These guidelines were written for anyone trying to meet and solve the challenges of operating a warehouse today. They are an important reference tool for managers and staff, whether they are constructing a new warehouse, implementing a new warehouse system, or redesigning their current system.
G...uidelines for Warehousing Health Commodities is for use by supply chain managers, logistics advisors, and warehouse managers who want to improve and increase efficiency in their current health commodity warehouse.
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The new WHO recommendations for the treatment of isoniazid-resistant, rifampicin-susceptible TB are based upon a review of evidence from patients treated with such regimens by a Guideline Development Group in conformity with WHO requirements for evidence-based policies.
Module 8
Site Planning
July 2017
Module 8: Site planning. This module is for people involved in organizing PrEP services at specific sites. It outlines the steps to be taken in planning a PrEP service and gives suggestions for personnel, infrastructure and commodities that could be considered... when implementing PrEP.
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This Guidance was developed in response to the increase in HIV-related human rights crises and the shrinking civic space for rights-related responses to HIV in recent years across the world. This document builds upon existing guidance documents, offering updated guidance for country-based United Nat...ions staff (United Nations Country Teams) and partners to use their respective mandates to coordinate effective responses to human rights-related crises within the framework of the Resident Coordinator system, the 2030 Agenda for Sustainable Development, global HIV and human rights strategies and frameworks.
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Good practice examples from India
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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