Mental health problems among adolescents and young adults with childhood-onset physical disabilities: A scoping review
Bibliographic record
Abstract
Aim: This scoping review aims to better understand the extent and nature of research activity on the topic of mental health problems in young people with childhood-onset physical disabilities. Specifically, we document what has been investigated in terms of the occurrence and experience of mental health problems among young people with childhood-onset physical disabilities, and their access to mental health services. Methods: We searched four databases (Medline, PsycINFO, CINAHL, Embase) for articles published between 2007 and 2019. Studies were included if they addressed: (1) young people between the ages of 13 and 24 with a childhood-onset physical disability, and (2) mental health assessment, treatment, or service access and use. Results: We identified 33 peer-reviewed studies that focused mainly on young people with cerebral palsy, juvenile arthritis, and spina bifida. The most common mental health problems investigated were depression and mood related difficulties (73%), anxiety (39%), and social/behavioural issues (33%) and the most common age range was 13 to 17. Ten studies explored access, use, and experiences of mental health services; stigma; caregiver mental health; and value for comprehensive care, using qualitative, quantitative, or mixed methods. Conclusions: Findings suggest the importance of developing integrated models of service delivery to identify and address the mental health needs of this population, and consensus on best practices for assessment and reporting rates of subclinical symptoms and psychiatric conditions.
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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 | 0.007 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.013 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 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".