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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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.002

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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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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