Evidence map›Paper›PMID 27410474›Full record

ArticlePloS one2016

Voluntary Medical Male Circumcision for HIV Prevention in Malawi: Modeling the Impact and Cost of Focusing the Program by Client Age and Geography.

Katharine Kripke, Frank Chimbwandira, Zebedee Mwandi, Faustin Matchere, Melissa Schnure, Jason Reed, Delivette Castor, Sema Sgaier, Emmanuel Njeuhmeli

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.6field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 2 countries.

Katharine KripkeHealth Policy Project, Avenir Health, Washington, DC, United States of America.
Frank ChimbwandiraMinistry of Health, Lilongwe, Malawi.
Zebedee MwandiUnited States Agency for International Development (USAID), Lilongwe, Malawi.
Faustin MatchereUnited States Department of Defense, Lilongwe, Malawi.
Melissa SchnureHealth Policy Project, Futures Group, Washington, DC, United States of America.
Jason ReedUSAID, Washington, DC, United States of America.
Delivette CastorUSAID, Washington, DC, United States of America.
Sema SgaierBill & Melinda Gates Foundation, Seattle, Washington, United States of America.
Emmanuel NjeuhmeliUSAID, Washington, DC, United States of America.ORCID http://orcid.org/0000-0001-5370-4827
United States Agency for International Development · USAvenir Health · USFutures Group (United States) · USGates Foundation · USMinistry of Health · MWUnited States Department of Defense · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2007, the World Health Organization (WHO) recommended scaling up voluntary medical male circumcision (VMMC) in priority countries with high HIV prevalence and low male circumcision (MC) prevalence. According to the Joint United Nations Programme on HIV/AIDS (UNAIDS), an estimated 5.8 million males had undergone VMMC by the end of 2013. Implementation experience has raised questions about the need to refocus VMMC programs on specific subpopulations for the greatest epidemiological impact and programmatic effectiveness. As Malawi prepared its national operational plan for VMMC, it sought to examine the impacts of focusing on specific subpopulations by age and region.

methodsWe used the Decision Makers' Program Planning Toolkit, Version 2.0, to study the impact of scaling up VMMC to different target populations of Malawi. National MC prevalence by age group from the 2010 Demographic and Health Survey was scaled according to the MC prevalence for each district and then halved, to adjust for over-reporting of circumcision. In-country stakeholders advised a VMMC unit cost of $100, based on implementation experience. We derived a cost of $451 per patient-year for antiretroviral therapy from costs collected as part of a strategic planning exercise previously conducted in- country by UNAIDS.

resultsOver a fifteen-year period, circumcising males ages 10-29 would avert 75% of HIV infections, and circumcising males ages 10-34 would avert 88% of infections, compared to the current strategy of circumcising males ages 15-49. The Ministry of Health's South West and South East health zones had the lowest cost per HIV infection averted. Moreover, VMMC met WHO's definition of cost-effectiveness (that is, the cost per disability-adjusted life-year [DALY] saved was less than three times the per capita gross domestic product) in all health zones except Central East. Comparing urban versus rural areas in the country, we found that circumcising men in urban areas would be both cost-effective and cost-saving, with a VMMC cost per DALY saved of $120 USD and with 15 years of VMMC implementation resulting in lifetime HIV treatment costs savings of $331 million USD.

conclusionsBased on the age analyses and programmatic experience, Malawi's VMMC operational plan focuses on males ages 10-34 in all districts in the South East and South West zones, as well as Lilongwe (an urban district in the Central zone). This plan covers 14 of the 28 districts in the country.

Indexed as

AdolescentAdultAge FactorsChildCircumcision, MaleCost-Benefit AnalysisHIV InfectionsHumansMalawiMaleModels, StatisticalNational Health ProgramsPrevalenceVoluntary ProgramsYoung Adult

Identifiers

PMID27410474
PMCPMC4943664
OpenAlexW2472649829

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.