Objective: Use an established quality improvement method, Lean A3, to improve the process of opioid prescribing in an academic rheumatology ambulatory clinic. Methods: This retrospective pre-postintervention analysis of rheumatology records included patients prescribed opioids at least once during the study period. Lean A3 was used to develop a Controlled Substance Visit Protocol to standardize eight recommended elements of the opioid prescribing workflow. Analyses included changes in the recommended workflow elements and changes in opioid prescribing volume. Results: Improvements were observed in seven of the eight recommended elements. Patient education, including treatment agreements and consent forms (39% completion for both preimplementation) increased to 78% and 80%, respectively (P < 0.001 for both). Risk assessment, as measured by the Current Opioid Misuse Measure, increased from 0.5% to 76% (P < 0.001). Best practices in prescribing, including prescribing in multiples of seven to avoid weekend refill requests, increased from 1% to 79% (P < 0.001). Monitoring parameters, including standardized functional assessment (0% vs. 86%), prescription drug monitoring program queries (49% vs. 84%), and urine testing (1% vs. 32%) all increased (P < 0.001). Visits scheduled at least quarterly for patients on chronic opioids did not change (P = 0.18). Overall, the number of patients prescribed opioids (185 vs. 160; P < 0.001) and annual prescription opioid morphine milligram equivalents (MMEs) (1 933 585 MME vs. 1 386 368 MME; P < 0.001) decreased. Conclusion: The Lean A3 method is a successful quality improvement tool for improving and sustaining opioid prescribing within a single academic rheumatology clinic. This method has potential applicability to similar clinics interested in improving opioid prescribing.
CITATION STYLE
van Eeghen, C., Edwards, M., Libman, B. S., MacLean, C. D., & Kennedy, A. G. (2019). Order From Chaos: An Initiative to Improve Opioid Prescribing in Rheumatology Using Lean A3. ACR Open Rheumatology, 1(9), 546–551. https://doi.org/10.1002/acr2.11078
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