Variations in Current Practice and Protocols of Intraoperative Multimodal Analgesia: A Cross-Sectional Study Within a Six-Hospital US Health Care System.

BACKGROUND: Multimodal analgesia (MMA) aims to reduce surgery-related opioid needs by adding nonopioid pain medications in postoperative pain management. In light of the opioid epidemic, MMA use has increased rapidly over the past decade. We hypothesize that the rapid adoption of MMA has resulted in variation in practice. This cross-sectional study aimed to determine how MMA practices have changed over the past 6 years and whether there is variation in use by patient, provider, and facility characteristics. METHODS: Our study population includes all patients undergoing surgery with general anesthesia at 1 of 6 geographically similar hospitals in the United States between January 1, 2017 and December 31, 2022. Intraoperative pain medications were obtained from the hospital's perioperative information management system. MMA was defined as an opioid plus at least 2 other nonopioid analgesics. Frequencies, χ2 tests (χ2), range, and interquartile range (IQR) were used to describe variation in MMA practice over time, by patient and procedure characteristics, across hospitals, and across anesthesiologists. Multivariable logistic regression was conducted to understand the independent contributions of patient and procedural factors to MMA use. RESULTS: We identified 25,386 procedures among 21,227 patients. Overall, 46.9% of cases met our definition of MMA. Patients who received MMA were more likely to be younger females with a lower comorbidity burden undergoing longer and more complex procedures that included an inpatient admission. MMA use has increased steadily by an average of 3.0% each year since 2017 (95% confidence interval =2.6%-3.3%). There was significant variation in use across hospitals (n = 6, range =25.9%-68.6%, χ2 = 3774.9, P < .001) and anesthesiologists (n = 190, IQR =29.8%-65.8%, χ2 = 1938.5, P < .001), as well as by procedure characteristics. The most common MMA protocols contained acetaminophen plus regional anesthesia (13.0% of protocols) or acetaminophen plus dexamethasone (12.2% of protocols). During the study period, the use of opioids during the preoperative or intraoperative period decreased from 91.4% to 86.0% of cases; acetaminophen use increased (41.9%-70.5%, P < .001); dexamethasone use increased (24.0%-36.1%, P < .001) and nonsteroidal anti-inflammatory drugs (NSAIDs) increased (6.9%-17.3%, P < .001). Gabapentinoids and IV lidocaine were less frequently used but also increased (0.8%-1.6% and 3.4%-5.3%, respectively, P < .001). CONCLUSIONS: In a large integrated US health care system, approximately 50% of noncardiac surgery patients received MMA. Still, there was wide variation in MMA use by patient and procedure characteristics and across hospitals and anesthesiologists. Our findings highlight a need for further research to understand the reasons for these variations and guide the safe and effective adoption of MMA into routine practice.

Use of natural language processing method to identify regional anesthesia from clinical notes.

INTRODUCTION: Accurate data capture is integral for research and quality improvement efforts. Unfortunately, limited guidance for defining and documenting regional anesthesia has resulted in wide variation in documentation practices, even within individual hospitals, which can lead to missing and inaccurate data. This cross-sectional study sought to evaluate the performance of a natural language processing (NLP)-based algorithm developed to identify regional anesthesia within unstructured clinical notes. METHODS: We obtained postoperative clinical notes for all patients undergoing elective non-cardiac surgery with general anesthesia at one of six Veterans Health Administration hospitals in California between January 1, 2017, and December 31, 2022. After developing and executing our algorithm, we compared our results to a frequently used referent, the Corporate Data Warehouse structured data, to assess the completeness and accuracy of the currently available data. Measures of agreement included sensitivity, positive predictive value, false negative rate, and accuracy. RESULTS: We identified 27,713 procedures, of which 9310 (33.6%) received regional anesthesia. 96.6% of all referent regional anesthesia cases were identified in the clinic notes with a very low false negative rate and good accuracy (false negative rate=0.8%, accuracy=82.5%). Surprisingly, the clinic notes documented more than two times the number of regional anesthesia cases that were documented in the referent (algorithm n=9154 vs referent n=4606). DISCUSSION: While our algorithm identified nearly all regional anesthesia cases from the referent, it also identified more than two times as many regional anesthesia cases as the referent, raising concerns about the accuracy and completeness of regional anesthesia documentation in administrative and clinical databases. We found that NLP was a promising alternative for identifying clinical information when existing databases lack complete documentation.

