Cureus 2024 Jan 16;16(1):e52358. doi: 10.7759/cureus.52358
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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First Revised Edition
March 2000
Impact Evalution Report 61
Overcoming HIV-related stigma and discrimination in health- care settings and beyond
UNAIDS 2017 | REFERENCE
DHS Working Papers No. 86
RBC/IHDPC/ EID Division | November2011 - The aim of the standard operating procedures is to guide health care providers and public health
experts from various levels of the health system in the implementation of enhanced surveillance of meningococcal meningitis.
While motivational factors vary, opportunities for career advancement, stimulating and challenging tasks, opportunities for promotion, and co-worker recognition are core factors that can engender retention of rural health workers. Interventions are required to enhance rural health worker motivation ...and retention, including strengthening the supervision system, developing career progression pathways, and ensuring clear and transparent incentives. Strategies around retention need to be addressed as these would better enable rural primary health workers to cope with the challenging conditions they work in rural areas.
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Development assistance for health (DAH)
plays a vital role in supporting health programmes in lowand middle-income countries. While DAH has historically
focused on infectious diseases and maternal and child
health, there is a lack of comprehensive analysis of DAH
trends, strategic shifts and the...ir impact on health systems
and outcomes. This study aims to provide a comprehensive
review of DAH from 1990 to 2022, examining its evolution
and funding allocation shifts.
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