2016
DOI: 10.1371/journal.pone.0156909
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Age Targeting of Voluntary Medical Male Circumcision Programs Using the Decision Makers’ Program Planning Toolkit (DMPPT) 2.0

Abstract: BackgroundDespite considerable efforts to scale up voluntary medical male circumcision (VMMC) for HIV prevention in priority countries over the last five years, implementation has faced important challenges. Seeking to enhance the effect of VMMC programs for greatest and most immediate impact, the U. S. President’s Plan for AIDS Relief (PEPFAR) supported the development and application of a model to inform national planning in five countries from 2013–2014.Methods and FindingsThe Decision Makers’ Program Plann… Show more

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Cited by 46 publications
(68 citation statements)
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“…Prior analyses in other countries [12] projected the impact and cost-effectiveness of scaling up to 80% MC coverage in various age groups. Fig 2 shows a series of hypothetical scenarios in which VMMC is scaled up to 80% coverage in individual five-year age groups in Zimbabwe by 2018 and maintained at that level of coverage thereafter.…”
Section: Resultsmentioning
confidence: 99%
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“…Prior analyses in other countries [12] projected the impact and cost-effectiveness of scaling up to 80% MC coverage in various age groups. Fig 2 shows a series of hypothetical scenarios in which VMMC is scaled up to 80% coverage in individual five-year age groups in Zimbabwe by 2018 and maintained at that level of coverage thereafter.…”
Section: Resultsmentioning
confidence: 99%
“…The general limitations of the DMPPT 2.0 model are discussed in the methods paper in this collection [12] and they also apply to this analysis. The primary limitations of this particular analysis are the assumptions about the level at which male circumcision coverage would plateau in each age group, and the fact that the actual relationship between cost and increased coverage by age group is unknown.…”
Section: Resultsmentioning
confidence: 99%
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“…The Decision Makers’ Program Planning Tool, Version 2.0 (DMPPT 2.0), developed by the USAID- and PEPFAR-funded Health Policy Project [27], is a compartmental model that allows the user to analyze the effects of VMMC client age and of geography on program impact and cost-effectiveness. This model was applied to five countries [28], all of which subsequently made policy decisions based on the modeling results.…”
Section: New Mathematical Models For Strategic Demand Creation Priorimentioning
confidence: 99%