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Record W2024139068 · doi:10.1080/01621424.2014.995257

A Comparison Between End-of-Life Home Care Clients With Cancer and Heart Failure in Ontario

2014· article· en· W2024139068 on OpenAlexafffundabout
Samantha Fernandes, Dawn M. Guthrie

Bibliographic record

VenueHome Health Care Services Quarterly · 2014
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsWilfrid Laurier University
FundersWilfrid Laurier University
KeywordsHeart failureMedicineCognitive impairmentPalliative careCancerActivities of daily livingGerontologyIntensive care medicineInternal medicineEmergency medicinePhysical therapyDiseaseNursing

Abstract

fetched live from OpenAlex

Individuals with heart failure experience complex symptoms and have a poor prognosis, comparable to those with cancer. However, people with heart failure are less likely to be recognized as needing palliative care. We compared seriously ill home care clients with cancer versus those with heart failure to explore differences between them using existing data from the Resident Assessment Instrument for Home Care (RAI-HC). The sample included 1,475 older adults (65+) in Ontario who had a prognosis of less than 6 months or severe health instability. Clients with heart failure were significantly older (p < .0001) and experienced significantly higher rates of impairment in activities of daily living (p = .005), cognitive impairment (p < .0001), and severe health instability (p < .0001), but were significantly less likely to have a prognosis of less than 6 months (p < .0001). Home care clients with heart failure have needs similar to those with cancer yet are typically not identified as having a terminal prognosis.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.046
GPT teacher head0.380
Teacher spread0.334 · 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 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

Citations14
Published2014
Admission routes3
Has abstractyes

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