Impact of “early intervention” parent workshops on outcomes for caregivers of children with neurodisabilities: a mixed-methods study
Bibliographic record
Abstract
PURPOSE: This study explored the feasibility, impact and parent experiences of ENVISAGE (ENabling VISions And Growing Expectations)-Families, a parent-researcher co-designed and co-led program for parents/caregivers raising children with early-onset neurodisabilities. METHODS: Parents/caregivers of a child with a neurodisability aged ≤6 years, recruited in Australia and Canada, participated in five weekly online workshops with other parents. Self-report measures were collected at baseline, immediately after, and 3 months post-ENVISAGE-Families; interviews were done following program completion. Quantitative data were analyzed with generalized estimating equations and qualitative data using interpretive description methodology. RESULTS: ≤ 0.05 after the program and maintained at 3-month follow-up). The ENVISAGE-Families program was relevant to parents' needs for: information, connection, support, wellbeing, and preparing for the future. Participants experienced opportunities to reflect on and/or validate their perspectives of disability and development, and how these perspectives related to themselves, their children and family, and their service providers. CONCLUSIONS: ENVISAGE was feasible and acceptable for parent/caregivers. The program inspired parents to think, feel and do things differently with their child, family and the people who work with them.Implications for rehabilitationENVISAGE (ENabling VISions And Growing Expectations)-Families is a co-designed, validated parent/researcher "early intervention and orientation" program for caregivers raising a child with neurodevelopmental disabilities (NDDs).ENVISAGE-Families empowered parents' strengths-based approaches to their child, family, disability, and parenting.ENVISAGE-Families increased caregivers' confidence in parenting children with NDD's and provided them tools to support connection, collaboration, and wellbeing.Raising children with NDD can have a profound impact on caregivers, who can benefit from strengths-based, future focused supports early in their parenting experience.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".