An Evaluation of Acceptance and Commitment Therapy Workshops for Parents of Autistic Children
Bibliographic record
Abstract
Emerging research shows that Acceptance and Commitment Therapy (ACT) may improve mental health for caregivers. This dissertation sought to understand outcomes and experiences for parents of autistic individuals following participating in a 3-day ACT group workshop. Workshops were co-led by other trained parents of autistic people and professional clinicians. In Study 1, parents (N=54) were randomly assigned to either complete a brief group- based ACT intervention or remain on the waitlist. Participants completed surveys immediately prior to randomization, and 3-, 7-, and 17-weeks post-randomization. Mixed effects linear models testing group x time interaction indicated the Treatment group demonstrated greater post- intervention improvements than the Waitlist group in parent depression and family distress. Treatment group parents also reported greater short-term gains in positive affect and personal goal attainment, compared to the Waitlist group. Although there was no significant group x time interaction for other outcomes, stress, defusion, and experiential avoidance showed improvement for the Treatment group, but not the Waitlist group, at post-intervention. All Treatment group improvements were maintained at follow-up. Results suggested that a brief ACT group intervention is efficacious for improving some aspects of mental health for parents of autistic children. In Study 2, 15 parents who had previously attended the ACT workshop participated in individual interviews, focusing on parents’ experiences in a group with a co-facilitation model, and their perspectives about who should facilitate interventions for parents of autistic people. Using a qualitative thematic analysis approach, overall themes identified included the importance of a group environment in which trust is created through establishing credibility of the program and ensuring emotional safety. This environment allowed for parents to be able to fully participate in the workshop by sharing experiences, feeling open minded and hopeful, and focusing on what is important to them. Participants discussed behaviours, knowledge, and skills that they value in facilitators, that both parent leaders and professional clinicians can contribute, as well as emphasizing the unique value that the parent leader brought to the group. Findings lend themselves to developing best practices around creating effective and supportive interventions for parents of autistic people.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| 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".