Existential therapy for treating chronic pain: A scoping review
Bibliographic record
Abstract
Integrating an existential lens into chronic pain treatment enables a holistic and biopsychosocial approach to treating chronic pain. This scoping review aimed to identify the characteristics, themes, and results of existential therapy for treating chronic pain. We searched seven databases for empirical papers that described an existentially based intervention for a chronic pain sample. Conducted in May 2023, the search terms were related to chronic pain and truncated versions of existential and humanistic therapies. Six articles met the criteria and were included. Quantitative and qualitative studies were included, ranging from randomized controlled trials, non-randomized experiments, a case report, and a case study. Extracted data included study characteristics and common intervention themes (e.g., meaningfulness, self-identity, etc.) and outcome themes (e.g., pain-related, life satisfaction, etc.). All studies reported a reduction in pain symptoms or severity. Physical functioning was generally not influenced by existential therapy; however, it did improve with or in combination with cognitive-behavioral therapy (CBT). Meaningfulness was a common theme in all the interventions, and most articles reported increased meaningfulness in the outcomes. Spirituality seems to moderate the effectiveness of existential therapy. This offers an overview of the current state of knowledge of academically labeled existential therapies for chronic pain treatment. This further provides suggestions for advancing the study of this topic by highlighting both commonalities and inconsistencies in intervention findings.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".