Literature DB >> 19901631

Are the investments in national HIV monitoring and evaluation systems paying off?

Greet Peersman1, Deborah Rugg, Taavi Erkkola, Eva Kiwango, Ju Yang.   

Abstract

BACKGROUND: Concerted efforts and substantial financial resources have gone toward strengthening national monitoring and evaluation (M&E) systems for HIV programs. This article explores whether those investments have made a difference in terms of data availability, quality and use for assessing whether national programs are on track to achieve the 2015 Millennium Development Goal (MDG) of halting and reversing the HIV epidemic.
METHODS: Descriptive analyses, including trends, of the National Composite Policy Index data and M&E expenditures were conducted. Global Fund funding continuation assessments were reviewed for concerns related to M&E. Availability of population-based survey data was assessed.
RESULTS: There has been a marked increase in the number of countries where the prerequisites for a national HIV M&E system are in place and in human resources devoted to M&E at the national level. However, crucial gaps remain in M&E capacity, available M&E data, and data quality assurance. The extent to which data are used for program improvement is difficult to ascertain. There is a potential threat to sustaining the current momentum in M&E as governments have not committed long-term funding and current M&E-related expenditures are below the minimum needed to make M&E systems fully functional.
CONCLUSIONS: There is evidence of rapid scale-up of basic HIV M&E systems, but if M&E is to fulfil its role in guiding optimal use of resources, ensuring effective HIV programs and providing evidence of progress toward the Millennium Development Goal of halting and reversing the HIV epidemic, essential data gaps will need to be filled urgently and those data will need to be used to guide decision making.

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Year:  2009        PMID: 19901631     DOI: 10.1097/QAI.0b013e3181baede7

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.731


  11 in total

1.  Packaging PrEP to Prevent HIV: An Integrated Framework to Plan for Pre-Exposure Prophylaxis Implementation in Clinical Practice.

Authors:  Kristen Underhill; Don Operario; Margie Skeer; Matthew Mimiaga; Ken Mayer
Journal:  J Acquir Immune Defic Syndr       Date:  2010-09       Impact factor: 3.731

Review 2.  Implementation science of pre-exposure prophylaxis: preparing for public use.

Authors:  Kristen Underhill; Don Operario; Matthew J Mimiaga; Margie R Skeer; Kenneth H Mayer
Journal:  Curr HIV/AIDS Rep       Date:  2010-11       Impact factor: 5.071

3.  An assessment of routine primary care health information system data quality in Sofala Province, Mozambique.

Authors:  Sarah Gimbel; Mark Micek; Barrot Lambdin; Joseph Lara; Marina Karagianis; Fatima Cuembelo; Stephen S Gloyd; James Pfeiffer; Kenneth Sherr
Journal:  Popul Health Metr       Date:  2011-05-13

4.  Aligning vertical interventions to health systems: a case study of the HIV monitoring and evaluation system in South Africa.

Authors:  Mary Kawonga; Duane Blaauw; Sharon Fonn
Journal:  Health Res Policy Syst       Date:  2012-01-26

5.  Knowing your HIV/AIDS epidemic and tailoring an effective response: how did India do it?

Authors:  Sema K Sgaier; Mariam Claeson; Charles Gilks; Banadakoppa M Ramesh; Peter D Ghys; Alkesh Wadhwani; Aparajita Ramakrishnan; Annie Tangri; Chandramouli K
Journal:  Sex Transm Infect       Date:  2012-04-17       Impact factor: 3.519

6.  A decade of investments in monitoring the HIV epidemic: how far have we come? A descriptive analysis.

Authors:  Tobias Alfven; Lotus McDougal; Luisa Frescura; Christian Aran; Paul Amler; Wayne Gill
Journal:  Health Res Policy Syst       Date:  2014-10-16

7.  Global AIDS Reporting-2001 to 2015: Lessons for Monitoring the Sustainable Development Goals.

Authors:  T Alfvén; T Erkkola; P D Ghys; J Padayachy; M Warner-Smith; D Rugg; P de Lay
Journal:  AIDS Behav       Date:  2017-07

8.  Improving health information systems for decision making across five sub-Saharan African countries: Implementation strategies from the African Health Initiative.

Authors:  Wilbroad Mutale; Namwinga Chintu; Cheryl Amoroso; Koku Awoonor-Williams; James Phillips; Colin Baynes; Cathy Michel; Angela Taylor; Kenneth Sherr
Journal:  BMC Health Serv Res       Date:  2013-05-31       Impact factor: 2.655

9.  Time series analysis comparing mandatory and voluntary notification of newly diagnosed HIV infections in a city with a concentrated epidemic.

Authors:  Juliana M Reyes-Urueña; Patricia García de Olalla; Santiago Perez-Hoyos; Joan A Caylà
Journal:  BMC Public Health       Date:  2013-04-12       Impact factor: 3.295

10.  Perceptions about data-informed decisions: an assessment of information-use in high HIV-prevalence settings in South Africa.

Authors:  Edward Nicol; Debbie Bradshaw; Jeannine Uwimana-Nicol; Lilian Dudley
Journal:  BMC Health Serv Res       Date:  2017-12-04       Impact factor: 2.655

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