"This is the final report of the six-year collaboration between the WHO Department of Mental Health and Substance Abuse and the Gulbenkian Global Mental Health Platform, an initiative of the Calouste Gulbenkian Foundation aimed at reducing the global burden of mental health through the development a...nd application of evidence and good practices to global mental health."
more
October 2018
HIV testing services
The Infection Prevention and Control (IPC) Guidelines aim to support healthcare workers improve quality and safety health care. The Guidelines further aim to promote and facilitate the overall goal of IPC by providing evidence-based recommendations on the critical aspects of IPC, focusing on the fun...damental principles and priority action areas. All health service organizations should consider the risk of healthcare-associated infection(s) (HAI) and antimicrobial resistance (AMR) transmission to implement these recommendations. The IPC Guidelines also set national standards for the prevention and control of HAIs and to ensure compliance to the National Quality Standards.
more
This document aims to provide concrete, pragmatic guidance for how TB modelling and related technical assistance is undertaken to support country decision-making. The target audience for this document are the participants and stakeholders in country-level TB modelling efforts, including the individu...als who build and apply models; policy-makers, technical experts and other members of the TB community; international funding and technical partners; and individuals and organizations engaged in supporting TB policy-making.
more
May 2018
HIV i-Base
ISSN 1475-2077 www.i-Base.info
Watch for out-of-date information
First questions
You and your doctor Resistance and adherence Treatment choices
Twenty-Fourth Annual Trachoma Control Program Review, Summary Proceedings
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.
more