Mapping the Discharge Process After Surgery.

Importance: Care transition models are structured approaches used to ensure the smooth transfer of patients between health care settings or levels of care, but none currently are tailored to the surgical patient. Tailoring care transition models to the unique needs of surgical patients may lead to significant improvements in surgical outcomes and reduced care fragmentation. The first step to developing surgical care transition models is to understand the surgical discharge process. Objective: To map the surgical discharge process in a sample of US hospitals and identify key components and potential challenges specific to a patient's discharge after surgery. Design, Setting, and Participants: This qualitative study followed a cognitive task analysis framework conducted between January 1, 2022, and April 1, 2023, in Veterans Health Administration (VHA) hospitals. Observations (n = 16) of discharge from inpatient care after a surgical procedure were conducted in 2 separate VHA surgical units. Interviews (n = 13) were conducted among VHA health care professionals nationwide. Exposure: Postoperative hospital discharge. Main Outcomes and Measures: Data were coded according to the principles of thematic analysis, and a swim lane process map was developed to represent the study findings. Results: At the hospitals in this study, the discharge process observed for a surgical patient involved multidisciplinary coordination across the surgery team, nursing team, case managers, dieticians, social services, occupational and physical therapy, and pharmacy. Important components for a surgical discharge that were not incorporated in the current care transition models included wound care education and supplies; pain control; approvals for nonhome postdischarge locations; and follow-up plans for wounds, ostomies, tubes, and drains at discharge. Potential challenges to the surgical discharge process included social situations (eg, home environment and caregiver availability), team communication issues, and postdischarge care coordination. Conclusions and Relevance: These findings suggest that current and ongoing studies of discharge care transitions for a patient after surgery should consider pain control; wounds, ostomies, tubes, and drains; and the impact of challenging social situations and interdisciplinary team coordination on discharge success.

Haptic Guidance and Haptic Error Amplification in a Virtual Surgical Robotic Training Environment.

Teleoperated robotic systems have introduced more intuitive control for minimally invasive surgery, but the optimal method for training remains unknown. Recent motor learning studies have demonstrated that exaggeration of errors helps trainees learn to perform tasks with greater speed and accuracy. We hypothesized that training in a force field that pushes the user away from a desired path would improve their performance on a virtual reality ring-on-wire task. Thirty-eight surgical novices trained under a no-force, guidance, or error-amplifying force field over five days. Completion time, translational and rotational path error, and combined error-time were evaluated under no force field on the final day. The groups significantly differed in combined error-time, with the guidance group performing the worst. Error-amplifying field participants did not plateau in their performance during training, suggesting that learning was still ongoing. Guidance field participants had the worst performance on the final day, confirming the guidance hypothesis. Observed trends also suggested that participants who had high initial path error benefited more from guidance. Error-amplifying and error-reducing haptic training for robot-assisted telesurgery benefits trainees of different abilities differently, with our results indicating that participants with high initial combined error-time benefited more from guidance and error-amplifying force field training.

Emergency Department Visit Rates After Ambulatory Surgery.

This cohort study compares the rates of emergency department visits after cholecystectomy, transurethral resection of the prostate, and knee arthroplasty at freestanding ambulatory surgery centers vs hospital-owned surgery centers.

A retrospective study of laparoscopic, robotic-assisted, and open emergent/urgent cholecystectomy based on the PINC AI Healthcare Database 2017-2020.

