Community-based interventions for improving mental health in refugee children and adolescents in high-income countries
Bibliographic record
Abstract
BACKGROUND: An unprecedented number of people around the world are experiencing forced displacement due to natural or man-made events. More than 50% of refugees worldwide are children or adolescents. In addition to the challenges of settling in a new country, many have witnessed or experienced traumatic events. Therefore, refugee children and adolescents are at risk of developing mental health problems such as post-traumatic stress disorder, and require appropriate and effective support within communities. OBJECTIVES: To assess the effectiveness and acceptability of community-based interventions (RCTs only) in comparison with controls (no treatment, waiting list, alternative treatment) for preventing and treating mental health problems (major depression, anxiety, post-traumatic stress disorder, psychological distress) and improving mental health in refugee children and adolescents in high-income countries. SEARCH METHODS: Databases searches included the Cochrane Common Mental Disorders Controlled Trials Register (all available years), CENTRAL/CDSR (2021, Issue 2), Ovid MEDLINE, Embase, six other databases, and two trials registries to 21 February 2021. We checked reference lists of included study reports. SELECTION CRITERIA: Studies of any design were eligible as long as they included child or adolescent refugees and evaluated a community-based mental health intervention in a high-income country. At a second stage, we selected randomised controlled trials. DATA COLLECTION AND ANALYSIS: For randomised controlled trials, we extracted data relating to the study and participant characteristics, and outcome data relating to the results of the trial. For studies using other evaluation methods, we extracted data relating to the study and participant characteristics. W derived evidence on the efficacy and availability of interventions from the randomised controlled trials only. Data were synthesised narratively. MAIN RESULTS: We screened 5005 records and sought full-text manuscripts of 62 relevant records. Three randomised controlled trials were included in this review. Key concerns in the risk of bias assessments included a lack of clarity about the randomisation process, potential for bias is outcome measurement, and risk of bias in the selection of results. Primary outcomes There was no evidence of an effect of community-based interventions when compared with a waiting list for symptoms of post-traumatic stress (mean difference (MD) -1.46, 95% confidence interval (CI) -6.78 to 3.86: 1 study; low-certainty evidence), symptoms of depression (MD 0.26, 95% CI -2.15 to 2.67: 1 study; low-certainty evidence), and psychological distress (MD -10.5, 95% CI -47.94 to 26.94; 1 study; very low-certainty evidence). There were no data on adverse events. Secondary outcomes Three trials reported on short-term changes in child behaviour, using different measures, and found no evidence of an effect of the intervention versus a waiting list (low to very low certainty). None of the trials reported on quality of life or well-being, participation and functioning, or participant satisfaction. AUTHORS' CONCLUSIONS: There is insufficient evidence to determine the efficacy and acceptability of community-based mental health interventions for refugee children and adolescents.
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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 | 0.009 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".