Evidence map›Paper›PMID 30212497›Full record

ArticlePloS one2018

Influence of supply-side factors on voluntary medical male circumcision costs in Kenya, Rwanda, South Africa, and Zambia.

Sergio Bautista-Arredondo, Sandra G Sosa-Rubi, Marjorie Opuni, David Contreras-Loya, Gina La Hera-Fuentes, Ada Kwan, Claire Chaumont, Abson Chompolola, Jeanine Condo, Kumbutso Dzekedzeke and 7 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 9 institutions in 5 countries.

Sergio Bautista-ArredondoDivision of Health Economics and Health Systems Innovations, National Institute of Public Health (INSP), Cuernavaca, Mexico.
Sandra G Sosa-RubiDivision of Health Economics and Health Systems Innovations, National Institute of Public Health (INSP), Cuernavaca, Mexico.ORCID 0000-0001-7394-481X
Marjorie OpuniIndependent Consultant, Geneva, Switzerland.
David Contreras-LoyaSchool of Public Health, University of California, Berkeley, United States of America.
Gina La Hera-FuentesDivision of Health Economics and Health Systems Innovations, National Institute of Public Health (INSP), Cuernavaca, Mexico.
Ada KwanSchool of Public Health, University of California, Berkeley, United States of America.
Claire ChaumontT.H. Chan School of Public Health, Harvard University, Boston, United States of America.
Abson ChompololaDivision of Economics, University of Zambia, Lusaka, Zambia.
Jeanine CondoSchool of Public Health, National University of Rwanda, Kigali, Rwanda.
Kumbutso DzekedzekeDzekdzeke Research & Consultancy, Lusaka, Zambia.
Omar GalarragaSchool of Public Health, Brown University, Providence, United States of America.
Neil MartinsonPerinatal HIV Research Unit, University of the Witwatersrand, Johannesburg, South Africa.
Felix MasiyeDivision of Economics, University of Zambia, Lusaka, Zambia.
Sabin NsanzimanaRwanda Biomedical Center, Kigali, Rwanda.
Richard WamaiCollege of Social Science and Humanities, Northeastern University, Boston, United States of America.
Joseph Wang'ombeSchool of Public Health, University of Nairobi, Nairobi, Kenya.
ORPHEA study team
University of California, Berkeley · USUniversity of Zambia · ZMBoston University · USBrown University · USHarvard University · USRwanda Biomedical Center · RWUniversity of Nairobi · KEUniversity of Rwanda · RWUniversity of the Witwatersrand · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn this study, we described facility-level voluntary medical male circumcision (VMMC) unit cost, examined unit cost variation across facilities, and investigated key facility characteristics associated with unit cost variation.

methodsWe used data from 107 facilities in Kenya, Rwanda, South Africa, and Zambia covering 2011 or 2012. We used micro-costing to estimate economic costs from the service provider's perspective. Average annual costs per client were estimated in 2013 United States dollars (US$). Econometric analysis was used to explore the relationship between VMMC total and unit cost and facility characteristics.

resultsAverage VMMC unit cost ranged from US$66 (SD US$79) in Kenya to US$160 (SD US$144) in South Africa. Total cost function estimates were consistent with economies of scale and scope. We found a negative association between the number of VMMC clients and VMMC unit cost with a 3% decrease in unit cost for every 10% increase in number of clients and we found a negative association between the provision of other HIV services and VMMC unit cost. Also, VMMC unit cost was lower in primary health care facilities than in hospitals, and lower in facilities implementing task shifting.

conclusionsSubstantial efficiency gains could be made in VMMC service delivery in all countries. Options to increase efficiency of VMMC programs in the short term include focusing service provision in high yield sites when demand is high, focusing on task shifting, and taking advantage of efficiencies created by integrating HIV services. In the longer term, reductions in VMMC unit cost are likely by increasing the volume of clients at facilities by implementing effective demand generation activities.

Indexed as

Health Care CostsAdolescentAdultCircumcision, MaleDelivery of Health CareElective Surgical ProceduresHealth FacilitiesHIV InfectionsHumansKenyaMaleMiddle AgedModels, EconometricRwandaSouth AfricaVolition

Identifiers

PMID30212497
PMCPMC6136711
OpenAlexW2891691987

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.