Mental health and COVID‐19: The impact of a virtual course for family caregivers of adults with intellectual and developmental disabilities
Bibliographic record
Abstract
BACKGROUND: The COVID-19 pandemic has significantly impacted family caregivers of adults with intellectual and developmental disabilities (IDD). This study evaluated a virtual course for family caregivers from across Canada, focused on supporting the mental health and well-being of adults with IDD and their families. The evaluation examined the feasibility and acceptability of the course, as well as the impact of the intervention on participants' overall health and well-being. METHODS: The 6-week virtual course, informed by a parallel Extension for Community Healthcare Outcomes (ECHO) course for service providers, combined didactic instruction with applied activities. A total of 126 family caregiver course participants consented to be part of the research evaluation delivered over three cycles between October 2020 and April 2021. Attendance was measured at each weekly session. Satisfaction was assessed weekly and post-program. Learning, self-efficacy, and well-being were assessed pre- and post-course, and again at follow-up (8 weeks post-course). Mixed-effects models assessed changes between and within individuals across time. RESULTS: Participants had consistent attendance, low-dropout rates, and reported high satisfaction, with 93% of participants reporting that their expectations for the course were met. Compared with pre-course, participants reported improved self-efficacy and well-being post-course, which were maintained at follow-up. CONCLUSIONS: An interactive and applied virtual education course delivered to a large group of family caregivers of adults with IDD was both feasible and acceptable. It positively impacted participants' well-being by offering much needed mental health support and creating a peer-led community of practice.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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 teacher head, 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".