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3
Implementation Research in Health – A Practical Guide
David H. Peters, Nhan T. Tran, Taghreed Adam
Alliance for Health Policy and Systems Research (AHPSR) and World Health Organization
(2013)
This guide is an attempt to redress the deficit in understanding of implementation research and to encourage programme personnel and implementers to take a greater interest in the subject, recognizi
...
ng that implementation research is in fact an integral part of programme planning and execution, rather than something that happens once programmes are up and running. Intended for newcomers to the field, those already conducting implementation research, and those with responsibility for implementing programmes, the guide provides an introduction to basic implementation research concepts and language, briefly outlines what it involves, and describes the many exciting opportunities that it presents
more
Briefing note prepared by the IFRC Reference Centre for Psychosocial Support, August 2014
The training focuses on building the capacity of health care workers at the primary and secondary level to address and manage TB in children.
Guidance Document - Nutritional Care & Support for TB patients in India
Central TB Divison, Ministry of Health and Social Welfare, Government of India
World Health Organisation (WHO)
(2017)
C1
DEMOGRAPHIC RESEARCH, VOLUME 36, ARTICLE 37, PAGES 1081-1108; PUBLISHED 5 APRIL 2017; http://www.demographic-research.org/Volumes/Vol36/37/; DOI: 10.4054/DemRes.2017.36.37
The intent of these guidelines is to develop a holistic, coordinated, proactive and technology driven strategy for management of biological disasters through a culture of prevention, mitigation and
...
preparedness to generate a prompt and effective response in the event of an emergency. The document contains comprehensive guidelines for preparedness activities, biosafety and biosecurity measures, capacity development, specialised health care and laboratory facilities, strengthening of the existing legislative/
regulatory framework, mental health support, response, rehabilitation and recovery, etc. It specifically lays down the approach for implementation of the guidelines by the central ministries/departments, states, districts and other stakeholders, in a time bound manner.
more
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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