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Record W4401018334 · doi:10.1136/emermed-2024-213898

Person-centred decisions in emergency care for older people living with frailty: principles and practice

2024· review· en· W4401018334 on OpenAlexaff
James David van Oppen, Tim Coats, Simon Conroy, Sarah Hayden, Pieter Heeren, Carolyn Hullick, Shan W. Liu, Jacinta A. Lucke, Bill Lukin, Rosa McNamara, Don Melady, Simon P. Mooijaart, Tony Rosen, Jay Banerjee

Bibliographic record

VenueEmergency Medicine Journal · 2024
Typereview
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsSchwartz/Reisman Emergency Medicine Institute
FundersNational Institute for Health and Care Research
KeywordsMedicineOlder peopleGerontologyMEDLINEMedical emergencyNursing

Abstract

fetched live from OpenAlex

Older people living with frailty are frequent users of emergency care and have multiple and complex problems. Typical evidence-based guidelines and protocols provide guidance for the management of single and simple acute issues. Meanwhile, person-centred care orientates interventions around the perspectives of the individual. Using a case vignette, we illustrate the potential pitfalls of applying exclusively either evidence-based or person-centred care in isolation, as this may trigger inappropriate clinical processes or place undue onus on patients and families. We instead advocate for delivering a combined evidence-based, person-centred approach to healthcare which considers the person's situation and values, apparent problem and available options.

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)0.001
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.402
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.141
GPT teacher head0.413
Teacher spread0.272 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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