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Assessment of different intervention models to decrease no-show rates of embedded pharmacy visits.
Lyric Chaplin1, Patrick Gregory1, Benjamin Smith1
1PGY-2 Ambulatory Care Pharmacy Resident.
Journal of the American Pharmacists Association : Japha
|February 26, 2025
Summary
Two interventions aimed to reduce patient no-shows for clinical pharmacist appointments. While numerically lower no-show rates were observed, the differences were not statistically significant, requiring further study.
Area of Science:
- Health Services Research
- Clinical Pharmacy Practice
- Patient Access to Care
Background:
- Clinical pharmacist practitioners (CPPs) are integrated into Duke Primary Care (DPC) clinics, managing medications and labs under physician supervision.
- Patient no-shows for CPP appointments incur significant costs for DPC clinics.
- Understanding and mitigating patient no-shows is crucial for clinic efficiency and patient care.
Purpose of the Study:
- To evaluate the impact of two interventions on patient no-show rates for embedded clinical pharmacist practitioner appointments.
- To identify potential patient-related barriers contributing to missed appointments.
Main Methods:
- A single-center, prospective intervention study was conducted from September to November 2023.
- Interventions included sending patient portal reminders and converting late in-person visits to virtual appointments.
- No-show rates were compared to a control group from the previous year using a chi-square test.
Main Results:
- A total of 1645 appointments were analyzed.
- No-show rates were 20.4% (control), 18.0% (reminder), and 15.7% (virtual conversion).
- Intervention groups showed numerically lower daily financial losses due to no-shows compared to the control.
Conclusions:
- Both interventions resulted in numerically lower no-show rates, but the reductions were not statistically significant.
- Specific patient barriers associated with no-shows could not be identified.
- Further research is needed to assess the impact and long-term feasibility of these interventions in clinic workflows.
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