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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UNAIDS 2018 / Guidance
Guidance for policy-makers, and people living with, at risk of or affected by HIV
UNAIDS | 2016–2021 Strategy
Accessed: 20.11.2019
The report shows that where people and communities living with and affected by HIV are engaged in decision-making and HIV service delivery, new infections decline and more people living with HIV gain access to treatment. When people have the power to choose, to know, to thrive, to demand and to work... together, lives are saved, injustices are prevented and dignity is restored.
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Downloaded from https://aidsinfo.nih.gov/guidelines on 11/27/2019
Visit the AIDSinfo website to access the most up-to-date guideline.
Register for e-mail notification of guideline updates at https://aidsinfo.nih.gov/e-news.
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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A Systematic Review and Meta-analysis
Clinical Infectious Diseases® 2016;62(12):1586–94
Rutstein SE et al. Journal of the International AIDS Society 2017, 20:21579 http://www.jiasociety.org/index.php/jias/article/view/21579 | http://dx.doi.org/10.7448/IAS.20.1.21579
Supplement Article
J Acquir Immune Defic Syndr Volume 75, Supplement 2, June 1, 2017 www.jaids.com
May 2018
HIV i-Base
ISSN 1475-2077 www.i-Base.info
Watch for out-of-date information
First questions
You and your doctor Resistance and adherence Treatment choices
Journal of Tuberculosis Research, 2017, 5, 189-200
Background: In Benin, little is known about the influence of both gender and
HIV-status on diagnostic patterns and treatment outcomes of Tuberculosis
(TB) patients. Objective: To assess whether differences in gender and HIV
status affect diagn...ostic patterns and treatment outcomes of TB patients. Methods:
Retrospective cohort study of patients registered in 2013 and 2014 in
the three largest TB Basic Management Units in south Benin. Results: Of 2694
registered TB patients, 1700 (63.1%) were male. Case notification rates were
higher in males compared with females (96 vs 53/100,000 inhabitants). The
male to female ratio was 1:1 in HIV positive patients, but was 2:1 among HIV
negative cases. In HIV-positive patients, there were no differences in TB types
between men and women. In HIV-negative patients, there were significantly
higher proportions of females with clinically diagnosed pulmonary TB (p =
0.04) and extrapulmonary TB (p < 0.001). Retreatment TB was 4.65 times
higher amongst males compared with females. For New bacteriologically confirmed
pulmonary TB, no differences were observed in treatment outcomes
between genders in the HIV positive group; but significantly more unfavorable
outcomes were reported among HIV negative males, with higher rates of
failure (p < 0.001) and loss-to-follow up (p = 0.02). Conclusion: The study
has shown that overall TB notification rates were higher in males than in females
in south Benin, with more females co-infected with HIV. Unfavorable outcomes were more common in HIV-negative males.
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Evaluating the Return on Investment of Scaling Up Treatment for Depression, Anxiety, and Psychosis
Oxford Policy Management (OPM) - APW with UNAIDS (thru TSF)
Report
A Project of the Joep Lange Institute July, 2018
Research Article
PLOS Medicine | DOI:10.1371/journal.pmed.1002253 April 4, 2017
Research Article
Hindawi
BioMed Research International
Volume 2018, Article ID 9619684, 10 pages https://doi.org/10.1155/2018/9619684