Apples Don't Fall Far From the Tree: Influences on Psychotherapists' Adoption and Sustained Use of New Therapies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of this investigation was to identify influences on the current clinical practices of a broad range of mental health providers as well as influences on their adoption and sustained use of new practices.U.S. and Canadian psychotherapists (N=2,607) completed a Web-based survey in which they rated factors that influence their clinical practice, including their adoption and sustained use of new treatments.Empirical evidence had little influence on the practice of mental health providers. Significant mentors, books, training in graduate school, and informal discussions with colleagues were the most highly endorsed influences on current practice. The greatest influences on psychotherapists' willingness to learn a new treatment were its potential for integration with the therapy they were already providing and its endorsement by therapists they respected. Clinicians were more often willing to continue to use a new treatment when they were able to effectively and enjoyably conduct the therapy and when their clients liked the therapy and reported improvement.Implications for dissemination and sustained use of new psychotherapies by community psychotherapists are discussed. For example, evidence-based treatments may best be promoted through therapy courses and workshops, beginning with graduate studies; to ensure future use of new therapies, developers of training workshops should emphasize ways to integrate their approaches into clinicians' existing practices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it