Abstract: At our institution, we developed an individualized discharge opioid prescribing and tapering protocol for joint replacement patients and implemented the same protocol for neurosurgical spine patients. We then tested the hypothesis that this protocol will decrease the oral morphine milligram equivalent (MME) dose of opioid prescribed postdischarge after elective primary spine surgery. Methods In this retrospective cohort study, we identified all consecutive elective primary spine surgery cases 1 year before and after introduction of the protocol. This protocol used the patient’s prior 24-hour inpatient opioid consumption to determine discharge opioid pill count and tapering schedule. The primary outcome was total opioid dose prescribed in oral MME from discharge through 6 weeks. Secondary outcomes included in-hospital opioid consumption in MME, hospital length of stay, MME prescribed at discharge, opioid refills, and rates of minor and major adverse events. Results Eighty-three cases comprised the final sample (45 preintervention and 38 postintervention). There were no differences in baseline characteristics. The total oral MME (median (IQR)) from discharge through 6 weeks postoperatively was 900 (420–1440) preintervention compared with 300 (112–806) postintervention (p 〈 0.01, Mann-Whitney U test), and opioid refill rates were not different between groups. There were no differences in other outcomes. Conclusions This patient-specific prescribing and tapering protocol effectively decreases the total opioid dose prescribed for 6 weeks postdischarge after elective primary spine surgery. Our experience also demonstrates the potential generalizability of this protocol, which was originally designed for joint replacement patients, to other surgical populations.

Abstract: Opioid safety initiatives may secondarily impact opioid prescribing and pain outcomes for cancer care. Methods We reviewed electronic health record data at a tertiary Veterans Affairs system (VA Palo Alto) for all patients from 2015 to 2021. We collected outpatient Schedule II opioid prescriptions data and calculated morphine milligram equivalents (MMEs) using Centers for Disease Control and Prevention conversion formulas. To determine the clinical impact of changes in opioid prescription, we used the highest level of pain reported by each patient on the 0-to-10 Numeric Rating Scale in each year, categorized into mild (0-3), moderate (4-6), and severe (7 and above). Results Among 89 569 patients, 9073 had a cancer diagnosis. Cancer patients were almost twice as likely to have an opioid prescription compared with noncancer patients (69.0% vs 36.7%, respectively). The proportion of patients who received an opioid prescription decreased from 27.1% to 18.1% (trend P & lt; .01) in cancer patients and from 17.0% to 10.2% in noncancer patients (trend P & lt; .01). Cancer and noncancer patients had similar declines of MMEs per year between 2015 and 2019, but the decline was more rapid for cancer patients (1462.5 to 946.4, 35.3%) compared with noncancer patients (1315.6 to 927.7, 29.5%) from 2019 to 2021. During the study period, the proportion of noncancer patients who experienced severe pain was almost unchanged, whereas it increased among cancer patients, reaching a significantly higher rate than among noncancer patients in 2021 (31.9% vs 27.4%, P & lt; .01). Conclusions Our findings suggest potential unintended consequences for cancer care because of efforts to manage opioid-related risks.

Abstract: Public health and the medical specialty of anesthesiology have been closely intertwined throughout history, dating back to the 1800s when Dr. John Snow used contact tracing methods to identify the Broad Street Pump as the source of a cholera outbreak in London. During the COVID-19 pandemic, leaders in anesthesiology and anesthesia patient safety came forward to develop swift recommendations in the face of rapidly changing evidence to help protect patients and healthcare workers. While these high-profile examples may seem like uncommon events, there are many common modern-day public health issues that regularly intersect with anesthesiology and surgery. These include, but are not limited to, smoking; chronic opioid use and opioid use disorder; and obstructive sleep apnea. As an evolving medical specialty that encompasses pre- and postoperative care and acute and chronic pain management, anesthesiologists are uniquely positioned to improve patient care and outcomes and promote long-lasting behavioral changes to improve overall health. In this article, we make the case for advancing the role of the anesthesiologist beyond the original perioperative surgical home model into promoting public health initiatives within the perioperative period.