BACKGROUND: Robotic-assisted cholecystectomy (RAC) is becoming increasingly common, but the outcomes of emergent/urgent robotic-assisted cholecystectomies compared to emergent laparoscopic (LC) and open cholecystectomies (OC) remain understudied. METHODS: The PINC AI Healthcare Database was queried to identify adults who underwent emergent or urgent (Em-Ur) cholecystectomy between January 1, 2017, and December 31, 2020. Immediate postoperative and 30-day outcomes were identified including intraoperative complications, transfusion, conversion, postoperative complication, and hospital length of stay. Propensity score matching was done to compare outcomes between Em-Ur robotic-assisted, laparoscopic, and open cholecystectomies Subgroup analyses were performed comparing RAC done with and without fluorescent imaging as well as comparing RAC and LC performed for patients with class 3 obesity (BMI ≥ 40 kg/m2). RESULTS: RAC Em-Ur cholecystectomies are being performed with increasing frequency and is the most utilized modality for patients with class 3 obesity. There was no difference in intraoperative complications (0.3%), bile duct injury (0.2%), or postoperative outcomes between RAC and LC. LC had significantly shorter operating room times (96 min (75,128)) compared to RAC (120 min (90,150)). There was a significant lower rate of conversion to open in RAC (1.9%) relative to LC (3.2%) in both the overall population and the class 3 obesity sub-analysis (RAC-2.6% vs. LC-4.4%). There was no difference in outcomes in robotic-assisted cholecystectomies done with and without fluorescent imaging. CONCLUSIONS: A comparison of propensity score-matched cohorts of emergent/urgent robotic-assisted and laparoscopic cholecystectomy indicates that robotic-assisted cholecystectomy is a safe alternative to laparoscopic cholecystectomy, and that both have superior outcomes to open cholecystectomies.

Freestanding Ambulatory Surgery Centers and Patients Undergoing Outpatient Knee Arthroplasty.

Importance: In 2018, Medicare removed total knee arthroplasty from the list of inpatient-only procedures, resulting in a new pool of patients eligible for outpatient total knee arthroplasty. How this change was associated with the characteristics of patients undergoing outpatient knee arthroplasty at hospital-owned surgery centers (HOSCs) vs freestanding ambulatory surgery centers (FASCs) is unknown. Objectives: To describe the characteristics of patients undergoing outpatient, elective total and partial knee arthroplasty in 2017 and 2018 and to compare the cohorts receiving treatment at FASCs and HOSCs. Design, Setting, and Participants: This observational retrospective cohort study included 5657 patients having elective, outpatient partial and total knee arthroplasty in the Florida and Wisconsin State Ambulatory Surgery Databases in 2017 and 2018. Prior admissions were identified in the State Inpatient Database. Statistical analysis was performed from March to June 2022. Main Outcomes and Measures: Characteristics of patients undergoing surgery at a FASC vs a HOSC in 2017 and 2018 were compared. Results: A total of 5657 patients (mean [SD] age, 64.2 [9.9] years; 2907 women [51.4%]) were included in the study. Outpatient knee arthroplasties increased from 1910 in 2017 to 3747 in 2018 and were associated with an increase in total knee arthroplasties (474 in 2017 vs 2065 in 2018). The influx of patients undergoing outpatient knee arthroplasty was associated with an amplification of differences between the patients treated at FASCs and the patients treated at HOSCs. Patients with private payer insurance seen at FASCs increased from 63.4% in 2017 (550 of 867) to 72.7% in 2018 (1272 of 1749) (P < .001), while the percentage of patients with private payer insurance seen at HOSCs increased, but to a lesser extent (41.6% [427 of 1027] in 2017 vs 46.4% [625 of 1346] in 2018; P < .001). In 2017, the percentages of White patients seen at FASCs and HOSCs were similar (85.0% [737 of 867] vs 88.2% [906 of 1027], respectively); in 2018, the percentage of White patients seen at FASCs had increased and was significantly different from the percentage of White patients seen at HOSCs (90.6% [1585 of 1749] vs 87.9% [1183 of 1346]; P = .01). Both types of facilities saw an increase from 2017 to 2018 in the percentage of patients from communities of low social vulnerability, but this increase was greater for FASCs (FASCs: 6.7% [58 of 867] in 2017 vs 33.9% [593 of 1749] in 2018; HOSCs: 7.6% [78 of 1027] in 2017 vs 21.2% [285 of 1346] in 2018). Finally, while FASCs and HOSCs had cared for a similar portion of patients with prior admissions in 2017 (7.8% [68 of 867] vs 9.4% [97 of 1027], respectively; P = .25), in 2018, FASCs cared for fewer patients with prior admissions than HOSCs (4.0% [70 of 1749] vs 8.1% [109 of 1346]; P < .001). Conclusions: This study suggests that the increase in the number of patients undergoing outpatient knee arthroplasty in 2018 corresponded to FASCs treating a greater share of patients who were White, covered by private payer insurance, and healthier. These findings raise a concern that as more operations transition to the outpatient setting, variability in access to FASCs may increase, leaving hospital-owned centers to bear a greater share of the burden of caring for more vulnerable patients with more severe illness.

