A meta-analysis of psychodynamic psychotherapy outcomes: Evaluating the effects of research-specific procedures.
Bibliographic record
Abstract
The aim of this research was to examine the extent to which the use of research-specific procedures in psychodynamic psychotherapy impacts upon treatment effectiveness and which variables moderate this potential relationship. Effects of audio/video recording of sessions, use of treatment manuals, and checks of treatment fidelity were examined. A meta-analysis was conducted on randomized controlled trials of psychodynamic psychotherapy. Forty-six independent treatment samples totaling 1615 patients were included. The magnitude of change between pretreatment and posttreatment aggregated across all studies (45 treatment samples) for overall outcome was large (d = 1.01), and further improvement was observed between posttreatment and an average 12.8-month follow-up (d = 0.18). Subgroup analyses comparing studies that used research-specific procedures and those that did not revealed that for posttreatment data no differences in treatment effects were found. However, the use of treatment manuals and fidelity checks were significantly associated with improvement between the end of treatment and follow-up assessment. Within the limitations of analyses, this data offered preliminary evidence that use of research-specific procedures does not contribute in a negative manner to posttreatment outcomes in psychodynamic psychotherapy, and their use contributes to positive differences that emerge with time. These findings, although observational in nature, make a case for reconsidering how dimensions of clinical utility and experimental control may be integrated in psychodynamic psychotherapy to enable further elucidation of principles that evidently work.
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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 | 0.054 | 0.118 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.039 |
| Bibliometrics | 0.011 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".