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Am J Health Syst Pharm ; 80(1): e23-e28, 2023 01 01.
Article in English | MEDLINE | ID: mdl-36165085

ABSTRACT

PURPOSE: Chronic disease state management utilizing pharmacists improves quality metrics, allows providers to focus on acute issues, and decreases physician burnout risk. Minimal data exist on pharmacist panel size and its impact. This study aimed to determine appropriate pharmacist panel size based on workload, quality metrics, and patient access. METHODS: This study was a retrospective, multiclinic cohort analysis of patients with diabetes managed by pharmacists at 7 outpatient clinics. The primary objective calculated panel size per full-time equivalent (FTE) utilizing the National Health Interview Survey. Secondary objectives calculated the ideal FTE based on provider to pharmacist ratio and determined the impact of pharmacist panel size on patient access and quality metrics. RESULTS: A total of 4,399 patients were analyzed from 2017 through 2019, with age (range, 57.4 to 62.6 years), sex (52.5% to 63.5% female), race (41.2% to 93.7% African American), insurance type (13.3% to 41% Medicaid), and mean number of medications (13.1 to 20.3) significantly different between sites. Primary outcome results showed that actual panel sizes were less than calculated. However, secondary outcomes indicated that each site was understaffed (actual 0.2 to 0.5 FTE vs calculated 2.52 to 7.34 FTEs) and overbooked (95% to 122% capacity, 17 to 54.2 days for time to third next available appointment). Patients met the composite quality metric 35.1% to 56.3% of the time across sites. CONCLUSION: This study supports the use of patient access data to determine appropriate pharmacist panel size. Utilizing provider panel size to pharmacist ratio and time to third next available appointment is preferable for determining appropriate pharmacist panel size. Further research is needed to evaluate return times to help determine an ideal pharmacist panel size.


Subject(s)
Benchmarking , Pharmacists , Humans , Female , Middle Aged , Male , Retrospective Studies , Ambulatory Care/methods , Primary Health Care
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