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Published on: September 11, 2021
Development and validation of an interpretive guide for PROMIS scores
Nan E Rothrock1, Dagmar Amtmann2, Karon F Cook3
1Department of Medical Social Sciences, Feinberg School of Medicine of Northwestern University, 625 N. Michigan Ave Suite 2700, Chicago, IL, 60660, USA. n-rothrock@northwestern.edu.
T-score Maps were created to help interpret scores from Patient-Reported Outcome Measurement Information System (PROMIS) measures. These maps accurately predict patient responses, validating their use as clinical interpretation aids.
Area of Science:
- Health Informatics
- Medical Statistics
- Patient-Reported Outcomes
Background:
- Accurate interpretation of patient-reported outcome measures (PROMs) is crucial for effective clinical practice.
- The Patient-Reported Outcome Measurement Information System (PROMIS) offers valuable PROMs, but score interpretation can be challenging.
Purpose of the Study:
- To develop and validate graphical tools, termed T-score Maps, for simplifying the interpretation of PROMIS measure scores.
- To enhance the clinical utility of PROMIS measures through improved score interpretability.
Main Methods:
- Item-level data from 21 PROMIS short forms were used to predict item responses across the score range.
- These predicted responses were graphically mapped to create T-score Maps.
- The accuracy of T-score Maps was evaluated by comparing predicted responses to observed responses in a longitudinal study of 1594 adults with chronic conditions.
Main Results:
- T-score Maps were successfully constructed for 21 PROMIS short forms, covering adult and pediatric populations.
- Observed participant responses strongly correlated with predicted responses (r = 0.762 to 0.950).
- T-score Maps demonstrated high accuracy, with predicted responses matching observed responses between 69.5% and 85.3% of the time.
Conclusions:
- The findings support the validity of the predicted responses used in constructing T-score Maps.
- T-score Maps are a promising tool for aiding score interpretation and can be tested in various clinical applications.
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