Supplement Article
www.jaids.com J Acquir Immune Defic Syndr Volume 78, Supplement 1, August 15, 2018
Towards the Peoples Health Assembly Book -2
The Policy Guidelines and Service Standards for National Sexual and Reproductive Health Programme document outlines the steps on how to offer and deliver services. Improving quality of care is critical to improving clients' health status as well as increasing access to, and utilization of Sexual and... Reproductive Health services. Service Standards and Guidelines are intended to be used by programme managers, implementers, trainers, surpervisors, and service providers as a tool for delivering quality care measures.
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DHS Analytical Studies No. 55.
As of 21 March 2019, a total of 250,000 people are reported to be affected by the floods in nine districts. An estimated 48 per cent of the affected population is under 18 years of age.
There is limited road access in the Chimanimani, the worst affected district.
An estimated 60,000 children are ...in need of immediate protection services, and 100,000 children are in need of welfare and civil registration services in nine flood affected districts.
Initial estimates indicate that 54 classrooms from 114 schools have been affected by the floods, impacting about 30,000 learners. Over 5,000 households have been reached with critical WASH Hygiene kits in affected districts.
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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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