PLOS ONE | https://doi.org/10.1371/journal.pone.0185526 September 28, 2017
Global Health and Tropical Medicine, GHTM, Instituto de Higiene e Medicina Tropical, IHMT, Universidade Nova de Lisboa, UNL, Lisboa, Portugal
The guideline uses state-of-the-art evidence to identify effective policy options to strengthen community health worker (CHW) programme performance through their proper integration in health systems and communities.
Successful delivery of services through CHWs requires evidence-based models for edu...cation, deployment and management of these health workers. The guideline is intended as a tool for national policy makers and planners and their international partners to use in the design, implementation, performance and evaluation of effective community health worker programmes. It contains pragmatic recommendations on selection, training and certification; management and supervision: and integration into health systems and community engagement.
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Special Report
This report of the European Centre for Disease Prevention and Control (ECDC) was coordinated by Teymur Noori. Report review was provided by Andrew J. Amato-Gauci, Anastasia Pharris, Annabelle Gourlay, Amanda Mocroft, Jan C. Semenza, Denis Coulombier and Piotr Kramarz.
BMJ,Dodd PJ, et al. Thorax 2017;72:559–575. doi:10.1136/thoraxjnl-2016-209421
Public Health Action PHA 2017; 7(2): 110–115
The European Journal of Public Health, Vol. 28, No. 1, 145–149
The Author 2017. Published by Oxford University Press on behalf of the European Public Health Association.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:...//creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
doi:10.1093/eurpub/ckx122 Advance Access published on 31 August 2017
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Level of stunting among Bangladeshi children <5years declined from 51% in 2004 to 36% and underweight from 41% in 2007 to 33% (BDHS 2014). But the decrease in wasting rate is not as expected, which is only from 17% to 14.3 % over last decade. Approximately 3.1 % (BDHS 2014) of under-5 children suffe...ring from SAM only by weight-for-length or height z-score (WHZ) <-3 criterion and estimated to be a total of ~ 450,000. Because, there are no national information on prevalence of SAM using mid upper arm circumference (MUAC) and presence of bipedal oedema in under-5 children, thus the actual number of children suffering from SAM could be much higher than the current estimate.
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UNAIDS 2017 / Reference
Generating evidence for policy and action on HIV and social protection
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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Research Article
Hindawi
BioMed Research International
Volume 2018, Article ID 9619684, 10 pages https://doi.org/10.1155/2018/9619684
Research Article
PLOS Medicine | https://doi.org/10.1371/journal.pmed.1002374 August 8, 2017
Disease Control Division,
Standard Management Guideline
Directorate General of Health Services, Ministry of Health & Family Welfare
First Published: 15th May 2017