Mapping PedsQL™ Generic Core Scales to EQ-5D-3L utility scores in transfusion-dependent thalassemia patients
Asrul Akmal Shafie (),
Irwinder Kaur Chhabra (),
Jacqueline Hui Yi Wong () and
Noor Syahireen Mohammed ()
Additional contact information
Asrul Akmal Shafie: Universiti Sains Malaysia
Irwinder Kaur Chhabra: Universiti Sains Malaysia
Jacqueline Hui Yi Wong: Universiti Sains Malaysia
Noor Syahireen Mohammed: Universiti Sains Malaysia
The European Journal of Health Economics, 2021, vol. 22, issue 5, No 7, 735-747
Abstract Purpose To develop a mapping algorithm for generating EQ-5D-3L utility scores from the PedsQL Generic Core Scales (PedsQL GCS) in patients with transfusion-dependent thalassemia (TDT). Methods The algorithm was developed using data from 345 TDT patients. Spearman’s rank correlation was used to evaluate the conceptual overlap between the instruments. Model specifications were chosen using a stepwise regression. Both direct and response mapping methods were attempted. Six mapping estimation methods ordinary least squares (OLS), a log-transformed response using OLS, generalized linear model (GLM), two-part model (TPM), Tobit and multinomial logistic regression (MLOGIT) were tested to determine the root mean squared error (RMSE) and mean absolute error (MAE). Other criterion used were accuracy of the predicted utility score, proportions of absolute differences that was less than 0.03 and intraclass correlation coefficient. An in-sample, leave-one-out cross validation was conducted to test the generalizability of each model. Results The best performing model was specified with three out of the four PedsQL GCS scales—the physical, emotional and social functioning score. The best performing estimation method for direct mapping was a GLM with a RMSE of 0.1273 and MAE of 0.1016, while the best estimation method for response mapping was the MLOGIT with a RMSE of 0.1597 and MAE of 0.0826. Conclusion The mapping algorithm developed using the GLM would facilitate the calculation of utility scores to inform economic evaluations for TDT patients when EQ-5D data is not available. However, caution should be exercised when using this algorithm in patients who have poor quality of life.
Keywords: Mapping algorithm; PedsQL; EQ-5D-3L; Utility scores; Quality of life; Thalassemia (search for similar items in EconPapers)
JEL-codes: I1 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://link.springer.com/10.1007/s10198-021-01287-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:spr:eujhec:v:22:y:2021:i:5:d:10.1007_s10198-021-01287-z
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10198/PS2
Access Statistics for this article
The European Journal of Health Economics is currently edited by J.-M.G.v.d. Schulenburg
More articles in The European Journal of Health Economics from Springer, Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().