Evidence map›Paper›PMID 40575067›Full record

ArticleBMJ public health2025

Global disparities in access to hepatitis C medicines before and during the early phase of the COVID-19 pandemic: an ARIMA-based interrupted time series analysis.

Marie Paul Nisingizwe, Mina Tadrous, Naveed Z Janjua, Nick Bansback, Bethany Hedt-Gauthier, Katie J Suda, Michael R Law

Abstract read
In one paragraph

Article in BMJ public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. A Bibliometric Analysis of the HCV Drug-Resistant Majority and Minority Variants.International journal of environmental research and public health · 2025
    Article
  3. Article
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

7 authors.

Marie Paul NisingizweCentre for Health Services and Policy Research, The University of British Columbia, Vancouver, British Columbia, Canada.ORCID https://orcid.org/0000-0003-2702-5841
Mina TadrousLeslie Dan Faculty of Pharmacy, University of Toronto - St George Campus, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0003-1911-6129
Naveed Z JanjuaSchool of Population and Public Health, Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.
Nick BansbackSchool of Population and Public Health, Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.
Bethany Hedt-GauthierGlobal Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Katie J SudaCentre for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA.
Michael R LawCentre for Health Services and Policy Research, The University of British Columbia, Vancouver, British Columbia, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The introduction of direct-acting antivirals (DAAs) has allowed countries to reduce the health and economic burden of hepatitis C virus (HCV). However, access to DAAs remains expensive and limited in many countries globally due to wide disparities in HCV drug pricing. We assessed how global use of HCV drugs has changed over time and the effect that COVID-19 might have had on DAA utilisation. Methods: We assessed longitudinal changes in DAA sales by country income group, geographical region and drug type. We also conducted an interrupted time series analysis to assess COVID-19-related changes in the trend of DAA units sold globally. Our analysis used DAA sales data from the IQVIA multinational integrated data analysis database of 52 countries and two regions and HCV prevalence data from Polaris from 2014 to 2020. Our primary outcome was the monthly rate of DAAs sold per 100 000 people living with HCV per country, country income group and geographic region. We then compared the pre-post change in DAA units by drug type and country income group. We fitted autoregressive moving average models with a ramp function to assess the impact of COVID-19 on monthly DAA units sold. Results: Across all countries, from August 2014 to August 2020, a monthly average of 44 219 DAA units per 100 000 HCV cases was sold. High-income countries purchased more units than other groups. In terms of geographic location, North America (124 144 per 100 000 HCV cases) and Europe (81 001 per 100 000 HCV cases) had the highest DAA sales over time; the newer generation of combination DAAs was mainly used in high-income countries. In contrast, first-generation and second-generation DAAs were the predominant types of DAAs sold in lower middle-income countries (LMICs). The pre-post analysis showed a 23% (p<0.001) average decrease in global sales of DAAs during the first phase of COVID-19. The decrease in LMICs (69%, p<0.001) was approximately double that of high-income countries (33%, p<0.001), while upper middle-income countries (UMICs) had a 34% (p<0.001) increase in DAA sales. The pandemic was associated with an immediate and sustained decrease of 9263 units per month (95% CI -14 668 to -3857.46) in high-income countries, a 73.14 (-850.96 to 997.24) unit increase in UMICs and a 742.58 (95% CI -5505.91 to 4020.75) unit decrease in LMICs. Conclusion: Our study showed uneven access to DAAs globally, with higher prevalence-adjusted utilisation in high-income countries compared with lower-income countries. Our study also found that the COVID-19 pandemic has significantly decreased DAA sales in many countries. To counter these trends, additional strategies, such as price reductions, increased competition among manufacturers and licensing agreements, may help to improve access and utilisation of DAAs globally.

Indexed as

COVID-19Disease Transmission, InfectiousDrug MonitoringPharmacoepidemiologyPublic Health

Identifiers

PMID40575067
PMCPMC12198804

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.