Discharge Opioid Dose Indirectly Associated With Functional Outcomes 2 Weeks After Shoulder and Knee Arthroscopy in a US Military Sample.

INTRODUCTION: Postsurgical opioid utilization may be directly and indirectly associated with a range of patient-related and surgery-related factors, above and beyond pain intensity. However, most studies examine postsurgical opioid utilization without accounting for the multitude of co-occurring relationships among predictors. Therefore, this study aimed to identify factors associated with opioid utilization in the first 2 weeks after arthroscopic surgery and examine the relationship between discharge opioid prescription doses and acute postsurgical outcomes. METHODS: In this prospective longitudinal observational study, 110 participants undergoing shoulder or knee arthroscopies from August 2016 to August 2018 at Walter Reed National Military Medical Center completed self-report measures before and at 14 days postoperatively. The association between opioid utilization and both patient-level and surgery-related factors was modeled using structural equation model path analysis. RESULTS: Participants who were prescribed more opioids took more opioids, which was associated with worse physical function and sleep problems at day 14, as indicated by the significant indirect effects of discharge opioid dose on day 14 outcomes. Additional patient-level and surgery-related factors were also significantly related to opioid utilization dose and day 14 outcomes. Most participants had opioid medications leftover at day 14. CONCLUSION: Excess opioid prescribing was common, did not result in improved pain alleviation, and was associated with poorer physical function and sleep 14 days after surgery. As such, higher prescribed opioid doses could reduce subacute functioning after surgery, without benefit in reducing pain. Future patient-centered studies to tailor opioid postsurgical prescribing are needed.

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.

Anesthesiology Fellowships in the Military Health System: An Education Analysis of the Supply and Demand.

INTRODUCTION: Evidence indicates that desire for fellowship training is most influenced by personal interest, enhancement of career options, and a specific interest in an academic medicine career. The overall objective of this study is to evaluate anesthesiology fellowship interest and its potential impact on military retention and other outcomes. We hypothesized that current fellowship training accessibility is outpaced by the interest for fellowship training and that additional factors will be associated with the desire for fellowship training. METHODS: This prospective cross-sectional survey study was approved as Exempt Research by the Brooke Army Medical Center Institutional Review Board in November 2020. Participants were eligible to complete the online voluntary survey if they were active duty anesthesiologists. Anonymous surveys were administered via the Research Electronic Data Capture System from December 2020 to January 2021. Aggregated data were evaluated using univariate statistics, bivariate analyses, and a generalized linear model. RESULTS: Seventy-four percent of general anesthesiologists (those without fellowship training) were interested in pursuing future fellowship training versus 23% of subspecialist anesthesiologists (those currently in fellowship training or have completed fellowship training), odd ratio 9.71 (95% CI, 4.3-21.7). Of subspecialist anesthesiologists, 75% indicated serving in a nongraduate medical education (GME) leadership position (e.g., service/department chief), with 38% serving in a GME leadership position (e.g., program or associate program director). Almost half (46%) of subspecialist anesthesiologists reported being "extremely likely" to serve ≥20 years, versus 28% of general anesthesiologists. CONCLUSIONS: There is a high demand among active duty anesthesiologists for fellowship training, which in turn, may improve military retention. The demand for fellowship training is outpaced by what the Services currently offer, including training in Trauma Anesthesiology. Leveraging this interest in subspecialty fellowship training, particularly when the skills align with combat casualty care-related requirements, would greatly benefit the Services.

Medical School Clinical Knowledge Exam Scores, Not Demographic or Other Factors, Associated With Residency In-Training Exam Performance.

BACKGROUND: The anesthesiology in-training exam (ITE) is a 200-item multiple-choice assessment completed annually by physician residents. Because all matriculated U.S. Department of Defense (DoD) anesthesiology residents are "hired" by the DoD after residency graduation, it is important to ensure that ITE performance, as a proxy for core competencies achievement, is maximized. METHODS: Graduated resident program files from 2013 to 2020 were queried for age, sex, matriculant status (medical student vs. other), medical school (Uniformed Services University vs. other), military service (Army vs. Air Force), preresidency military service (yes vs. no), U.S. Medical Licensing Exam (USMLE) Step 2 Clinical Knowledge (CK) score, and the American Board of Anesthesiologists ITE Score from the third clinical anesthesia year (CA-3 year). RESULTS: For every 1-point increase in USMLE Step 2 CK true z-score, the CA-3 ITE z-score increased by 0.59 points. Age was not associated with CA-3 ITE z-score in any dataset regression. Categorical covariates of sex, application status, medical school, service, and preresidency military service were not significantly associated with CA-3 ITE z-score (all P >.05), as shown by estimated adjusted marginal means. The estimated adjusted grand mean of CA-3 ITE z-scores was 0.48 (standard error ± 0.14). CONCLUSION: Resident physicians enter residency with varying degrees of past academic success, and it is important to develop early strategies to support them in acquiring the requisite knowledge base.

Variation by default: cesarean section discharge opioid prescription patterns and outcomes in Military Health System hospitals: a retrospective longitudinal cohort study.

BACKGROUND: To examine factors associated with post-Cesarean section analgesic prescription variation at hospital discharge in patients who are opioid naïve; and examine relationships between pre-Cesarean section patient and care-level factors and discharge morphine equivalent dose (MED) on outcomes (e.g., probability of opioid refill within 30 days) across a large healthcare system. METHODS: The Walter Reed Institutional Review Board provided an exempt determination, waiver of consent, and waiver of HIPAA authorization for research use in the present retrospective longitudinal cohort study. Patient records were included in analyses if: sex assigned in the medical record was "female," age was 18 years of age or older, the Cesarean section occurred between January 2016 to December 2019 in the Military Health System, the listed TRICARE sponsor was an active duty service member, hospitalization began no more than three days prior to the Cesarean section, and the patient was discharged to home < 4 days after the Cesarean section. RESULTS: Across 57 facilities, 32,757 adult patients had a single documented Cesarean section procedure in the study period; 24,538 met inclusion criteria and were used in analyses. Post-Cesarean section discharge MED varied by facility, with a median MED of 225 mg and median 5-day supply. Age, active duty status, hospitalization duration, mental health diagnosis, pain diagnosis, substance use disorder, alcohol use disorder, gestational diabetes, discharge opioid type (combined vs. opioid-only medication), concurrent tubal ligation procedure, single (vs. multiple) births, and discharge morphine equivalent dose were associated with the probability of an opioid prescription refill in bivariate analyses, and therefore were included as covariates in a generalized additive mixed model (GAMM). Generalized additive mixed model results indicated that non-active duty beneficiaries, those with mental health and pain conditions, those who received an opioid/non-opioid combination medication, those with multiple births, and older patients were more likely to obtain an opioid refill, relative to their counterparts. CONCLUSION: Significant variation in discharge pain medication prescriptions, as well as the lack of association between discharge opioid MED and probability of refill, indicates that efforts are needed to optimize opioid prescribing and reduce unnecessary healthcare variation.