基本保健服务跟踪器,为全部门决策加强日常数据使用

Bigten Kikoba, Masoud Mahundi
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摘要

医疗卫生机构已指定一系列服务为基本医疗卫生服务(EHS),这些服务对实现全民医保至关重要。因此,要衡量各国在实现全民医保方面的进展情况,就必须对基本保健服务的提供情况进行监测。然而,目前还没有对这些服务进行全部门监测的机制。虽然 EHS 涵盖整个卫生部门,但监测工作却留给了个别的次级单位和卫生计划,而这些次级单位和计划往往局限于特定的疾病和卫生干预措施。这就很难监测提供这些服务时受到的干扰。这些干扰因素包括 COVID-19、马尔堡、埃博拉等流行病和大流行病以及季节性霍乱发病率。因此,本研究提出了 EHS 跟踪器这一数据可视化工具,以加强日常数据的使用,从而定期监测和跟踪 EHS。本文详细介绍了开发跟踪器的合作过程,并最终创建了工具本身。该论文为正在进行的利用创新解决方案加强数据使用实践的倡议做出了贡献,努力将数据使用实践和数据驱动决策制度化,以改善医疗保健服务的提供。
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Essential health services tracker to enhance routine data use for sector‐wide decision‐making
Healthcare actors have designated a set of services as essential health services (EHSs), essential for achieving universal health coverage. Therefore, monitoring the provision of EHS is indispensable to gauge how countries progress toward achieving universal health coverage. However, there are no mechanisms for sector‐wide monitoring of these services. While EHSs cover the entire health sector, monitoring is left to individual subunits and health programs, which often confine themselves to specific diseases and health interventions. This makes it difficult to monitor interferences to the provision of these services. Such interferences include epidemics and pandemics such as COVID‐19, Marburg, Ebola, and seasonal incidences of cholera. This study, therefore, proposes an EHS tracker, a data visualization tool, to enhance routine data use for monitoring and tracking EHSs regularly. The paper details a collaborative process for developing the tracker, culminating in the creation of the tool itself. The paper contributes to the ongoing initiatives to strengthen data use practices using innovative solutions in the efforts to institutionalize data use practices and data‐driven decision‐making for improved healthcare service delivery.
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