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Clinician use of the Statin Choice Shared Decision-making Encounter Tool in a Major Health System.
Martinez, Kathryn A; Montori, Victor M; Rodriguez, Fatima; Tereshchenko, Larisa G; Kovach, Jeffrey D; Hurwitz, Heather McKee; Rothberg, Michael B.
Afiliação
  • 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.
  • Kovach JD; Department of Cardiovascular Medicine, Heart, Vascular & Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Hurwitz HM; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Rothberg MB; Cleveland Clinic Taussig Cancer Center, Cleveland, OH, USA.
J Gen Intern Med ; 39(9): 1583-1589, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38191974
ABSTRACT

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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inibidores de Hidroximetilglutaril-CoA Redutases / Tomada de Decisão Compartilhada Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Gen Intern Med Assunto da revista: MEDICINA INTERNA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inibidores de Hidroximetilglutaril-CoA Redutases / Tomada de Decisão Compartilhada Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Gen Intern Med Assunto da revista: MEDICINA INTERNA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos