Adventure Therapy and Routine Outcome Monitoring of Treatment: The Time Is Now
Bibliographic record
Abstract
Background: Routine outcome monitoring (ROM) was popularized in the mid-1990s to improve client outcomes in psychotherapy, though implementation in clinical practice has been slow. Although increased outcome research in adventure therapy (AT) in the last decade has demonstrated AT as a viable treatment option, recent reviews have found worrying trends regarding research methodology and poorly substantiated claims of superiority. Purpose: The purpose of this article is to explore the potential for ROM in AT. Methodology/Approach: We conducted a brief review of the literature on ROM and offered a discussion that positions principles of ROM with the nascent knowledge base of AT. Findings/Conclusions: We propose ROM is a viable next step in AT research and practice. ROM can explore when change is likely to occur during an AT program and provide a platform for improving client engagement and outcomes. Implications: We recommend implementation of ROM in AT and that future AT research explore therapist effects and important therapeutic factors, such as the therapeutic alliance and deterioration.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.068 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".