Las directrices actualizadas del mhGAP, la retroalimentación de
información y la evaluación de la versión 1.0 de la GI-mhGAP
por los usuarios han permitido la revisión y elaboración de esta
versión actualizada de la guía. En el año 2015, se llevó a cabo y
se publicó una actualización... completa de las directrices mhGAP
conforme a la metodología de la OMS para la formulación de
directrices, que incluyó el proceso de análisis de datos científicos
y la síntesis y formulación de recomendaciones mediante la
participación de un grupo de expertos internacionales e
instituciones con experiencia apropiada: médicos clínicos,
investigadores, directores de programa, formuladores de
políticas y usuarios de los servicios. Se pueden encontrar detalles
de los métodos y las recomendaciones actualizadas en el centro
de datos de investigación del mhGAP: http://www.who.int/
mental_health/mhgap/evidence/es/.
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Abschlussbericht. Repräsentative Untersuchung von geflüchteten Fraün in unterschiedlichen Bundesländern in Deutschland
Health Policy Plan (2017) 32 (5): 603-612; 10 pp. 318 kB
Phiri et al. Human Resources for Health (2017) 15:40
DOI 10.1186/s12960-017-0214-3
Framework of Indictors and Targets
Prepared for the Stunting Prevention and Reduction Project - The project Medical Waste Management Plan’s (MWMP) overall objective is to prevent and/or mitigate the negative effects of increased generation of medical waste on human health and the environment. The plan proposes measures to prevent t...he spread of infection and reduce the
exposure of health workers, patients and the general public to the risks from medical waste. The plan is to be used by all project implementation entities to manage medical waste associated with
project activities. These entities will have appropriate procedures and capacities in place to manage the medical waste.
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Scaling Up Mental Health Care In Rural India
In this article a cluster randomized cross-sectional survey, conducted in Albay Province in the Philippines in April 2016, was used to assess the prevalence of disability and access to support services. This was done with the purpose of generating representative data for local programme development.... A cross-sectional survey was carried out with the WG/UNICEF methodology to examine the prevalence of disabilities, and the accessibility and coverage of relevant services. The aim is for this information to be used for public policy formulation at all levels, as well as to improve communication and advocacy on disabilities.
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Pan African Medical Journal 2017;27:215. doi: 10.11604/pamj.2017.27.215.12994
WG Implementation Guidelines Tool2
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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DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored ...the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index.
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This progress report reflects achievements made during the first year of implementation (through December 2016), as countries have taken actions in line with new or existing national strategies. The most recent data on country progress in 2016 are based on country-reported data and country-developed... models using Spectrum software that were reported to UNAIDS in 2017.
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This report makes the case for a major new initiative—to rapidly recruit, train and deploy 2 million community health workers in Africa. Drawing on a vast body of evidence and substantial regional experience, the report shows how community health workers save lives and improve quality of life and ...how investments in community health workers effectively harness the demographic dividend, reduce gender inequality and accelerate economic growth and development. Indeed, the benefits of community health workers stretch from one end of the Agenda for Sustainable Development to the other.
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Environmental pollution, protection, quality and sustainability