Opioid Prescribing Variation After Laparoscopic Cholecystectomy in the US Military Health System.

INTRODUCTION: After laparoscopic cholecystectomy (LC), there is a wide variation in opioid prescription miligram morphine equivalent dose (MED) and refills across US medical institutions. Given wide variation and opioid prescription guidelines, it is essential to conduct thorough health services research across medical, surgical, and patient-level factors that can be implemented to improve system-wide prescribing practices. Therefore, this study describes discharge MED variation and opioid refill probability after emergent and nonemergent LC. MATERIALS AND METHODS: This retrospective cohort study included medical record data of adult patients (N = 20,025) undergoing LC from January 2016 to June 2021 in the US Military Health System. Data visualizations and bivariate analyses examined prescription patterns across hospitals and evaluated the relationship between patient-level, care-level, and system-level factors and each outcome: discharge MED and opioid refill probability. Two generalized additive mixed models evaluated the relationship between predictors and each outcome. RESULTS: There was a significant variation in opioid and nonopioid pain medication prescribing practices across hospitals. While several factors were associated with discharge MED and opioid refill probability, the strongest effects were related to time period (before versus after a June 2018 Defense Health Agency policy release) and receipt of an opioid/nonopioid combination medication. Despite decreases in MED, the MED remained almost twice the recommended dose per prior research. CONCLUSIONS: Variation by hospital suggests the need for system-level changes that target genuine practice change and opioid stewardship. Inclusion of patient-reported outcomes, electronic health record decision support tools, and academic detailing programs may support system-level improvements.

Patient selection in ambulatory surgery.

Patient selection is important for ambulatory surgical practices. Proper patient selection for ambulatory practices will optimize resources and lead to increased patient and provider satisfaction. As the number and complexity of procedures in ambulatory surgical centers increase, it is important to ensure that patients are best cared for in facilities that can provide appropriate levels of care. This review addresses the multiple variables and resources that should be considered when selecting patients for anesthesia in ambulatory centers and offices.

Appendectomy Pain Medication Prescribing Variation in the U.S. Military Health System.

INTRODUCTION: Post-appendectomy opioid prescription practices may vary widely across and within health care systems. Although guidelines encourage conservative opioid prescribing and prescribing of non-opioid pain medications, the variation of prescribing practices and the probability of opioid refill remain unknown in the U.S. Military Health System. MATERIALS AND METHODS: This retrospective observational cohort study evaluated medical data of 11,713 patients who received an appendectomy in the Military Health System between January 2016 and June 2021. Linear-mixed and generalized linear-mixed models evaluated the relationships between patient-, care-, and system-level factors and the two primary outcomes; the morphine equivalent dose (MED) at hospital discharge; and the probability of 30-day opioid prescription refill. Sensitivity analyses repeated the generalized linear-mixed model predicting the probability of opioid (re)fill after an appendectomy, but with inclusion of the full sample, including patients who had not received a discharge opioid prescription (e.g., 0 mg MED). RESULTS: Discharge MED was twice the recommended guidance and was not associated with opioid refill. Higher discharge MED was associated with opioid/non-opioid combination prescription (+38 mg) relative to opioid-only, lack of non-opioid prescribing at discharge (+6 mg), care received before a Defense Health Agency opioid safety policy was released (+61 mg), documented nicotine dependence (+8 mg), and pre-appendectomy opioid prescription (+5 mg) (all P < .01). Opioid refill was more likely for patients with complicated appendicitis (OR = 1.34; P < .01); patients assigned female (OR = 1.25, P < .01); those with a documented mental health diagnosis (OR = 1.32, P = .03), an antidepressant prescription (OR = 1.84, P < .001), or both (OR = 1.54, P < .001); and patients with documented nicotine dependence (OR = 1.53, P < .001). Opioid refill was less likely for patients who received care after the Defense Health Agency policy was released (OR = 0.71, P < .001), were opioid naive (OR = 0.54, P < .001), or were Asian or Pacific Islander (relative to white patients, OR = 0.68, P = .04). Results from the sensitivity analyses were similar to the main analysis, aside from two exceptions. The probability of refill no longer differed by race and ethnicity or mental health condition only. CONCLUSIONS: Individual prescriber practices shifted with new guidelines, but potentially unwarranted variation in opioid prescribing dose remained. Future studies may benefit from evaluating patients' experiences with pain management, satisfaction, and patient-centered education after appendectomy within the context of opioid prescribing practices, amount of medications used, and refill probability. Such could pave a way for standardized patient-centered procedures that both decrease unwarranted prescribing pattern variability and optimize pain management regimens.

