Infant Psychiatry
Chapter B.2
Assessment in action series
Key Findings from Azerbaijan, Georgia, Kyrgyzstan, Russia, and Ukraine
Writing by Katya Burns
Editing by Paul Silva and Roxanne Saucier
Trials (2018) 19:271 https://doi.org/10.1186/s13063-018-2604-9
Based on the findings of this trial, we will examine the potential use and scale up of iSupport for caregiver distress in India. This style of online self-help programs could be expanded to other regions or countries or to other suitabl...e caregiver groups
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PERC produces regional and member state situation analyses, updated regularly.
Module 10
Testing providers
July 2017
Module 10: Testing providers. This module is for people who provide testing services at PrEP sites and laboratories. It offers guidance in selecting testing services, including screening of individuals before PrEP is initiated and monitoring while they ar...e taking PrEP. Information is provided on HIV testing, creatinine, HBV and HCV, pregnancy and STIs.
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2nd edition.
Like the original, this second edition of the guidance aims to inform the revision of existing national guidelines and standards for managing Tuberculosis (TB), many of which include guidance on children. It includes recommendations, based on the best available evidence, for improving ...the management of children with TB and of children living in families with TB. National and regional TB control programmes may wish to adapt these recommendations according to local circumstances
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Key facts about major deadly diseases.This manual provides concise and up-to-date knowledge on 15 infectious diseases that have the potential to become international threats, and tips on how to respond to each of them.
You can download an interactive version directly at the website
http://www.who....int/emergencies/diseases/managing-epidemics/en/
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Lancet Planet Health 2021; 5: e93–101
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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