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Record W3106266215 · doi:10.1177/0825859720973937

Enabling Advance Care Planning in Dementia Care: A Primary Care Approach

2020· article· en· W3106266215 on OpenAlexaff
Linda Lee, Loretta M. Hillier, Stephanie K. Lu, Donna Ward

Bibliographic record

VenueJournal of Palliative Care · 2020
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsHamilton Health SciencesHealth Sciences CentreMcMaster UniversityCentre for Family Medicine
Fundersnot available
KeywordsAdvance care planningHealth professionalsMedicineNursingHealth carePerceptionPsychologyPalliative care

Abstract

fetched live from OpenAlex

BACKGROUND: Lack of tools to support advance care planning (ACP) has been identified as a significant barrier to implementing these discussions. AIM: We pilot tested an ACP framework tool for use with persons living with dementia (PLWD) in primary care-based memory clinics and an Adult Day Program; this study describes user and recipient experiences with this framework. METHODS: We used a mixed methods approach. Health professionals completed an online survey following pilot testing and PLWD and substitute decision makers (SDM) completed survey immediately following the ACP discussion assessing their satisfaction (5-point scale) with the framework and exploring potential outcomes. Interviews with health professionals, PLWD, and SDM were conducted to gather more in-depth information on their perceptions of the ACP framework/ discussion. RESULTS: Surveys were completed by 12 health professionals, 13 PLWD, and 16 SDM. While PLWD and SDM were satisfied with the ACP discussion (M = 4.0/5), health professionals were minimally satisfied with the ease of use of the framework (M = 2.0/5), acceptability for patients (M = 2.4/5) and feasibility in practice (M = 1.9/5). Sixteen interviews were completed with 8 health professionals, 1 PLWD, and 7 SDM. While health professionals valued ACP, lack of time and training were identified barriers to framework use. SDM felt better prepared for future decisions and PLWD were put at ease, knowing that their wishes for care were understood. CONCLUSION: PLWD and SDM value the opportunity for ACP, and although health professionals identified some concerns with framework administration, they acknowledge the value and importance of ACP. Continuing efforts to refine ACP processes are justified.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.540
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.120
GPT teacher head0.400
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
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

Citations10
Published2020
Admission routes1
Has abstractyes

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