Specific and general therapeutic mechanisms in cognitive behavioral treatment of chronic pain.
Bibliographic record
Abstract
OBJECTIVE: Many studies document efficacy of cognitive behavioral therapy (CBT) for chronic pain, but few studies have examined potential treatment mechanisms. In analyses of data from a controlled trial, we examined whether changes in attitudes toward adopting a pain self-management approach-CBT-specific mechanisms-and quality of working alliance and patient expectations-general mechanisms-early in treatment were related to later-treatment changes in outcomes. METHOD: Our sample was composed of 94 adults (primarily White; mean age: 55.3 years, SD = 11.7; 23% female) who participated in enhanced or standard CBT, and completed measures of attitudes toward self-management (mechanisms), pain intensity, pain interference, depressive symptoms and goal accomplishment (outcomes) at pretreatment, 4- and 8-week assessments, and posttreatment. Working alliance was measured at 4 and 8 weeks, and patient expectations at 3 weeks. RESULTS: Because the CBT conditions produced comparable improvements, we combined them. Precontemplation and action attitudes toward pain self-management showed significant quadratic trends over assessments such that 67% and 94.1% (respectively) of total pre-post changes occurred in the first 4 weeks. Outcomes showed only significant linear trends. Cross-lagged regressions revealed that pretreatment-to-4-week changes in action attitudes and 4-week levels of working alliance were related significantly with 4-week-to-posttreatment changes in pain intensity and interference but not vice versa and that 3-week patient expectations were related to 4-week-to-posttreatment changes in interference. Analyses in which mechanism factors were entered simultaneously revealed nonsignificant unique effects on outcomes. CONCLUSIONS: Adopting an action attitude early in treatment may represent a specific CBT mechanism but with effects held largely in common with 2 general mechanisms.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".