Why the study?
Undertreatment of hypercholesterolemia and hypertension remains a persistent challenge, with 30% to 50% of patients not receiving optimal medical treatment despite established guideline-directed therapies.
Does a remote, algorithmically driven disease management program using navigators and pharmacists improve the achievement of LDL-C and blood pressure targets in patients with uncontrolled hypercholesterolemia and/or hypertension?
Observational (n=5,000)
Yes
Does a remote, algorithmically driven disease management program using navigators and pharmacists improve the achievement of LDL-C and blood pressure targets in patients with uncontrolled hypercholesterolemia and/or hypertension?
A remote, algorithmically driven disease management program utilizing pharmacists and navigators was designed and implemented to address the undertreatment of hypercholesterolemia and hypertension.
Answers are grounded in this paper and cite their sources.
Supports adoption of remote navigator-pharmacist programs for LDL-C and BP control; extends evidence for algorithm-driven digital management in high-risk patients.
cholesterol hypertension risk U ndertreatment of hypercholesterolemia and hypertension (HTN) remains a persistent clinical challenge, even among patients at high cardiovascular risk. Approximately 30% to 50% of patients do not receive optimal medical treatment, even though most of these treatments are generic, established, are guideline-directed, and cost effective. 1,2 We designed and are actively implementing a remote, algorithmically driven, disease management program that uses navigators and pharmacists, supported by specialists, to initiate and titrate medications within the Mass General Brigham health system. We enrolled patients with uncontrolled low-density lipoprotein cholesterol (LDL-C) and/or blood pressure identified through medical record screening or direct referrals not meeting current guideline-directed therapeutic targets. Patients in the lipid program were categorized according to current guideline-specificied 3 hierarchical groups-established atherosclerotic cardiovascular disease, diabetes, severe hypercholesterolemia (LDL-C >190 mg/dL), or high-risk primary prevention-to determine treatment thresholds. Blood pressure was measured with digitally connected home blood pressure cuffs. Following guideline-recommended clinical algorithms, pharmacists (prescribing under collaborative drug therapy management programs) initiated and titrated medications. The supervising physician was readily available for additional clinical management. Nonlicensed navigators were the primary communication channel with patients, ordering laboratory tests and providing education at preset intervals until treatment targets (LDL-C guideline-directed thresholds 3 and average home blood pressure <130/80 mm Hg) were achieved. Primary care physicians were notified of identified patients and could defer patient enrollment. Clinical staff were supported by a custom-built software program (CardioCompass) external to the electronic health record that provided decision support, patientrelationship management and communication tools (eg, texting). 4,5 No in-person visits were required. The project was approved by our institutional review committee with a waiver for informed consent. We encourage investigators interested in data sharing and collaboration to contact the corresponding author.
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Scirica et al. (2020) conducted an observational in Uncontrolled hypercholesterolemia and hypertension (n=5,000). Remote, algorithmically-driven disease management program vs. Baseline (No comparator group) was evaluated on Change in LDL-C from baseline in all enrolled patients (-24 mg/dL (18% reduction), p=<0.001). A remote, algorithmically-driven disease management program led by navigators and pharmacists significantly reduced LDL-C by 24 mg/dL and home blood pressure by 14/6 mmHg compared to baseline.
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