A Technology-Assisted Web Application for Consumer Access to a Nonprescription Statin Medication

BACKGROUND Although statins reduce adverse cardiovascular outcomes, less than half of eligible patients receive treatment. A nonprescription statin has the potential to improve access to statins. OBJECTIVES To assess concordance between clinician and consumer assessment of eligibility for nonprescription statin treatment using a Technology Assisted Self-Selection (TASS) Web Application (Web App) and evaluate effect on low-density lipoprotein cholesterol (LDL-C) levels. METHODS A prospective actual use 6-month study to evaluate use of a Web App to qualify participants without a medical background for a moderate intensity statin based on current guidelines. Participants entered demographic information, cholesterol values, blood pressure and concomitant medications into the Web App, resulting in three possible outcomes- “Do Not Use,” “Ask a Doctor” or “OK to Use”. RESULTS The study included 1196 participants, median age 63 (IQR, 57-68), 39.6% women, 79.3% White, 11.7% Black, and 4.1% with limited literacy. Mean LDL-C was 139.6 mg/dL (SD, 28.3) and median calculated 10-year risk of atherosclerotic cardiovascular disease was 10.1% (IQR, 7.3-14.0). Initial Web App self-selection resulted in an outcome concordant with clinician assessment in 90.7% (95% CI, 88.9-92.3) of participants and 98.1% (95% CI, 97.1-98.8) had a concordant final use outcome during treatment. Mean percent change in LDL-C was -35.5% (95% CI, -36.6 to -34.3). Serious adverse events occurred in 27 (2.3%) participants, none related to study drug. CONCLUSIONS In this actual use study, a technology assisted Web App allowed >90% of consumers to correctly self-select for statin use and achieve clinically important LDL-C reductions.