Evidence map›Paper›PMID 25479937›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2016

Are some QALYs more equal than others?

E J van de Wetering, N J A van Exel, J M Rose, R J Hoefman, W B F Brouwer

Abstract read
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In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
–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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

5 authors.

E J van de WeteringInstitute of Health Policy and Management and Institute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, DR, 3000, The Netherlands. vandewetering@bmg.eur.nl.
N J A van ExelInstitute of Health Policy and Management and Institute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, DR, 3000, The Netherlands.
J M RoseInstitute of Transport and Logistics Studies, The University of Sydney, Sydney, Australia.
R J HoefmanInstitute of Health Policy and Management and Institute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, DR, 3000, The Netherlands.
W B F BrouwerInstitute of Health Policy and Management and Institute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, DR, 3000, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Including societal preferences in allocation decisions is an important challenge for the health care sector. Here, we present results of a phased discrete choice experiment investigating the impact of various attributes on respondents' preferences for distribution of health and health care. In addition to the renowned equity principles severity of illness (operationalized as initial health) and fair innings (operationalized as age), some characteristics of beneficiaries (culpability and having dependents) and the disease (rarity) were included in the choice experiment. We used a nested logit model to analyse the data. We found that all selected attributes significantly influenced respondents' choices. The phased inclusion showed that additional attributes affected respondents' preferences for previously-included attributes and reduced unobserved variance. Although not all these attributes may be considered relevant for decision making from a normative perspective, including them in choice experiments contributes to our understanding of societal preferences for each single attribute.

Indexed as

Quality-Adjusted Life YearsAdultAgedChoice BehaviorFemaleHumansMaleMiddle AgedModels, TheoreticalPatient PreferenceQuality of LifeResource AllocationSurveys and QuestionnairesDiscrete choice experimentEquityHealthcare decision makingSocietal preferences

Identifiers

What OpenQuestion holds

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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.