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The aim of this project was to identify the most suitable strategies for expanding the medical care for Chagas Disease in Bolivia through the country's Primary Health Care system. Over the past decade, ISGlobal have set up 6 platforms in Bolivia to manage this neglected tropical disease. Their objective now is to horizontally scale-up this integral care and determining appropriate strategies for scaling up requires the identification, from the set of possible medical interventions and actions that support them, those that will lead to better outcomes. Three mathematical methods were used for data analysis: AHP, discrete choice MCDA and DEA. These techniques were combined with integer programming tools using the mathematical software R to build a model to assess the outcomes and complexity of any combination of interventions and actions. A set of 20 interventions and 16 actions was identified as the recommended strategy. This strategy was further refined through face-to-face interviews with field experts in Bolivia.
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