Evidence map›Paper›PMID 30563525›Full record

ArticleHealth and quality of life outcomes2018

Valuing health states: is the MACBETH approach useful for valuing EQ-5D-3L health states?

Mónica Duarte Oliveira, Andreia Agostinho, Lara Ferreira, Paulo Nicola, Carlos Bana E Costa

Abstract readValidation Study
In one paragraph

Article in Health and quality of life outcomes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Multi-criteria decision analysis for health technology assessment: addressing methodological challenges to improve the state of the art.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
    Pooled it
  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

5 authors.

Mónica Duarte OliveiraCentre for Management Studies of Instituto Superior Técnico - CEG-IST, Universidade de Lisboa, Lisbon, Portugal.
Andreia AgostinhoCentre for Management Studies of Instituto Superior Técnico - CEG-IST, Universidade de Lisboa, Lisbon, Portugal.
Lara FerreiraUniversity of the Algarve - ESGHT, Faro, Portugal. lnferrei@ualg.pt.ORCID http://orcid.org/0000-0003-2378-7750
Paulo NicolaEpidemiology Unit, Faculty of Medicine, Institute of Preventive Medicine, Universidade de Lisboa, Lisbon, Portugal.
Carlos Bana E CostaCentre for Management Studies of Instituto Superior Técnico - CEG-IST, Universidade de Lisboa, Lisbon, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuality Adjusted Life Years (QALYs) are a key outcome measure widely used within health technology assessment and health service research studies. QALYs combine quantity and quality of life, with quality of life calculations relying on the value of distinct health states. Such health states' values capture the preferences of a population and have been typically built through numerical elicitation methods. Evidence points to these value scores being influenced by methods in use and individuals reporting cognitive difficulties in eliciting their preferences. Evidence from other areas has further suggested that individuals may prefer using distinct elicitation techniques and that this preference can be influenced by their numeracy. In this study we explore the use of the MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique) non-numerical preference elicitation approach for health states' evaluation.

methodsA new protocol for preference elicitation based on MACBETH (only requiring qualitative judgments) was developed and tested within a web survey format. A sample of the Portuguese general population (n=243) valued 25 EQ-5D-3L health states with the MACBETH protocol and with a variant of the time trade-off (TTO) protocol, for comparison purposes and for understanding respondents' preference for distinct protocols and differences in inconsistent evaluations. Respondents answered to a short numeracy test, and basic socio-economic information collected.

resultsResults show that the mean values derived from MACBETH and the TTO variant are strongly correlated; however, there are substantial differences for several health states' values. Large and similar numbers of logical inconsistencies were found in respondents' answers with both methods. Participants with higher levels of numeracy according to the test preferred expressing value judgments with MACBETH, while participants with lower levels were mostly indifferent to both methods. Higher correlations between MACBETH and TTO variant evaluations were observed for individuals with higher numeracy.

conclusionResults suggest that it is worth researching the use of non-numerical preference elicitation methods. Numeracy tests more appropriate for preference elicitation when no explicit considerations of uncertainty are made need to be explored and used. Further behavioural research is needed to fully understand the potential for using these methods in distinct settings (e.g. in different evaluation contexts and in face-to-face and non-face-to-face environments), as well as to explore the effect of literacy on assessments and on respondents' preferences.

Indexed as

Quality-Adjusted Life YearsQuality of LifeAdultFemaleHealth Services ResearchHumansMaleMiddle AgedSurveys and QuestionnairesHealth states valuationMACBETHPreference-based instrumentsQALYTTO

Identifiers

PMID30563525
PMCPMC6299594

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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.