select the study participants among healthcare providers. A pretested self-administered questionnaire was used to collect the data. The degree of correlation between exogenous and endogenous variables was described and validated using structural equation modeling using AMOS 26.</p><p><strong>Results: </strong>The proportion of intention to use personal health records was 57.6%, 95% CI (53.9-61.2). Factors positively associated with intention to use personal health records were performance expectancy (β = 0.325, <i>P</i> < 0.01), effort expectancy (β = 0.289, <i>P</i> < 0.01), social influence (β = 0.216, <i>P</i> < 0.01), and facilitating condition (β = 0.242, <i>P</i> < 0.01). Age (β = 0.269, <i>P</i> = 0.040, β = 0.326, <i>P</i> < 0.001) positively moderated the relationship between performance expectancy, facilitating conditions to intention to use personal health records.</p><p><strong>Conclusions: </strong>In general, healthcare providers' intention to use personal health records were promising. Healthcare providers' intentions to use personal health records were significantly influenced by performance expectancy, effort expectancy, social influence, and facilitating conditions. Hence, implementers need to give priority to enhancing the provision of a better system, the knowledge and skills of healthcare providers, and awareness creation among staff by providing continuous training.</p>\",\"PeriodicalId\":73078,\"journal\":{\"name\":\"Frontiers in digital health\",\"volume\":\"7 \",\"pages\":\"1368588\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-02-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11893608/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in digital health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3389/fdgth.2025.1368588\",\"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.2025.1368588","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}
引用次数: 0
摘要
简介:一个明智的决策需要收集准确和有组织的数据,由于各种技术的日益集成,这在医疗保健行业变得越来越重要。文献显示,意向的大小使用个人健康记录的医疗服务提供者是低。因此,本研究旨在评估埃塞俄比亚医疗保健提供者使用个人健康记录的意图及其因素。方法:在埃塞俄比亚西南奥罗米亚地区转诊医院的781名医疗服务提供者中进行了一项基于设施的横断面研究。一种简单的抽样技术被用于在医疗保健提供者中选择研究参与者。使用预先测试的自我管理问卷来收集数据。外源变量和内源变量之间的相关程度用结构方程模型AMOS 26描述和验证。结果:有意向使用个人健康记录的比例为57.6%,95% CI(53.9 ~ 61.2)。与个人健康档案使用意愿正相关的因素为绩效预期(β = 0.325, P P P P = 0.040, β = 0.326, P)。结论:总体而言,医疗服务提供者使用个人健康档案的意愿是有希望的。医疗服务提供者使用个人健康记录的意向受到绩效预期、努力预期、社会影响和便利条件的显著影响。因此,实施者需要优先考虑提供更好的系统,提高医疗保健提供者的知识和技能,并通过提供持续培训来提高工作人员的认识。
Intention to use personal health records and associated factors among healthcare providers in southwest Oromia region referral hospitals, Ethiopia: using the modified unified theory of acceptance and use technology 2 model.
Introduction: A well-informed decision needs the collection of accurate and organized data, which is becoming more essential in the healthcare industry due to the increasing integration of various technologies. The literature has revealed that the magnitude of intention to use personal health records among healthcare providers is low. Consequently, this study aimed to assess healthcare providers' intentions to use personal health records and its factors in Ethiopia.
Methods: A facility-based cross-sectional study was conducted among 781 healthcare providers in referral hospitals in the Southwest Oromia region, Ethiopia. A simple sampling technique was used to select the study participants among healthcare providers. A pretested self-administered questionnaire was used to collect the data. The degree of correlation between exogenous and endogenous variables was described and validated using structural equation modeling using AMOS 26.
Results: The proportion of intention to use personal health records was 57.6%, 95% CI (53.9-61.2). Factors positively associated with intention to use personal health records were performance expectancy (β = 0.325, P < 0.01), effort expectancy (β = 0.289, P < 0.01), social influence (β = 0.216, P < 0.01), and facilitating condition (β = 0.242, P < 0.01). Age (β = 0.269, P = 0.040, β = 0.326, P < 0.001) positively moderated the relationship between performance expectancy, facilitating conditions to intention to use personal health records.
Conclusions: In general, healthcare providers' intention to use personal health records were promising. Healthcare providers' intentions to use personal health records were significantly influenced by performance expectancy, effort expectancy, social influence, and facilitating conditions. Hence, implementers need to give priority to enhancing the provision of a better system, the knowledge and skills of healthcare providers, and awareness creation among staff by providing continuous training.