Clinician use of the Statin Choice Shared Decision-making Encounter Tool in a Major Health System.
Autor: | Martinez KA; Cleveland Clinic Center for Value-Based Care Research, Cleveland, OH, USA. martink12@ccf.org., Montori VM; Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN, USA., Rodriguez F; Division of Cardiovascular Medicine and the Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA., Tereshchenko LG; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.; Department of Cardiovascular Medicine, Heart, Vascular & Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA., Kovach JD; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA., Hurwitz HM; Cleveland Clinic Taussig Cancer Center, Cleveland, OH, USA., Rothberg MB; Cleveland Clinic Center for Value-Based Care Research, Cleveland, OH, USA. |
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Jazyk: | angličtina |
Zdroj: | Journal of general internal medicine [J Gen Intern Med] 2024 Jul; Vol. 39 (9), pp. 1583-1589. Date of Electronic Publication: 2024 Jan 08. |
DOI: | 10.1007/s11606-023-08597-3 |
Abstrakt: | Background: Effective shared decision-making (SDM) tools for use during clinical encounters are available, but, outside of study settings, little is known about clinician use of these tools in practice. Objective: To describe real-world use of an SDM encounter tool for statin prescribing, Statin Choice, embedded into the workflow of an electronic health record. Design: Cross-sectional study. Participants: Clinicians and their statin-eligible patients who had outpatient encounters between January 2020 and June 2021 in Cleveland Clinic Health System. Main Measures: Clinician use of Statin Choice was recorded within the Epic record system. We categorized each patient's 10-year atherosclerotic cardiovascular disease risk into low (< 5%), borderline (5-7.5%), intermediate (7.5-20%), and high (≥ 20%). Other patient factors included age, sex, insurance, and race. We used mixed effects logistic regression to assess the odds of using Statin Choice for statin-eligible patients, accounting for clustering by clinician and site. We generated a residual intraclass correlation coefficient (ICC) to characterize the impact of the clinician on Statin Choice use. Key Results: Statin Choice was used in 7% of 68,505 eligible patients. Of 1047 clinicians, 48% used Statin Choice with ≥ 1 patient, and these clinicians used it with a median 9% of their patients (interquartile range: 3-22%). In the mixed effects logistic regression model, patient age (adjusted OR per year: 1.04; 95%CI 1.03-1.04) and 10-year ASVCD risk (aOR for 5-7.5% versus < 5% risk: 1.28; 95%CI: 1.14-1.44) were associated with use of Statin Choice. Black versus White race was associated with a lower odds of Statin Choice use (aOR: 0.83; 95%CI: 0.73-0.95), as was female versus male sex (aOR: 0.83; 95%CI: 0.76-0.90). The model ICC demonstrated that 53% of the variation in use of Statin Choice was clinician-driven. Conclusions: Patient factors, including race and sex, were associated with clinician use of Statin Choice; half the variation in use was attributable to individual clinicians. (© 2024. The Author(s), under exclusive licence to Society of General Internal Medicine.) |
Databáze: | MEDLINE |
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