↓ Skip to main content

Valuation of the EQ-5D-5L with composite time trade-off for the German population – an exploratory study

Overview of attention for article published in Health and Quality of Life Outcomes, February 2017
Altmetric Badge

Mentioned by

twitter
1 tweeter
facebook
1 Facebook page
reddit
1 Redditor

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
24 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Valuation of the EQ-5D-5L with composite time trade-off for the German population – an exploratory study
Published in
Health and Quality of Life Outcomes, February 2017
DOI 10.1186/s12955-017-0617-9
Pubmed ID
Authors

Kristina Ludwig, J.-Matthias Graf von der Schulenburg, Wolfgang Greiner

Abstract

The EuroQol Group has extended the severity levels of the EQ-5D from three to five (EQ-5D-5L). There are valuation studies worldwide planned in order to convert the EQ-5D-5L health states into a single preference-based summary score based on country-specific value sets of social health status preference valuations. The EuroQol Group developed an internationally standardised EQ-5D-5L valuation protocol. Based on the experiences of the first wave of valuation studies applying the protocol, a number of modifications to the implementation of composite time trade-off (cTTO) were proposed and tested in an exploratory study in Germany. The aim of the study is to test the improved EQ-5D-5L valuation protocol 1.1 and the implementation of three modifications: (1) introduction of ranking task, (2) separating time trade-off (TTO) tasks for health states "Better Than Dead"(BTD)/"Worse Than Dead" (WTD), (3) allow for removal of problematic valuations from the cTTO data (the feedback module). Data were collected in computer assisted personal interviews with 200 members of the German general public. In comparison to the first wave of valuation studies a higher data quality can be observed in both study arms: increasing number of WTD valuations, reduced inconsistencies for health state 55555 as well as higher values for mild health states. Comparing both study arms, mean observed cTTO value for severity 6 is higher in the test arm. The proportion of inconsistent cTTO responses is lower in the test arm than in the control arm and is further reduced by the feedback module. The ranking task prolongs the interview without the desired effect. Both study arms yielded higher data quality in comparison to the first wave of EQ-5D-5L valuation studies. The valuation protocol combined with an intensive interviewer training and close data monitoring showed a high feasibility and acceptability to the respondents of the general population as well as the interviewers in Germany. Based on the results of this study and other countries, the separation of TTO tasks for health states BTD/WTD and the feedback module will be implemented in the valuation study for the EQ-5D-5L for Germany.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 21%
Student > Ph. D. Student 5 21%
Student > Doctoral Student 3 13%
Student > Master 3 13%
Other 1 4%
Other 4 17%
Unknown 3 13%
Readers by discipline Count As %
Psychology 5 21%
Medicine and Dentistry 5 21%
Pharmacology, Toxicology and Pharmaceutical Science 2 8%
Business, Management and Accounting 2 8%
Economics, Econometrics and Finance 1 4%
Other 3 13%
Unknown 6 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 February 2017.
All research outputs
#11,778,611
of 15,442,255 outputs
Outputs from Health and Quality of Life Outcomes
#1,048
of 1,660 outputs
Outputs of similar age
#179,625
of 261,752 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#1
of 1 outputs
Altmetric has tracked 15,442,255 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,660 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 261,752 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them