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Developing an Investment Case Results Framework based on the Theory of Change

This presentation covers the (i) steps needed to develop a results framework can be developed for the Investment Case; (2) provides checklists for a fit-for-purpose Results Framework; (3) addresses the development of monitoring and evaluation, health information system strengthening and data use activities and plans; and (4) resources.  
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WHO E-Learning: Inequality monitoring in sexual, reproductive, maternal, newborn, child and adolescent health

Inequities in sexual, reproductive, maternal, newborn, child and adolescent health (SRMNCAH) throughout the world mean that certain population subgroups have systematically worse health outcomes and poorer access to services and interventions. Addressing inequities in SRMNCAH is central to achieving universal health coverage, protecting human rights, advancing gender equality, combating discrimination and improving the social determinants […]
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Health Equity Assessment Toolkit

The Health Equity Assessment Toolkit (HEAT and HEAT Plus) is a software application that facilitates the assessment of health inequalities. Inequalities can be assessed through disaggregated data and summary measures of health inequality, visualized in interactive graphs, maps and tables. Results can be exported and saved in different formats. The toolkit is organized around two […]
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Verification in Results-Based Financing: The Case of the United Kingdom

Paying health care providers performance-based incentive payments is one form of results-based financing (RBF). Verifying that providers have reached set performance thresholds is a crucial part of RBF program implementation and key to maintaining the transparency, fairness, and viability of the programs. Since 2004, the United Kingdom’s National Health Service (NHS) has been implementing one […]
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Verification at a Glance

This paper provides a preliminary collection of experiences with verification, in a diverse range of settings, under different financing mechanisms. The collection is intentionally indicative rather than exhaustive, and raises many questions that we plan to answer in subsequent stages of analysis.
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