This year marked the beginning of the WHO biennium 2016-2017 action plan; this annual report highlights WHO’s key achievements in 2016
It also documents the extraordinary efforts by a broad coalition of government ministries, municipalities, international agencies, community groups, women’s or...ganizations, religious and traditional leaders, media, private sector and donors towards restoration and improving health indicators.
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Euro Surveillance 2014;19(47):pii=20970, p.31-37
Policy Brief, Updated in March 2017
Key messages
• Sex workers have the right to equal protection under the law, regardless of the legal status of sex work.
• Sex workers have the right to access HIV, sexually transmitted infection (STI) and other health services free from the thr...eat of violence, intimidation, incarceration, and stigma and discrimination.
• Justice and law enforcement sectors, together with the health sector and sex worker communities, should work in partnership to reform relevant legislation, policies and practices.
• Capacity development of all partners is critical to the success of the HIV response among sex workers.
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Capability and Performance
The Protection of Personal Information (POPI) Act
Confidentiality: providing and protecting information
• Health care practitioners hold information about patients that is private and sensitive.
• The National Health Act (Act No. 61 of 2003) provides that this information must not be given to... others, unless the patient consents or the health care practitioner can justify the disclosure.
• Practitioners are responsible for ensuring that clerks, receptionists and other staff respect confidentiality in their performance of their duties.
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Vol. 7, No. 1 (2018) | ISSN 2166-7403 (online) DOI 10.5195/cajgh.2018.295 | http://cajgh.pitt.edu
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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