| Literature DB >> 27783613 |
Catherine Hankins1,2, Mitchell Warren3, Emmanuel Njeuhmeli4.
Abstract
Over 11 million voluntary medical male circumcisions (VMMC) have been performed of the projected 20.3 million needed to reach 80% adult male circumcision prevalence in priority sub-Saharan African countries. Striking numbers of adolescent males, outside the 15-49-year-old age target, have been accessing VMMC services. What are the implications of overall progress in scale-up to date? Can mathematical modeling provide further insights on how to efficiently reach the male circumcision coverage levels needed to create and sustain further reductions in HIV incidence to make AIDS no longer a public health threat by 2030? Considering ease of implementation and cultural acceptability, decision makers may also value the estimates that mathematical models can generate of immediacy of impact, cost-effectiveness, and magnitude of impact resulting from different policy choices. This supplement presents the results of mathematical modeling using the Decision Makers' Program Planning Tool Version 2.0 (DMPPT 2.0), the Actuarial Society of South Africa (ASSA2008) model, and the age structured mathematical (ASM) model. These models are helping countries examine the potential effects on program impact and cost-effectiveness of prioritizing specific subpopulations for VMMC services, for example, by client age, HIV-positive status, risk group, and geographical location. The modeling also examines long-term sustainability strategies, such as adolescent and/or early infant male circumcision, to preserve VMMC coverage gains achieved during rapid scale-up. The 2016-2021 UNAIDS strategy target for VMMC is an additional 27 million VMMC in high HIV-prevalence settings by 2020, as part of access to integrated sexual and reproductive health services for men. To achieve further scale-up, a combination of evidence, analysis, and impact estimates can usefully guide strategic planning and funding of VMMC services and related demand-creation strategies in priority countries. Mid-course corrections now can improve cost-effectiveness and scale to achieve the impact needed to help turn the HIV pandemic on its head within 15 years.Entities:
Mesh:
Year: 2016 PMID: 27783613 PMCID: PMC5082625 DOI: 10.1371/journal.pone.0160699
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Comparison of VMMC client age groups to their representation in the general male population that is uncircumcised.
Priority country-specific age groups by indicator of interest.
| Indicator | Malawi [ | Tanzania [ | Swaziland [ | South Africa [ | Uganda [ | Zambia [ | Zimbabwe [ |
|---|---|---|---|---|---|---|---|
| Number of VMMC/HIV infections averted | 20–34 | 20–34 | 15–34 | 20–34 | 20–34 | 15–29 | 15–34 |
| Immediacy of impact | 20–34 | 20–34 | 20–29 | 20–34 | 20–34 | 15–24 | 15–24 |
| Magnitude of impact | 15–24 | 10–24 | 15–29 | 15–24 | 10–19 | 10–24 | 10–24 |
| Cost-effectiveness | 15–34 | 15–34 | 15–34 | 15–34 | 15–34 | 15–29 | 15–34 |
| PEPFAR target [ | 15–29 | 10–29 | 15–29 | 15–34 | 15–29 | 15–29 | 15–29 |
| New country age target | 10–34 | 10–34 | 10–34 | TBD | 10–34 | TBD | 13–29 |
* Swaziland new country age target: 50% coverage for neonates, 80% coverage among males ages 10–29 years, and 50% coverage among males ages 30–34 years.