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Record W61333579 · doi:10.1177/082585970101700102

The Edmonton Functional Assessment Tool: Further Development and Validation for Use in Palliative Care

2001· article· en· W61333579 on OpenAlexaffabout
Terry Kaasa, Jean Wessel

Bibliographic record

VenueJournal of Palliative Care · 2001
Typearticle
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCronbach's alphaPalliative careMedicineConstruct validityAnalysis of varianceInternal consistencyPsychometricsPsychologyClinical psychologyNursingInternal medicine

Abstract

fetched live from OpenAlex

The objective of this study was to examine the validity of the revised version of the Edmonton Functional Assessment Tool (EFAT-2), which was designed to measure physical impairment and functional performance of patients in palliative care. The EFAT-2 was administered to 275 patients on admission to an acute palliative care unit. Principal-components factor analysis was performed on the 10 items of the scale, and Cronbach's alpha was calculated to measure internal consistency. A one-way analysis of variance (ANOVA) was carried out to compare the admission EFAT-2 scores of three groups of patients: (a) deceased on the unit, (b) transferred to a continuing care palliative unit, (c) discharged home. Two main factors were revealed: physical and non-physical (cognitive/affective). Pain was identified as an independent item and did not correlate with any other item. Cronbach's alpha was 0.86. The ANOVA was significant (F [2,267] 29.063, p < 0.001). The results suggest that the EFAT-2 measures one construct. They also suggest that the EFAT-2 is able to discriminate between palliative care patients based on discharge location.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.064
GPT teacher head0.343
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.

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

Citations42
Published2001
Admission routes2
Has abstractyes

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