Evidence map›Paper›PMID 29949064›Full record

ArticlePharmacoEconomics - open2019

Conducting a Time Trade-Off Study Alongside a Clinical Trial: A Case Study and Recommendations.

Jing Shen, Sarah Hill, David Mott, Matthew Breckons, Luke Vale, Rob Pickard

Erratum issuedAbstract read
In one paragraph

Article in PharmacoEconomics - open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Completing the time trade-off with respondents who are older, in poorer health or with an immigrant background in an EQ-5D-5L valuation study.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
    Article
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  5. Article
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  8. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jing ShenHealth Economics Group, Institute of Health and Society, Newcastle University, Newcastle, UK. jing.shen@newcastle.ac.uk.ORCID http://orcid.org/0000-0001-8450-5003
Sarah HillHealth Economics Group, Institute of Health and Society, Newcastle University, Newcastle, UK.
David MottHealth Economics Group, Institute of Health and Society, Newcastle University, Newcastle, UK.
Matthew BreckonsHealth Economics Group, Institute of Health and Society, Newcastle University, Newcastle, UK.
Luke ValeHealth Economics Group, Institute of Health and Society, Newcastle University, Newcastle, UK.
Rob PickardInstitute of Cellular Medicine, Newcastle University, Newcastle, UK.

Funding

Department of Health 10/57/23Health Technology Assessment Programme 10/57/23
6 · The paper itself

Abstract

Time trade-off (TTO) is an established method in health economics to elicit and value individuals' preferences for different health states. These preferences are expressed in the form of health-state utilities that are typically used to measure health-related quality of life and calculate quality-adjusted life-years in an economic evaluation. The TTO approach to directly elicit health-state utilities is particularly valuable when generic instruments (e.g. EQ-5D) may not fully capture changes in utility in a clinical trial. However, there is limited guidance on how a TTO study should be conducted alongside a clinical trial despite it being a valuable tool. We present an account of the design and development of a TTO study within a clinical trial as a case study. We describe the development of materials needed for the TTO interviews, the piloting of the TTO materials and interview process, and recommendations for future TTO studies. This paper provides a practical guide and reference for future applications of the TTO method alongside a clinical trial.

Identifiers

PMID29949064
PMCPMC6393276

What OpenQuestion holds

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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.