Correlation of Performance on ENTRUST and Traditional Oral Objective Structured Clinical Examination for High-Stakes Assessment in the College of Surgeons of East, Central, and Southern Africa.

BACKGROUND: To address the global need for accessible evidence-based tools for competency-based education, we developed ENTRUST, an innovative online virtual patient simulation platform to author and securely deploy case scenarios to assess surgical decision-making competence. STUDY DESIGN: In partnership with the College of Surgeons of East, Central, and Southern Africa, ENTRUST was piloted during the Membership of the College of Surgeons (MCS) 2021 examination. Examinees (n = 110) completed the traditional 11-station oral objective structured clinical examinations (OSCEs), followed by 3 ENTRUST cases, authored to query similar clinical content of 3 corresponding OSCE cases. ENTRUST scores were analyzed for associations with MCS Examination outcome using independent sample t tests. Correlation of ENTRUST scores to MCS Examination Percentage and OSCE station scores was calculated with Pearson correlations. Bivariate and multivariate analyses were performed to evaluate predictors of performance. RESULTS: ENTRUST performance was significantly higher in examinees who passed the MCS examination compared with those who failed (p < 0.001). The ENTRUST score was positively correlated with MCS Examination Percentage (p < 0.001) and combined OSCE station scores (p < 0.001). On multivariate analysis, there was a strong association between MCS Examination Percentage and ENTRUST Grand Total Score (p < 0.001), Simulation Total Score (p = 0.018), and Question Total Score (p < 0.001). Age was a negative predictor for ENTRUST Grand Total and Simulation Total Score, but not for Question Total Score. Sex, native language status, and intended specialty were not associated with performance on ENTRUST. CONCLUSIONS: This study demonstrates feasibility and initial validity evidence for the use of ENTRUST in a high-stakes examination context for assessment of surgical decision-making. ENTRUST holds potential as an accessible learning and assessment platform for surgical trainees worldwide.

Characterizing Moral Injury and Distress in US Military Surgeons Deployed to Far-Forward Combat Environments in Afghanistan and Iraq.

Importance: Moral injury and distress (MID), which occurs when individuals have significant dissonance with their belief system and overwhelming feelings of being powerless to do what is believed to be right, has not been explored in the unique population of military surgeons deployed far forward in active combat settings. Deployed military surgeons provide care to both injured soldiers and civilians under command-driven medical rules of engagement (MROE) in variably resourced settings. This practice setting has no civilian corollary for comparison or current specific tool for measurement. Objective: To characterize MID among military surgeons deployed during periods of high casualty volumes through a mixed-methods approach. Design, Setting, and Participants: This qualitative study using convergent mixed methods was performed from May 2020 to October 2020. Participants included US military surgeons who had combat deployments to a far-forward role 2 treatment facility during predefined peak casualty periods in Iraq (2003-2008) and Afghanistan (2009-2012), as identified by purposeful snowball sampling. Data analysis was performed from October 2020 to May 2021. Main Outcomes and Measures: Measure of Moral Distress for Healthcare Professionals (MMD-HP) survey and individual, semistructured interviews were conducted to thematic saturation. Results: The total cohort included 20 surgeons (mean [SD] age, 38.1 [5.2] years); 16 (80%) were male, and 16 (80%) had 0 or 1 prior deployment. Deployment locations were Afghanistan (11 surgeons [55%]), Iraq (9 surgeons [45%]), or both locations (3 surgeons [15%]). The mean (SD) MMD-HP score for the surgeons was 104.1 (39.3). The primary thematic domains for MID were distressing outcomes (DO) and MROE. The major subdomains of DO were guilt related to witnessing horrific injuries; treating pregnant women, children, and US soldiers; and second-guessing decisions. The major subdomains for MROE were forced transfer of civilian patients, limited capabilities and resources, inexperience in specialty surgical procedures, and communication with command. Postdeployment manifestations of MID were common and affected sleep, medical practice, and interpersonal relationships. Conclusions and Relevance: In this qualitative study, MID was ubiquitous in deployed military surgeons. Thematic observations about MID, specifically concerning the domains of DO and MROE, may represent targets for further study to develop an evaluation tool of MID in this population and inform possible programs for identification and mitigation of MID.