Abstract: BackgroundLong-term and sustainable clinical practice changes in anesthesia procedures have not previously been reported. Therefore, we performed a 5-year audit following implementation of a clinical pathway change favoring spinal anesthesia for total knee arthroplasty (TKA). We similarly evaluated a parallel cohort of patients undergoing total hip arthroplasty (THA), who did not undergo a clinical pathway change, and studied utilization rates of continuous peripheral nerve block (CPNB).MethodsWe identified all primary unilateral TKA and THA cases completed from January 2013 through December 2018, thereby including clinical pathway change data from one-year pre-implementation to 5-years post-implementation. Our primary outcome was the overall application rate of spinal anesthesia. Secondary outcomes included CPNB utilization rate, 30-day postoperative complications, and resource utilization variables such as hospital readmission, emergency department visits, and blood transfusions.ResultsThe sample included 1,859 cases, consisting of 1,250 TKAs and 609 THAs. During the initial year post-implementation, 174/221 (78.7%) TKAs received spinal anesthesia compared to 23/186 (12.4%) cases the year before implementation (P 〈 0.001). During the following 4-year period, 647/843 (77.2%) TKAs received spinal anesthesia (P = 0.532 vs. year 1). The number of THA cases receiving spinal anesthesia the year after implementation was 78/124 (62.9%), compared to 48/116 (41.4%) pre-implementation (P = 0.001); however, the rate decreased over the following 4-year period to 193/369 (52.3%) (P = 0.040 vs. year 1). CPNB use was high in both groups, and there were no differences in 30-day postoperative complications, hospital readmission, emergency department visits, or blood transfusions.ConclusionsA clinical pathway change promoting spinal anesthesia for TKA can be effectively implemented and sustained over a 5-year period.

Abstract: Background: Carpal tunnel release (CTR) can be performed with a variety of anesthesia techniques. General anesthesia is associated with higher risk profile and increased resource utilization, suggesting it should not be routinely used for CTR. The purpose of this study was to examine the patient factors associated with surgeons’ requests for general anesthesia for CTR and the frequency of routine use of general anesthesia by Veterans Health Administration (VHA) surgeons and facilities. Methods: National VHA data for fiscal years 2015 and 2017 were used to identify patients receiving CTR. Mixed-effects logistic regression was used to evaluate patient, procedure, and surgeon factors associated with requests by the surgeon for general anesthesia versus other anesthesia techniques. Results: In all, 18 145 patients underwent CTR performed by 780 surgeons in 113 VHA facilities. Overall, there were 2218 (12.2%) requests for general anesthesia. Although some patient (eg, older age, obesity), procedure (eg, open vs endoscopic), and surgeon (eg, higher volume) factors were associated with lower odds of requests for general anesthesia, there was substantial facility- and surgeon-level variability. The percentage of patients with general anesthesia requested ranged from 0% to 100% across surgeons. Three facilities and 28 surgeons who performed at least 5 CTRs requested general anesthesia for more than 75% of patients. Conclusions: Where CTR is performed and by whom appear to influence requests for general anesthesia more than patient factors in this study. Avoidance of routine use of general anesthesia for CTR should be considered in future clinical practice guidelines and quality measures.

Abstract: The impact of agonist dose and of physician, staff and patient engagement on treatment have not been evaluated together in an analysis of treatment for opioid use disorder. Our hypotheses were that greater agonist dose and therapeutic engagement would be associated with reduced illicit opiate use in a time-dependent manner. Publicly-available treatment data from six buprenorphine efficacy and safety trials from the Federally-supported Clinical Trials Network were used to derive treatment variables. Three novel predictors were constructed to capture the time weighted effects of buprenorphine dosage (mg buprenorphine per day), dosing protocol (whether physician could adjust dose), and clinic visits (whether patient attended clinic). We used time-in-trial as a predictor to account for the therapeutic benefits of treatment persistence. The outcome was illicit opiate use defined by self-report or urinalysis. Trial participants (N = 3022 patients with opioid dependence, mean age 36 years, 33% female, 14% Black, 16% Hispanic) were analyzed using a generalized linear mixed model. Treatment variables dose, Odds Ratio (OR) = 0.63 (95% Confidence Interval (95%CI) 0.59–0.67), dosing protocol, OR = 0.70 (95%CI 0.65–0.76), time-in-trial, OR = 0.75 (95%CI 0.71–0.80) and clinic visits, OR = 0.81 (95%CI 0.76–0.87) were significant (p-values 〈 0.001) protective factors. Treatment implications support higher doses of buprenorphine and greater engagement of patients with providers and clinic staff.

