Evidence map›Paper›PMID 29979704›Full record

ArticlePloS one2018

Costing analysis of an SMS-based intervention to promote HIV self-testing amongst truckers and sex workers in Kenya.

Gavin George, Taruna Chetty, Michael Strauss, Silas Inoti, Samuel Kinyanjui, Eva Mwai, Matthew L Romo, Faith Oruko, Jacob O Odhiambo, Eston Nyaga and 3 more

Abstract 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 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

13 authors.

Gavin GeorgeHealth Economics and HIV and AIDS Research Division, University of KwaZulu-Natal, Durban, South Africa.ORCID 0000-0001-7258-8470
Taruna ChettyHealth Economics and HIV and AIDS Research Division, University of KwaZulu-Natal, Durban, South Africa.
Michael StraussHealth Economics and HIV and AIDS Research Division, University of KwaZulu-Natal, Durban, South Africa.
Silas InotiNorth Star Alliance, Nairobi, Kenya.
Samuel KinyanjuiNorth Star Alliance, Nairobi, Kenya.
Eva MwaiNorth Star Alliance, Nairobi, Kenya.
Matthew L RomoDepartment of Epidemiology and Biostatistics, CUNY Graduate School of Public Health and Health Policy, City University of New York, New York, United States of America.
Faith OrukoNorth Star Alliance, Nairobi, Kenya.
Jacob O OdhiamboNorth Star Alliance, Nairobi, Kenya.
Eston NyagaNorth Star Alliance, Nairobi, Kenya.
Joanne E MantellHIV Center for Clinical and Behavioral Studies, Department of Psychiatry, Division of Gender, Sexuality and Health, New York State Psychiatric Institute & Columbia University, New York, New York, United States of America.
Kaymarlin GovenderHealth Economics and HIV and AIDS Research Division, University of KwaZulu-Natal, Durban, South Africa.
Elizabeth A KelvinDepartment of Epidemiology and Biostatistics, CUNY Graduate School of Public Health and Health Policy, City University of New York, New York, United States of America.

Funding

Patient and Population Health Outcomes Research SWGP30AI124414 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI HARRIS GOLDSTEIN · 2017 to 2026
$28.3M
NIAID NIH HHS P30 AI124414
6 · The paper itself

Abstract

objectiveHIV testing rates in many sub-Saharan African countries have remained suboptimal, and there is an urgent need to explore strategic yet cost-effective approaches to increase the uptake of HIV testing, especially among high-risk populations.

methodsA costing analysis was conducted for a randomized controlled trial (RCT) with male truckers and female sex workers (FSWs) registered in the electronic health record system (EHRS) of the North Star Alliance, which offers healthcare services at major transit hubs in Southern and East Africa. The RCT selected a sample of truckers and FSWs who were irregular HIV testers, according to the EHRS, and evaluated the effect of SMSs promoting the availability of HIV self-testing (HIVST) kits in Kenyan clinics (intervention program) versus a general SMS reminding clients to test for HIV (enhanced and standard program) on HIV testing rates. In this paper, we calculated costs from a provider perspective using a mixed-methods approach to identify, measure, and value the resources utilized within the intervention and standard programs. The results of the analysis reflect the cost per client tested.

resultsThe cost of offering HIVST was calculated to be double that of routine facility-based testing (USD 10.13 versus USD 5.01 per client tested), primarily due to the high price of the self-test kit. In the two study arms that only offered provider-administered HIV testing in the clinic, only 1% of truckers and 6% of FSWs tested during the study period, while in the intervention arm, which also offered HST, approximately 4% of truckers and 11% of FSWs tested. These lower than expected outcomes resulted in relatively high cost per client estimates for all three study arms. Within the intervention arm, 65% of truckers and 72% of FSWs who tested chose the HIVST option. However, within the intervention arm, the cost per additional client tested was lower for FSWs than for truckers, at USD 0.15 per additional client tested versus USD 0.58 per additional client tested, driven primarily by the higher response rates.

conclusionWhilst the availability of HIVST increased HIV testing among both truckers and FSWs, the cost of providing HIVST is higher than that of a routine health facility-based test, driven primarily by the price of the HIV self-test kit. Future research needs to identify strategies which increase demand for HIVST, and determine whether these strategies and the subsequent increased demand for HIVST are cost-effective in relation to the conventional facility based testing currently available.

Indexed as

Sex WorkersAdultAutomobile DrivingFemaleHIV InfectionsHumansKenyaMass ScreeningSerologic Tests

Identifiers

PMID29979704
PMCPMC6034789

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.