Examining the spatio-temporal patterns of diarrhoeal disease incidence from routinely collected clinical data

5岁以下儿童的腹泻病是肯尼亚的一个重大公共卫生问题，以前一直与地理风险因素有关。卫生机构收集和生成数据，以支持提供常规患者护理，因此可以成为人口层面卫生情报的可行来源，以优化和针对最需要的人群和地方的干预措施。更好地了解个别设施的需求和利用情况也可以揭示覆盖范围的差距，并提高卫生系统的整体效率。然而，由于对常规卫生数据的完整性和准确性的担忧，撒哈拉以南非洲一直没有充分利用常规卫生数据。这项研究将评估肯尼亚卫生设施产生的常规数据的质量，并将制定方法，促进将这些数据用于分析目的。然后，它将按卫生设施量化儿童腹泻病的发病率，描述设施之间的差异，并创建统计模型，描述与患者水平和地理风险因素的关联。由于将使用真实世界的数据，如果卫生服务管理人员采纳这项研究的建议，并证明对制定干预措施以减少儿童腹泻病的发病率和改善健康结果有用，这项研究可能会对肯尼亚产生直接影响。与肯尼亚的研究合作者发展工作关系也可以帮助在卫生服务内部建立分析能力，并且可以为促进记录、存储和分析常规卫生数据的系统的更多投资做出更广泛的贡献。

Diarrhoeal disease amongst children under five years of age is a significant public health issue in Kenya,and has previously been linked to geographic risk factors. Health facilities collect and generate data tosupport the delivery of routine patient care, and could therefore be a viable source of population-levelhealth intelligence to optimise and target interventions to those people and localities with greatest need.A better understanding of demand and utilisation at individual facilities could also reveal gaps incoverage and improve the overall efficiency of the health system.However, routine health data has historically been under-utilised in sub-Saharan Africa owing to concernsaround its completeness and accuracy. This study will evaluate the quality of the routine data generatedby health facilities in Kenya, and will develop methods to facilitate its use for analytical purposes. It willthen quantify the incidence of childhood diarrhoeal disease by health facility, describe the variationbetween facilities, and create statistical models describing the association with patient-level andgeographic risk factors.As real-world data will be used, this study could have immediate impact in Kenya if its recommendationsare adopted by health service managers, and prove useful in the development of interventions to reduceincidence and improve health outcomes of childhood diarrhoeal disease. Developing workingrelationships with study collaborators in Kenya could also help to build analytical capacity within thehealth service, and could contribute to a broader case for greater investment in systems facilitating therecording, storage and analysis of routine health data.