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District decision-making for health in low-income settings: a feasibility study of a data-informed platform for health in India, Nigeria and Ethiopia

机译:低收入环境中健康的地区决策:对印度,尼日利亚和埃塞俄比亚的卫生卫生平台的可行性研究

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Low-resource settings often have limited use of local data for health system planning and decision-making. To promote local data use for decision-making and priority setting, we propose an adapted framework: a data-informed platform for health (DIPH) aimed at guiding coordination, bringing together key data from the public and private sectors on inputs and processes. In working to transform this framework from a concept to a health systems initiative, we undertook a series of implementation research activities including background assessment, testing and scaling up of the intervention. This first paper of four reports the feasibility of the approach in a district health systems context in five districts of India, Nigeria and Ethiopia. We selected five districts using predefined criteria and in collaboration with governments. After scoping visits, an in-depth field visit included interviews with key health stakeholders, focus group discussions with service-delivery staff and record review. For analysis, we used five dimensions of feasibility research based on the TELOS framework: technology and systems, economic, legal and political, operational and scheduling feasibility. We found no standardized process for data-based district level decision-making, and substantial obstacles in all three countries. Compared with study areas in Ethiopia and Nigeria, the health system in Uttar Pradesh is relatively amenable to the DIPH, having relative strengths in infrastructure, technological and technical expertise, and financial resources, as well as a district-level stakeholder forum. However, a key challenge is the absence of an effective legal framework for engagement with India's extensive private health sector. While priority-setting may depend on factors beyond better use of local data, we conclude that a formative phase of intervention development and pilot-testing is warranted as a next step.
机译:低资源设置通常使用卫生系统规划和决策的本地数据使用有限。为了促进决策和优先级设置的本地数据用途,我们提出了一个适应的框架:旨在指导协调的数据通知的健康(DIPH)平台,从公共和私营部门汇集在投入和流程上的关键数据。在努力将此框架转变为卫生系统倡议的概念,我们开展了一系列实施研究活动,包括背景评估,测试和扩大干预。这篇论文的第一个论文报告了在印度,尼日利亚和埃塞俄比亚的五个地区的地区卫生系统背景下的方法的可行性。我们选择了五个地区,使用预定义标准和与政府合作。在参观范围后,深入的实地访问包括与关键健康利益相关者的访谈,焦点小组与服务交付人员讨论和记录审查。对于分析,我们使用了基于Telos框架的可行性研究的五个维度:技术和系统,经济,法律和政治,运营和调度可行性。我们发现没有标准化进程,以便基于数据的地区级别决策,以及所有三个国家的大量障碍。与埃塞俄比亚和尼日利亚的研究领域相比,北方邦的卫生系统对迪维相对适用,基础设施,技术专业知识以及财务资源以及区级利益相关方论坛。然而,关键挑战是与印度广泛的私营部门进行接触的有效法律框架。虽然优先设置可能取决于超出了更好地利用本地数据的因素,但我们得出结论,干预开发和试点测试的形成阶段是下一步的。

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