A model of well‐being for children with neurodevelopmental disorders: Parental perceptions of functioning, services, and support
Bibliographic record
Abstract
BACKGROUND: Both child function and supports and services have been found to impact the well-being of parents of children with neurodevelopmental disorders (NDD). The relationship between function and services and the well-being of children with NDD is less well-understood and is important to clarify in order to effect program and service change. METHODS: The current project assessed whether child function as well as the adequacy of formal supports and services provided to children and their families were predictive of child well-being. Well-being was assessed using a measure of quality of life developed for use with children with NDD. Data from 234 parents were analysed using structural equation modelling. RESULTS: Each predictor was found to load significantly on the overall outcome variable of well-being. Parent concerns about child function were significantly related to child well-being; parents who reported more concerns about their children's functioning reported lower levels of child well-being. Unmet needs for formal supports and services were also significantly related to child well-being; parents who reported that more of their children's and family's service needs were unmet reported lower child well-being. An indirect relationship was also found between child function and child well-being. When parents reported that their formal support needs were adequately met, their children's functional difficulties had a lower impact on parent perceptions of their children's overall well-being. CONCLUSIONS: Taken together, the results of the current study enrich our understanding of well-being for children with NDD. Discussion focuses on the service implications for children with NDD and their families.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".