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  • Dataset

    By Health, Nutrition and Population Division (VPS/SCL/HNP)
    With the aim of contributing to the design of evidence-based public health policies in Latin America and the Caribbean and giving special consideration to patient or health service user perspectives, between 2012 and 2014 the Inter-American Development Bank carried out the Primary Care Access, Experience and Coordination Survey in Latin America and the Caribbean, in adult populations in Colombia, Mexico, Brazil, El Salvador, Panama and Jamaica. More detail about the motivations, conceptual framework, and detailed methodology of the survey can be found the publication “Desde el paciente: Experiencias de la atención primaria de salud en América Latina y el Caribe” (in Spanish). Primary Healthcare Access, Experience, and Coordination in Latin America and the Caribbean is a dataset of 9,012 observations, that merges the three waves of data collection in the survey, conducted between 2012 and 2014 in: Colombia and Mexico; Brazil and El Salvador; and Panama and Jamaica.
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  • Dataset

    By IDB Lab (IDB Lab)
    The 2018 Global Microscope on Financial Inclusion is a benchmarking index that assesses the enabling environment for financial access in 55 countries. The research underscores the evolving landscape of financial inclusion itself. This year’s index was completely revised to take a forward-looking focus on digital financial services, and to address the critical role of financial inclusion envisioned in the Sustainable Development Goals (SDGs).
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  • Dataset

    By Health, Nutrition and Population Division (VPS/SCL/HNP)
    The cost simulation tool for long-term care systems provides a way to quickly estimate how much it would cost governments in Latin America and the Caribbean to implement this type of system. It can also be used to compare different service packages and make projections. The dataset contains data on population, levels of care dependence, and other macroeconomic variables that are processed by formulas to allow users to quickly estimate how much it would cost a government to implement a long-term care system in 2020. Users can estimate the cost of up to two long-term care service packages and project costs for 2025 and 2030.
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  • Dataset

    By Health, Nutrition and Population Division (VPS/SCL/HNP)
    This dataset presents data from the Mesoamerica Health Initiative in Panama, specifically focusing on the health facility survey.
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  • Dataset

    By IDB Lab (IDB Lab)
    FINLAC is a database of regulated financial institutions with information on financial performance and financial inclusion by financial institution. It covers 7 time periods, more than 50 variables and covers more than 2,000 financial institutions. It uses public information or information provided to the IDB for these purposes by financial authorities, and in some exceptional cases, by the institution itself.
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