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Using Item Response Theory to Identify Responders to Treatment: Examples with the Patient-Reported Outcomes Measurement Information System (PROMIS®) Physical Function Scale and Emotional Distress Composite

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Listed:
  • Ron D. Hays

    (UCLA)

  • Karen L. Spritzer

    (UCLA)

  • Steven P. Reise

    (UCLA)

Abstract

The reliable change index has been used to evaluate the significance of individual change in health-related quality of life. We estimate reliable change for two measures (physical function and emotional distress) in the Patient-Reported Outcomes Measurement Information System (PROMIS®) 29-item health-related quality of life measure (PROMIS-29 v2.1). Using two waves of data collected 3 months apart in a longitudinal observational study of chronic low back pain and chronic neck pain patients receiving chiropractic care, and simulations, we compare estimates of reliable change from classical test theory fixed standard errors with item response theory standard errors from the graded response model. We find that unless true change in the PROMIS physical function and emotional distress scales is substantial, classical test theory estimates of significant individual change are much more optimistic than estimates of change based on item response theory.

Suggested Citation

  • Ron D. Hays & Karen L. Spritzer & Steven P. Reise, 2021. "Using Item Response Theory to Identify Responders to Treatment: Examples with the Patient-Reported Outcomes Measurement Information System (PROMIS®) Physical Function Scale and Emotional Distress Comp," Psychometrika, Springer;The Psychometric Society, vol. 86(3), pages 781-792, September.
    • Handle: RePEc:spr:psycho:v:86:y:2021:i:3:d:10.1007_s11336-021-09774-1
    DOI: 10.1007/s11336-021-09774-1
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    References listed on IDEAS

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    1. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    2. Ron D Hays & John D Peipert, 2018. "Minimally Important Differences Do Not Identify Responders to Treatment," JOJ Sciences, Juniper Publishers Inc., vol. 1(1), pages 4-5, April.
    3. Chalmers, R. Philip, 2012. "mirt: A Multidimensional Item Response Theory Package for the R Environment," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i06).
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    Cited by:

    1. Alberto Maydeu-Olivares, 2021. "Assessing the Accuracy of Errors of Measurement. Implications for Assessing Reliable Change in Clinical settings," Psychometrika, Springer;The Psychometric Society, vol. 86(3), pages 793-799, September.
    2. Bryce B. Reeve & Ron D. Hays, 2021. "Guest Editors’ Introduction to the Invited Special Section," Psychometrika, Springer;The Psychometric Society, vol. 86(3), pages 671-673, September.
    3. McAleavey, Andrew Athan, 2021. "When (Not) to Rely on the Reliable Change Index," OSF Preprints 3kthg, Center for Open Science.

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