Abstract P367: Automated Outreach to Improve Statin Initiation and Follow-Up of Lipid Panels Among Patients With High LDL-C

Autor: Matthew T Mefford, Hui Zhou, Mengnan Zhou, Hananeh Derakhshan, Teresa N Harrison, Mara Rojas, Michael H Kanter, Ronald D Scott, Tracy Imley, Mark Sanders, Royann Timmins, Kristi Reynolds
Rok vydání: 2023
Předmět:
Zdroj: Circulation. 147
ISSN: 1524-4539
0009-7322
DOI: 10.1161/circ.147.suppl_1.p367
Popis: Background: Despite their effectiveness in reducing low-density lipoprotein-cholesterol (LDL-C) and cardiovascular disease (CVD) risk, high-intensity statins are underutilized among patients with LDL-C ≥ 190 mg/dL. We aimed to determine if a patient outreach program (KP Sure Net) automating high-intensity statin orders and lipid panels improved statin initiation and lab completions. Methods: Kaiser Permanente Southern California adults 20-60 years of age with LDL-C ≥ 190 mg/dL and no recent statin use were compared pre- (January 2016-September 2018, n=3,534) and post- (April 2019-July 2021, n=3,555) program implementation to examine statin prescriptions and fills, lab completions, and improved LDL-C ( Results: Among adults identified during pre- and post-implementation, 759 (21.5%) and 976 (27.5%), respectively, received a statin prescription. Adults with a prescription post- versus pre-implementation were more likely to be younger, identify as Black or Asian ethnicity, be English-speaking and have higher income, but were similar by sex, education, insurance, and comorbidity burden. (Table) After multivariable adjustment, adults post- versus pre-implementation had a higher likelihood of receiving a statin prescription (RR 1.36, 95% CI 1.25, 1.48), filling their statin (RR 1.32, 95% CI 1.26, 1.38), completing their lipid panel (RR 1.60, 95% CI 1.44, 1.78), and improving LDL-C (RR 1.36, 95% CI 1.20, 1.53). Conclusion: Automating statin orders and lipid panels for high-risk adults improved prescription rates, fills and LDL-C. Understanding facilitators and barriers to adherence is an important next step in improving patients’ health.
Databáze: OpenAIRE
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