Home Visit Based Mindfulness Intervention for Vietnamese American Dementia Family Caregivers: A Pilot Feasibility Study
Bibliographic record
Abstract
Background: Healthcare disparities continue to exist among the Vietnamese American (VA) community and many factors (e.g., fear of social stigma) deter family caregivers of persons with dementia (PWD) from seeking assistance. Purpose: To pilot-test a language-specific and culturally appropriate mindfulness intervention to improve dementia VA family caregiver well-being. Methods: Bilingual, trained research assistants administered a mindfulness exercise (i.e., deep breathing) to family caregivers and provided continuous support and care resources through weekly home visits for a month. Weekly surveys measured changes in emotion, feelings of connectedness to the PWD, and mood (i.e., happiness) before and after the intervention. Results: A total of nine VA family caregivers of PWD participated in this pilot study. Positive affect showed an increasing trend (Mpre = 16.0 (SD = 3.48), Mpost = 17.1 (SD = 3.06)) and negative affect showed a decreasing trend (Mpre = 6.44 (SD = 3.31), Mpost = 5.22 (SD = 0.359)). Happiness showed an increasing trend (Mpre = 4.30 (SD = 0.767), Mpost = 4.44 (SD = 0.873)). Conclusions: These findings suggest that a home-based dementia family caregiver intervention with mindfulness exercises may potentially increase positive affect and decrease negative affect in Vietnamese American family caregivers of PWD. Similar interventions may help reduce caregiver burden in dementia family caregivers of other cultures.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".