This clinical management manual for Ebola Viral Disease in Liberia was developed after several ETUs were established in the country following the outbreak early this year. As the outbreak evolved, it became evident that different SOPs were being used by clinicians across these treatment facilities. ...As a result of discussions held by the National Case Management Committee of the Incident Management System, various stakeholders were brought together to contribute their time and expertise to the development of this manual.
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Updates for the integrated management of childhood illness (IMCI) - Guideline.
As part of its response to the global epidemic of obesity, WHO has issued guidelines to support primary healthcare workers identify and manage children who are overweight or obese. Specifically, all infants and children ...aged less than 5 years presenting to primary health-care facilities should have both weight and height measured in order to determine their weight-for-height and their nutritional status according to WHO child growth standards. Comparing a child's weight with norms for its length/height is an effective way to assess for both wasting and overweight
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Information note
Accessed November 2017.
Meeting Report 27-29 October 2020
The overall goal of the meeting was to discuss recent changes in treatment regimens and diagnostics for drug-resistant TB and to determine how these impact on the definition of XDR-TB, with a view to revising this definition. The pre-existing definition of XDR-TB w...as formulated in 2006 at a meeting of the Global Taskforce on XDR-TB, convened by WHO, and has been in use for clinical and surveillance purposes, since this time.
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Vol. 2: Clinicians' Guide
Clinicians’ Guide is designed to assist busy medical practitioners in the field with patient management by providing current, essential, practical guidance and background, packaged into a single resource
Lancet 2013; 381: 1405–16
Series: Childhood Pneumonia and Diarrhoea no.1
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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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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