NSF CHOT IUCRC PROGRESS REPORT – PROJECT # 14 Practice Variance: Outcome-Driven Process Redesign & Systems Optimization: II. Practice Variance at Epidural Processes Research team Eva K Lee, Haozheng Tian, David Little, Jr., Jinha Lee, Raghav Srinath, Will Lewis, Cody Wang, Georgia Tech Description Practice variance is an important issue to analyze as a means to optimize care delivery (quality and efficiency) and to encourage collaborative learning for broad quality improvement. The project focuses on epidural procedure for labor delivery. Epidural anesthesia is used to improve pain relief in a variety of lower abdominal and lower extremity surgeries, including cesarean and labor deliveries. While epidural analgesia is used in hospitals across the country to assist in deliveries, there is significant inter and intrafacility practice variance. Our objective is to quantify needle-based epidural strategies: focusing on effectiveness vs efficiency vs outcome vs patient satisfaction. In particular, we seek to understand and optimize medication resource usage (dose, duration vs patient response and outcome); develop metrics to measure outcome (quality vs patient satisfaction, initial process vs final outcome); identify best practice, and potentially develop clinical practice guidelines. We aim to capture the variance and establish evidence-based outcome documentation. How is this different than related research? General practice for injecting anesthesia applies medication primarily through the catheter. Little is known or published regarding needle-based approach. Dosage, efficacy and safety have not been documented. This study aims to provide evidence that needle-based epidural practice is safe; and that patients can achieve proper sensory level within the same duration as in the catheterbased approach. We will analyze the proficiency of physician practice, and provide insights on their preference in terms of medication and dosage. Milestones achieved to date We have thus far: Performed on-site observation and documentation of practice and variance among 41 providers. A total of 412 patient cases were collected. Established preliminary process maps and annotated practice variance among providers. Analyzed patient sensory response versus medication, dosage, providers, and varying care practice. Analyzed providers’ preference and outcome response. Identified practice variance among providers. Identified potential error-causing factors. Performed patient-dose sensory response analysis Completed process maps for epidural procedures Designed decision-simulation model to analyze practice reliability to determine best practice. Reported needle-based findings to practitioners and prioritized recommendations. Next Steps Prepare first journal article for public dissemination. Capture and document practice and variance in C-section and vaginal birth. Contrast outcome against hospital resources and patient satisfactory Collaboratively design clinical practice guideline for optimal needle-based epidural practice. Potential member benefits Establish dose response factors and practice characteristics Improve quality of care, and reduce potential complications Provide documentation and evidence of needle-based epidural practice Facilitate development and standardization of best practice clinical guidelines Facilitate evidence-based practice