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Record W4415388151 · doi:10.2196/preprints.86205

Evaluating the Preliminary Outcomes and Acceptability of a Virtual Adaptation of Acceptance and Commitment Training for Caregivers of People With Disabilities (“I Am Not Alone”): Mixed Methods Study (Preprint)

2025· article· W4415388151 on OpenAlexaboutno aff
Louisa Lok Yee Man, Hadas Dahary, Carly Magnacca, Lee Steel, Yona Lunsky, Alex Porthukaran, Jodie Siu, Nicole Bobbette, Brianne Redquest, Kendra Thomson, Melanie Penner, Jonathan A. Weiss, Johanna Lake, Kenneth Fung

Bibliographic record

Venuenot available
Typearticle
Language
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthIntervention (counseling)Acceptance and commitment therapyScale (ratio)Flexibility (engineering)Psychological interventionPsychological resilience

Abstract

fetched live from OpenAlex

BACKGROUND Family caregivers of children and youth with neurodevelopmental disabilities report higher levels of stress, anxiety, and depression than other caregivers, yet few evidence-based mental health services are available to support them. Our previous research demonstrated that caregivers benefitted from our in-person group-based acceptance and commitment training (ACT) workshop, which increased their psychological flexibility and improved their mental well-being. During the COVID-19 pandemic, we adapted this intervention to be delivered virtually. OBJECTIVE In this study, we evaluated the program’s impact on caregivers’ psychological flexibility and mental well-being, as well as the acceptability of the virtual program. METHODS A total of 205 family caregivers of neurodivergent people or people with disabilities who registered for a virtual, group-based ACT intervention (10-12 hours across 5 or 6 weeks) from 1 of 27 teams across Canada participated in this research. ACT process (measured via the Cognitive Fusion Questionnaire, Acceptance and Action Questionnaire, Self-Compassion Scale–Short Form, and Valued Living Questionnaire) and mental well-being outcomes (measured through the Patient Health Questionnaire, Parenting Stress Index, Multi-System Model of Resilience Inventory, and Short Warwick-Edinburgh Mental Well-being Scale) were measured before and after the intervention and again at an 8-week follow-up. An acceptability survey was completed after the intervention, including items on satisfaction with virtual aspects of the intervention. RESULTS There was high intervention acceptability related to the virtual format (at least >80% satisfaction) despite variability in individual preferences (preferred in-person format: 28/91, 31%; preferred virtual format: 37/91, 41%; no preference: 26/91, 29%). Significant improvements were found for most ACT processes (fusion: F2,279=63.96; psychological flexibility: F2,264=38.81; values: F2,244=8.32; self-compassion: F2,170=33.59; P<.001 in all cases) and mental well-being measures (parental stress: F2,236=20.27; well-being: F2,137=22.89; mood: F2,15=23.12; resilience: F2,17=32.83; P<.001 in all cases). Pairwise comparisons between preintervention and follow-up showed maintenance of ACT skills (P<.001 in all cases; ηp2 ranged from 0.09 to 0.40) and well-being improvement (P<.001 in all cases; ηp2 ranged from 0.19 to 0.37). Direct content analysis of participants’ qualitative survey responses revealed that cognitive defusion, mindfulness, and acceptance were the most helpful ACT processes. We received feedback for modifications to formatting, pacing, content, and duration of the group to support a wider range of caregiver needs. CONCLUSIONS The virtual, group-based ACT intervention was acceptable and led to positive changes in psychological flexibility and mental well-being among family caregivers of people with disabilities or neurodivergent people, similar to outcomes observed with in-person delivery of the intervention. Further comparison and contrast with in-person programming is needed to ensure accessibility and sustainability of this program.

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)0.012
metaresearch head score (Gemma)0.011
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
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)0.0020.000

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 head0.166
GPT teacher head0.482
Teacher spread0.316 · 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
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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