Making Mindfulness Matter May Improve Quality of Life in Young Children With Epilepsy: Pilot RCT
Bibliographic record
Abstract
OBJECTIVE Chronic disease detrimentally affects health-related quality of life (HRQOL) in children, with family environment often playing a significant role. This study evaluated the effect of Making Mindfulness Matter (M3), a community-based family mindfulness program, on HRQOL in children with epilepsy (CWE). METHODS This pilot randomized trial included children aged 4–10 years diagnosed as having epilepsy for at least 6 months and their parents in Ontario, Canada. Participants were randomly assigned (1:1) to an M3 or wait-list control group. M3 is an 8-week mindfulness program that was delivered synchronously online by nonclinician staff of an epilepsy support agency, with weekly group sessions for parents (1.5 hours) and children (1 hour). The primary outcome was child HRQOL, as measured by the parent-reported 55-item Quality of Life in Childhood Epilepsy (QOLCE-55) before randomization and 9 weeks later. Secondary outcomes included HRQOL subscales (cognitive, emotional, social, physical), as well as an additional assessment at 18 weeks for the intervention arm only. RESULTS Seventy-two families were randomized, with data from 65 (32 intervention, 33 control) available and analyzed. M3 was associated with a clinically meaningful 7-point mean increase in HRQOL (95% CI, 2–12) compared with controls at the 9-week follow-up. Findings from exploratory secondary analyses revealed that improvements were observed in cognitive (mean, 12; 95% CI, 5–19) and emotional functioning (mean, 6; 95% CI, 1–10) and maintained in the intervention arm by the 18-week follow-up (mean HRQOL, 4; 95% CI, 0–8). CONCLUSION M3 shows preliminary evidence of improving HRQOL in CWE, indicating the potential of low-cost, community-based interventions to support family well-being.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".