Behavioural and cognitive-behavioural interventions for outwardly directed aggressive behaviour in people with intellectual disabilities
Bibliographic record
Abstract
BACKGROUND: Outwardly directed aggressive behaviour in people with intellectual disabilities is a significant issue that may lead to poor quality of life, social exclusion and inpatient psychiatric admissions. Cognitive and behavioural approaches have been developed to manage aggressive behaviour but the effectiveness of these interventions on reducing aggressive behaviour and other outcomes are unclear. This is the third update of this review and adds nine new studies, resulting in a total of 15 studies in this review. OBJECTIVES: To evaluate the efficacy of behavioural and cognitive-behavioural interventions on outwardly directed aggressive behaviour compared to usual care, wait-list controls or no treatment in people with intellectual disability. We also evaluated enhanced interventions compared to non-enhanced interventions. SEARCH METHODS: We used standard, extensive Cochrane search methods. The latest search date was March 2022. We revised the search terms to include positive behaviour support (PBS). SELECTION CRITERIA: We included randomised and quasi-randomised trials of children and adults with intellectual disability of any duration, setting and any eligible comparator. DATA COLLECTION AND ANALYSIS: We used standard Cochrane methods. Our primary outcomes were change in 1. aggressive behaviour, 2. ability to control anger, and 3. adaptive functioning, and 4. ADVERSE EFFECTS: Our secondary outcomes were change in 5. mental state, 6. medication, 7. care needs and 8. quality of life, and 9. frequency of service utilisation and 10. user satisfaction data. We used GRADE to assess certainty of evidence for each outcome. We expressed treatment effects as mean differences (MD) or odds ratios (OR), with 95% confidence intervals (CI). Where possible, we pooled data using a fixed-effect model. MAIN RESULTS: = 87%; 2 studies, 128 participants). Reasons for downgrading the certainty of evidence were risk of bias (particularly selection and performance bias); imprecision (results from single, often small studies, wide CIs, and CIs crossing the null effect); and inconsistency (statistical heterogeneity). AUTHORS' CONCLUSIONS: There is moderate-certainty evidence that cognitive-behavioural approaches such as anger management and PBS may reduce outwardly directed aggressive behaviour in the short term but there is less certainty about the evidence in the medium and long term, particularly in relation to other outcomes such as quality of life. There is some evidence to suggest that combining more than one intervention may have cumulative benefits. Most studies were small and there is a need for larger, robust randomised controlled trials, particularly for interventions where the certainty of evidence is very low. More trials are needed that focus on children and whether psychological interventions lead to reductions in the use of psychotropic medications.
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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 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".