Evidence map›Paper›PMID 33439903›Full record

ArticlePloS one2021

Economic and epidemiological evaluation of interventions to reduce the burden of hepatitis C in Yunnan province, China.

Alastair Heffernan, Yanling Ma, Shevanthi Nayagam, Polin Chan, Zhongdan Chen, Graham S Cooke, Yan Guo, Chuntao Liu, Mark Thursz, Wanyue Zhang and 4 more

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

14 authors.

Alastair HeffernanSchool of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-8077-6823
Yanling MaYunnan Center for Disease Control and Prevention, Kunming, China.
Shevanthi NayagamSchool of Public Health, Imperial College London, London, United Kingdom.
Polin ChanWorld Health Organization Western Pacific Regional Office, Manila, Philippines.
Zhongdan ChenWorld Health Organization Western Pacific Regional Office, Manila, Philippines.
Graham S CookeSchool of Public Health, Imperial College London, London, United Kingdom.
Yan GuoYunnan Center for Disease Control and Prevention, Kunming, China.
Chuntao LiuYunnan Center for Disease Control and Prevention, Kunming, China.
Mark ThurszSchool of Public Health, Imperial College London, London, United Kingdom.
Wanyue ZhangYunnan Center for Disease Control and Prevention, Kunming, China.
Xiaobing ZhangYunnan Center for Disease Control and Prevention, Kunming, China.
Xiujie ZhangYunnan Center for Disease Control and Prevention, Kunming, China.
Manhong JiaYunnan Center for Disease Control and Prevention, Kunming, China.
Timothy B HallettSchool of Public Health, Imperial College London, London, United Kingdom.

Funding

Department of Health 14/02/17Department of Health RP-2016-07-012Medical Research Council MR/P025064/1Medical Research Council MR/R015600/1Wellcome TrustWellcome Trust 105268/Z/14/ZWorld Health Organization 001
6 · The paper itself

Abstract

backgroundThe paradigm shift in hepatitis C virus (HCV) treatment options in the last five years has raised the prospect of eliminating the disease as a global health threat. This will require a step-change in the number being treated with the new direct-acting antivirals (DAAs). Given constrained budgets and competing priorities, policy makers need information on how to scale-up access to HCV treatment. To inform such decisions, we examined the cost effectiveness of screening and treatment interventions in Yunnan, China. METHODS AND

findingsWe simulated the HCV epidemic using a previously published model of HCV transmission and disease progression, calibrated to Yunnan data, and implemented a range of treatment and screening interventions from 2019. We incorporated treatment, diagnosis, and medical costs (expressed in 2019 US Dollars, USD) to estimate the lifetime benefits and costs of interventions. Using this model, we asked: is introducing DAAs cost effective from a healthcare sector perspective; what is the optimal combination of screening interventions; and what is the societal return on investment of intervention? The incremental cost-effectiveness ratio (ICER) of switching to DAAs with a median cost of 7,400 USD (50,000 Chinese Yuan) per course is 500 USD/disability adjusted life year (DALY) averted; at a threshold of 50% of Yunnan gross domestic product (2,600 USD), switching to DAAs is cost effective 94% of the time. At this threshold, the optimal, cost-effective intervention comprises screening people who inject drugs, those in HIV care, men who have sex with men, and ensuring access to DAAs for all those newly diagnosed with HCV. For each USD invested in this intervention, there is an additional 0·80 USD (95% credible interval: 0·17-1·91) returned through reduced costs of disease or increased productivity. Returns on investment are lower (and potentially negative) if a sufficiently long-term horizon, encompassing the full stream of future benefits, is not adopted. The study had two key limitations: costing data were not always specific to Yunnan province but were taken from China-level studies; and modelled interventions may require more operational research to ensure they can be effectively and efficiently rolled-out to the entire province.

conclusionsIntroducing DAAs is cost effective, the optimal package of screening measures is focussed on higher risk groups, and there are likely to be positive returns from investing in such HCV interventions. Our analysis shows that targeted investment in HCV interventions will have net benefits to society; these benefits will only increase as DAA costs fall.

Indexed as

Cost of IllnessAntiviral AgentsBayes TheoremChinaHepatitis CHumansIncidenceModels, TheoreticalQuality-Adjusted Life YearsAntiviral Agents

Identifiers

PMID33439903
PMCPMC7806158

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.