Implementation of an Enhanced Recovery Protocol (ERP) is associated with an increase in the perioperative use of non-opioid multimodal analgesia for non-ERP patients.

STUDY OBJECTIVE: Incorporation of multimodal, non-opioid analgesic medications into patient care pathways has become a common theme of enhanced recovery pathways (ERPs), which have been shown to improve patient outcomes such as complication rates and length of stay. With surgical care episodes, patients also incur a significant risk of persistent postoperative opioid use, whether the surgery is classified as major or minor surgery. One method that has been shown to reduce perioperative opioid administration is a structured non-opioid multimodal analgesic strategy, widely utilized in ERPs. Despite well-defined benefits, the time to translate evidence-based approaches into clinical practice can be prolonged. This study examines the effect of implementation of an Enhanced Recovery Protocol (ERP) on the adoption of intraoperative multimodal analgesia outside of the auspices of an ERP care pathway, describing factors influencing the clinical implementation of non-opioid multimodal analgesia (NOMA) in routine practice. DESIGN: Retrospective cohort analysis. SETTING: We identified all surgical cases between January 2013 and December 2016 at Vanderbilt University Medical Center (VUMC). INTERVENTIONS: None. MEASUREMENTS: Using both segmented and logistic regression approaches, we compared non-ERP surgical cases before and after the initial ERP education and implementation in April 2014. Outcomes included provider, patient, and procedural factors associated with utilization of non-opioid multimodal analgesia (NOMA) in the immediate perioperative period. MAIN RESULTS: We studied 73,560 non-ERP cases. Cases utilizing any element of NOMA increased from 17.06% to 35.21% (X2 = 2358, df = 1, p < 0.01) before and after the initial ERP pathway implementation. Patient factors influencing this increased adoption of multimodal analgesia included lower American Society of Anesthesiologists Physical Status Class, younger age, and Caucasian race. Cases with in-room providers who were residents or trainees (as opposed to nurse anesthetists) or providers who had a greater number of prior ERP pathway cases were more likely to use multimodal. Procedure-specific factors favoring multimodal included use of laparoscopy. The gynecologic, neurosurgical, and orthopedic cases were more likely to utilize multimodal analgesics. CONCLUSIONS: From 2013 to 2016, NOMA usage in non-ERP patients increased significantly and in association with departmental education and concomitant implementation of an ERP pathway. Factors associated with increased uptake of multimodal analgesia included the presence of trainees, providers with a higher number of previous ERP pathway cases, patients who were younger, healthier, female, Caucasian race, and having specific types of surgery.

Decision Support Tool Improves Real and Perceived Anesthesiology Resident Relief Equity.

BACKGROUND: The Accreditation Council of Graduate Medical Education requires monitoring of resident clinical and educational hours but does not require tracking daily work patterns or duty hour equity. Lack of such monitoring may allow for inequity that affects resident morale. No defined system for resident relief of weekday operating room (OR) clinical duties existed at our institution, leaving on-call residents to independently decide daily relief order. We developed an automated decision support tool (DST) to improve equitable decision making for clinical relief and assessed its impact on real and perceived relief equity. METHODS: The DST sent a daily e-mail to the senior resident responsible for relief decisions. It contained a prioritized relief list of noncall residents who worked in the OR beyond 5 PM the prior clinical day. We assessed actual relief equity using the number of times a resident worked in the OR past 5:30 PM on 2 consecutive weekdays as our outcome, adjusting for the mean number of open ORs each day between 5:00 PM and 6:59 PM in our main OR areas. We analyzed 14 months of data before implementation and 16 months of data after implementation. We assessed perceived relief equity before and after implementation using a questionnaire. RESULTS: After implementing the DST, the percentage of residents held 2 consecutive weekdays over the total of resident days worked decreased from 1.33% to 0.43%. The percentage of residents held beyond 5:30 PM on any given day decreased from 18.09% to 12.64%. Segmented regression analysis indicated that implementation of the DST was associated with a reduction in biweekly time series of residents kept late 2 days in a row, independent of the mean number of ORs in use. Surveyed residents reported the DST aided their ability to make equitable relief decisions (pre 60% versus post 94%; P = .0003). Eighty-five percent of residents strongly agreed that a prioritized relief list based on prior day work hours after 5 PM aided their decision making. After implementation, residents reported fewer instances of working past 5 PM within the past month (P < .005). CONCLUSIONS: A DST systematizing the relief process for anesthesiology residents was associated with a lower frequency of residents working beyond 5:30 PM in the OR on 2 consecutive days. The DST improved the perceived ability to make equitable relief decisions by on-call senior residents and residents being relieved. Success with this tool allows for broader applications in resident education, enabling enhanced monitoring of resident experiences and support for OR assignment decisions.