Behavioural and cognitive-behavioural interventions for outwardly-directed aggressive behaviour in people with learning disabilities
Bibliographic record
Abstract
BACKGROUND: Outwardly directed aggressive behaviour is a significant part of problem behaviours presented by people with learning disabilities. Prevalence rates between 3.3% to 36% have been reported in the literature. Such behaviours run a long term course and are a major cause of social exclusion OBJECTIVES: To determine the efficacy of behavioural and cognitive behavioural interventions for outwardly-directed aggressive behaviour for people with learning disabilities. SEARCH STRATEGY: The Cochrane Library (CENTRAL), MEDLINE, EMBASE, CINAHL, ERIC and PsycINFO were searched using a strategy combining (Learning or synonyms) and (Disabilities or synonyms) and (Behaviour or synonyms) and (treatment or synonyms) to late 2002. Where appropriate, research filters were used. SELECTION CRITERIA: Studies were selected if more than 4 participants, children or adults, were allocated by random or quasi-random methods to either intervention or standard treatment/wait list. DATA COLLECTION AND ANALYSIS: References identified by electronic searches, examinations of bibliography and personal contacts were screened against inclusion criteria by two independent reviewers. MAIN RESULTS: Three studies based on adult populations with learning disabilities were deemed to be suitable for inclusion but data were only available in a form suitable for meta-analysis in two studies. Direct interventions based on cognitive-behavioural methods (modified relaxation, assertiveness training with problem solving, and anger management) appear to have some impact on reduction of aggressive behaviour at the end of treatment but not at follow up (up to six months) as rated by individuals and their carers. REVIEWERS' CONCLUSIONS: The existing evidence on the efficacy of cognitive behavioural and behavioural interventions on outwards directed aggression in children and adults with ID is scant. There is a paucity of methodologically sound clinical trials. Given the impact of such behaviours on the affected individual, his or her carers and on service providers, effective interventions are essential. It is also important to investigate cost efficacy of treatment models against existing treatments. We recommend that randomised controlled trials of sufficient power are carried out using primary outcomes of reduction in outward directed aggression, improvement in quality of life and cost efficacy as measured by standardised scales.
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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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".