Evidence map›Paper›PMID 25481796›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2015

Health state utilities associated with attributes of treatments for hepatitis C.

Louis S Matza, Sandhya J Sapra, John F Dillon, Anupama Kalsekar, Evan W Davies, Mary K Devine, Jessica B Jordan, Amanda S Landrian, David H Feeny

Open access · hybridAbstract read
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 18% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

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  13. Health state utilities associated with treatment process for oral and injectable GLP-1 receptor agonists for type 2 diabetes.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
  14. Article
  15. Health state utilities associated with treatment for transfusion-dependent β-thalassemia.The European journal of health economics : HEPAC : health economics in prevention and care · 2020
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  17. Health state utilities associated with post-surgical Staphylococcus aureus infections.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
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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

9 authors at 5 institutions in 4 countries.

Louis S MatzaOutcomes Research, Evidera, 7101 Wisconsin Avenue, Suite 1400, Bethesda, MD, 20814, USA. louis.matza@evidera.com.
Sandhya J SapraGlobal Health Economics and Outcomes Research, Bristol-Myers Squibb, Princeton, NJ, USA.
John F DillonNHS Tayside and Medical Research Institute, University of Dundee, Dundee, UK.
Anupama KalsekarGlobal Health Economics and Outcomes Research, Bristol-Myers Squibb, Princeton, NJ, USA.
Evan W DaviesOutcomes Research, Evidera, London, UK.
Mary K DevineOutcomes Research, Evidera, 7101 Wisconsin Avenue, Suite 1400, Bethesda, MD, 20814, USA.
Jessica B JordanOutcomes Research, Evidera, 7101 Wisconsin Avenue, Suite 1400, Bethesda, MD, 20814, USA.
Amanda S LandrianOutcomes Research, Evidera, 7101 Wisconsin Avenue, Suite 1400, Bethesda, MD, 20814, USA.
David H FeenyDepartment of Economics, McMaster University, Hamilton, ON, Canada.
Bristol-Myers Squibb (Germany) · DEBristol-Myers Squibb (United States) · USHealth Economics and Outcomes Research (United Kingdom) · GBMcMaster University · CANHS Tayside · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCost-utility analyses are frequently conducted to compare treatments for hepatitis C, which are often associated with complex regimens and serious adverse events. Thus, the purpose of this study was to estimate the utility associated with treatment administration and adverse events of hepatitis C treatments.

designHealth states were drafted based on literature review and clinician interviews. General population participants in the UK valued the health states in time trade-off (TTO) interviews with 10- and 1-year time horizons. The 14 health states described hepatitis C with variations in treatment regimen and adverse events.

resultsA total of 182 participants completed interviews (50% female; mean age = 39.3 years). Utilities for health states describing treatment regimens without injections ranged from 0.80 (1 tablet) to 0.79 (7 tablets). Utilities for health states describing oral plus injectable regimens were 0.77 (7 tablets), 0.75 (12 tablets), and 0.71 (18 tablets). Addition of a weekly injection had a disutility of -0.02. A requirement to take medication with fatty food had a disutility of -0.04. Adverse events were associated with substantial disutilities: mild anemia, -0.12; severe anemia, -0.32; flu-like symptoms, -0.21; mild rash, -0.13; severe rash, -0.48; depression, -0.47. One-year TTO scores were similar to these 10-year values.

conclusionsAdverse events and greater treatment regimen complexity were associated with lower utility scores, suggesting a perceived decrease in quality of life beyond the impact of hepatitis C. The resulting utilities may be used in models estimating and comparing the value of treatments for hepatitis C.

Indexed as

Drug Administration RoutesDrug-Related Side Effects and Adverse ReactionsPatient PreferenceAdultCost-Benefit AnalysisFemaleHealth StatusHepatitis C, ChronicHumansMaleMiddle AgedQuality of LifeSocioeconomic FactorsUnited KingdomCost-utilityHepatitis CTime horizonTime trade-offTreatment process utilityUtility

Identifiers

PMID25481796
PMCPMC4646927
OpenAlexW2082093886

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.