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Record W2137395736 · doi:10.1177/0193945913490081

Educational Intervention Reduces Complications and Rehospitalizations After Heart Surgery

2013· article· en· W2137395736 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueWestern Journal of Nursing Research · 2013
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsUniversity of TorontoToronto Metropolitan University
FundersCanadian Institutes of Health Research
KeywordsMedicineRandomized controlled trialIntervention (counseling)Hospital dischargeEmergency medicineHospital readmissionPatient educationIntensive care medicinePhysical therapyFamily medicineNursingSurgery

Abstract

fetched live from OpenAlex

The effectiveness of in-hospital self-care patient education, delivered to patients following heart surgery, is questionable, as evidence indicates individuals are not able to absorb and/or retain information at this time. In the absence of adequate instruction, individuals will not have the relevant information to engage in specific self-care behaviors, resulting in the onset of complications and/or hospital readmissions. The purpose of this pilot study was to collect preliminary evidence to demonstrate the impact of an individualized education intervention given above and beyond usual care, delivered, at two points in time, following hospital discharge. A randomized controlled trial was used in which 34 patients were randomly assigned to one of two groups. Chi-square analyses to examine differences between groups on complications and hospital readmission rates were conducted. Findings point to the impact of the intervention in reducing the number of hospital readmissions and complications at 3 months following hospital discharge.

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)0.001
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 score0.254
Threshold uncertainty score0.203

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.101
GPT teacher head0.444
Teacher spread0.343 · 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