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Mapping Patient-Reported Outcomes Measurement Information System Pediatric-25 Profile to EQ-5D-Y-3L.

Renee Jones1, Christine Mpundu-Kaambwa2, Nancy Devlin2

  • 1Melbourne Health Economics, University of Melbourne, Victoria, Australia; Health Services and Economics, Murdoch Children's Research Institute, Victoria, Australia.

Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research
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Summary

New mapping algorithms allow Patient-Reported Outcomes Measurement Information System Pediatric Profile 25 (PROMIS-25) data to be converted to EQ-5D-Y-3L utilities. This enhances PROMIS-25 usability for economic evaluations.

Keywords:
EQ-5D-Y-3LPROMIS-25health state utilityhealth-related quality of lifemapping

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Area of Science:

  • Health Economics
  • Psychometrics
  • Pediatric Health Outcomes

Background:

  • Patient-reported outcome measures (PROMs) are crucial for assessing health status in pediatric populations.
  • The Patient-Reported Outcomes Measurement Information System Pediatric Profile 25 (PROMIS-25) is a comprehensive PROM.
  • The EQ-5D-Y-3L is a widely used preference-based measure for health utility estimation.

Purpose of the Study:

  • To develop and validate mapping algorithms to translate PROMIS-25 scores into EQ-5D-Y-3L responses and utilities.
  • To enable the use of PROMIS-25 data in economic evaluations by generating comparable health utility values.

Main Methods:

  • Utilized a dataset of 1,830 Australian children (aged 5-18) who completed both PROMIS-25 and EQ-5D-Y-3L.
  • Employed both direct and indirect mapping approaches using various regression models.
  • Selected optimal models via five-fold cross-validation based on RMSE, MAE, and CCC.

Main Results:

  • The generalized logit (GLOGIT) model optimally predicted EQ-5D-Y-3L responses using PROMIS-25 domain scores (RMSE=0.1098).
  • The Tobit model optimally predicted Australian EQ-5D-Y-3L utilities using PROMIS-25 item scores (RMSE=0.0994).
  • Both models demonstrated similar performance with Dutch utility values.

Conclusions:

  • Developed robust mapping algorithms for converting PROMIS-25 data to EQ-5D-Y-3L utilities and responses.
  • Facilitates the application of local value sets for EQ-5D-Y-3L, broadening PROMIS-25 utility.
  • Enhances the value of PROMIS-25 data for economic evaluations in pediatric populations.