Associations and costs of parental symptoms of psychiatric distress in a multi-diagnosis group of children with special needs
Bibliographic record
Abstract
BACKGROUND: Families supporting children with complex needs are significantly more distressed and economically disadvantaged than families of children without disability and delay. What is not known is the associations and costs of parental psychiatric distress within a multi-diagnosis group of special needs children. METHODS: In this cross-sectional survey, families were identified from the Children's Treatment Network. Families were eligible if the child was aged 0-19 years, resided in Simcoe/York, and if there were multiple family needs (n = 429). RESULTS: Some 42% of surveyed parents exhibited symptoms (mild to severe) of psychiatric distress. The presence of these symptoms was associated with reports of poorer social support, family dysfunction, greater adverse impact of the child's situation on the family, poorer child behaviour, unfavourable parenting styles and poorer child psychosocial functioning. The severity of the child's physical dysfunction was not related to parents/guardians most knowledgeable symptoms of psychiatric distress. Total parent costs were higher and children's uses of primary care services were higher in parents with symptoms of psychiatric distress. CONCLUSION: Parent symptoms of psychiatric distress are a significant societal concern in families with complex needs children. Children's rehabilitation efforts need to incorporate parental mental health assessment and treatment into existing programmes. This could lead to decreases in direct and indirect healthcare utilisation costs.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".