ArticleThe international journal of cardiovascular imaging2019
Addition of price transparency to an education and feedback intervention reduces utilization of inpatient echocardiography by resident physicians.
Article in The international journal of cardiovascular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Article
- Artificial Intelligence-Enabled Electrocardiography Predicts Left Ventricular Dysfunction and Future Cardiovascular Outcomes: A Retrospective Analysis.Journal of personalized medicine · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Previous studies have demonstrated the impact of appropriate use criteria (AUC) education and feedback interventions in reducing unnecessary ordering of transthoracic echocardiography (TTE) by trainees. To our knowledge, no study has evaluated the impact of the addition of price transparency to this education and feedback model on TTE utilization by resident physicians. We performed an education and feedback quality improvement initiative combining charge transparency data with information on AUC. We hypothesized that the initiative would reduce the number of complete TTE ordered and increase the number of limited TTE ordered, anticipating there would be substitution of limited for complete studies. Residents rotating on inpatient teaching cardiology ward teams received education on AUC for TTE, indications for limited TTE, and hospital charges for TTE. Feedback was provided on the quantity and charges for complete and limited TTE ordered by each team. We analyzed the effects of the intervention using a linear mixed effects regression model to adjust for potential confounders. The post-intervention weeks showed a reduction of 4.6 complete TTE orders per 100 patients from previous weekly baseline of 31.3 complete TTE orders per 100 patients (p value = 0.012). Charges for complete TTE decreased $122 from baseline of $980 per patient (p value = 0.040) on a per-week basis. Secondarily, there was no statistically significant change in limited TTE ordering during the intervention period. This initiative shows the feasibility of a house staff-driven charge transparency and education/feedback initiative that decreased medical residents' ordering of inpatient TTE.
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