Post-total joint arthroplasty opioid prescribing practices vary widely and are not associated with opioid refill: an observational cohort study.

INTRODUCTION: Optimized health system approaches to improving guideline-congruent care require evaluation of multilevel factors associated with prescribing practices and outcomes after total knee and hip arthroplasty. MATERIALS AND METHODS: Electronic health data from patients who underwent a total knee or hip arthroplasty between January 2016-January 2020 in the Military Health System Data were retrospectively analyzed. A generalized linear mixed-effects model (GLMM) examined the relationship between fixed covariates, random effects, and the primary outcome (30-day opioid prescription refill). RESULTS: In the sample (N = 9151, 65% knee, 35% hip), the median discharge morphine equivalent dose was 660 mg [450, 892] and varied across hospitals and several factors (e.g., joint, race and ethnicity, mental and chronic pain conditions, etc.). Probability of an opioid refill was higher in patients who underwent total knee arthroplasty, were white, had a chronic pain or mental health condition, had a lower age, and received a presurgical opioid prescription (all p < 0.01). Sex assigned in the medical record, hospital duration, discharge non-opioid prescription receipt, discharge morphine equivalent dose, and receipt of an opioid-only discharge prescription were not significantly associated with opioid refill. CONCLUSION: In the present study, several patient-, care-, and hospital-level factors were associated with an increased probability of an opioid prescription refill within 30 days after arthroplasty. Future work is needed to identify optimal approaches to reduce unwarranted and inequitable healthcare variation within a patient-centered framework.

Competency-Based Assessments: Leveraging Artificial Intelligence to Predict Subcompetency Content.

PURPOSE: Faculty feedback on trainees is critical to guiding trainee progress in a competency-based medical education framework. The authors aimed to develop and evaluate a Natural Language Processing (NLP) algorithm that automatically categorizes narrative feedback into corresponding Accreditation Council for Graduate Medical Education Milestone 2.0 subcompetencies. METHOD: Ten academic anesthesiologists analyzed 5,935 narrative evaluations on anesthesiology trainees at 4 graduate medical education (GME) programs between July 1, 2019, and June 30, 2021. Each sentence (n = 25,714) was labeled with the Milestone 2.0 subcompetency that best captured its content or was labeled as demographic or not useful. Inter-rater agreement was assessed by Fleiss' Kappa. The authors trained an NLP model to predict feedback subcompetencies using data from 3 sites and evaluated its performance at a fourth site. Performance metrics included area under the receiver operating characteristic curve (AUC), positive predictive value, sensitivity, F1, and calibration curves. The model was implemented at 1 site in a self-assessment exercise. RESULTS: Fleiss' Kappa for subcompetency agreement was moderate (0.44). Model performance was good for professionalism, interpersonal and communication skills, and practice-based learning and improvement (AUC 0.79, 0.79, and 0.75, respectively). Subcompetencies within medical knowledge and patient care ranged from fair to excellent (AUC 0.66-0.84 and 0.63-0.88, respectively). Performance for systems-based practice was poor (AUC 0.59). Performances for demographic and not useful categories were excellent (AUC 0.87 for both). In approximately 1 minute, the model interpreted several hundred evaluations and produced individual trainee reports with organized feedback to guide a self-assessment exercise. The model was built into a web-based application. CONCLUSIONS: The authors developed an NLP model that recognized the feedback language of anesthesiologists across multiple GME programs. The model was operationalized in a self-assessment exercise. It is a powerful tool which rapidly organizes large amounts of narrative feedback.

Procedural Benzodiazepine and Post-Vasectomy Opioid and Nonopioid Prescribing Variation in a Large Health Care System.

INTRODUCTION: Our goal was to describe variation in procedural benzodiazepine and post-vasectomy nonopioid pain and opioid prescription dispense events, and multilevel factors associated with the probability of an opioid refill. METHODS: Patients (40,584) undergoing vasectomies in the U.S. Military Health System between January 2016-January 2020 were included in this observational retrospective study. The main outcome was the probability of being dispensed an opioid prescription refill within 30 days post-vasectomy. Bivariate analyses examined the relationships between patient- and care-level characteristics, prescription dispense and 30-day opioid prescription refill. A generalized additive mixed-effects model and sensitivity analyses examined factors associated with opioid refill. RESULTS: There was wide variation in procedural benzodiazepine (32%) and post-vasectomy nonopioid (71%) and opioid (73%) prescription dispense patterns across facilities. Only 5% of the patients dispensed opioids received a refill. Probability of an opioid refill was associated with race (White), younger age, opioid dispense history, documented mental health or pain condition, lack of post-vasectomy nonopioid pain medication dispense events and higher dispensed post-vasectomy opioid prescription dose; albeit the effect of dose did not replicate in sensitivity analyses. CONCLUSIONS: Despite the wide variation in vasectomy-related pharmacological pathways across a large health care system, most patients do not require an opioid refill. Significant variation in prescribing practices indicated racial inequities. Given the low rates of opioid prescription refill, combined with the wide variation in opioid prescription dispense events and American Urological Association recommendations for conservative opioid prescribing after vasectomy, intervention to address excessive opioid prescribing is warranted.

Trauma in Obstetrical Patients.

INTRODUCTION: Pregnant trauma patients are an underdescribed cohort in the medical literature. Noting injury patterns and contributors to mortality may lead to improved care. METHODS: Female patients between 14 and 49 years of age were identified among entries in the 2017 National Trauma Data Bank. Data points were compared using Chi-square test, Fisher's exact test, Student's t-test, Mann-Whitney rank-sum, or multiple logistic regression as appropriate. P < 0.05 was used to determine the findings of significance. RESULTS: There were 569 pregnant trauma patients identified, which was 0.54% of the 105,507 women identified. Overall, mortality was low among all women and not different between groups (1.2% for pregnant women vs. 2.2% for nonpregnant, P = 0.12). Pregnant women with head injuries had a higher mortality rate than pregnant women without (4.2% vs. 0.47%, P < 0.01). Head injuries (Abbreviated Injury Severity Score [AIS] head >1) were associated with an increased risk for mortality (odds ratio: 3.33, 95% confidence interval: 3.0-3.7, P < 0.01). CONCLUSION: There was no increase in mortality for trauma patients who are pregnant when controlling for covariates. Factors such as head injuries, the need for blood, and comorbid diseases appear to have a more significant contribution to mortality. We also report the prevalence of head, cervical spine, and extremity injuries in pregnant trauma patients. Multidisciplinary simulation, jointly crafted protocols, and expanding training in regional anesthesia may be the next steps to improving care for pregnant trauma patients.

Left Paraglossal Approach for Airway Management of Patient With Large Neck Mass in an Austere Environment: A Case Report.

We present the case of a 25-year-old man with a significant neck mass and describe the technique used for managing his airway given limited equipment in an austere environment. Physical examination and imaging revealed significant proximal airway involvement. Without access to a fiberoptic bronchoscope, we sought a technique that might avoid contact with the mass from both the laryngoscope and endotracheal tube. In this case report, we describe our approach to left paraglossal laryngoscopy and intubation under general anesthesia-a method not well described in the literature and proved to be imperative for our airway management.