Practical Guideline for collaborative interventions
Technical Brief
Damon Barrett, Gonçalo Figueiredo Augusto, Martiani Oktavia, Jeanette Olsson, Mira Schneiders and Kate Welch provided background papers and literature reviews which informed this technical series.
Eurosurveillance
Impact Factor 5.7
June 2015
www.eurosurveillance.org
Featuring a series of articles on HIV and STI epidemiology, prevention and control among MSM in Europe
Consolidated Guidelines
Geneva, 2016
The End TB Strategy
Report by the Director-General. 75th World health assembly 25 April 2022
How WHO works to prevent drug use, reduce harm and improve safe access to medicines
Practical Guidance for collaborative interventions
Guidelines
Key Populations
EClinicalMedicine 1 (2018) 21–27
https://doi.org/10.1016/j.eclinm.2018.06.005
2589-5370/© 2018 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
EClinicalMedicine: journal homepage: https://www.jo...urnals.elsevier.com/ eclinicalmedicine
Research Paper
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PLOS ONE | https://doi.org/10.1371/journal.pone.0192765 February 23, 2018
Strengthening Community responses to HIv Treatment and Prevention
Accountability for the global health sector strategies, 2016–2021
WHO/CDS/HIV/19.7
Washington, D.C., USA, 23-27 September 2018
Provisional Agenda Item 4.6
CD56/10, Rev. 1 31 August 2018
Original: Spanish
Training for Health Care Providers
Facilitators’ Manual
Research Article
PLOS ONE | https://doi.org/10.1371/journal.pone.0189770 January 2, 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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