首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Barriers to the Digitization of Health Information: A Qualitative and Quantitative Study in Kenya and Lao PDR Using a Cloud-Based Maternal and Child Registration System
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Barriers to the Digitization of Health Information: A Qualitative and Quantitative Study in Kenya and Lao PDR Using a Cloud-Based Maternal and Child Registration System

机译:健康信息数字化的障碍:使用基于云的母婴登记系统的肯尼亚和老挝人民主工族的定性和定量研究

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摘要

Digitalization of health information can assist patient information management and improve health services even in low middle-income countries. We have implemented a mother and child health registration system in the study areas of Kenya and Lao PDR to evaluate barriers to digitalization. We conducted in-depth interviews with 20 healthcare workers (HCWs) who used the system and analyzed it qualitatively with thematic framework analysis. Quantitatively, we analyzed the quality of recorded data according to missing information by the logistic regression analysis. The qualitative analysis identified six themes related to digitalization: satisfaction with the system, mothers’ resistance, need for training, double work, working environment, and other resources. The quantitative analysis showed that data entry errors improved around 10% to 80% based on odds ratios in subsequent quarters compared to first quarter periods. The number of registration numbers was not significantly related to the data quality, but the motivation, including financial incentives among HCWs, was related to the registration behavior. Considering both analysis results, workload and motivation to maintain high performance were significant obstacles to implementing a digital health system. We recommend enhancing the scope and focus on human needs and satisfaction as a significant factor for digital system durability and sustainability.
机译:卫生信息的数字化可以帮助患者信息管理,即使在低中收入国家也可以提高卫生服务。我们在肯尼亚和老挝人民议员的研究领域实施了母亲和儿童健康登记系统,以评估数字化的障碍。我们对使用该系统的20名医疗工作者(HCWS)进行了深入的访谈,并与主题框架分析进行了定性分析。通过逻辑回归分析,我们根据缺失的信息分析了记录数据的质量。定性分析确定了与数字化相关的六个主题:对系统的满意度,母亲的抵抗,需要培训,双重工作,工作环境和其他资源。定量分析表明,与第一季度时期相比,数据进入误差基于随后的季度中的差异比率提高约10%至80%。注册号码数量与数据质量没有显着相关,但在HCW之间的动机包括金融激励,与登记行为有关。考虑到分析结果,维持高性能的工作量和动机是实现数字健康系统的重要障碍。我们建议加强范围,重点关注人类需求和满意,作为数字系统耐用性和可持续性的重要因素。

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