Effect of Health State Sampling Methods on Model Predictions of EQ-5D-5L Values: Small Designs Can Suffice.
Objective: The current five-level EQ-5D (EQ-5D-5L) valuation protocol requires the valuation of 86 states. It has been demonstrated that the selection of empirically valued health states affects the extrapolated values in three-level EQ-5D (EQ-3D-3L). In this investigation, we aim to compare the per...
| Published in: | Value in Health Vol. 22; no. 1; pp. 38 - 45 |
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| Main Authors: | , , , , |
| Format: | research Journal Article |
| Published: |
Elsevier B.V.
Jan2019
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=134185376&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 134185376 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10983015 FSN jtl: Value in Health issn: 10983015 maglogo: N pubinfo: dt: Jan2019 vid: 22 iid: 1 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 134185376 134185376 NLM30661632 134185376 10.1016/j.jval.2018.06.015 NLM30661632 134185376 ppf: 38 ppct: 7 formats: tig: atl: Effect of Health State Sampling Methods on Model Predictions of EQ-5D-5L Values: Small Designs Can Suffice. aug: au: Yang, Zhihao Luo, Nan Bonsel, Gouke Busschbach, Jan Stolk, Elly affil: Erasmus University Rotterdam, Rotterdam, The Netherlands sug: subj: Quality of Life Health Status Indicators Mental Health Anxiety Diagnosis Symptoms Self Care Human Pain Measurement Surveys Probability Sample Anxiety Psychosocial Factors Depression Psychosocial Factors Predictive Value of Tests Reproducibility of Results Pain Psychosocial Factors Pain Diagnosis Sample Size Activities of Daily Living Depression Diagnosis Colleges and Universities Students Validation Studies Comparative Studies Evaluation Research Multicenter Studies ab: Objective: The current five-level EQ-5D (EQ-5D-5L) valuation protocol requires the valuation of 86 states. It has been demonstrated that the selection of empirically valued health states affects the extrapolated values in three-level EQ-5D (EQ-3D-3L). In this investigation, we aim to compare the performance of the current EQ-5D-5L valuation design with other designs.Study Design: 1603 university students participated in a valuation study using a visual analog scale (VAS) to produce values for all EQ-5D-5L states. Different designs were generated to test their prediction accuracy.Methods: Subsamples of the dataset were used to mimic data obtained from a particular design; the remaining dataset was used as the validation set. In addition to EuroQol Group Valuation Technology (EQ-VT) design, alternative subsamples and designs were created using random, orthogonal, and "optimizing D-efficiency" sampling methods. The root mean squared error (RMSE) was used as the measure of prediction accuracy.Results: The EuroQol Group Valuation Technology (EQ-VT) design showed an average RMSE of 3.44 on EQ-VAS, for all 3125 health states combined. Notably, a 25-state orthogonal design performed similarly to the EQ-VT design, with a smaller RMSE of 3.40, and was thus the most efficient design. One caveat with respect to the orthogonal design was that it did not predict the mild states well.Conclusions: Our study supports the EQ-VT design. Smaller designs were identified with similar overall prediction accuracy. It is worth investigating whether issues with misprediction of mild states can be resolved, as the use of smaller size designs would reduce the cost of the valuation of EQ-5D-5L considerably. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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