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Impact of “early intervention” parent workshops on outcomes for caregivers of children with neurodisabilities: a mixed-methods study

2022· dataset· en· W6977517945 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2022
Typedataset
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsVisionEmpowermentIntervention (counseling)Data collectionProgram evaluationQualitative researchWork (physics)Raising (metalworking)

Abstract

fetched live from OpenAlex

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. 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. Sixty-five parents (86% mothers) were recruited and 60 (92%) completed the program. Strong evidence was found of effects on family empowerment and parent confidence (all p ≤ 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. 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. ENVISAGE (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 imitation

Not 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.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.054
GPT teacher head0.369
Teacher spread0.314 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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