Implementing Gentle Persuasive Approaches dementia education for staff on in-patient medicine units: A program evaluation
Bibliographic record
Abstract
Older adults with dementia, when hospitalised, frequently experience responsive behaviours. Staff struggle to manage responsive behaviours without specific education. We aimed to enhance staff knowledge and confidence with care for older adults with dementia and responsive behaviours on medicine units at a Canadian hospital. An online dementia education program was disseminated to staff as part of a broader quality improvement project. Gentle Persuasive Approaches (GPA) encourages staff to reframe responsive behaviours as self-protective expressions of unmet needs and learn to assess their meaning. Participants completed online quantitative and qualitative measures of self-efficacy, competence and knowledge in dementia care at three times: immediate pre-, immediate post- and six to eight weeks post-GPA eLearning. Immediately post-GPA, participants showed significant increases relative to baseline in dementia care self-efficacy, competence and knowledge. Self-efficacy scores increased further eight weeks post-GPA. Before GPA, few participants described dementia-specific strategies for de-escalating a patient's agitation. Eight weeks post-GPA, participants described application of tailored, person-centred, non-pharmacological interventions and successful application of GPA strategies. GPA eLearning strengthened staff preparedness to interact with older adults experiencing responsive behaviours, thus enhancing their care.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".