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The problem of measurement error in multisite clinical trials
M A Demitrack1, D Faries, J M Herrera
1Lilly Research Laboratories, Lilly Corporate Center, Indianapolis, IN. 46285, USA.
Psychopharmacology Bulletin
|May 2, 1998
Summary
High interrater variability in the Hamilton Depression Rating Scale can compromise clinical trial results. Intensive training sessions highlighted significant measurement error, potentially impacting the detection of treatment effects in psychopharmacologic studies.
Area of Science:
- Clinical Psychopharmacology
- Psychometric Measurement
- Clinical Trial Methodology
Background:
- Multisite randomized clinical trials require significant participant commitment and resources.
- Methodological challenges, particularly measurement error, can lead to uninterpretable results in complex trials.
- Addressing these challenges is crucial for advancing industry-sponsored psychopharmacologic drug development.
Purpose of the Study:
- To describe the outcome of interrater reliability training for the Hamilton Depression Rating Scale (HDRS).
- To assess the magnitude of measurement error in a multisite clinical trial setting.
- To provide preliminary evidence on the impact of measurement error on detecting clinical change.
Main Methods:
- Conducted intensive interrater reliability training sessions for the 17-item Hamilton Depression Rating Scale.
- Training occurred at the commencement of a Phase II multisite clinical drug trial.
- Data were collected to evaluate the consistency of HDRS ratings among different raters.
Main Results:
- The training sessions underscored a substantial degree of error in HDRS ratings within the trial setting.
- Preliminary data suggest that this measurement error may significantly affect the ability to detect clinical changes.
- Variability in rating can obscure true treatment effects.
Conclusions:
- Interrater reliability is a critical factor in the validity of psychopharmacologic clinical trials.
- Intensive, ongoing rater training is essential to minimize measurement error.
- Failure to address measurement error can jeopardize the interpretability and success of clinical trials.