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Updated: Dec 15, 2025
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A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
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Patient- versus physician-reported relapses in multiple sclerosis: insights from a large observational study
D Schriefer1, R Haase1, B Ettle2
1Centre of Clinical Neuroscience, Neurological University Clinic Dresden, Dresden, Germany.
European Journal of Neurology
|July 10, 2020
Summary
Patients reported more multiple sclerosis relapses than physicians, though overall agreement was good. Discrepancies were notable in subgroups with higher disability or lower quality of life, impacting clinical trial data.
Area of Science:
- Neurology
- Clinical Research
- Patient-Reported Outcomes
Background:
- Patient perspective is crucial for multiple sclerosis (MS) outcome measures.
- Data comparing patient-reported relapses with physician documentation in routine clinical practice are limited.
Purpose of the Study:
- To compare patient-reported relapses with physician-documented relapses in a real-world MS clinical setting.
- To evaluate agreement, reliability, and validity between patient and physician relapse reporting.
Main Methods:
- Analysis of two-year data from 1921 patients in prospective, non-interventional German cohort studies.
- Independent reporting of relapses by patients and physicians was compared.
- Inter-rater reliability and validity measures were assessed, including subgroup analyses.
Main Results:
- Good overall agreement between patients and physicians (κ = 0.78).
- Patients reported significantly more relapses than physicians (0.55 vs. 0.44, P < 0.001).
- Discrepancies were greater in patients with higher disability, lower quality of life, or less treatment satisfaction.
Conclusions:
- While overall agreement is good, patient and physician relapse reporting in multiple sclerosis shows specific subgroup differences.
- Factors like pseudo-relapses may influence reporting discrepancies.
- Understanding these differences is key for accurate clinical trial endpoints and patient management.
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