| Literature DB >> 24802022 |
Veena Menon1, Elizabeth Gold2, Ramona Godbole3, Delivette Castor4, Hally Mahler5, Steven Forsythe6, Mariam Ally7, Emmanuel Njeuhmeli4.
Abstract
BACKGROUND: Given the proven effectiveness of voluntary medical male circumcision (VMMC) in preventing the spread of HIV, Tanzania is scaling up VMMC as an HIV prevention strategy. This study will inform policymakers about the potential costs and benefits of scaling up VMMC services in Tanzania.Entities:
Mesh:
Year: 2014 PMID: 24802022 PMCID: PMC4011575 DOI: 10.1371/journal.pone.0083925
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Male HIV prevalence and male circumcision prevalence in Tanzania, 2007 and 2012.
| Targeted Regions | HIV Prevalence | Male Circumcision Prevalence | ||
| 2007 | 2012 | 2007 | 2012 | |
|
| 15.7% | - | 37.7% | 59.7% |
| Iringa | - | 9.1% | - | - |
| Njombe | - | 14.8% | - | 49.2% |
|
| 3.4% | 4.8% | 26.4% | 38.9% |
|
| 9.2% | 9.0% | 34.4% | 37.9% |
|
| 7.7% | 4.5% | 89.0% | 87.6% |
|
| 5.5% | 4.2% | 54.1% | 63.8% |
|
| 4.9% | - | 31.4% | - |
| Rukwa | - | 6.2% | - | 27.5% |
| Katavi | - | 5.9% | - | 44.3% |
|
| 7.4% | - | 26.5% | - |
| Shinyanga | - | 7.4% | - | 32.1% |
| Geita | - | 4.7% | - | 41.0% |
| Simiyu | - | 3.6% | - | 30.4% |
|
| 6.4% | - | 42.8% | 55.6% |
References:
1. 2007 Tanzania Demographic and Health Survey, Tanzania Commission for AIDS (TACAIDS), Zanzibar AIDS Commission (ZAC), National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF International 2013.
2. Tanzania HIV/AIDS and Malaria Indicator Survey 2011–12. Dar es Salaam, Tanzania: TACAIDS, ZAC, NBS, OCGS, and ICF International.
In 2012, Iringa was subdivided up into 2 regions: Iringa and Njombe.
Based on the Iringa's boundaries in 2007, male circumcision prevalence was 38 percent.
In 2012, Shinyanga was subdivided into 3 regions: Shinyana, Geita, and Simiyu.
Source: Tanzania DMPPT Impact Model.
| A) VMMC unit costs by region and service delivery model: routine/fixed sites. | ||||||||
| Iringa | Mbeya | Kagera | Tanzania Average | |||||
| Number of VMMCs | 5,244 | 10,568 | 4,057 | 19,869 | ||||
| Cost (US$) | % | Cost (US$) | % | Cost (US$) | % | Cost (US$) | % | |
|
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| 11.04 | 23% | 16.7 | 35% | 16.79 | 47% | 15.22 | 34% |
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| 0.13 | 0% | 0.07 | 0% | 0.1 | 0% | 0.09 | 0% |
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| 18.57 | 38% | 18.06 | 38% | 12.16 | 34% | 16.99 | 37% |
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| 12.46 | 26% | 10.35 | 22% | 5.03 | 14% | 9.82 | 22% |
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| 1.14 | 2% | 1.57 | 3% | 1.42 | 4% | 1.43 | 3% |
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| 3.99 | 8% | 0.16 | 0% | 0.36 | 1% | 1.21 | 3% |
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| 0.36 | 1% | 0.57 | 1% | 0.22 | 1% | 0.44 | 1% |
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| 0.58 | 1% | 0.03 | 0% | 0.01 | 0% | 0.17 | 0% |
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The number of VMMCs presented is a total figure for all sites sampled.
Source: Tanzania DMPPT Impact Model.
Figure 1Cost drivers of VMMC in Tanzania, 2010–2011.
Figure 2VMMCs conducted (2009–2012) and VMMCs required to catch-up and maintain target (2013–2025).
Figure 3Annual number of new HIV infections baseline and with VMMC scale-up (2009–2025).
Figure 4Additional annual cost of scaling up VMMC in Tanzania (2009–2025).
Figure 5Cumulative net costs and cumulative net savings with VMMC scale-up (2010–2025).