Evidence map›Paper›PMID 23337229›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research

Mapping from disease-specific to generic health-related quality-of-life scales: a common factor model.

Guobing Lu, J E Brazier, A E Ades

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Mapping the EORTC QLQ-C30 onto the EQ-5D-3L: assessing the external validity of existing mapping algorithms.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
    Article
  9. Article
  10. Exploring the relationship between EQ-5D, DLQI and PASI, and mapping EQ-5D utilities: a cross-sectional study in psoriasis from Hungary.The European journal of health economics : HEPAC : health economics in prevention and care · 2014
    Article
  11. Simultaneous multioutcome synthesis and mapping of treatment effects to a common scale.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2014
    Article
  12. Should linking replace regression when mapping from profile-based measures to preference-based measures?Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2014
    Article
  13. Review
  14. Some comments on mapping from disease-specific to generic health-related quality-of-life scales.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Guobing LuSchool of Social and Community Medicine, University of Bristol, Bristol, UK. Guobing.Lu@bristol.ac.uk
J E Brazier
A E Ades

Funding

Medical Research Council G0901488
6 · The paper itself

Abstract

objectivesTo develop a coherent method for estimating mappings between treatment effects on disease-specific measurement (DSM) instruments and generic health-related quality-of-life (QOL) measures, when both are subject to measurement errors.

methodsWe identified three properties that must be satisfied for mappings to be logically coherent: invertability, transitivity, and invariance to linear transformation. Of the common regressions, ordinary least squares (OLS), geometric mean (GM), and orthogonal regression, only GM has all these properties, and then only in special cases. We developed a common factor model of how DSM and generic QOL scales are related, and derived expressions for coherent mapping coefficients. We showed that these are equivalent to adjusted forms of OLS or GM regressions. Where cohort data are available on just one DSM and one QOL measure, external data on the reproducibility of the DSM are required. In some circumstances, the mappings can be estimated without external data. We illustrated the estimation of mapping coefficients by using data on EuroQol five-dimensional (EQ-5D) questionnaire, 12-item short form health survey (SF-12) Mental Component Summary, and the Beck Depression Inventory (BDI), from a trial of treatments for depression.

resultsOLS underestimates and GM overestimates mappings from DSMs to generic QOL measures. Mappings estimated by using external data on reliability were similar to those estimated by using internal data, suggesting approximate adequacy of the common factor model.

conclusionsNeither OLS nor GM regression, unless corrected, is suitable for estimating mappings between disease-specific and generic QOL scales. OLS systematically underestimates mappings, but it can be adjusted by using external information on test-retest reliability.

Indexed as

Models, TheoreticalQuality of LifeSurveys and QuestionnairesDepressionHealth SurveysHumansLeast-Squares AnalysisOutcome Assessment, Health CarePsychiatric Status Rating ScalesRegression AnalysisReproducibility of Results

Identifiers

What OpenQuestion holds

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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.