Accessed: 04.10.2019
The data collection process was organized by UCDC Director, Natalia Nizova, and M&E Department Head, Igor Kuzin, and implemented by M&E specialists from oblast AIDS Centers: Zhanna Antonenko, Oksana Gorbachuk, Volodymyr Zahorovskyi (Kiev City); Anna Lopatenko, Irina Kozina, I...ryna Chukhalova, (Dnipropetrovsk); Galina Vysotskaja, Iryna Petrovska, Oleksandr Guzieiev (Mykolayiv). Qualitative data collection as well as a desk review was done by the WB’s local consultants Anna Shapoval, Olesia Trofymenko, Anna Pisotska and Elena Dzyuba.
The report was prepared by a World Bank Task Team led by Iris Semini (seconded to the World Bank until July 2013, and now back with UNAIDS), and concluded by Emiko Masaki and Marelize Görgens (World Bank), with support and guidance provided by Daniel Dulitzky, Paolo Belli, Alejandro Cedeno, Alona Goroshko and Lombe Kasonde. Administrative support was provided by Anna Goodman, Mario Mendez and Uma Balasubramanian. When draft results were ready, an in-country workshop was held where stakeholders provided their inputs. Once a draft report was produced, written comments were received from World Bank colleagues, Son Nam Nguyen, Rosemary Sunkutu and Alona Goroshko.
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This document is written for medical doctors, clinical officers, medical assistants, nurses, midwives, health surveillance assistants (HSAs), and medical records clerks who are working in public and private sector health facilities in Malawi. It is designed to be a practical guide for implementation... of integrated HIV services.
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Supplement Article
WHO Guidelines for HIV PEP • CID 2015:60 (Suppl 3), S161 - S164
Technical Update
HIV Treatment
July 2017
Research Article
Karo et al. BMC Infectious Diseases 2014, 14:148 http://www.biomedcentral.com/1471-2334/14/148
HIV testing programmes need to ensure that all clients who test for HIV are provided with correct diagnoses. The accuracy of HIV testing is critical to prevent misdiagnosis, as the consequences of giving an incorrect test result can be serious for clients, HIV testing services, HIV programmes and pu...blic health.
With the evolution of global HIV epidemiology, HIV testing approaches must also evolve to maintain accuracy and efficiency in population-level diagnosis. Reports suggest that misdiagnosis of HIV status may occur when suboptimal testing algorithms and out-of-date testing strategies are used. As a result of changing epidemiology and declining HIV positivity in testing, WHO recommends all countries use a standard three-test strategy to ensure a PPV of at least 99%, minimizing false-positive misdiagnosis. The WHO-recommended HIV testing strategy, along with quality assurance measures such as retesting to verify a positive diagnosis prior to initiation of HIV treatment, is cost-effective as it prevents misdiagnosis and unnecessary initiation of costly lifelong treatment.
This implementation guide provides practical advice on switching to a three-test strategy and instituting other measures that can help national HIV programmes deliver high-quality, accurate HIV testing services and ensure that misdiagnosis is minimized.
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Supplement Article
www.jaids.com J Acquir Immune Defic Syndr Volume 78, Supplement 1, August 15, 2018
Accessed November 2, 2017
Report of a mission 20–24 April 2015
UNAIDS/10.03E / JC1767E (English original, March 2010) ISBN 978 92 9 173849 6
Original Research
African Journal of Primary Health Care & Family Medicine
ISSN: (Online) 2071-2936, (Print) 2071-2928
Open Access
Noncommunicable diseases (NCDs) such as cancer, cardiovascular disease, diabetes and chronic respiratory diseases and their risk factors are an increasing public health and development challenge in Kazakhstan. This report provides evidence through three analyses that NCDs reduce economic output and ...discusses potential options in response, outlining details of their relative returns on investment. An economic burden analysis shows that economic losses from NCDs (direct and indirect costs) comprise 2.3 trillion tenge, equivalent to 4.5% of gross domestic product in 2017. An intervention costing analysis provides an estimate of the funding required to implement a set of policy interventions for prevention and clinical interventions. A cost–benefit analysis compares these implementation costs with the estimated health gains and identifies which policy packages would give the greatest returns on investment. For example, the salt policy package achieved a benefit-to-cost ratio of 118.4 over 15 years, a return of more than 118 tenge for every 1 tenge invested.
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