This document defines the framework for Malawi’s National HIV Programs. Considering public health benefits and risks, as well as funding and resource implications, deviations from these guidelines are not supported by the Ministry of Health.
2nd edition. WHO's recommendation has not changed: the standard WHO susceptibility tests should remain a primary method by which resistance is detected. However, it was considered necessary to update the existing resistance-monitoring procedures to also highlight the need for operationally meaningfu...l data.
Two new assays were included in this expanded version: an intensity assay and a synergist assay.
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Essential obstetric and newborn care is designed as a tool to help protect mothers and their children in adverse environments. It is intended for midwives, doctors with obstetrics training, and health care personnel who deal with obstetric emergencies.
Report on Main Findings
The review encompasses three complementary components: 1) a review of published literature 2000-2015 on NCDs and their risk factors; 2) qualitative interviews with key actors engaged in NCD research in Myanmar; and 3) additional reviews of Myanmar ethical committee inqui...ries and postgraduate research on NCDs in Myanmar. This report outlines the key findings from the three components including a synthesis of the key outcomes from the literature review and qualitative interviews, and an assessment of the gaps in the evidence against a framework of evidence needs.
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Information note.
This information note provides a strategic overview of key implementation considerations for diagnostic integration using these devices, and is primarily intended for use by national laboratory services and TB, HIV, and hepatitis programme managers.
It may also be of inte...rest to managers of maternal, newborn and child health programmes and sexual and reproductive health programmes, international and bilateral agencies, and organizations that provide financial and technical support to the relevant national health programmes.
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Training module on malaria control
Most of the global burden of sepsis occurs in low- and middle-income countries (LMICs), but the prevalence and etiology of sepsis in LMICs are not well understood. In particular, the lack of laboratory infrastructure in many LMICs has historically precluded an assessment of the pathogens leading to ...sepsis. A recent systematic review found that data describing antimicrobial resistance were absent for 43% of countries in Africa, and only two countries have national antimicrobial resistance plans. In addition, small studies have identified indiscriminate antibiotic use both in and out of hospital settings in sub-Saharan Africa. The absence of microbiological data and lack of antibiotic stewardship complicate sepsis management and almost certainly worsens outcomes, particularly in low-resource systems. The purpose of this study was to examine the prevalence, etiology, and outcomes of sepsis among a cohort of critically ill patients in a referral hospital of Malawi, with a focus on the prevalence of culture-confirmed bacteremia and urinary tract infections.
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Malaria Journal (2021) 20:190
Consultancy to take forward the International Health Partnership
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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