Content analysis of parent training programs for children with neurodisabilities and mental health or behavioral problems: a scoping review
Bibliographic record
Abstract
PURPOSE: Several systematic reviews have examined parent training programs for families of children with autism spectrum disorder (ASD). The present review expands on this literature by describing the components, delivery methods, and level of parent involvement in parent training programs that target families of children with any neurodisability and comorbid disruptive behavior or other mental health problem. MATERIALS AND METHODS: Following a scoping review protocol, the search strategy included randomized controlled trials of parent training programs conducted with families of children with neurodisabilities and comorbid disruptive behavior or mental health problems. Study characteristics, program content, delivery methods, and theoretical frameworks were extracted from eligible studies. RESULTS: A total of 22 articles were included from the 453 full-text articles initially screened. Thirteen different programs fell into two general categories based on whether they targeted child disruptive behavior or anxiety. Analysis of the content yielded five themes: child skill enhancement, parenting as enacted, parenting as experienced, disability-related parenting, and parent-child relationships. The theoretical underpinnings were identified, when possible, from each study. CONCLUSIONS: Parent training programs for parents of children with neurodisabilities targeting child anxiety involved parents in a complementary role in treatment while those targeting disruptive behavior involved parents in a primary role in creating behavior change. We suggest that the extent of parent involvement in interventions be guided by theory rather than diagnosis of the child.Implications for rehabilitationParents of children living with neurodisabilities play a key role in delivering interventions to address comorbid mental health or behavioral problems.Parent training programs for families of children with neurodisabilities vary in relation to their aims, involvement of parents in delivering interventions, disability-specific content, and delivery methods.When referring families, rehabilitation professionals should be aware of aspects of child, parent, and family relational well-being targeted by parent training programs and, when feasible, give families a choice of the style of program to meet their needs.
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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 | 0.028 | 0.119 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.008 |
| Bibliometrics | 0.030 | 0.026 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".