PAN-CANADIAN ESTIMATES OF THE PREVALENCE ASSOCIATED WITH CRITICAL WANDERING AMONG HOME CARE CLIENTS
Bibliographic record
Abstract
Abstract Wandering is a behaviour common in people living with dementia. Persons living with dementia are at increased risk of getting lost and going missing due to critical wandering. However, the evidence is inconclusive. We used 17 years of cross-sectional clinical assessment records from home care services based on interRAI Home Care assessments to provide Pan-Canadian estimates of the prevalence and clinical risks associated with recent critical wandering. (n=1,598,191). The main clinical variable of interest was recent occurrence of critical wandering. We tested associations between wandering and dementia and cognitive impairment. In all the study regions combined, the overall rate of recent wandering is 3.0%, representing 48,641 unique individuals. The sample was comprised of mainly older adults, with 84.3% over the age of 65. The sample was also predominately female (60.9%). A dementia diagnosis including Alzheimer’s disease or other dementias was present in 23.6% of the sample. Dementia was strongly associated with the prevalence of recent wandering Chi-squared(1, N=1,598,191) = 101,298.866, p < 0.0001). Cognitive impairment was also strongly associated with the prevalence of recent wandering Chi-squared(1, N=1,598,191) = 155,414.738, p < 0.0001). Our analyses also show that persons with wandering behaviour experience many different additional clinical problems that can pose important risks to their health and would require attention of first responders and health professionals. interRAI HC offers insights into wandering risk and health profiles of home care client. This information should be used to manage risk in the community and should be shared with first responders where appropriate.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".