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Frequency and Characteristics of Responders to an Educational Intervention to Reduce Inappropriate Heart Testing: A Sub-study of the Echo WISELY Trial

2021· article· en· W4200405678 on OpenAlexaff
João Ricardo Pinto Lopes, Cherry Chu, R. Sacha Bhatia, Luís Cláudio Lemos Correia

Bibliographic record

VenueARQUIVOS BRASILEIROS DE CARDIOLOGIA - IMAGEM CARDIOVASCULAR · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare cost, quality, practices
Canadian institutionsWomen's College Hospital
Fundersnot available
KeywordsMedicineRandomized controlled trialIntervention (counseling)SpecialtyGraduation (instrument)Test (biology)Physical therapyEcho (communications protocol)Statistical significanceFamily medicineEmergency medicineInternal medicineNursing

Abstract

fetched live from OpenAlex

Introduction:The Echo WISELY Trial is a controlled randomized multicenter investigator-blinded study that evaluated an educational intervention based on the criteria for appropriate use of echocardiography to reduce the proportion of rarely appropriate outpatient echocardiograms performed.Objective: To describe the prevalence and identify predictors of the responsiveness of responding physicians subjected to an educational intervention in the Echo WISELY Trial.Methods: The intervention group physicians received a multifaceted educational program.A responding physician was defined as one who had a >2.5% reduction in the proportional mean of rarely appropriate tests requested between the first trimester (baseline) and any of the following trimesters (second to sixth).Physician characteristics (sex, time since graduation, medical specialty, and workplace) were compared to the echocardiogram ratings (appropriate, maybe appropriate, and rarely appropriate) and clinical reasons for the requested echocardiograms using the chi-square test.Statistical significance was indicated by a two-tailed p < 0.05.Results: A total of 4,605 tests requested at the six participating hospitals in Ontario were analyzed and randomized for the intervention arm.Of the 36 included physicians, 26 (72%) were classified as responders.Of the variables analyzed, there was no significant difference in the outcomes of the responders versus non-responders to the educational intervention.The number of rarely appropriate tests requested by the responders was significantly lower than that of the non-responders (234 [8.67%] versus 261 [13.8%]; p < 0.0001). Conclusion:The prevalence of responder physicians was high, but predictors of responsiveness to educational intervention were not identified among the analyzed variables.This may be a result of the psychological aspects and personal characteristics of the physicians, which were not included in this research.

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)0.003
metaresearch head score (Gemma)0.011
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.387
GPT teacher head0.474
Teacher spread0.087 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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