在肯尼亚内罗毕报告精神,神经和物质使用障碍的数字仪表板:实施开源数据技术,以改善数据捕获
Daniel M Mwanga1,2, Stella Waruingi3, Gergana Manolova4
1African Population and Health Research Center (APHRC), Nairobi, Kenya.
PLOS digital health
|November 1, 2024
概括
实施开源技术显著改善了肯尼亚精神,神经和物质使用障碍的实时数据报告. 这个数字系统提高了数据质量和监控,以改善医疗保健规划和宣传.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
背景情况:
- 在非洲,常规监测精神,神经和物质使用障碍 (MNS) 面临着重大数据质量和及时性挑战.
- 手动数据收集方法通常很慢,导致汇总,延迟报告和潜在的不一致性.
研究的目的:
- 评估使用开源数据科学技术 (R Shiny和Kobo工具箱) 的可行性,以提高肯尼亚内罗毕市县MNS疾病的健康数据报告.
- 改进实时数据采集,报告和监测MNS疾病在初级卫生保健机构.
主要方法:
- 开发了一个数字在线数据捕获和报告工具,使用开源的Kobo工具箱,基于以前使用的手动工具.
- 培训初级精神卫生保健提供者使用数字工具实时报告MNS疾病,涵盖世卫组织的mhGAP-IG指南.
- 将数字数据与使用R Shiny创建的实时动态仪表板进行链接,以便在表格和图表中实时总结.
主要成果:
- 数字系统在2023年1月至8月期间捕获了9064例MNS疾病病例,与2022年同期通过手动系统报告的5321例病例相比,这一数字大幅增加.
- 实现了实时报告,与以前手动报告的每月汇总形成鲜明对比,从而提高了数据的及时性和完整性.
- 该系统在初级医疗保健提供者中证明了可行性和可接受性,提高了数据质量,并及时提供了对MNS疾病负担的见解.
结论:
- 开源应用程序是可行的和可接受的,以改善初级医疗保健提供者之间的健康数据报告.
- 实施的数字系统显著增强了实时数据捕获,报告和监测MNS疾病的功能.
- 这项技术为服务规划和宣传提供了宝贵的数据,可以扩展并集成到国家卫生信息系统中,以减少错误和提高效率.
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