Evidence map›Paper›PMID 31410669›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2019

Health state utility values (QALY weights) for Huntington's disease: an analysis of data from the European Huntington's Disease Network (EHDN).

Annie Hawton, Colin Green, Elizabeth Goodwin, Timothy Harrower

Open access · hybridAbstract read
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  7. SUMO-modifying Huntington's disease.IBRO neuroscience reports · 2022
    Review
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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

4 authors at 2 institutions in 1 country.

Annie HawtonHealth Economics Group, University of Exeter Medical School, University of Exeter, South Cloisters, St Luke's Campus, Magdalen Road, Exeter, Devon, EX1 2LU, UK. a.hawton@exeter.ac.uk.ORCID http://orcid.org/0000-0002-1336-5899
Colin GreenHealth Economics Group, University of Exeter Medical School, University of Exeter, South Cloisters, St Luke's Campus, Magdalen Road, Exeter, Devon, EX1 2LU, UK.
Elizabeth GoodwinHealth Economics Group, University of Exeter Medical School, University of Exeter, South Cloisters, St Luke's Campus, Magdalen Road, Exeter, Devon, EX1 2LU, UK.
Timothy HarrowerNeurology, Royal Devon and Exeter NHS Foundation Trust, Barrack Road, Exeter, Devon, EX2 5DW, UK.
University of Exeter · GBRoyal Devon & Exeter NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuntington's Disease (HD) is a hereditary neurodegenerative disorder which affects individuals' ability to walk, talk, think, and reason. Onset is usually in the forties, there are no therapies currently available that alter disease course, and life expectancy is 10-20 years from diagnosis. The gene causing HD is fully penetrant, with a 50% probability of passing the disease to offspring. Although the impacts of HD are substantial, there has been little report of the quality of life of people with the condition in a manner that can be used in economic evaluations of treatments for HD. Health state utility values (HSUVs), used to calculate quality-adjusted life-years (QALYs), are the metric commonly used to inform such healthcare policy decision-making.

objectivesThe aim was to report HSUVs for HD, with specific objectives to use European data to: (i) describe HSUVs by demographic and clinical characteristics; (ii) compare HSUVs of people with HD in the UK with population norms; (iii) identify the relative strength of demographic and clinical characteristics in predicting HSUVs.

methodsEuropean Huntington's Disease Network REGISTRY study data were used for analysis. This is a multi-centre, multi-national, observational, longitudinal study, which collects six-monthly demographic, clinical, and patient-reported outcome measures, including the SF-36. SF-36 scores were converted to SF-6D HSUVs and described by demographic and clinical characteristics. HSUVs from people with HD in the UK were compared with population norms. Regression analysis was used to estimate the relative strength of age, gender, time since diagnosis, and disease severity (according to the Total Function Capacity (TFC) score, and the UHDRS's Motor score, Behavioural score, and Cognition score) in predicting HSUVs.

results11,328 questionnaires were completed by 5560 respondents with HD in 12 European countries. Women generally had lower HSUVs than men, and HSUVs were consistently lower than population norms for those with HD in the UK, and dropped with increasing disease severity. The regression model significantly accounted for the variance in SF-6D scores (n = 1939; F [7,1931] = 120.05; p < 0.001; adjusted R-squared 0.3007), with TFC score, Behavioural score, and male gender significant predictors of SF-6D values (p < 0.001).

conclusionTo our knowledge, this is the first report of HSUVs for HD for countries other than the UK, and the first report of SF-6D HSUVs described for 12 European countries, according to demographic and clinical factors. Our analyses provide new insights into the relationships between HD disease characteristics and assessment of health-related quality of life in a form that can be used in policy-relevant economic evaluations.

Indexed as

Health StatusHuntington DiseaseQuality-Adjusted Life YearsAdultAgedCost-Benefit AnalysisDatabases, FactualEuropeFemaleHealth SurveysHumansMaleMiddle AgedQuality of LifeRegistriesRegression AnalysisCost-effectiveness analysisHealth state utility valuesHuntington’s diseaseQuality-adjusted life-years

Identifiers

PMID31410669
PMCPMC6856291
OpenAlexW2967518640

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.