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Record W2512492546 · doi:10.1001/jamacardio.2016.2232

Effect of Educational Intervention on the Rate of Rarely Appropriate Outpatient Echocardiograms Ordered by Attending Academic Cardiologists

2016· article· en· W2512492546 on OpenAlexaff
David M. Dudzinski, R. Sacha Bhatia, Michael Mi, Eric M. Isselbacher, Michael H. Picard, Rory B. Weiner

Bibliographic record

VenueJAMA Cardiology · 2016
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsWomen's College Hospital
Fundersnot available
KeywordsMedicineIntervention (counseling)Emergency medicineFamily medicineMEDLINEPediatricsInternal medicineCardiologyNursing

Abstract

fetched live from OpenAlex

Importance: Appropriate use criteria-based educational initiatives have been shown to improve transthoracic echocardiography (TTE) ordering practices of physicians in training. Whether such an intervention is successful with attending cardiologists remains unknown. Objective: To prospectively investigate the effect of an appropriate use criteria-based educational intervention on ordering of outpatient TTEs by attending academic cardiologists. Design, Setting, and Participants: We conducted a prospective, randomized clinical trial of an educational intervention designed to reduce the number of outpatient TTEs that were deemed to be rarely appropriate by published appropriate use criteria. Investigators classifying TTEs were blinded to participant groupings. The study was conducted within the cardiology division at the Massachusetts General Hospital, an academic quaternary care hospital. Staff members of the cardiology division were included; 66 cardiologists were randomized. The study was conducted from November 19, 2013, to June 1, 2014. An analysis of the evaluable population was performed. Interventions: The appropriate use criteria-based educational intervention consisted of a review lecture and electronic information card, as well as monthly individual physician feedback via email. The email described the percentage of rarely appropriate TTEs as well as the appropriate use criteria rationale for classifying studies as rarely appropriate. Main Outcomes and Measures: We hypothesized a priori that the educational intervention would reduce the number of rarely appropriate TTEs. The primary outcome was the rate of rarely appropriate TTEs. Results: Of the 66 cardiologists enrolled in the study, 65 were included in the analysis (1 intervention cardiologist retired from practice during the study). The participants' mean (SD) age was 50.6 (10.5) years; 48 (73%) were men. Following intervention, the proportion of rarely appropriate TTEs was significantly lower in the intervention vs control group (143 of 1359 [10.5%] vs 285 of 1728 [16.5%]; odds ratio [OR], 0.59 [95% CI, 0.39-0.88]; P = .01), and there was a nonsignificant increase in the proportion of appropriate TTEs in the intervention vs control group (1054 [77.6%] vs 1244 [72.0%]; OR, 1.38 [95% CI, 0.93-2.05]; P = .11). The most common of the 428 rarely appropriate indications were routine surveillance within 3 years after prosthetic valve insertion (73 [17.1%]), routine surveillance within 1 year for moderate or severe valvular stenosis (64 [15.0%]), and routine surveillance of cardiomyopathy (45 [10.5%]) or ventricular function (36 [8.4%]). Conclusions and Relevance: An appropriate use criteria-based educational and feedback intervention reduced the number of rarely appropriate TTEs ordered by attending academic cardiologists. This strategy may be feasible to improve TTE utilization among cardiologists, and this type of intervention warrants study in other practice environments. Trial Registration: clinicalrials.gov Identifier: NCT01968642.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.106
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.025
GPT teacher head0.345
Teacher spread0.320 · 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

Citations32
Published2016
Admission routes1
Has abstractyes

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