Development and validation of a conceptual model and strategy adoption guidelines for persons with dementia at risk of getting lost
Bibliographic record
Abstract
Various solutions are available to address critical wandering; however, no guideline exists to allow for the successful adoption of these strategies. This study developed and validated a conceptual model and series of guidelines to facilitate choice of wander-management strategies. Face and content validity of the model and guidelines were assessed through an online and paper survey, individual interviews and focus groups across stakeholders. Directed content analysis was performed. Overall impression of the conceptual model and guidelines was positive. Valued features included the guidelines' ability to help users in choosing proactive wander-management strategies. Suggested changes included revisions in terminology and more factors and strategies to be added to the model and guidelines. This work is being disseminated and used by persons with dementia, caregivers, health practitioners and community service providers to identify strategies to mitigate the risks associated with critical wandering.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".