Effects of a Mobile Storytelling App (Huiyou) on Social Participation Among People With Mild Cognitive Impairment: Pilot Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: As the prevalence of mild cognitive impairment (MCI) among older adults increases, so does the need to enhance social participation and cognitive functions through innovative interventions. Digital storytelling in group settings holds potential not only to foster social connections but also to integrate with traditional in-person activities, leveraging both for greater impact. OBJECTIVE: This study aimed to evaluate the feasibility of the Huiyou app in supporting group-based storytelling activities, aiming to enhance social participation for people with MCI. We focused on the app's ability to improve storytelling goal attainment, social connectedness, self-efficacy, and subjective happiness, comparing these outcomes between the experimental and control groups. METHODS: We randomly assigned 20 participants with MCI to either an intervention group or a control group, engaging them in the use of the Huiyou digital storytelling app over 4 weekly sessions of 45 minutes each. We measured outcomes through the Assessment of Life Habits questionnaire (77 items), particularly outdoor activities and interpersonal relationships; the Social Connectedness Scale-Revised (20 items); the General Self-Efficacy Scale (10 items), focusing on coping self-efficacy; and the Subjective Well-Being Scale (SWBS; 20 items), with a special emphasis on self-acceptance. RESULTS: The sample had an average age of 69.7 (SD 3.21) years, with no significant (P=.23) baseline differences between groups in age, sex, or educational background. Cognitive function, assessed via the Montreal Cognitive Assessment-Chinese questionnaire, also showed no significant differences at baseline (P=.20). Specifically, significant enhancements in the outdoor activity (mean value difference 0.171, SD 0.353; Cohen d=1.046; P=.03) and interpersonal adaptation experience subscales of the SWBS (mean value difference 0.167, SD 0.247; Cohen d=1.290; P=.01) were noted. Notably, storytelling performance improved markedly, evidenced by increases in story sharing duration and complexity. Although overall improvements in Assessment of Life Habits (P=.14), Social Connectedness Scale-Revised (P=.59), and Subjective Well-Being Scale (P=.26) scores were not statistically significant, the large effect sizes observed suggest potential benefits of the Huiyou app that might be obscured by the study's small sample size. CONCLUSIONS: This study indicates that the Huiyou mobile storytelling app is feasible to enhance social participation and specific aspects of social functioning such as interpersonal adaptation for people with MCI. Despite the lack of significant changes in overall scores for key scales, observed effect sizes highlight a positive trend that merits further investigation. These results advocate for the continuation of digital intervention development to improve quality of life and social integration for individuals with MCI.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".