Disability Fact Sheet #13 (FS13)
As part of the Mental Health Gap Action Programme, WHO has developed training manuals (Training of trainers and supervisors training manual and Training of health-care providers training manual) to support implementation of the mhGAP Intervention Guide for mental, neurological and substance use (MNS...) disorders in non-specialized health settings, version 2.0. These manuals can be used to build capacity among non-specialist health-care providers in the assessment and management of people with priority MNS conditions in low resource settings.
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Exposure draft for comment October 2013
Basic Expectations for Safe Care
A treatment literacy guide for pregnant women and mothers living with HIV
Positive Health, Dignity and Prevention for Women and their Babies is intended for use by networks of women living with HIV, women’s groups, peer educators and others wishing to help guide women living with HIV t...hrough the decisions they will need to take before, during and after their pregnancy. It is not intended as a substitute for going to a health facility and seeking information from a healthcare worker.
The facilitator’s manual and flipchart are intended to be used by leaders of support groups, peer educators or lay counsellors to facilitate small groups or community sessions with women living with HIV. Together, they provide accurate and comprehensive information to enable pregnant women and mothers living with HIV to know their rights and make informed decisions about their health, and the health of their baby.
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The toolkit is a collection of assessment tools and checklists that describe the key considerations to be taken into account when transitioning to Option B/B+. The toolkit provides a roadmap to support the planning and implementation of Option B/B+, and to help countries scale up more effective inte...rventions and programs to achieve the goals of the Global Plan Towards the Elimination of New HIV Infections among Children by 2015 and Keeping their Mothers Alive.
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USAID/KENYA Evaluation Services and Program Support (ESPS)
The United States Agency for International Development (USAID) has a solid track record of supporting health and development initiatives in Kenya. AIDS, Population, and Health Integrated Assistance (APHIA) is the agency’s flagship hea...lth initiative in the country. APHIA is currently in its third iteration, APHIAPlus, which began in January 2011 and is slated to end in December 2015. APHIAPlus was designed to contribute to Result 3 (“Increased use of quality health services, products, and information”) and Result 4 (“Social determinants of health”) of USAID/Kenya’s implementation framework. The main technical areas of focus are HIV/AIDS; malaria; family planning (FP); tuberculosis (TB); maternal, newborn, and child health (MNCH); and water, sanitation, and hygiene (WASH).
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Journal of the International AIDS Society 2016, 19:20926
There is a growing interest in the potential contribution the private sector can make towards increasing access to antiretroviral therapy (ART) in low‐ and middle‐income settings. This article describes a public–private partnership ...that was developed to expand HIV care capacity in Yangon, Myanmar. The partnership was between private sector general practitioners (GPs) and a community‐based non‐governmental organization (International HIV/AIDS Alliance).
https://doi.org/10.7448/IAS.19.1.20926
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This Technical Brief focuses on appraising and prioritising options for climate resilience with a view to informing water, sanitation and hygiene (WASH) programme and project design.
This Technical Brief:
- provides a simple scorecard/checklist approach to use as a starting point for appr...aising and prioritising options, and as an awareness-raising activity - covers all aspects of WASH
- has a predominantly rural focus, to align with the rest of the Strategic Framework and Technical Briefs
- focuses on current and near future options over the next 15–20 years, which fits in with WASH programming timescales and development
- includes WASH examples to show how the approach can be applied.
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This guide is intended for people involved in the management and operation of small- to mediumsized organized water supply systems. The content has been developed with particular consideration for operational-level personnel with responsibility for chlorination (for example, water treatment plant op...erators and technicians). The material presented within this guide may also be relevant for engineers and representatives from public health, local government, non-governmental organizations, as well as any other individuals supporting water safety planning activities for the supply of safe drinking-water.
Part 1. Chlorination principles: Describes key chlorination concepts, providing a knowledge foundation for the implementation of effective chlorination practices.
Part 2. Chlorination practices: Describes the practical application of the concepts presented in Part 1, including calculations and procedures for safe and effective chlorination of drinking-water supplies.
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Technical Assistance Report
World Health Organization Country profiles 2017
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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Report on the nutrition and health situation of Nigeria
Data collection – 13th July to 13th September 2015
TEP UP Technical Working Paper