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This pilot service evaluated medical records of patients aged 60+ with high health care utilization and polypharmacy. Anticholinergic Risk Scale (ARS) scores were calculated, and medication therapy recommendations were sent electronically to primary care physicians for patients with ARS >3. Post-visit outcomes were recorded. The project was conducted at two medical clinics within Dean Health System using a standardized algorithm and decision support tools.
To determine primary care physician acceptance rates of electronic medication therapy recommendations based on anticholinergic burden for high-risk elderly patients, and to evaluate potential associations between recommendation acceptance and patient-provider characteristics.
Pharmacist-led electronic health record-based medication therapy recommendation service targeting anticholinergic burden.
Pharmacists
Patients aged 60+, with ≥3 hospitalizations or ED visits in the past year, ≥10 active medications, and upcoming PCP visit.
Physician acceptance rates of recommendations, changes in ARS scores, associations between patient/provider characteristics and acceptance.
Achieved high recommendation acceptance rates (50%) and significant reduction in anticholinergic burden (mean ARS change 1.3 ± 2.6; P = 0.0003).
High physician acceptance rates, effective use of EHR and decision support tools, scalable service design.
Limited to anticholinergic medications only; conducted at only two clinics; not powered to assess health outcomes.
The service used standardized algorithms and dose-adjustment tables. No significant associations were found between patient/provider characteristics and recommendation acceptance.