Policy Brief, Updated in March 2017
Key messages
• Ensuring access to HIV prevention and critical services for non-disclosed men who have sex with men (MSM) remains a priority in Myanmar.
• Internet, social media and mobile applications can be important means for reaching these me...n with HIV prevention messages and referral to services.
• Strategies to protect individual privacy, confidentiality and security are essential for making mobile phone and web-based health services available, accessible and acceptable to MSM.
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This landscape analysis aims to:
1. Identify and document supportive policies and best practices in family planning program implementation
2. Assess the quality of family planning service provision
3. Propose recommendations for scaling up best family planning practices and new interv...entions to improve program effectiveness and increase utilization of contraception
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No publication year indicated
PLOS ONE | https://doi.org/10.1371/journal.pone.0192765 February 23, 2018
Supplement Article
J Acquir Immune Defic Syndr Volume 75, Supplement 2, June 1, 2017 www.jaids.com
Policy brief. HIV testing services (HTS) and anti-retroviral therapy (ART) have been scaled up substantially. It is estimated that, globally, nearly 80% of people with HIV now know their status. With the offer of immediate ART initiation and improved treatment options, access to and uptake of treatm...ent have increased, too. Now, most people with HIV who know their status are obtaining treatment and care.
In response to these changes in the global HIV epidemic, WHO is encouraging countries to use three consecutive reactive tests for an HIV-positive diagnosis as their treatment-adjusted prevalence and national HTS positivity fall below 5% .
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The Guide to operationalize HIV viral load testing HIV presents 60 lessons learnt from the project in a systemic approach including: viral load strategy, laboratories, procurement and supply management, patient care and economy.
World Health Organization Department of Reproductive Health and Research
Brocher Foundation, Hermance, Geneva, Switzerland, 27–29 April 2016
Technical Update
HIV Treatment
July 2017
The goal of the United States Government for the President's Emergency Plan for AIDS Relief (PEPFAR) in Mozambique is to support country efforts to achieve epidemic control by 2020 through evidence-based policies and interventions to drive progress and save
lives. This document details PEPFAR's op...erational plan in Mozambique.
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Due to the anticipated significant rise in VL testing occasioned by Ghana’s adaptation of 2016 ART guidelines, it has become necessary to develop this VL scale-up and operational plan to assure complete client access to laboratory monitoring towards the achievement of the third 90 of the HIV care ...cascade. The plan will enhance VL testing, monitoring whilst improving the clinical and laboratory interface for improved client care.
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The toolkit is a collection of assessment tools and checklists that describe the key considerations to be taken into account when transitioning to Option B/B+. The toolkit provides a roadmap to support the planning and implementation of Option B/B+, and to help countries scale up more effective inte...rventions and programs to achieve the goals of the Global Plan Towards the Elimination of New HIV Infections among Children by 2015 and Keeping their Mothers Alive.
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(Health Systems in Transition, Vol. 4, No. 3, 2014)
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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