Key result
EHR-embedded echo nudge linked to ~62% higher odds of specialty referral for severe AS.
Why the study?
Undertreatment and referral delays for severe aortic stenosis remain common, especially under noncardiac providers, and EHR-based nudges have not been widely evaluated in valvular heart disease.
Does an automated EHR-embedded nudge improve referral to cardiac specialty care in patients with newly diagnosed severe aortic stenosis?
Cohort (n=5,009)
Yes
Does an automated EHR-embedded nudge improve referral to cardiac specialty care in patients with newly diagnosed severe aortic stenosis?
Odds Ratio: 1.62 (95% CI 1.15–2.3)
Absolute Event Rate: 97% vs 94%
p-value: p=0.006
An automated EHR-embedded nudge in echocardiography reports significantly increased referrals to cardiac specialty care and subsequent aortic valve replacement for patients with newly diagnosed severe aortic stenosis.
Nudge-associated referral gains in severe AS warrant prospective RCTs; leaves open scalable EHR implementation pending randomized confirmation.
BACKGROUND: Undertreatment of severe aortic stenosis (AS) including absence and delays in referral to cardiac specialty care remains common, particularly when patients are followed by noncardiac specialty providers. Electronic health record (EHR)-based nudges improve adherence to treatment but have not been widely evaluated in valvular heart disease. METHODS: In this multicenter study across 3 diverse US health systems, an automated, noninterruptive EHR-embedded nudge was implemented within the echocardiography report of patients with a first diagnosis (index echo) of severe AS. The study primarily targeted patients whose index echo was ordered by noncardiac specialty providers. The primary end point was referral to a cardiac specialist within 90 days. Secondary endpoints were a composite of completed cardiac specialty visit or aortic valve replacement (AVR) within 90 days, and AVR within 6 months. Analyses compared pre- and post-nudge cohorts using propensity score matching and multivariable logistic regression models. A difference-in-difference analysis was conducted to evaluate whether the nudge's effect differed by referring provider specialty (cardiac vs noncardiac). RESULTS: A total of 5,009 patients (mean age, 78 ± 11 years; 57% men, 88% White, 69% symptomatic) were identified. After propensity score matching (total n = 3,840; prenudge: 2,560 patients; postnudge: 1,280 patients), referral to cardiac specialty care increased from 94% prenudge to 97% postnudge (P < .001), and the composite outcome improved from 89% to 93% postnudge (P = .003). Among noncardiac specialty providers, all 3 outcomes of referral (89% to 96%, P < .001), composite outcome (83% to 88%, P = .017), and AVR within 6 months were higher postnudge (33% to 39%, P = .016). In the multivariable logistic regression model of the full cohort, the nudge was independently associated with higher odds of referral (adjusted odds ratio = 1.62; 95% CI, 1.15-2.30; P = .006) and composite outcome (adjusted odds ratio = 1.40; 95% CI, 1.10-1.79; P = .007), with a significant interaction indicating that the effect was most pronounced among noncardiac specialty providers (P < .001). CONCLUSION: A noninterruptive, scalable, EHR-embedded nudge within echocardiography reports improved referral to cardiac specialty care and treatment in patients with newly diagnosed severe AS, particularly among noncardiac specialty providers. These findings support the role of noninterruptive, automated nudges in standardizing guidelines-based care in severe AS.
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Vakilpour et al. (2026) conducted a cohort in severe aortic stenosis (n=5,009). automated, noninterruptive EHR-embedded nudge within echocardiography reports vs. prenudge cohort was evaluated on referral to a cardiac specialist within 90 days (OR 1.62, 95% CI 1.15-2.30, p=0.006). An EHR-embedded nudge within echocardiography reports increased 90-day referral to cardiac specialty care for severe aortic stenosis (97% vs 94%; adjusted OR 1.62, 95% CI 1.15-2.30, P=0.006).
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