Consolidated Guidelines
Geneva, 2016
The End TB Strategy
Guidelines
June 2017
HIV strategic information for impact
Vision 2030
Accessed: 17.11.2019
UNAIDS | 2016–2021 Strategy
Accessed: 20.11.2019
Tema 8.22 da agenda provisória
Washington, D.C., EUA, 23 a 27 de setembro de 2018
CD56/INF/22 31 de agosto de 2018
Original: inglês/espanhol
Washington, D.C., USA, 23-27 September 2018
Provisional Agenda Item 4.6
CD56/10, Rev. 1 31 August 2018
Original: Spanish
Training for Health Care Providers
Facilitators’ Manual
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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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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Topics in Antiviral Medicine 25 Issue 2 May/June 2017
Supplement Article
J Acquir Immune Defic Syndr Volume 75, Supplement 2, June 1, 2017 www.jaids.com
Ade et al. BMC Health Services Research (2016) 16:5
Background: In the “Centre National Hospitalier de Pneumo-Phtisiologie” of Cotonou, Benin, little is known about
the characteristics of patients who have not attended their scheduled appointment, the results of tracing and the
possible b...enefits on improving treatment outcomes. This study aimed to determine the contribution of tracing
activities for those who missed scheduled appointments towards a successful treatment outcome.
Methods: A retrospective cohort study was carried out among all smear-positive pulmonary tuberculosis patients
treated between January and September 2013. Data on demographic and diagnostic characteristics and treatment
outcomes were accessed from tuberculosis registers and treatment cards. Information on those who missed their
scheduled appointments was collected from the tracing tuberculosis register. A univariate analysis was performed
to explore factors associated with missing a scheduled appointment
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