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Practical Guidance for collaborative interventions
Serving the needs of Key Populations: Case examples of innovation and good practice in HIV Prevention, Diagnosis, Treatment and Care
A. Armstrong; C. Irvine; C. Figueroa; A. Verster; R. Baggaley et al.
World Health Organization WHO
(2017)
C_WHO
This WHO guidelines highlight innovative, community-led, and peer-driven approaches to reduce HIV risks among key populations—sex workers, trans people, MSM, people who inject drugs, and prisoners. Effective practices integrate services, utilize trained peers for testing (HTS), and provide stigma-
...
free, targeted care to increase engagement
more
UNAIDS 2017 / Reference
Generating evidence for policy and action on HIV and social protection
Disease outbreak news, 21 November 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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Politique Nationale de Promotion de la Santé, Version Finale
Objective: The study aimed to describe the current epidemiological, clinical and immunological profile of newly
detected HIV - positive patients in Northern Benin by 2016. Methods: It was a prospective study conducted from May 2 to
October 31, 2016 on three main sites of care of people living with
...
HIV (PLHIV) in the department of Borgou in Benin. All
new cases of HIV infection have been systematically and comprehensively recruited. Initial epidemiological, clinical and
immunological data were collected using a questionnaire. These data were entered and analyzed using the Epi Info 7 software.
Results: In total, 185 adults (68 male and 117 female) newly screened HIV positive were included in this study. The middle age
was 36.2 ± 10.9 years and the sex ratio was 0.6 One hundred and thirty-five patients (73%) were between 25 and 50 years old.
In terms of the profession, 132 patients (71.3%) were engaged in liberal activities (craftmen, traders and retailers). The
majority was schooled (113 or 61.1%) and resided in urban areas (146 or 79%). One hundred and sixteen patients lived in
couple (62.7%) with an average monthly income estimated at 70 US Dollars. Clinically, 123 patients (66.5%) were in WHO
stage III. The body mass index was over 18.5 kg/m2 in 124 patients (67%). The median number of TCD4 lymphocytes was
254.5 cells/ml and 25 patients (13.5%) had a number of CD4 over 500 cells/ml. HIV1 was really predominant (97.8%). Most
patients (152 or 82.2%) had been screened for clinical suspicion. Conclusion: HIV infection in Benin remains the prerogative
of young, female, educated and poor people. Screening is delayed and hence the need to develop innovative strategies for early
more
Strengthening the capacities of SUN Countries by sharing and disseminating good practices in the fight against malnutrition.
This report is a summary of the results of the preparation and implementation of the Learning Route (LR) organized jointly by the SUN (Scaling Up Nutrition) Movement’s S
...
ecretariat, the Fight Against Malnutrition Unit (CLM, Cellule de Lutte contre la Malnutrition) and PROCASUR Corporation; this Learning Route was held in Senegal from the 26th of May to the 1st of June, 2014. The aim of this publication is to illustrate the experience, its main outcomes, and the lessons learned.
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Accessed Febr. 6, 2020
