| Title |
German Value Set for the EQ-5D-5L
|
|---|---|
| Published in |
PharmacoEconomics, February 2018
|
| DOI | 10.1007/s40273-018-0615-8 |
| Pubmed ID | |
| Authors |
Kristina Ludwig, J.-Matthias Graf von der Schulenburg, Wolfgang Greiner |
| Abstract |
The objective of this study was to develop a value set for EQ-5D-5L based on the societal preferences of the German population. As the first country to do so, the study design used the improved EQ-5D-5L valuation protocol 2.0 developed by the EuroQol Group, including a feedback module as internal validation and a quality control process that was missing in the first wave of EQ-5D-5L valuation studies. A representative sample of the general German population (n = 1158) was interviewed using a composite time trade-off and a discrete choice experiment under close quality control. Econometric modeling was used to estimate values for all 3125 possible health states described by EQ-5D-5L. The value set was based on a hybrid model including all available information from the composite time trade-off and discrete choice experiment valuations without any exclusions due to data issues. The final German value set was constructed from a combination of a conditional logit model for the discrete choice experiment data and a censored at -1 Tobit model for the composite time trade-off data, correcting for heteroskedasticity. The value set had logically consistent parameter estimates (p < 0.001 for all coefficients). The predicted EQ-5D-5L index values ranged from -0.661 to 1. This study provided values for the health states of the German version of EQ-5D-5L representing the preferences of the German population. The study successfully employed for the first time worldwide the improved protocol 2.0. The value set enables the use of the EQ-5D-5L instrument in economic evaluations and in clinical studies. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 3 | 50% |
| Australia | 1 | 17% |
| Spain | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Science communicators (journalists, bloggers, editors) | 2 | 33% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 162 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 19% |
| Student > Ph. D. Student | 22 | 14% |
| Student > Doctoral Student | 16 | 10% |
| Student > Master | 12 | 7% |
| Student > Bachelor | 8 | 5% |
| Other | 20 | 12% |
| Unknown | 54 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 37 | 23% |
| Economics, Econometrics and Finance | 12 | 7% |
| Psychology | 9 | 6% |
| Nursing and Health Professions | 5 | 3% |
| Business, Management and Accounting | 5 | 3% |
| Other | 30 | 19% |
| Unknown | 64 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 30 June 2021.
All research outputs
#5,262,835
of 24,761,242 outputs
Outputs from PharmacoEconomics
#556
of 1,967 outputs
Outputs of similar age
#95,252
of 336,038 outputs
Outputs of similar age from PharmacoEconomics
#12
of 39 outputs
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We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.