Testing Guidance and Interpretation of Results for Healthcare Providers
Zika Virus Testing Guidance: Asymptomatic Pregnant Women
with Possible Zika Virus Exposure
Anaemia is a serious global public health problem that particularly affects young children, menstruating adolescent girls and women, and pregnant and postpartum women. It is a condition in which the number of red blood cells or the haemoglobin concentration within them is lower than normal, affectin...g the blood’s ability to carry oxygen to the body’s tissues.
To reliably monitor the prevalence of anaemia at a population level, it is vital to measure the haemoglobin concentration in an accurate and precise way. In large-scale surveys, however, haemoglobin is most commonly measured using single-drop capillary blood specimens in point-of-care devices. Emerging evidence suggests that the use of single-drop capillary blood can introduce random and/or systematic errors, which may lead to inaccurate estimates, complicating effective anaemia programming.
This technical brief describes the current best practices for haemoglobin measurement, providing guidance to help plan or implement field surveys to assess anaemia at a population level. Continuing work to review emerging evidence is led by members of the WHO-UNICEF Technical Expert Advisory group on nutrition Monitoring (TEAM).
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A survival guide for clinicans.
3rd edition.
How to successfully apply for, administer, and manage the Zithromax® donation for trachoma elimination
Document No. : FDA/SMC/SMD/GL-SMP/2015/05 |
These guidelines are for information, guidance and strict compliance by Marketing Authorization Holders and Local Representatives of regulated products to help in the continuous safety monitoring of products granted marketing authorization in Ghana.
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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Obesity and diabetes are affecting the peoples of the Americas at high and increasing rates. National surveys demonstrate that obesity is increasing in prevalence among all age groups; 7% to 12% of children under 5 years old and
one-fi fth of adolescents are obese, while rates of overweight and obe...sity among adults approach 60%. Obesity is the major modifi able risk factor for diabetes.
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Qualitative assay for use on the cobas®6800/8800 Systems. For in vitro diagnostic use