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Expected a posteriori scoring in PROMIS®.

Robert Chapman1

  • 1Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, 625 North Michigan Avenue, Chicago, IL, 60601, USA. Robert.Chapman@northwestern.edu.

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|June 3, 2022
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Summary

Expected A Posteriori (EAP) scoring enhances the Patient-Reported Outcome Measurement Information System (PROMIS) by providing accurate health-related quality of life scores. This work clarifies EAP methods for wider accessibility and application.

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Area of Science:

  • Psychometrics
  • Health Outcomes Research
  • Statistical Modeling

Background:

  • Patient-Reported Outcome Measurement Information System (PROMIS) aims to measure health-related quality of life using patient input.
  • PROMIS development, validation, and implementation rely on Item Response Theory (IRT) methods.
  • PROMIS typically employs Expected A Posteriori (EAP) estimation for score calculation.

Purpose of the Study:

  • To enhance transparency and accessibility of EAP scoring methods for a broader audience.
  • To provide a clear description, graphical demonstrations, and practical examples of EAP scoring.
  • To discuss further applications and considerations of EAP scoring within the PROMIS framework.

Main Methods:

  • Detailed description and graphical illustration of EAP scoring principles.
  • Application of EAP scoring methods using statistical software.
  • Utilization of the R Markdown framework for reproducible research and code sharing.

Main Results:

  • Demonstration of EAP scoring flexibility and accuracy.
  • Provision of commented statistical code for EAP score calculation.
  • Accessible explanation of EAP scoring for PROMIS users.

Conclusions:

  • This work summarizes and visualizes the operation of EAP scoring as implemented in PROMIS.
  • The provided resources aim to increase the accessibility of psychometric methods for the PROMIS user base.
  • Understanding EAP scoring is crucial as PROMIS adoption continues to grow.