The Baby-friendly Hospital Initiative (BFHI) is a global effort launched by WHO and UNICEF to implement practices that protect, promote and support breastfeeding. It was launched in 1991 in response to the Innocenti Declaration. The global BFHI materials have been revised, updated and expanded for i...ntegrated care. The materials reflect new research and experience, reinforce the International Code of Marketing of Breast-milk Substitutes, support mothers who are not breastfeeding, provide modules on HIV and infant feeding and mother-friendly care, and give more guidance for monitoring and reassessment.
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PLoS Curr. 2014 Aug 29;6. pii: ecurrents.dis.17ad1f98fb85be80785d0a81ced6a7a6. doi: 10.1371/currents.dis.17ad1f98fb85be80785d0a81ced6a7a6.
Prevention, early identification, assessment and intervention in low- and middle-income countries | A Review | CHILD AND ADOLESCENT HEALTH AND DEVELOPMENT
Document on key points needed to design, manage, deliver and evaluate training
You can also find a spanish and french version here: http://reprolineplus.org/resources/training-works-what-you-need-know-about-managing-designing-delivering-and-evaluating-group
Integrated Management of Adolescent and Adult Illness (IMAI)
July 2008
The community based programme aims to address the psychosocial needs of children and youth through helping to rebuild peaceful child- and youth-friendly communities through the use of cultural, creative, recreational, sportive and social activities. Within War Child, the community-based approach is ...relatively new and Sierra Leone was the first self-implementing War Child Programme Area (WPA) applying this approach.
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This report presents the findings of research conducted by Child Soldiers International to assess the effectiveness of release, psychosocial recovery and reintegration interventions (commonly referred to as ‘DDR’) for girls associated with armed groups in eastern Democratic Republic of Congo (DR...C). More specifically, it seeks to shed some light on the extent to which girls have been reached by DDR programmes, and on the appropriateness of this support where it was offered, mostly from the point of view of the girls themselves.
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Infant Psychiatry
Chapter B.2
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delivery, and timely postnatal care (PNC).This s...tudy uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12regions.We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use.We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.
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Tanzania is prone to refugee influxes, often of long duration. Despite facing its own economic challenges, for decades Tanzania has welcomed thousands of refugees fleeing conflicts in neighboring countries of Great Lakes Region. The counties geographic proximity to the strifetorn Congo Basin is resp...onsible in part for the ease access of displaced populations. As well Tanzania was an early signatory in the region to international agreements on the rights and welfare of refugee and asylum seekers As of December, 2018, Tanzania host some 284,300 camp-based refugees, 77% of who are children and woman, in Nduta, Nyarugusu and Mtendeli Refugee Camps in Kigoma region in Northwest Tanzania. About 74% are from Burundi, and the remaining 26% are primarily from Democratic republic of Congo.
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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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