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Bulletin of the World Health Organization 2007;85:637–643
Une traduction en français de ce résumé figure à la fin de l’article.
Al final del artículo se facilita una traducción al español.
الترجمة العربية لهذه الخلاصة في نهاية النص الكامل ل...هذه المقالة.
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3rd Edition – July 2017
www.msfaccess.org
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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UNAIDS 2018 / Guidance
Guidance for policy-makers, and people living with, at risk of or affected by HIV
UNAIDS 2017 / Reference
Generating evidence for policy and action on HIV and social protection
A Systematic Review and Meta-analysis
Clinical Infectious Diseases® 2016;62(12):1586–94
Accelerating HIV prevention to reduce new infections by 75%
Original Research
Rev Panam Salud Publica 43, 2019 | www.paho.org/journal | https://doi.org/10.26633/RPSP.2019.31
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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International Journal of Infectious Diseases 80 (2019) 10–15
journal homepage: www.elsevier.com/locate/ijid