A systematic review and meta-analysis of meditative interventions for informal caregivers and health professionals
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Burnout, stress and anxiety have been identified as areas of concern for informal caregivers and health professionals, particularly in the palliative setting. Meditative interventions are gaining acceptance as tools to improve well-being in a variety of clinical contexts, however, their effectiveness as an intervention for caregivers remains unknown. AIM: To explore the effect of meditative interventions on physical and emotional markers of well-being as well as job satisfaction and burnout among informal caregivers and health professionals. DESIGN: Systematic review of randomised clinical trials and pre-post intervention studies with meditative interventions for caregivers. DATA SOURCES: PubMed, EMBASE, CINAHL and PsycINFO were searched up to November 2013. Of 1561 abstracts returned, 68 studies were examined in full text with 27 eligible for systematic review. RESULTS: Controlled trials of informal caregivers showed statistically significant improvement in depression (effect size 0.49 (95% CI 0.24 to 0.75)), anxiety (effect size 0.53 (95% CI 0.06 to 0.99)), stress (effect size 0.49 (95% CI 0.21 to 0.77)) and self-efficacy (effect size 0.86 (95% CI 0.5 to 1.23)), at an average of 8 weeks following intervention initiation. Controlled trials of health professionals showed improved emotional exhaustion (effect size 0.37 (95% CI 0.04 to 0.70)), personal accomplishment (effect size 1.18 (95% CI 0.10 to 2.25)) and life satisfaction (effect size 0.48 (95% CI 0.15 to 0.81)) at an average of 8 weeks following intervention initiation. CONCLUSIONS: Meditation provides a small to moderate benefit for informal caregivers and health professionals for stress reduction, but more research is required to establish effects on burnout and caregiver burden.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 it