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Publication Years
1
2452
4873
731
38
4
1
Category
2935
613
482
429
428
165
58
3
Toolboxes
633
610
438
404
402
341
271
240
229
221
204
179
171
139
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131
120
120
119
96
71
55
48
40
38
6
2
Policy Brief
Accessed: 08.11.2020
Meeting Report ECDC/WHO Joint Meeting on European HIV/AIDS Surveillance 10-11 March 2016, Bratislava
ECDC European Center for disease prevention and control; World Health Organization (Europe); EACS European AIDS Clinical Society
(2019)
C2
Accessed: 20.11.2019
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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Diagnosis and Treatment Outcomes of Tuberculosis in Relation to Gender and HIV Status in South Benin
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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