Robotic General Surgery Trends in the Veterans Health Administration, Community Practice, and Academic Centers From 2013 to 2021.

This cross-sectional study compares trends in use of robotic surgery for general surgical procedures among the Veterans Health Administration (VHA), community practice, and academic health centers from 2013 to 2021.

Perioperative Risk Assessment in Humanitarian Settings: A Scoping Review.

BACKGROUND: No validated perioperative risk assessment models currently exist for use in humanitarian settings. To inform the development of a perioperative mortality risk assessment model applicable to humanitarian settings, we conducted a scoping review of the literature to identify reports that described perioperative risk assessment in surgical care in humanitarian settings and LMICs. METHODS: We conducted a scoping review of the literature to identify records that described perioperative risk assessment in low-resource or humanitarian settings. Searches were conducted in databases including: PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, Web of Science, World Health Organization Catalog, and Google Scholar. RESULTS: Our search identified 1582 records. After title/abstract and full text screening, 50 reports remained eligible for analysis in quantitative and qualitative synthesis. These reports presented data from over 37 countries from public, NGO, and military facilities. Data reporting was highly inconsistent: fewer than half of reports presented the indication for surgery; less than 25% of reports presented data on injury severity or prehospital data. Most elements of perioperative risk models designed for high-resource settings (e.g., vital signs, laboratory data, and medical comorbidities) were unavailable. CONCLUSION: At present, no perioperative mortality risk assessment model exists for use in humanitarian settings. Limitations in consistency and quality of data reporting are a primary barrier, however, can be addressed through data-driven identification of several key variables encompassed by a minimum dataset. The development of such a score is a critical step toward improving the quality of care provided to populations affected by conflict and protracted humanitarian crises.

Applying cognitive task analysis to health services research.

OBJECTIVE: Designing practical decision support tools and other health care technology in health services research relies on a clear understanding of the cognitive processes that underlie the use of these tools. Unfortunately, methods to explore cognitive processes are rarely used in health services research. Thus, the objective of this manuscript is to introduce cognitive task analysis (CTA), a family of methods to study cognitive processes involved in completing a task, to a health services research audience. This methods article describes CTA procedures, proposes a framework for their use in health services research studies, and provides an example of its application in a pilot study. DATA SOURCES AND STUDY SETTING: Observations and interviews of health care providers involved in discharge planning at six hospitals in the Veterans Health Administration. STUDY DESIGN: Qualitative study of discharge planning using CTA. DATA COLLECTION/EXTRACTION METHODS: Data were collected from structured observations and semi-structured interviews using the Critical Decision Method and analyzed using thematic analysis. PRINCIPAL FINDINGS: We developed an adaptation of CTA that could be used in a clinical environment to describe clinical decision-making and other cognitive processes. The adapted CTA framework guides the user through four steps: (1) Planning, (2) Environmental Analysis, (3) Knowledge Elicitation, and (4) Analyses and Results. This adapted CTA framework provides an iterative and systematic approach to identifying and describing the knowledge, expertise, thought processes, procedures, actors, goals, and mental strategies that underlie completing a clinical task. CONCLUSIONS: A better understanding of the cognitive processes that underly clinical tasks is key to developing health care technology and decision-support tools that will have a meaningful impact on processes of care and patient outcomes. Our adapted framework offers a more rigorous and detailed method for identifying task-related cognitive processes in implementation studies and quality improvement. Our adaptation of this underutilized qualitative research method may be helpful to other researchers and inform future research in health services research.

Defining Essential Surgery in the US During the COVID-19 Pandemic Response.

This cohort study compares the volume of performed surgical procedures classified as essential, urgent, and nonurgent before and after elective surgeries were restricted during the COVID-19 pandemic in the US.