Does it work in the real world? The effectiveness of treatments for psychological problems in children and adolescents.
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
Despite the availability of hundreds of treatment studies in the scientific literature, we know little about whether these treatments work in regular practice. We present an updated review of treatment effectiveness studies for psychological problems in children and adolescents. A literature search yielded 20 recent articles describing effectiveness studies for the treatment of anxiety disorders, depression, and disruptive behavior problems. We compared data from these effectiveness studies with two benchmarks reported in meta-analyses of efficacy trials: the numbers of clients who completed services and the improvements found in those who completed services. All studies of the treatment of internalizing disorders reported completion rates above 80%; the majority of parenting interventions for the treatment of disruptive behavior problems reported that more than 75% of parents who began services completed them. The improvement rates reported in effectiveness studies for internalizing problems were comparable to the benchmarks reported in efficacy studies. There was greater variability in the treatment of disruptive behavior problems, with several studies outperforming the benchmark, and a smaller number yielding poorer results. Practitioners should be encouraged to see promising results that suggest evidence-based treatments for child and adolescent disorders can be effective when used in typical clinical settings.
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 | 0.006 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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