Background: Understanding the natural course of child and adolescent posttraumatic stress disorder (PTSD) has significant implications for the identification of, and intervention for, at-risk youth. We used a meta-analytic approach to examine longitudinal changes in youth PTSD prevalence and symptom...s over the first 12 months posttrauma.
Journal of Child Psychology and Psychiatry57:8 (2016), pp 884–898
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Cochrane Database Syst Rev. 2016 Jul 1; (6): 1–61 -Published online 2016 July 1
Bulletin of the World Health Organization; http://dx.doi.org/10.2471/BLT.16.176677
Dispatches
DOI: http://dx.doi.org/10.3201/eid2203.151607
Emerging Infectious Diseases • www.cdc.gov/eid • Vol. 22, No. 3, March 2016
(Published with Decision No. 3003/QðBYT dated 19/8/2009 of the Minister of Health)
PLOS ONE | https://doi.org/10.1371/journal.pone.0186835 October 30, 2017
Plos Neglected Tropical Diseases 8(11): e3229 (20 November 2014)
Second Generation, WHO Country Cooperation Strategy, 2010–2015, Namibia
This study aimed to estimate the proportion of Mozambicans eligible for pharmacological treatment for hypertension according to single risk factor and total cardiovascular risk approaches. It concluded that a total of 19.8% of 40–64-year-olds would be eligible for pharmacological treatment of hype...rtension according to the WHO guidelines, all of whom had SBP/DBP at least 160/100 mmHg.
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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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