Implementation of a tablet-based care prevention programme—information and communication technology-integrated occupational therapy for older adults with cognitive decline
Bibliographic record
Abstract
OBJECTIVE: This case report examines the implementation of a tablet-based care prevention program for an older adult with cognitive decline, aiming to enhance Instrumental Activities of Daily Living (IADL) and social participation through Information and Communication Technology (ICT)-integrated occupational therapy. CASE PRESENTATION: The participant was an 80-year-old male diagnosed with mild cognitive impairment (MCI), with a history of glaucoma and hypertension. Despite prior exposure to tablets, he lacked confidence in their use. He enrolled in a community-based ICT support program to improve daily activity engagement. Intervention: A four-month intervention, consisting of two sessions per month, was conducted. Initial assessments included the Mini-Mental State Examination (MMSE), the Mobile Device Proficiency Questionnaire-Japanese (MDPQ-J), and the Canadian Occupational Performance Measure (COPM) and the World Health Organization Quality of Life-BREF (WHOQOL-BREF). The intervention involved guided tablet use, environmental modifications (tablet stand and stylus adaptation), and training in digital mapping and drawing applications. OUTCOMES: After the intervention, the MDPQ-J score improved from 9.58/40 to 13.96/40, and COPM satisfaction scores increased for both digital mapping (4/10 to 6/10) and drawing (5/10 to 7/10). The WHOQOL-BREF score increased from 66 to 70. The participant demonstrated improved ICT confidence and expanded daily activity engagement. CONCLUSION: This case highlights the potential of ICT-integrated occupational therapy in enhancing IADL among community-dwelling older adults with cognitive decline. Future research should focus on both testing and developing structured ICT-based interventions to further support social participation and daily independence.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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".