Abstract: Hospital-related factors associated with mortality and morbidity after hip fracture surgery are not completely understood. The Veterans Health Administration (VHA) is the largest single-payer, networked healthcare system in the country serving a relatively homogenous patient population with facilities that vary in size and resource availability. These characteristics provide some degree of financial and patient-level controls to explore the association, if any, between surgical volume and facility resource availability and hospital performance regarding postoperative complications after hip fracture surgery. Questions/purposes (1) Do VHA facilities with the highest complexity level designation (Level 1a) have a disproportionate number of better-than-expected performance outliers for major postoperative complications compared with lower-complexity level facilities? (2) Do VHA facilities with higher hip fracture surgical volume have a disproportionate number of better-than-expected performance outliers for major postoperative complications compared with lower-volume facilities? Methods We explored the Veterans Affairs Surgical Quality Improvement Project (VASQIP) database from October 2001 to September 2012 for records of hip fracture surgery performed. Data reliability of the VASQIP database has been previously validated. We excluded nine of the 98 VHA facilities for contributing fewer than 30 records. The remaining 89 VHA facilities provided 23,029 records. The VHA designates a complexity level to each facility based on multiple criteria. We labeled facilities with a complexity Level 1a (38 facilities)–the highest achievable VHA designated complexity level—as high complexity; we labeled all other complexity level designations as low complexity (51 facilities). Facility volume was divided into tertiles: high ( 〉 277 hip fracture procedures during the sampling frame), medium (204 to 277 procedures), and low ( 〈 204 procedures). The patient population treated by low-complexity facilities was older, had a higher prevalence of severe chronic obstructive pulmonary disease (26% versus 22%, p 〈 0.001), and had a higher percentage of patients having surgery within 2 days of hospital admission (83% versus 76%, p 〈 0.001). High-complexity facilities treated more patients with recent congestive heart failure exacerbation (4% versus 3%, p 〈 0.001). We defined major postoperative complications as having at least one of the following: death within 30 days of surgery, cardiac arrest requiring cardiopulmonary resuscitation, new q-wave myocardial infarction, deep vein thrombosis and/or pulmonary embolism, ventilator dependence for at least 48 hours after surgery, reintubation for respiratory or cardiac failure, acute renal failure requiring renal replacement therapy, progressive renal insufficiency with a rise in serum creatinine of at least 2 mg/dL from preoperative value, pneumonia, or surgical site infection. We used the observed-to-expected ratio (O/E ratio)—a risk-adjusted metric to classify facility performance—for major postoperative complications to assess the performance of VHA facilities. Outlier facilities with 95% confidence intervals (95% CI) for O/E ratio completely less than 1.0 were labeled “exceed expectation;” those that were completely greater than 1.0 were labeled “below expectation.” We compared differences in the distribution of outlier facilities between high and low-complexity facilities, and between high-, medium-, and low-volume facilities using Fisher’s exact test. Results We observed no association between facility complexity level and the distribution of outlier facilities (high-complexity: 5% exceeded expectation, 5% below expectation; low-complexity: 8% exceeded expectation, 2% below expectation; p = 0.742). Compared with high-complexity facilities, the adjusted odds ratio for major postoperative complications for low-complexity facilities was 0.85 (95% CI, 0.67–1.09; p = 0.108). We observed no association between facility volume and the distribution of outlier facilities: 3% exceeded expectation and 3% below expectation for high-volume; 10% exceeded expectation and 3% below expectation for medium-volume; and 7% exceeded expectation and 3% below expectation for low-volume; p = 0.890). The adjusted odds ratios for major postoperative complications were 0.87 (95% CI, 0.73–1.05) for low- versus high-volume facilities and 0.89 (95% CI, 0.79–1.02] for medium- versus high-volume facilities (p = 0.155). Conclusions These results do not support restricting facilities from treating hip fracture patients based on historical surgical volume or facility resource availability. Identification of consistent performance outliers may help health care organizations with multiple facilities determine allocation of services and identify characteristics and processes that determine outlier status in the interest of continued quality improvement. Level of Evidence Level III, therapeutic study.

Abstract: The Opioid Safety Initiative decreased high-dose prescriptions across the Veterans Health Administration. This study sought to examine the impact of this intervention (i.e., the Opioid Safety Initiative) on pain scores and opioid prescriptions in patients undergoing total knee arthroplasty. Methods This was an ecological study of group-level data among 700 to 850 patients per month over 72 consecutive months (January 2010 to December 2015). The authors examined characteristics of cohorts treated before versus after rollout of the Opioid Safety Initiative (October 2013). Each month, the authors aggregated at the group-level the differences between mean postoperative and preoperative pain scores for each patient (averaged over 6-month periods), and measured proportions of patients (per 1,000) with opioid (and nonopioid) prescriptions for more than 3 months in 6-month periods, preoperatively and postoperatively. The authors compared postintervention trends versus trends forecasted based on preintervention measures. Results After the Opioid Safety Initiative, patients were slightly older and sicker, but had lower mortality rates (postintervention n = 28,509 vs. preintervention n = 31,547). Postoperative pain scores were slightly higher and the decrease in opioid use was statistically significant, i.e., 871 (95% CI, 474 to 1,268) fewer patients with chronic postoperative prescriptions. In time series analyses, mean postoperative minus preoperative pain scores had increased from 0.65 to 0.81, by 0.16 points (95% CI, 0.05 to 0.27). Proportions of patients with chronic postoperative and chronic preoperative opioid prescriptions had declined by 20% (n = 3,355 vs. expected n = 4,226) and by 13% (n = 5,861 vs. expected n = 6,724), respectively. Nonopioid analgesia had increased. Sensitivity analyses confirmed all findings. Conclusions A system-wide initiative combining guideline dissemination with audit and feedback was effective in significantly decreasing opioid prescriptions in populations undergoing total knee arthroplasty, while minimally impacting pain scores.