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Strategies for assessing pain and pain exaggeration: controlled studies
H A Smythe1, A Gladman, R Mader
1University of Toronto Rheumatic Disease Unit, Canada.
The Journal of Rheumatology
|August 1, 1997
Summary
Structured pain behavior assessments significantly improved the detection of exaggerated pain responses in patients. This method enhances diagnostic accuracy for conditions like fibromyalgia, distinguishing genuine symptoms from feigned ones.
Area of Science:
- Rheumatology
- Pain Medicine
- Clinical Psychology
Background:
- Distinguishing genuine pain from exaggerated pain is crucial for accurate diagnosis and treatment in rheumatology.
- Current methods for assessing pain behavior may lack the sensitivity to detect subtle deception.
Purpose of the Study:
- To compare structured versus intuitive methods for detecting exaggerated pain behavior in two randomized studies.
- To evaluate the properties of relative tenderness measures as surrogates for pain assessment.
Main Methods:
- Experienced rheumatologists assessed pain and behavior in subjects instructed to either respond honestly or feign exaggerated tenderness.
- Study 1 used descriptive assessments, while Study 2 employed a prestructured format for behavior assessment.
- An algorithm was developed to analyze recorded data and compare it with examiner performance in detecting deception (Acting).
Main Results:
- Exaggerating pain allowed nontender patients to meet formal American College of Rheumatology (ACR) criteria for fibromyalgia.
- The structured pain behavior assessment in Study 2 improved sensitivity in detecting deception from 60% to 90% (p = 0.0003).
- Specificity remained high in both studies, with false positive diagnoses of deception being uncommon (85-86%).
Conclusions:
- Formal, numerical techniques are necessary for accurately assessing chronic pain.
- These methods can feasibly separate the structural and psychogenic components of chronic pain.
- Structured assessments enhance the reliability of pain behavior evaluation in clinical settings.