Introducción
Capítulo A.1
Stigma toward individuals with mental disorders has been studied extensively. In the case of
Latin America and the Caribbean, the past decade has been marked by a significant increase in
information on stigma toward mental illness, but these findi...ngs have yet to be applied to mental health services in Latin America. The objective of this study was to conduct a systematic review of studies relating to stigma toward mental illness in Latin America and the Caribbean. The authors specifically considered differences in this region as compared with manifestations reported in Western European countries
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Trastornos por consumo de sustancias
Capítulo G.1
Manual de Salud Mental Infantil y Adolescente de la IACAPAP
Accessed: 14.03.2019
Divers
Chapitre J.1
Edition en français
Traduction : Laure Woestelandt, Jordan Sibeoni Sous la direction de : Marie-Rose Moro Avec le soutien de la SFPEADA
To understand the mental health treatment gap in the Region of the Americas by examining the prevalence of mental health disorders, use of mental health services, and the global burden of disease.
This pan-African report describes and analyses the cultural, social, physical and other societal barriers preventing children with disabilities in Africa from realising their full human potential. It also describes the opportunities, initiatives and good practices that exist, that indicate the progr...ess, albeit insufficient, that has been made towards realising the rights for children with disabilities in Africa. Recommendations and priorities for action are presented which promote inclusive and accessible laws, policies, and programmes for children with disabilities throughout Africa
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Technical Update
HIV Treatment
July 2017
Lancet Glob Health 2020Published OnlineNovember 27, 2020 https://doi.org/10.1016/S2214-109X(20)30449-6
Lancet Glob Health 2021; 9: e782–92
Bulletin of the World Health Organization Volume 91, Number 4, April 2013, 237-312
The publication is designed to provide Ipas staff, trainers, partners and other health-care providers with access to up-to-date, evidence-based recommendations. In general, the recommendations are the same as those in the World Health Organization’s 2012 Safe Abortion: Technical and Policy Guidanc...e for Health Systems, Second edition. In rare cases, the recommendations have been modified due to the settings where Ipas works. In addition, if there is more current evidence to inform the recommendations, they will be updated here.
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AIDS Research and Therapy 2015, 12:12 (24 April 2015)
the Lancet : Published Online July 31, 2015 http://dx.doi.org/10.1016/S0140-6736(15)61117-5
Untersuchung und Dokumentation von Folter und Menschrechtsverletzungen. 2. Auflage
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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