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Record W4297909303 · doi:10.1177/14713012221127358

“This is how I want it”: Exploring the use of a workbook with persons with dementia to support advance care planning engagement

2022· article· en· W4297909303 on OpenAlexaffabout
Tamara Sussman, Jack Lawrence, Rebecca Pimienta

Bibliographic record

VenueDementia · 2022
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsMcGill University
Fundersnot available
KeywordsWorkbookDementiaPsychologyGerontologyMedicineMedical educationPolitical scienceDisease

Abstract

fetched live from OpenAlex

This mixed method sequential study reports focus group and pilot intervention findings that (1) explore the views of persons with dementia and their caregivers on using a self-directed advance care planning engagement workbook ( Your Conversation Starter Kit) and (2) uncover the conditions that encouraged and hindered workbook use. In Phase 1, we conducted five focus groups consisting of 10 persons with dementia and eight family members/caregivers from two urban Canadian cities to explore overall impressions of the workbook and factors that might affect its use. In Phase 2, we empirically explored the factors identified in Phase 1 by distributing the workbook to 24 persons with dementia. The combined findings suggest that the workbook offers promise in supporting advance care planning engagement for persons with dementia in the early stages of their condition. Involving family/caregivers and clarifying some of the ranked questions might improve the workbook’s use. Persons with dementia without familial support or those who have never contemplated advance care planning may require additional guidance prior to workbook distribution.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.853
Threshold uncertainty score0.694

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.271
GPT teacher head0.374
Teacher spread0.103 · 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 designNot applicable
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

Citations13
Published2022
Admission routes2
Has abstractyes

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