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Record W2900276437 · doi:10.1093/geroni/igy023.920

FEASIBILITY OF BE EPIC: A DEMENTIA-FOCUSED PERSON-CENTERED COMMUNICATION INTERVENTION FOR HOME CARE WORKERS

2018· article· en· W2900276437 on OpenAlex
Marie Y. Savundranayagam, Shalane Basque, Karen L. Johnson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInnovation in Aging · 2018
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsWestern University
Fundersnot available
KeywordsIntervention (counseling)EPICGovernment (linguistics)DementiaPsychologyTheme (computing)NursingMedical educationMedicineComputer scienceDisease

Abstract

fetched live from OpenAlex

This study assessed the feasibility of Be EPIC, an innovative, evidence-informed and theoretically-grounded person-centered communication intervention for personal support workers (PSWs) caring for clients with dementia. Be EPIC focuses on assessing the [E]nvironment, using [P]erson-centered communication, focusing on client relationships ([I] matter too), and incorporating the [C]lient’s abilities, life history and preferences during routine care. Informed by social cognitive theory, Be EPIC’s delivery includes: self-monitoring, supervised practice with simulated patients and adult-day center clients with dementia, and feedback/support from peers, simulated patients, and trainers. Feasibility was assessed post-training, using semi-structured interviews with PSWs (N=11). This study used a phenomenological approach to assess: acceptability, implementation, practicability, demand, and preliminary efficacy. Acceptability was reflected by the theme, helpful and relevant training. Themes supporting implementation included interactive training, realistic simulations, and exposure to diverse clients and expert staff at the adult-day center. Practicability was evidenced by the theme, support to attend training, and included facilitators and barriers. Facilitators were employers, family, and research staff. Barriers were employer-related. Demand for Be EPIC revealed two themes: participants’ personal motivation and barriers to applying newly learned knowledge and skills. Barriers were at employer and government levels. Support for preliminary efficacy was evidenced by the theme, applying newly learned knowledge and skills with home care clients. Four subthemes emerged that mapped directly onto the foci of Be EPIC. The findings support the feasibility of Be EPIC and highlight structural barriers from employers and government that must be addressed to ensure that clients with dementia receive person-centered 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.

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)0.001
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 score0.119
Threshold uncertainty score0.372

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.163
GPT teacher head0.442
Teacher spread0.279 · 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