BJPSYCH INTERNATIONALVOLUME 12NUMBER 4NOVEMBER 2015
The seven essential features of practice for scaling up are described with great clarity. They are practical and universal, and encourage local innovation. They include policy, funding and local management structure, as well as working with all possible partners and developing local context adaptati...ons. The case studies give ideas and inspiration to develop new programmes and find ways around obstacles in existing programmes, especially through involving those with most at stake including users and their families and local community leaders
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A guide to promote health systems strengthening to achieve universal health coverage.
This study complements the growing amount of research on the psychosocial impact of war on chil-dren in Sierra Leone by examining local perceptions of child mental health, formal and informal care systems, help-seeking behaviour and stigma
Yoder et al. Int J Ment Health Syst (2016) 10:48 DOI 10.11...86/s13033-016-0080-8
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Scaling Up Mental Health Care In Rural India
One billion people around the world live with disabilities. This report makes the case that they are being “left behind” in the global community’s work on health. This lack of access not only violates the rights of people with disabilities under international law, but UHC and SDG 3 cannot be a...ttained without better health services for the one billion people with disabilities.
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These guidelines are informed by evidence of ‘what works’ and lessons learned in the field. They are designed to accelerate UNICEF regional and country offices’ programming on social service workforce strengthening, and support work to better plan, develop and support the social services workf...orce with national and regional partners.
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J Acquir Immune Defic Syndr Volume 78, Supplement 1, August 15, 2018
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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