Analytical Report
Almaty 2015
Accessed: 26.09.2019
Bishkek 2015
Accessed: 26.09.2019
J Epidemiol Community Health 2011;65:1166e1170. doi:10.1136/jech.2009.097469
PLOS ONE | https://doi.org/10.1371/journal.pone.0185526 September 28, 2017
Global Health and Tropical Medicine, GHTM, Instituto de Higiene e Medicina Tropical, IHMT, Universidade Nova de Lisboa, UNL, Lisboa, Portugal
InternatIonal Journal of adolescence and Youth
2019, Vol. 24, No. 3, 362–379
https://doi.org/10.1080/02673843.2018.1479278
Rueda S, et al. BMJ Open 2016;6:e011453. doi:10.1136/bmjopen-2016-011453
dos Santos et al. BMC Public Health 2014, 14:80 http://www.biomedcentral.com/1471-2458/14/80
This guide has been written to provide information and practical advice on developing and delivering local plans an strategies to commission the most effective and efficient older people’s mental health services.Based upon clinical best practice guidance and drawing upon the range of available evi...dence, it describes what should be expected of an older people’s mental health service in terms of effectiveness, outcomes and value for money.
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The report discusses the epidemiological and social aspects of ageing, health and functional changes experienced with ageing, the impact of physical activity, assessment of the nutritional status of older persons, and nutritional guidelines for healthy ageing.
Recommendations for a public health approach
HIV/AIDS Programme
Inter-Agency Task Team on HIV and Young People
Guidance Brief
Accessed: 09.11.2019
Vision 2030
Accessed: 17.11.2019
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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Revided Version
September 2013