Evidence map›Paper›PMID 38910096›Full record

ArticleThe International journal on drug policy2024

Modeling the impact of the COVID-19 pandemic on achieving HCV elimination amongst young and unstably housed people who inject drugs in San Francisco.

Hannah Fraser, Jack Stone, Shelley N Facente, Adelina Artenie, Sheena Patel, Erin C Wilson, Willi McFarland, Kimberly Page, Peter Vickerman, Meghan D Morris

Abstract read
In one paragraph

Article in The International journal on drug policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Hannah FraserPopulation Health Sciences, Bristol Medical School, University of Bristol, UK.
Jack StonePopulation Health Sciences, Bristol Medical School, University of Bristol, UK.
Shelley N FacenteSchool of Public Health, Division of Epidemiology and Biostatistics, University of California Berkeley, Berkeley, USA; Facente Consulting, Richmond, USA.
Adelina ArteniePopulation Health Sciences, Bristol Medical School, University of Bristol, UK.
Sheena PatelDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA.
Erin C WilsonSan Francisco Department of Public Health, San Francisco, USA.
Willi McFarlandDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA; San Francisco Department of Public Health, San Francisco, USA.
Kimberly PageDepartment of Internal Medicine, Division of Epidemiology, University of New Mexico, USA.
Peter VickermanPopulation Health Sciences, Bristol Medical School, University of Bristol, UK. Electronic address: peter.vickerman@bristol.ac.uk.
Meghan D MorrisDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA.

Funding

Expanding Medication Assisted Therapy in Ukraine (ExMAT)R01DA033679 · NIDA · YALE UNIVERSITY · PI ALTICE, FREDERICK LEWIS · 2012 to 2021
$6.4M
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
Modeling the impact and cost-effectiveness of opioid agonist treatments to reduce the negative consequences of incarceration on HIV and TB transmission in Eastern Europe and Central AsiaR21DA047902 · NIDA · YALE UNIVERSITY · PI ALTICE, FREDERICK LEWIS · 2020 to 2021
$378k
Department of Health NIHR200877NIDA NIH HHS R01 DA033679NIDA NIH HHS R21 DA046809NIDA NIH HHS R21 DA047902Wellcome Trust 226619
6 · The paper itself

Abstract

backgroundYoung adult (18-30 years) people who inject drugs (PWID) face high hepatitis C virus (HCV) prevalence. In San Francisco, where >60% of PWID lack stable housing, barriers hinder HCV treatment access. We assessed progress towards the World Health Organization's (WHO) HCV elimination goal of an 80% reduction in incidence over 2015-2030, focusing on young (YPWID) and unstably housed PWID in San Francisco.

methodsWe developed a dynamic HCV transmission model among PWID, parameterized and calibrated using bio-behavioural survey datasets from San Francisco. This included 2018 estimates for the antibody-prevalence among PWID (77%) and care cascade estimates for HCV for YPWID (72% aware of their status and 33% ever initiating treatment). Based on programmatic data, we assumed a 53.8% reduction in testing and 40.7% decrease in treatment from 2020 due to the COVID-19 pandemic, which partially rebounded from April 2021 with testing rates then being 31.1% lower than pre-pandemic rates and treatment numbers being 19.5% lower. We simulated different scenarios of how services changed after the pandemic to project whether elimination goals would be met.

resultsContinuing post-pandemic rates of testing and treatment, the model projects an 83.3% (95% credibility interval [95% CrI]:60.6-96.9%) decrease in incidence among PWID over 2015-2030 to 1.5/100pyrs (95% CrI:0.3-4.4) in 2030. The probability of achieving the elimination goal by 2030 is 62.0%. Among YPWID and unstably housed PWID, the probability of achieving the elimination goal by 2030 is 54.8 and 67.6%, respectively. Importantly, further increasing testing and treatment rates to pre-pandemic levels by 2025 only results in a small increase in the probability (67.5%) of the elimination goal being achieved among all PWID by 2030, while increased coverage of medication for opioid use disorder among YPWID and/or housing interventions results in the probability of achieving elimination increasing to over 75%.

conclusionThe COVID-19 pandemic impeded progress toward achieving HCV elimination. Our findings indicate that existing partial rebounds in HCV testing and treatment may achieve the elimination goal by 2030, with an additional scale-up of interventions aimed at YPWID or unstably housed PWID ensuring San Francisco is likely to achieve elimination by 2030.

Indexed as

COVID-19Hepatitis CIll-Housed PersonsSubstance Abuse, IntravenousAdolescentAdultFemaleHumansIncidenceMalePrevalenceSan FranciscoYoung AdultEpidemic modelingHepatitis C virus eliminationPeople who inject drugs (PWID)Unstably housed PWIDYoung adult people who inject drugs

Identifiers

PMID38910096
PMCPMC7617003

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.