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Methodology for determining minimally clinically important differences in acute pain intensity with the double
Christopher J Miller1, John T Farrar1
1Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
The Journal of Pain
|December 17, 2024
Summary
We developed a new method to determine minimum clinically important differences (MCIDs) for acute pain using the double stopwatch technique. This approach accurately measures meaningful pain relief for individuals, improving clinical trial analysis.
Area of Science:
- Pain research
- Clinical trial methodology
- Quantitative psychology
Background:
- Minimum clinically important differences (MCIDs) for acute pain intensity lack robust establishment.
- Conventional MCID estimation relies on potentially inaccurate anchor-based reference scales.
- The double stopwatch technique is the gold standard for measuring time to meaningful pain relief but presents data censoring challenges.
Purpose of the Study:
- To propose and validate a novel stopwatch-based methodology for determining MCIDs in acute pain.
- To address the limitations of conventional methods by incorporating individualized, time-to-event data.
- To provide a more accurate and less biased approach for assessing meaningful pain changes in clinical research.
Main Methods:
- Utilized the double stopwatch technique to capture individualized meaningful pain relief.
- Developed a stopwatch-based MCID methodology to classify pain changes based on participant perception and study cut-offs.
- Employed cluster bootstrapping for variance estimates to assess the performance (sensitivity, specificity) of different thresholds.
- Incorporated data from participants who did not achieve meaningful relief to handle censoring and mitigate bias.
Main Results:
- The proposed methodology enables direct classification of meaningful pain changes for each participant.
- It effectively incorporates censored data, avoiding bias inherent in standard methods.
- Performance metrics like sensitivity and specificity can be reliably estimated for various MCID thresholds.
- Demonstrated the advantages of the stopwatch-based approach using data from a third molar extraction trial.
Conclusions:
- The stopwatch-based MCID methodology offers a significant advancement over conventional approaches for acute pain.
- This technique provides a reliable basis for evaluating the meaningfulness of pain relief in clinical trials.
- It is adaptable for establishing MCIDs across diverse acute pain settings, enhancing clinical relevance.
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