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Idio Scale Judgment: evaluation of a new method for estimating responder thresholds.
Karon F Cook1,2, Michael A Kallen3, Cheryl D Coon4
1Northwestern University, Chicago, IL, USA. karon.cook@northwestern.edu.
Summary
The Idio Scale Judgment method effectively estimates patient-meaningful change thresholds for multiple sclerosis (MS) fatigue. This new tool shows promise for assessing clinically significant improvements and worsening in patient-reported outcomes.
Area of Science:
- Health Outcomes Research
- Patient-Reported Outcomes
- Neurology
Background:
- Assessing meaningful change in patient-reported outcomes is crucial for evaluating treatment effectiveness in neurological conditions.
- Existing methods may not adequately capture the individual patient's perspective on what constitutes a significant change in symptoms like fatigue.
Purpose of the Study:
- To pilot the novel Idio Scale Judgment method for estimating patient-defined change thresholds in fatigue for individuals with multiple sclerosis (MS).
Main Methods:
- An online survey of 500 MS patients assessed fatigue using the Neuro-QoL fatigue scale.
- Participants compared their own fatigue levels to presented scenarios (short form summaries) and judged them as representing the same, greater, or lesser fatigue.
- Distances between patient-reported fatigue and endorsed scenarios were used to estimate individual change thresholds.
Main Results:
- Mean individual change thresholds were calculated as -3.5 for improvement and 3.2 for worsening.
- The majority of participants (69%) provided logically consistent judgments.
- Inconsistent judgments showed weak associations with age, gender, and MS type, and moderate association with confidence ratings.
Conclusions:
- The Idio Scale Judgment method demonstrated strengths in contextualizing judgments within personally relevant consequences.
- The method is suitable for large-scale data collection, allowing for evaluation of judgment variability.
- Idio Scale Judgment shows significant promise as a new tool for estimating meaningful change thresholds in patient-reported outcomes.

