Implementation and evaluation of pharmacist-led heart failure diagnostic and guideline directed medication therapies clinic.

Background: Timely diagnosis of heart failure (HF) and rapid optimisation of guideline-directed medication therapy (GDMT) improves patients qualities of life, reducing mortality and morbidity. Previous papers describe the role of pharmacists in medication optimisation, but not in the diagnosis of HF.

Aim: To describe the development, implementation, and evaluation of pharmacist-led heart failure clinics with respect to time from referral to diagnosis, time from diagnosis to first review with a specialist, and the proportion receiving optimal GDMT 180 days after diagnosis.

Setting: Community outpatient clinics in rural west Wales, United Kingdom.

Development: Two experienced non-medical prescribing pharmacists, one of whom had additional diagnostic qualifications in cardiology, delivered the clinic.

Implementation: Patients referred with suspected HF were risk-stratified to urgent (within 14 days of referral) or routine (within 42 days) review, based on natriuretic peptide levels. Patients attended the clinic for assessment, including physical examination, electrocardiogram, and echocardiogram. Those with HF with reduced ejection fraction were initiated on drug treatment and referred to the follow-up pharmacist-led GDMT clinic.

Evaluation: A sample of 100 patients was evaluated (50 from pre-existing and 50 from new service). Median time from referral to diagnosis reduced from 61 days (IQR 47-115) to 16 days (IQR 10.5-27.5) for urgent and 19 days (IQR 11.5-33) for routine. Median time to first appointment following diagnosis reduced from 54 days (IQR 36-60.5) to 14 days (IQR 9.75-28.75) (p value < 0.0001), and proportion of patients achieving GDMT at 180 days following diagnosis improved from 24 to 86% (p value < 0.0001).

Conclusion: This pharmacist HF diagnostic clinic and medication optimisation clinic improved time to diagnosis, time to first specialist review, and proportion of patients' achieving GDMT optimisation in a rural healthcare setting.