What do we know about technologies for dementia-related wandering? A scoping review
Bibliographic record
Abstract
BACKGROUND: Occupational therapists use technologies to manage wandering-related risks to promote safety and independence among individuals with dementia living in the community. PURPOSE: The purpose of this review was to examine types of technologies used to manage wandering behaviour. METHOD: Using a modification of Arksey and O'Malley's methodology, we systematically searched peer-reviewed and grey literature on technologies used in home or supportive care environments for persons with dementia at risk for wandering. Data from the studies were analyzed descriptively. FINDINGS: The literature described 83 technologies. Nineteen devices were clinically tested. Interventions ranged from alarm products to mobile locator devices. Benefits included reductions in risk and caregiver burden. IMPLICATIONS: Occupational therapy strategies include technologies to enhance function in persons with dementia. Technologies can also reduce risks of wandering and should be affordable. Ethical issues of the use of technology must be addressed. More research is needed to increase levels of evidence.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 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".