Haiti, one of the poorest countries in the world, was devastated by an earthquake in 2010. The disaster uncovered the realities of a non-existent mental health care system with only ten psychiatrists nationwide. Attempts were made to assess the increased prevalence of mental illness, likely due to t...he trauma to which many were exposed. Several interventions were carried out with aims to integrate mental health into primary health care services. The interplay between socio-cultural beliefs and health (both mental and physical) in Haiti has been widely commented upon by both foreign aid and local caregivers. Observations frequently highlight barriers to the willingness of patients to seek care and to their acceptance of biomedicine over traditional Vodou beliefs. The perception of Haitian beliefs as barriers to the availability and acceptance of mental health care has intensified the difficulty in providing effective recommendations and interventions both before and after the earthquake. Argued in this review is the importance of considering the interactions between socio-cultural beliefs and mental health when developing models for the prevention, screening, classification and management of mental illness in Haiti. These interactions, especially relevant in mental health care and post-disaster contexts, need to be acknowledged in any healthcare setting. The successes and failures of Haiti’s situation provide an example for global consideration.
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This 10th edition of the Institute for Health Metrics and Evaluation’s annual Financing Global Health report provides the most up-to-date estimates of development assistance for health, domestic spending on health, health spending on two key infectious diseases – malaria and HIV/AIDS – and fut...ure scenarios of health spending. Several transitions in global health financing inform this report: the influence of economic development on the composition of health spending; the emergence of other sources of development assistance funds and initiatives; and the increased availability of disease-specific funding data for the global health community. For funders and policymakers with sights on achieving 2030 global health goals, these estimates are of critical importance. They can be used for identifying funding gaps, evaluating the allocation of scarce resources, and comparing funding across time and countries.
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