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Record W2521473657 · doi:10.1177/1533317516668574

An Education Intervention to Enhance Staff Self-Efficacy to Provide Dementia Care in an Acute Care Hospital in Canada

2016· article· en· W2521473657 on OpenAlexafffundabout
Lori Schindel Martin, Leslie Gillies, Esther Coker, Anne Pizzacalla, Maureen Montemuro, Grace Suva, Victoria McLelland

Bibliographic record

VenueAmerican Journal of Alzheimer s Disease & Other Dementias® · 2016
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsRegistered Nurses' Association of OntarioMcMaster UniversityHamilton Health SciencesHome and Community Care Support ServicesToronto Metropolitan University
FundersMcMaster UniversityHamilton Health Sciences
KeywordsDementiaMedicineIntervention (counseling)Baseline (sea)Physical therapyFamily medicineNursingInternal medicineDisease

Abstract

fetched live from OpenAlex

Education is needed for enhanced capacity of acute hospitals to provide dementia care. A nonrandomized controlled, repeated-measures design was used to evaluate a dementia education program delivered to an intervention group (IG, n = 468), compared to a wait-listed group (n = 277), representing separate sites of a multisite hospital. Participants completed self-efficacy for dementia and satisfaction measures and provided written descriptions of dementia care collected at baseline, postintervention (IG only), and at 8-week follow-up. Oral narratives were gathered from IG participants 8 weeks postintervention. The IG demonstrated significant improvement in self-efficacy scores from baseline to immediately postintervention (P < .001), sustained at 8 weeks. There were no changes from baseline to 8 weeks postintervention evident in the wait-listed group (P = .21). Intervention group participants described positive impacts including implementation of person-centered care approaches. Implementation of dementia care education programs throughout hospital settings is promising for the enhancement of dementia 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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.946

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.324
Teacher spread0.319 · 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 teacher head, 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

Citations54
Published2016
Admission routes3
Has abstractyes

Explore more

Same venueAmerican Journal of Alzheimer s Disease & Other Dementias®Same topicDementia and Cognitive Impairment ResearchFrench-language works237,207