Evidence map›Paper›PMID 29441504›Full record

ArticlePharmacoEconomics - open2017

Statistical Alchemy: Conceptual Validity and Mapping to Generate Health State Utility Values.

Jeff Round, Annie Hawton

Abstract read
In one paragraph

Article in PharmacoEconomics - open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–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

22 citing papers in PubMed.

  1. Mapping from SIBDQ to EQ-5D-5L for patients with inflammatory bowel disease.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Trial
  2. Trial
  3. Mapping functions in health-related quality of life: mapping from the Achilles Tendon Rupture Score to the EQ-5D.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2018
    Trial
  4. Article
  5. Article
  6. Article
  7. Mapping the obesity problems scale to the SF-6D: results based on the Scandinavian Obesity Surgery Registry (SOReg).The European journal of health economics : HEPAC : health economics in prevention and care · 2023
    Article
  8. Mapping the Peds QLFrontiers in public health · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Mapping the Haem-A-QoL to the EQ-5D-5L in patients with hemophilia.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  13. Predicting presenteeism using measures of health status.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  14. Mapping of the EORTC QLQ-C30 to EQ-5D-5L index in patients with lymphomas.The European journal of health economics : HEPAC : health economics in prevention and care · 2020
    Article
  15. Using qualitative methods for a conceptual analysis of measures of health status and presenteeism prior to a mapping study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
    Article
  16. Development of algorithms to estimate EQ-5D and derive health utilities from WHOQOL-HIV Bref: a mapping study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
    Article
  17. Article
  18. Review
  19. Mapping the Strengths and Difficulties Questionnaire onto the Child Health Utility 9D in a large study of children.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
    Article
  20. 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

2 authors.

Jeff RoundSchool of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS, UK. jeff.round@bristol.ac.uk.ORCID http://orcid.org/0000-0002-3103-6984
Annie HawtonHealth Economics Group, University of Exeter Medical School, University of Exeter, Exeter, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mapping between non-preference- and preference-based health-related quality-of-life instruments has become a common technique for estimating health state utility values for use in economic evaluations. Despite the increased use of mapped health state utility estimates in health technology assessment and economic evaluation, the methods for deriving them have not been fully justified. Recent guidelines aim to standardise reporting of the methods used to map between instruments but do not address fundamental concerns in the underlying conceptual model. Current mapping methods ignore the important conceptual issues that arise when extrapolating results from potentially unrelated measures. At the crux of the mapping problem is a question of validity; because one instrument can be used to predict the scores on another, does this mean that the same preference for health is being measured in actual and estimated health state utility values? We refer to this as conceptual validity. This paper aims to (1) explain the idea of conceptual validity in mapping and its implications; (2) consider the consequences of poor conceptual validity when mapping for decision making in the context of healthcare resource allocation; and (3) offer some preliminary suggestions for improving conceptual validity in mapping.

Identifiers

PMID29441504
PMCPMC5711748

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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.