Gebeyew Ayenew Sisay, Tizie Sefefe Birhanu, Assaye Bayou Tilahun, Edmealem Afework, Feyu Temesgen, Mekonen Habtamu, Zeleke Tirsit Ketsela, Getachew Melese, Fentahun Andualem
Department of Health Informatics, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia.
Department of Nursing, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia.
PLoS One. 2025 May 15;20(5):e0322460. doi: 10.1371/journal.pone.0322460. eCollection 2025.
Digital health data hubs contribute significantly to finding the right solutions to health problems, which forms the basis for achieving sustainable development goals. However, in Ethiopia, the health system has been coming to one central hub for all data, there is limited evidence of health professionals' intentions to use these systems. Understanding their intentions is crucial, as this can significantly improve the advancement of digital health in healthcare organizations. This study assessed health professionals' intention to use digital health data hubs in hospitals in East Gojjam, northwest Ethiopia, in 2024.
A cross-sectional study design was used to conduct the study. Eleven hospitals were included in the study area. Using an a priori structural equation modeling sample size calculator, the total sample size was 616. Stratified proportional allocation sampling was performed. The study participants were selected using a systematic sample. Structural equation modeling (SEM) was used for the analysis. Because it is a more powerful multivariate technique for testing and evaluating multivariate causal relationships. The assumptions of SEM-like normality, average variance extracted (AVE), composite reliability (CR), Cronbach's alpha, confirmatory factor analysis (CFA), and model specifications were checked using Amos and Stata version 16.
This study was conducted with a sample size of 616 healthcare professionals; 591 (95.94%) responded to the survey. The results showed that 57.69% (n = 341) of the healthcare professionals intended to use the digital health data hub. Further analysis showed that perceived usefulness (PU: β = 0.576, p = 0.000), perceived trust (PT: β = 0.116, p = 0.022), and attitude (β = 0.143, p = 0.043) significantly and positively influenced health professionals' intention to use digital health data hubs.
Overall, the findings showed that 42.31% of health professionals have low intention to use digital health data hubs. These shall be needed to improve their intentions to use digital health data hubs through targeted interventions. Therefore, focusing on critical factors, such as perceived usefulness, trust, and attitude are crucial factors to reinforce their intention to use the system. Additionally, overcoming implementation challenges and building trust is critical to the successful integration and use of digital health data hubs.
数字健康数据中心对于找到解决健康问题的正确方案做出了重大贡献,这构成了实现可持续发展目标的基础。然而,在埃塞俄比亚,卫生系统一直趋向于建立一个集中处理所有数据的中心枢纽,但关于卫生专业人员使用这些系统意图的证据有限。了解他们的意图至关重要,因为这可以显著促进医疗保健机构中数字健康的发展。本研究评估了2024年埃塞俄比亚西北部东戈贾姆地区医院卫生专业人员使用数字健康数据中心的意图。
采用横断面研究设计进行该研究。研究区域包括11家医院。使用先验结构方程模型样本量计算器,总样本量为616。进行分层比例抽样。研究参与者采用系统抽样法选取。采用结构方程模型(SEM)进行分析。因为它是一种用于测试和评估多变量因果关系的更强大的多变量技术。使用Amos和Stata 16版检查SEM的假设,如正态性、平均方差抽取(AVE)、组合信度(CR)、克朗巴哈系数、验证性因子分析(CFA)和模型规范。
本研究对616名医疗保健专业人员进行了抽样;591人(95.94%)回复了调查。结果显示,57.69%(n = 341)的医疗保健专业人员打算使用数字健康数据中心。进一步分析表明,感知有用性(PU:β = 0.576,p = 0.000)、感知信任(PT:β = 0.116,p = 0.022)和态度(β = 0.143,p = 0.043)对卫生专业人员使用数字健康数据中心的意图有显著的正向影响。
总体而言,研究结果表明42.31%的卫生专业人员使用数字健康数据中心的意愿较低。需要通过有针对性的干预措施来提高他们使用数字健康数据中心的意愿。因此,关注关键因素,如感知有用性、信任和态度,是强化他们使用该系统意图的关键因素。此外,克服实施挑战并建立信任对于数字健康数据中心的成功整合和使用至关重要。