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Record W1842746387 · doi:10.12968/ijpn.2015.21.8.385

A Japanese booklet about palliative care for advanced dementia in nursing homes

2015· article· en· W1842746387 on OpenAlexaffabout
Miharu Nakanishi, Yuki Miyamoto, Carol O. Long, Marcel Arcand

Bibliographic record

VenueInternational Journal of Palliative Nursing · 2015
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPalliative careDementiaDebriefingMedicineNursingIntervention (counseling)Nursing homesSession (web analytics)Family medicineMedical educationDisease

Abstract

fetched live from OpenAlex

BACKGROUND: A Canadian guide for nursing home staff on comfort care for dementia has been translated and adapted for use in Japan. The present study piloted educational intervention for nursing home staff using the Japanese comfort care booklet. METHOD: Some 61 nursing home staff (nurses and other care workers) completed a session that included pre-assessment, a 30-minute seminar using the comfort care booklet, post-assessment, and a one-hour debriefing meeting. A Japanese version of the questionnaire on palliative care for advanced dementia (qPAD) scale was used to assess knowledge and attitudes toward palliative care for advanced dementia. RESULTS: The participants demonstrated a significant increase in knowledge (mean score, 14.3 to 15.1/23, t (60) = 2.35, p=0.011) and attitudes (43.8 to 45.2/60, t (60) = 2.51, p = 0.015) toward palliative care for advanced dementia from pre-assessment to post-assessment. CONCLUSION: The educational intervention using the Japanese comfort care booklet may have improved nursing home staff's perspectives on palliative care for advanced dementia.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.121
Threshold uncertainty score0.819

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.111
GPT teacher head0.482
Teacher spread0.372 · 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

Citations16
Published2015
Admission routes2
Has abstractyes

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