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Record W4308680845 · doi:10.1017/s0714980822000484

Championing Dementia Education: Adapting an Effective Scottish Dementia Education Program for Canadian Acute Health Care Providers

2022· article· en· W4308680845 on OpenAlexafffundabout
Shelley Peacock, Melanie Bayly, Shaneice Fletcher-Hildebrand, Kirstian Gibson, Rhoda MacRae, Anna Jack-Waugh, Kristen R. Haase, Jill Bally, Wendy Duggleby, Steven Hall, Lorraine Holtslander, Carrie McAiney, Joanne Michael, Debra Morgan, Megan E. O’Connell, Jenny Ploeg, Noelle Rohatinsky, Genevieve Thompson, Isabelle Vedel

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2022
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsMcGill UniversityUniversity of ManitobaMcMaster UniversityUniversity of WaterlooResearch Institute for AgingUniversity of British ColumbiaAlzheimer Society of CanadaUniversity of AlbertaUniversity of Saskatchewan
FundersInstitute of Aging
KeywordsDementiaMedicineNursingPsychologyGerontologyDisease

Abstract

fetched live from OpenAlex

Abstract With increasing numbers of persons living with dementia and their higher rates of hospitalizations, it is necessary to ensure they receive appropriate and effective acute care; yet, acute care environments are often harmful for persons with dementia. There is a lack of dementia education for acute health care providers in Canada. Scotland presently delivers a dementia education program for health care providers, known as the Scottish National Dementia Champions Programme. The objective of this Policy and Practice Note is to present the collaborative work of Scottish experts and Canadian stakeholders to adapt the Dementia Champions Programme for use in Canada. This work to date includes: (a) an environmental scan of Canadian dementia education for acute health care providers; (b) key informant interviews; and, (c) findings from a two-day planning meeting. The results of this collaborative work can and are being used to inform the next steps to develop and pilot a Canadian dementia education program.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.357

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0140.002
Scholarly communication0.0030.001
Open science0.0020.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.013
GPT teacher head0.320
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2022
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissement→Same topicGeriatric Care and Nursing Homes→French-language works237,207→