Can cognitive remediation therapy be delivered remotely? A review examining feasibility and acceptability of remote interventions
Bibliographic record
Abstract
Cognitive remediation (CR) is an effective treatment for schizophrenia. However, issues such as motivational impairments, geographic limitations, and limited availability of specialized clinicians to deliver CR, can impede dissemination. Remote delivery of CR provides an opportunity to implement CR on a broader scale. While empirical support for the efficacy of in-person CR is robust, the evidence-base for virtual delivery of CR is limited. Thus, in this review we aimed to evaluate the feasibility and acceptability of remote CR interventions. Nine (n = 847) fully remote and one hybrid CR intervention were included in this review. Attrition rates for remote CR were generally high compared to control groups. Acceptability rates for remote CR interventions were high and responses from caregivers were positive. Further research using more methodologically rigorous designs is required to evaluate appropriate adaptations for remote treatment and determine which populations may benefit more from remote CR.
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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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 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".