(P1-58) Frailty, Dementia and Disaster: An E-Learning Initiative for Health Care Providers
Bibliographic record
Abstract
Frailty, Dementia and Disaster: an e-learning initiative for Health care providers D. Maltais1, M. Gibson2, L. Hardy3, S. Ruthe4, 1University of Quebec, Chicoutimi 2St. Joseph's Health Care London, London 3Health and Social Services, Yukon Territory Government, Whitehorse 4Emergency Program, Corporation of the District of Oak Bay, Victoria, Canada. This poster describes the development, piloting, evaluation, and dissemination of the e-learning tool: “Frailty, Dementia and Disasters: What Health Care Providers Need to Know”. The purpose of the e-learning tool is to contribute to international efforts to reduce the disproportionate vulnerability of older adults in emergencies and disasters. Key literature on geriatric emergency preparedness and response issues, including the roles and responsibilities of health care providers, was identified and synthesized. Content was piloted in a facilitated workshop in Ontario. A Canada-wide health provider reference group provided feedback on the transition from a traditional powerpoint presentation to an e-learning format. The evaluation process included facilitated review of the tool by health care providers in two in-person workshops in each of Yukon and Quebec and in an independent review by health care providers in British Columbia (virtual). The learning objectives of the e-learning resource are to help health care providers, administrators and policy makers understand the: · disproportionate vulnerability of older adults who are frail and those who have dementia, in emergencies and disasters; · components of the emergency management cycle and how they apply to this target population; · best practice resources that can be used to improve emergency preparedness, response, recovery and mitigation; and · role of health care organizations and providers in emergency management for these older adults. The e-Learning tool is hosted with open access on www.dementiaknowledgebroker.ca (DKB), a platform facilitated by the CDRAKE - the knowledge exchange theme of the Canadian Dementia Knowledge TranslationNetwork (CDKTN).
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.136 | 0.036 |
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".