DHS Working Papers No. 82
Opiates, cocaine, cannabis
World Drug Report 2017
-3-
Accessed: 14.03.2019
Practical Guideline for collaborative interventions
A survival guide for clinicans.
3rd edition.
Organizing and Delivering High Quality Care for Chronic Noncommunicable Diseases in the Americas
Version 1.1
Department of Mental Health and Substance Abuse
The ongoing COVID-19 pandemic has shown that public financial management (PFM) should be an integral part of the response. Effectiveness in financing the health response depends not only on the level of funding but also on the way public funds are allocated and spent, this is determined by the PFM r...ules, and how money flows to health service providers. So far, early assessments have shown that PFM systems ranged from being a fundamental enabler to acting as a roadblock in the COVID-19 health response. While service delivery mechanisms have been extensively documented throughout the pandemic, the underlying PFM mechanisms of the response also merit attention. To highlight the importance of PFM in health emergency contexts, this rapid review analyses various country PFM experiences and identifies early lessons emerging from the financing of the health response to COVID-19. The assessment is done by stages of the budget cycle: budget allocation, budget execution, and budget oversight. Identifying lessons from the varying PFM modalities used to finance the response to COVID-19 is fundamental both for health policy-makers and for finance authorities to prepare for future health emergencies.
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HIV, viral hepatitis and STI epidemics, particularly among people who inject drugs and other key populations, continue to be fuelled by laws and policies criminalizing sex work; drug use or possession; diverse forms of gender expression and sexuality; stigma and discrimination; gender discrimination...; violence; lack of community empowerment and other violations of human rights. These sociostructural factors limit access to health services, constrain how these services are
delivered and diminish their effectiveness.
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This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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Rapport mondial sur les drogues 2018
Latin America and the Caribbean is characterized by a matrix of social inequality whose axes —such as
socioeconomic stratum, gender, stage in the life cycle, ethnicity and race, territory, disability, and immigration
status— create multiple, often concurrent, situations of exclusion and discri...mination. The coronavirus
disease (COVID-19) pandemic has exacerbated wide social gaps and it is no coincidence that Latin America
and the Caribbean is one of the regions in which the health and socioeconomic impacts of the pandemic have
been the most severe, which shows that the costs of inequality are unsustainable
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