Mugabo Hassan, Rukundo Gilbert, Ngabonziza Jean Claude S, Mazarati Jean-Baptiste, Aghatise Joseph, Akinwusi Olukunle
Research Innovation and Data Science, Rwanda Biomedical Center, Kigali, Rwanda (RBC), KG 644 St, Kigali, Kimihuruna, P.O. Box 7162, Kigali, Rwanda.
Digital Health, Foundation for Innovative New Diagnostics, Geneva, Switzerland Chemin du Pommier 40 1218 Grand-Saconnex, Switzerland.
Oxf Open Digit Health. 2024 Aug 28;2:oqae034. doi: 10.1093/oodh/oqae034. eCollection 2024.
Rwanda has been widely lauded for its exceptional response to the COVID-19 pandemic. However, although Rwanda established a national system for COVID-19 testing and vaccination data, concerns have been raised about data fragmentation which requires linkage of various data sources, access to data for real-time decision-making, and data completeness.
We assessed the adoption of the Rwanda COVID-19 data Analytics System (RCAS) for public health staff that employ data from various platforms to generate evidence for policy- and decision-making. A random sample of 56 participants was drawn from the 98 who attended the 2022 RCAS training for data managers from the Rwanda Biomedical Center, technical partners, and health facilities. Of the selected participants, 42 completed the online self-administered questionnaire within the 14-day data collection period. Key informant interviews were then conducted with a subset of 14 respondents.
A strong positive relationship (χ = 9.1049, < 0.05) emerged between respondents' decision-making regarding RCAS and their support for its sustainability. There was a marginal association (χ = 3.3358, = 0.059) suggesting a link between users' ease of data exchange through RCAS and their support for its long-term sustainability, warranting further exploration.
RCAS had a positive impact on improvements in data linkage, access to individual-level data for analyses, and progress toward harmonization of health data beyond COVID-19 in Rwanda. Users noted the usability, acceptability, and interoperability of the system. Recommendations for further improvement and scaling of the intervention are discussed.
卢旺达对新冠疫情的出色应对广受赞誉。然而,尽管卢旺达建立了新冠病毒检测和疫苗接种数据的国家系统,但人们对数据碎片化提出了担忧,这需要整合各种数据源、获取数据以进行实时决策以及确保数据完整性。
我们评估了卢旺达新冠数据分析系统(RCAS)在公共卫生工作人员中的采用情况,这些人员利用来自各种平台的数据来生成政策和决策依据。从参加2022年卢旺达生物医学中心、技术合作伙伴和卫生设施数据管理人员的RCAS培训的98人中随机抽取了56名参与者作为样本。在选定的参与者中,42人在14天的数据收集期内完成了在线自填问卷。然后对14名受访者进行了关键信息访谈。
受访者对RCAS的决策与其对其可持续性的支持之间呈现出强烈的正相关关系(χ = 9.1049,p < 0.05)。存在微弱的关联(χ = 3.3358,p = 0.059),表明用户通过RCAS进行数据交换的便利性与其对其长期可持续性的支持之间存在联系,值得进一步探讨。
RCAS对卢旺达的数据整合、获取个体层面数据进行分析以及在新冠疫情之外实现卫生数据协调统一方面的改进产生了积极影响。用户指出了该系统的可用性、可接受性和互操作性。讨论了进一步改进和扩大干预措施的建议。