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Effects of the Characteristics of Teaching on the Outcomes of Heart Failure Patient Education Interventions: A Systematic Review

2009· review· en· W2119172581 on OpenAlexaff
Suzanne Fredericks, Heather Beanlands, Karen Spalding, Monica Da Silva

Bibliographic record

VenueEuropean Journal of Cardiovascular Nursing · 2009
Typereview
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMedicineHeart failurePsychological interventionIntensive care medicineNursingCardiology

Abstract

fetched live from OpenAlex

BACKGROUND: Limited research has examined the specific approach, mode of delivery, and dose of educational interventions. Yet such knowledge is essential to develop effective heart failure educational interventions. AIMS AND METHODS: The intent of this systematic review was to determine what approach, mode, and dose is most effective in producing changes in heart failure patient education. The sample included 69 studies involving 1865 study participants. RESULTS: Findings indicate the most effective means for delivery heart failure patient education is through the individualization of content, the use of combined mediums for delivery, provision of education on a one-on-one basis, and in multiple sessions. CONCLUSION: These results highlight the need to redesign current heart failure patient education initiatives to enhance patient outcomes.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.421
Threshold uncertainty score0.691

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.007
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 head0.021
GPT teacher head0.307
Teacher spread0.286 · 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 designSystematic review
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

Citations66
Published2009
Admission routes1
Has abstractyes

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