This document synthesizes key elements of the World Health Organization (WHO) normative guidance on health policy and system support for community health worker (CHW) programmes and their application for HIV programmes. Building on relevant elements of HIV guidelines, tools and evidence identified b...y experts, it provides recommendations on tasks and roles that can be performed by CHWs (including for HIV), identifies the policy and system supports to optimize CHW performance, and gives examples of best practice. Its purpose is to inform the optimal design and delivery of CHW programmes targeting – either specifically or as part of a broader approach – the scale-up and sustainability of HIV services.
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Um Manual Programático
A publicação deste documento foi possível graças ao apoio da Comissão Europeia (auxílio Sante 2007141-838). O conteúdo deste documento é de responsabilidade única de A Union e não reflete a opinião da Comissão Europeia.
Tokar et al. Health Research Policy and Systems (2019) 17:23 https://doi.org/10.1186/s12961-019-0415-4
Meeting report, 25-26 September 2017 Copenhagen, Denmark
Módulo 1
Clínico
Julho de 2017
Módulo 1: Clínico. Este módulo é destinado a profissionais de saúde como médicos, enfermeiros e auxiliares e traz um resumo sobre como prover a PrEP de forma segura e efetiva, abordando vários aspectos: triagem de pessoas com risco substancial de contr...air o HIV;
ódulo 1: Clínico. Este módulo é destinado a profissionais de saúde como médicos, enfermeiros e auxiliares e traz um resumo sobre como prover a PrEP de forma segura e efetiva, abordando vários aspectos: triagem de pessoas com risco substancial de contrair o HIV; testagem de HIV antes de iniciar a PrEP e como acompanhar usuários de PrEP e oferecer aconselhamento sobre adesão.
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ECDC MISSION REPORT 19–21 September 2016 ; 14–15 November 2016
Evaluation report
December 2014
Dispatches
DOI: http://dx.doi.org/10.3201/eid2203.151607
Emerging Infectious Diseases • www.cdc.gov/eid • Vol. 22, No. 3, March 2016
October 2018
HIV testing services
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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