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Record W2157802779 · doi:10.1108/13660750410516221

The impact of an outpatient heart failure clinic on hospital costs and admissions

2004· article· en· W2157802779 on OpenAlex
Susan J. Gregoroff, Robert S. McKelvie, Sylvia Szabo

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLeadership in Health Services · 2004
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsHamilton Health SciencesHamilton General Hospital
Fundersnot available
KeywordsMedicineHeart failureOutpatient clinicEmergency medicineOutpatient visitsCohortAmbulatory careSample size determinationMedical emergencyIntensive care medicineHealth careInternal medicine

Abstract

fetched live from OpenAlex

This study of 216 congestive heart failure (CHF) patients at a large teaching hospital in south-central Ontario was undertaken to determine whether the patients managed in an outpatient heart failure clinic used fewer hospital resources (as expressed in number of admissions, complexity of admission, and length of stay (LOS)) than a matched cohort who were not managed in an outpatient clinic. Statistical significance of LOS opportunities could not be demonstrated (owing to sample size), however, the heart failure clinic is making a positive impact on all types of admissions (CHF and non-CHF) in terms of LOS and suggests that management in an outpatient setting for chronic disease states is important for acute care hospitals to consider.

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.

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 score0.123
Threshold uncertainty score0.524

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 head0.065
GPT teacher head0.365
Teacher spread0.300 · 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