Mapping the Peds QL TM 4.0 onto CHU-9D: a cross-sectional study in functional dyspepsia population from China.

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  • Author(s): Wang Q;Wang Q; Wan C; Wan C; Li M; Li M; Huang Y; Huang Y; Xi X; Xi X
  • Source:
    Frontiers in public health [Front Public Health] 2023 May 31; Vol. 11, pp. 1166760. Date of Electronic Publication: 2023 May 31 (Print Publication: 2023).
  • Publication Type:
    Journal Article
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE
    • Publication Information:
      Original Publication: Lausanne : Frontiers Editorial Office
    • Subject Terms:
    • Abstract:
      Objective: The study aims to develop a mapping algorithm from the Pediatric Quality of Life Inventory™ 4. 0 (Peds QL 4.0) onto Child Health Utility 9D (CHU-9D) based on the cross-sectional data of functional dyspepsia (FD) children and adolescents in China.
      Methods: A sample of 2,152 patients with FD completed both the CHU-9D and Peds QL 4.0 instruments. A total of six regression models were used to develop the mapping algorithm, including ordinary least squares regression (OLS), the generalized linear regression model (GLM), MM-estimator model (MM), Tobit regression (Tobit) and Beta regression (Beta) for direct mapping, and multinomial logistic regression (MLOGIT) for response mapping. Peds QL 4.0 total score, Peds QL 4.0 dimension scores, Peds QL 4.0 item scores, gender, and age were used as independent variables according to the Spearman correlation coefficient. The ranking of indicators, including the mean absolute error (MAE), root mean squared error (RMSE), adjusted R 2 , and consistent correlation coefficient (CCC), was used to assess the predictive ability of the models.
      Results: The Tobit model with selected Peds QL 4.0 item scores, gender and age as the independent variable predicted the most accurate. The best-performing models for other possible combinations of variables were also shown.
      Conclusion: The mapping algorithm helps to transform Peds QL 4.0 data into health utility value. It is valuable for conducting health technology evaluations within clinical studies that have only collected Peds QL 4.0 data.
      Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
      (Copyright © 2023 Wang, Wan, Li, Huang and Xi.)
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    • Contributed Indexing:
      Keywords: CHU-9D; Peds QL 4.0; functional dyspepsia; health utility value; mapping
    • Publication Date:
      Date Created: 20230616 Date Completed: 20230619 Latest Revision: 20230619
    • Publication Date:
      20231215
    • Accession Number:
      PMC10266104
    • Accession Number:
      10.3389/fpubh.2023.1166760
    • Accession Number:
      37325313