Rapport sur les populations clès
Accessed November 2017
L’Enquête Continue au Sénégal collecte des données chaque année pour atteindre deux objectifs :
1) Répondre aux besoins permanents en données pour planifier, suivre et évaluer les programmes de santé et de population.
2) Renforcer des capacités des institutions du Sénégal dans le d...omaine de la collecte et de l’utilisation des données.
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Au cours de l’ECPSS 2017, 396 structures de santé ont été étudiées. Les résultats sont représentatifs pour les structures publiques et privées et pour les 14 régions.
Santé de l’enfant au Sénégal selon l’Enquête Continue 2014
This study examined the quality of facility-based maternal and newborn health care by describing the implementation of recommended practices for maternal and newborn care among health care facilities to determine whether increased training, supervision, and incentives for health workers were associa...ted with implementing these recommended practices.
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Key populations brief
Accessed November 2017
This study examines the ability of political, legal, health, and communities to respond to gender-based violence in Kigali, Rwanda.
РУКОВОДСТВО ПО
ДОПОЛНЕНИЕ К СВОДНОМУ РУКОВОДСТВУ ПО УСЛУГАМ ТЕСТИРОВАНИЯ НА ВИЧ
ДЕКАБРЬ 2016 г.
УСЛУГИ ТЕСТИРОВАНИЯ НА ВИЧ
The key aim of this guideline is to present recommendations based on a critical evaluation of the evidence on emerging digital health interventions that are contributing to health system improvements, based on an assessment of the benefits, harms, acceptability, feasibility, resource use and equity... considerations.
This guideline urges readers to recognize that digital health interventions are not a substitute for functioning health systems, and that there are significant limitations to what digital health is able to address
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The classification of digital health interventions (DHIs) categorizes the different ways in which digital and mobile technologies are being used to support health system needs. Historically, the diverse communities working in digital health—including government stakeholders, technologists, clinic...ians, implementers, network operators, researchers, donors— have lacked a mutually understandable language with which to assess and articulate functionality. A shared and standardized vocabulary was recognized as necessary to identify gaps and duplication, evaluate effectiveness, and facilitate alignment across different digital health implementations. Targeted primarily at public health audiences, this Classification framework aims to promote an accessible and bridging language for health program planners to articulate functionalities of digital health implementations.
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Supplement to the Healthcare Waste Management Toolkit for Global Fund
Practitioners and Policy Makers