Evidence map›Paper›PMID 32555696›Full record

ArticlePloS one2020

Cost-effectiveness analysis of an outreach model of Hepatitis C Virus (HCV) assessment to facilitate HCV treatment in primary care.

David Brain, Jonathan Mitchell, James O'Beirne

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 1 country.

David BrainAustralian Centre for Health Services Innovation, Melbourne, Australia.ORCID 0000-0002-6612-348X
Jonathan MitchellSunshine Coast University Hospital, Britinya, Australia.
James O'BeirneSunshine Coast University Hospital, Britinya, Australia.
University of the Sunshine Coast · AUQueensland University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effects of hepatitis C virus (HCV), such as morbidity and mortality associated with cirrhosis and liver cancer, is a major public health issue in Australia. Highly effective treatment has recently been made available to all Australians living with HCV. A decision-analytic model was developed to evaluate the cost-effectiveness of the hepatology partnership, compared to usual care. A Markov model was chosen, as it is state-based and able to include recursive events, which accurately reflects the natural history of the chronic and repetitive nature of HCV. Cost-effectiveness of the new model of care is indicated by the incremental cost-effectiveness ratio (ICER), where the mean change to costs associated with the new model of care is divided by the mean change in quality adjusted life-years (QALYs). Ten thousand iterations of the model were run, with the majority (73%) of ICERs representing cost-savings. In comparison to usual care, the intervention improves health outcomes (22.38 QALYs gained) and reduces costs by $42,122 per patient. When compared to usual care, a partnership approach to management of HCV is cost-effective and good value for money, even when key model parameters are changed in scenario analyses. Reduction in costs is driven by improved efficiency of the new model of care, where more patients are treated in a timely manner, away from the expensive tertiary setting. From an economic perspective, a reduction in hospital-based care is a positive outcome and represents a good investment for decision-makers who wish to maximise health gain per dollar spent.

Indexed as

Cost-Benefit AnalysisQuality-Adjusted Life YearsAdultAustraliaDisease ManagementFemaleHepacivirusHepatitis C, ChronicHumansMaleMarkov ChainsMiddle AgedPatient Care ManagementPrimary Health Care

Identifiers

PMID32555696
PMCPMC7299404
OpenAlexW3036291301

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.