A Toolkit for Implementation. Module 1: An Overview of Implementation at National, Province and District Levels
Health Policy Plan (2017) 32 (5): 603-612; 10 pp. 318 kB
Glob Health Sci Pract; March 24, 2017, Vol. 5, No. 1, pp. 44-56
A Toolkit for Implementation. Module 2: Facilitator’s guide to the orientation workshop on the IFC framework;
Shaping Health programme on Learning from international experience on approaches to community power, participation and decision-making in health,AMHF, TARSC
Introduction
Chapter A.4
2017 edition
Scaling Up Mental Health Care In Rural India
The Education 2030 Incheon Declaration and Framework for Action specifies that the mandate of the Global Education Monitoring Report is to be ‘the mechanism for monitoring and reporting on SDG 4 and on education in the other SDGs’ with the responsibility to ‘report on the implementation of nat...ional and international strategies to help hold all relevant partners to account for their commitments as part of the overall SDG follow-up and review.’ It is prepared by an independent team hosted by UNESCO.
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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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Operational guidance for managing programme quality.
These guidelines are about implementing the programme-quality standards of the Core Humanitarian Standard in limited access humanitarian response. They have been developed using approaches and tools tested by Oxfam, other INGOs and the UN in Afgh...anistan, DRC, Iraq, Somalia, Syria and Yemen. The guidelines are an operational resource to help programme designers and decision makers deliver ‘good enough’ programme quality in limited access humanitarian response.
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One important application of digital health in TB patient care is the support that it can lend to medication adherence. TB programmes have already been using short message service (SMS), video-supported treatment (VOT) and event monitoring device for medication support ...(EMM)1 to help patients complete treatment and health-care workers to monitor both daily dosing and treatment continuity
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