Evidence map›Paper›PMID 32795317›Full record

ArticleHealth and quality of life outcomes2020

Estimating EQ-5D utilities based on the Short-Form Long Term Conditions Questionnaire (LTCQ-8).

Apostolos Tsiachristas, Caroline M Potter, Stephen Rocks, Michele Peters, Maureen Cundell, Rupert McShane, Laurie Batchelder, Diane Fox, Julien E Forder, Karen Jones and 3 more

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Health and quality of life outcomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Mapping the modified rankin scale (mRS) onto the assessment of quality of life (AQoL) utilities.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Trial
  3. Article
  4. Article
  5. Predicting EQ-5D-3L utility values from clinical data in a prospective cohort of kidney transplant recipients.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Observational
  6. Article
  7. Living well while providing support: validation of LTCQ-Carer for assessing informal carers' quality of life.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    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

13 authors.

Apostolos TsiachristasHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK. apostolos.tsiachristas@ndph.ox.ac.uk.ORCID http://orcid.org/0000-0002-4662-8915
Caroline M PotterHealth Services Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Stephen RocksHealth Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK.
Michele PetersHealth Services Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Maureen CundellOxford Health NHS Foundation Trust, Oxford, UK.
Rupert McShaneOxford Health NHS Foundation Trust, Oxford, UK.
Laurie BatchelderPersonal Social Services Research Unit, School of Social Policy Sociology and Social Research, University of Kent, Canterbury, UK.
Diane FoxPersonal Social Services Research Unit, School of Social Policy Sociology and Social Research, University of Kent, Canterbury, UK.
Julien E ForderPersonal Social Services Research Unit, School of Social Policy Sociology and Social Research, University of Kent, Canterbury, UK.
Karen JonesPersonal Social Services Research Unit, School of Social Policy Sociology and Social Research, University of Kent, Canterbury, UK.
Felicity WaiteOxford Health NHS Foundation Trust, Oxford, UK.
Daniel FreemanOxford Health NHS Foundation Trust, Oxford, UK.
Ray FitzpatrickHealth Services Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Funding

National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care Oxford NANIHR Policy Research Unit on Quality, Safety and Outcomes of Health and Social Care PR-PRU-1217-20702NIHR Research Professorship NIHR-RP-2014-05-003
6 · The paper itself

Abstract

purposeThe aim of this work was to develop a mapping algorithm for estimating EuroQoL 5 Dimension (EQ-5D) utilities from responses to the Long-Term Conditions Questionnaire (LTCQ), thus increasing LTCQ's potential as a comprehensive outcome measure for evaluating integrated care initiatives.

methodsWe combined data from three studies to give a total sample of 1334 responses. In each of the three datasets, we randomly selected 75% of the sample and combined the selected random samples to generate the estimation dataset, which consisted of 1001 patients. The unselected 25% observations from each dataset were combined to generate an internal validation dataset of 333 patients. We used direct mapping models by regressing responses to the LTCQ-8 directly onto EQ-5D-5L and EQ-5D-3L utilities as well as response (or indirect) mapping to predict the response level that patients selected for each of the five EQ-5D-5L domains. Several models were proposed and compared on mean squared error and mean absolute error.

resultsA two-part model with OLS was the best performing based on the mean squared error (0.038) and mean absolute error (0.147) when estimating the EQ-5D-5L utilities. A multinomial response mapping model using LTCQ-8 responses was used to predict EQ-5D-5L responses levels.

conclusionsThis study provides a mapping algorithm for estimating EQ-5D utilities from LTCQ responses. The results from this study can help broaden the applicability of the LTCQ by producing utility values for use in economic analyses.

Indexed as

Quality of LifeAdultChronic DiseaseDatasets as TopicFemaleHumansMaleMiddle AgedSurveys and QuestionnairesEQ-5D-5LIntegrated careLTCQMappingPROMsQuality of life

Identifiers

PMID32795317
PMCPMC7427949

What OpenQuestion holds

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LicenceCC BY
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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.