Evidence map›Paper›PMID 31328443›Full record

ArticleJournal of the International AIDS Society2019

The role of costing in the introduction and scale-up of HIV pre-exposure prophylaxis: evidence from integrating PrEP into routine maternal and child health and family planning clinics in western Kenya.

D Allen Roberts, Ruanne V Barnabas, Felix Abuna, Harison Lagat, John Kinuthia, Jillian Pintye, Aaron F Bochner, Steven Forsythe, Gabriela B Gomez, Jared M Baeten and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the International AIDS Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 5% 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 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

12 authors at 5 institutions in 3 countries.

D Allen RobertsDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Ruanne V BarnabasDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Felix AbunaUniversity of Washington in Kenya, Nairobi, Kenya.
Harison LagatUniversity of Washington in Kenya, Nairobi, Kenya.
John KinuthiaKenyatta National Hospital, Nairobi, Kenya.
Jillian PintyeDepartment of Global Health, University of Washington, Seattle, WA, USA.
Aaron F BochnerDepartment of Global Health, University of Washington, Seattle, WA, USA.
Steven ForsytheAvenir Health, Glastonbury, CT, USA.
Gabriela B GomezDepartment of Global Health and Development, London School of Tropical Hygiene and Medicine, London, United Kingdom.
Jared M BaetenDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Grace John-StewartDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Carol LevinDepartment of Global Health, University of Washington, Seattle, WA, USA.
University of Washington · USUniversity of Nairobi · KEAvenir Health · USKenyatta National Hospital · KELondon School of Hygiene & Tropical Medicine · GB

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI EDWIN ROBERTO ORELLANA · 1988 to 2026
$104.9M
University of Washington Medical Scientist Training Program: MD/PhDT32GM007266 · NIGMS · UNIVERSITY OF WASHINGTON · PI HORWITZ, MARSHALL S. · 1985 to 2023
$30.4M
NIAID NIH HHS P30 AI027757NIGMS NIH HHS T32 GM007266
6 · The paper itself

Abstract

introductionUnderstanding the cost of strategies to reach and deliver pre-exposure prophylaxis (PrEP) to priority populations is essential to assess the cost-effectiveness and budget impact of HIV prevention programmes. Providing PrEP through maternal and child health and family planning clinics offers a promising strategy to reach women in high HIV burden settings. We estimated incremental costs and explored the cost drivers of integrating PrEP delivery into routine maternal and child health and family planning services in Kenya.

methodsWe conducted a costing study from the provider perspective within the PrEP Implementation for Young Women and Adolescents programme in western Kenya. We identified all within- and above-facility activities supporting PrEP delivery and measured clinical service time using time-and-motion studies. We obtained input costs from programme budgets, expenditure records and staff interviews. We estimated changes in costs if creatinine testing were postponed from initiation to first follow-up visit and if PrEP were prioritized to clients at high HIV risk using a behavioural risk assessment tool. We also projected costs under Ministry of Health (MOH) implementation assuming MOH salaries and programme supervision. We estimated annual numbers of PrEP visits from programme data abstracted from 16 facilities between November 2017 and June 2018. We report the cost per client-month of PrEP dispensed in 2017 USD.

resultsFor an annual programme output of 24,005 screenings, 4198 PrEP initiations and 4427 follow-up visits, the average cost per client-month of PrEP dispensed in the study was $26.52. Personnel, drugs and laboratory tests comprised 43%, 25% and 14% of programme costs respectively. Postponing creatinine testing and prioritizing PrEP delivery to clients at high HIV risk reduced total programme costs by 8% and 14% respectively. In the MOH scenario assuming no changes in outputs, the projected cost per client-month of PrEP dispensed decreased to $16.54 and total programme costs decreased by 38%.

conclusionsIncremental PrEP costs are sensitive to the service delivery strategy used to engage priority populations. Postponing creatinine testing and prioritizing PrEP delivery to clients at high HIV risk may reduce costs. Context-specific cost data are crucial to assess the cost-effectiveness and affordability of PrEP delivery models.

Indexed as

Child HealthFamily Planning ServicesAdolescentAdultAnti-HIV AgentsChildFemaleHIV InfectionsHumansPre-Exposure ProphylaxisAnti-HIV Agentscost analysiscost-effectivenesshealth economicsHIVPrEPpreventionwomen

Identifiers

PMID31328443
PMCPMC6643078
OpenAlexW2964150391

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.