Evidence map›Paper›PMID 34184794›Full record

ArticleAddiction (Abingdon, England)2022

An intensive model of care for hepatitis C virus screening and treatment with direct-acting antivirals in people who inject drugs in Nairobi, Kenya: a model-based cost-effectiveness analysis.

Nyashadzaishe Mafirakureva, Jack Stone, Hannah Fraser, Yvonne Nzomukunda, Aron Maina, Angela W Thiong'o, Kibango Walter Kizito, Esther W K Mucara, C Inés González Diaz, Helgar Musyoki and 16 more

Open access · greenAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. 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

26 authors at 12 institutions in 6 countries.

Nyashadzaishe MafirakurevaPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0001-9775-6581
Jack StonePopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Hannah FraserPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0002-4340-9995
Yvonne NzomukundaMédecins Sans Frontières (MSF), Nairobi, Kenya.
Aron MainaMédecins Sans Frontières (MSF), Nairobi, Kenya.
Angela W Thiong'oMédecins Sans Frontières (MSF), Nairobi, Kenya.
Kibango Walter KizitoMédecins Sans Frontières (MSF), Nairobi, Kenya.
Esther W K MucaraMédecins du Monde (MdM), Nairobi, Kenya.
C Inés González DiazMédecins du Monde (MdM), Nairobi, Kenya.
Helgar MusyokiNational AIDS and STI Control Programme (NASCOP), Nairobi, Kenya.
Bernard MundiaKenya Aids NGO Consortium (KANCO), Nairobi, Kenya.
Peter CherutichMinistry of Health-Republic of Kenya, Nairobi, Kenya.
Mercy NyakowaMinistry of Health-Republic of Kenya, Nairobi, Kenya.
John LizcanoYale University, New Haven, CT, USA.
Nok ChhunYale University, New Haven, CT, USA.
Ann KurthYale University, New Haven, CT, USA.
Matthew J AkiyamaMontefiore Medical Center/Albert Einstein College of Medicine, New York, NY, USA.
Wanjiru WaruiruUniversity of California - San Francisco, San Francisco, CA, USA.
Parinita BhattacharjeeUniversity of Manitoba, Manitoba, Canada.
Charles ClelandNew York University, New York, USA.
Dmytro DonchukMédecins Sans Frontières (MSF), Brussels, Belgium.
Niklas LuhmannMédecins du Monde (MdM), Paris, France.
Anne LoarecEpicentre, Paris, France.
David MamanEpicentre, Paris, France.
Josephine WalkerPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Peter VickermanPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0002-8291-5890
University of Bristol · GBVétérinaires Sans Frontières Suisse · KEYale University · USMinistry of Health · KEAlbert Einstein College of Medicine · USInstitut des Mondes Africains · FRKenya AIDS NGOs Consortium · KEMédecins Sans Frontières · BENational Aids Control Council · KENew York University · USUniversity of California, San Francisco · USUniversity of Manitoba · CA

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Increasing Access to Hepatitis C Treatment in Opioid Endemic Rural Areas: the Kentucky Viral Hepatitis Treatment (KeY Treat) StudyR01DA047952 · NIDA · UNIVERSITY OF KENTUCKY · PI HAVENS, JENNIFER R · 2018 to 2023
$8.7M
Expanding Medication Assisted Therapy in Ukraine (ExMAT)R01DA033679 · NIDA · YALE UNIVERSITY · PI ALTICE, FREDERICK LEWIS · 2012 to 2021
$6.4M
Test and Linkage to Care (TLC_IDU) KenyaR01DA032080 · NIDA · YALE UNIVERSITY · PI CHERUTICH, PETER KIPKOECH, KURTH, ANN ELIZABETH · 2011 to 2015
$4.1M
Leveraging HCV Phylogenetic Networks to Prevent HIV and Other Blood Borne Infections Among People Who Inject DrugsDP2DA053730 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI AKIYAMA, MATTHEW · 2021 to 2021
$2.5M
Optimizing HIV prevention portfolios targeting people who inject drugs using dynamic economic modelingR01AI147490 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARTIN, NATASHA · 2019 to 2022
$2.3M
Modeling Structural HIV Determinants in Substance Users and related populationsR01DA037773 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARTIN, NATASHA, STRATHDEE, STEFFANIE A. · 2015 to 2017
$1.4M
Advance Care Coordination and Enhanced Linkage and Retention Among Transitional Re-Entrants LivingR00DA043011 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI AKIYAMA, MATTHEW · 2020 to 2022
$747k
Informing hepatitis C virus elimination strategies with epidemiological data from highest need populationsR21DA046809 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MORRIS, MEGHAN D · 2019 to 2020
$385k
Advance Care Coordination and Enhanced Linkage and Retention Among Transitional Re-Entrants Living with Hepatitis C-The HCV-ACCELERATE TrialK99DA043011 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI AKIYAMA, MATTHEW · 2017 to 2018
$369k
NCATS NIH HHS UL1 TR001863NIAID NIH HHS R01 AI147490NIDA NIH HHS DP2 DA053730NIDA NIH HHS K99 DA043011NIDA NIH HHS R00 DA043011NIDA NIH HHS R01 DA032080NIDA NIH HHS R01 DA033679NIDA NIH HHS R01 DA037773NIDA NIH HHS R01 DA047952NIDA NIH HHS R21 DA046809
6 · The paper itself

Abstract

BACKGROUND AND

aimsHepatitis C virus (HCV) treatment is essential for eliminating HCV in people who inject drugs (PWID), but has limited coverage in resource-limited settings. We measured the cost-effectiveness of a pilot HCV screening and treatment intervention using directly observed therapy among PWID attending harm reduction services in Nairobi, Kenya.

designWe utilized an existing model of HIV and HCV transmission among current and former PWID in Nairobi to estimate the cost-effectiveness of screening and treatment for HCV, including prevention benefits versus no screening and treatment. The cure rate of treatment and costs for screening and treatment were estimated from intervention data, while other model parameters were derived from literature. Cost-effectiveness was evaluated over a life-time horizon from the health-care provider's perspective. One-way and probabilistic sensitivity analyses were performed.

settingNairobi, Kenya. POPULATION: PWID. MEASUREMENTS: Treatment costs, incremental cost-effectiveness ratio (cost per disability-adjusted life year averted).

findingsThe cost per disability-adjusted life-year averted for the intervention was $975, with 92.1% of the probabilistic sensitivity analyses simulations falling below the per capita gross domestic product for Kenya ($1509; commonly used as a suitable threshold for determining whether an intervention is cost-effective). However, the intervention was not cost-effective at the opportunity cost-based cost-effectiveness threshold of $647 per disability-adjusted life-year averted. Sensitivity analyses showed that the intervention could provide more value for money by including modelled estimates for HCV disease care costs, assuming lower drug prices ($75 instead of $728 per course) and excluding directly-observed therapy costs.

conclusionsThe current strategy of screening and treatment for hepatitis C virus (HCV) among people who inject drugs in Nairobi is likely to be highly cost-effective with currently available cheaper drug prices, if directly-observed therapy is not used and HCV disease care costs are accounted for.

Indexed as

Drug UsersHepatitis CHepatitis C, ChronicSubstance Abuse, IntravenousAntiviral AgentsCost-Benefit AnalysisDisability-Adjusted Life YearsHepacivirusHumansKenyaAntiviral AgentsChronic hepatitis Ccost-effectivenessdirect-acting antiviral treatmentKenyalow-income settingpeople who inject drugs

Identifiers

PMID34184794
PMCPMC8737065
OpenAlexW3174788422

What OpenQuestion holds

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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.