Association of timing and agent for VTE prophylaxis in patients with severe traumatic brain injury on VTE, mortality, neurosurgical intervention, and discharge disposition.

BACKGROUND: Trauma patients are at increased risk for venous thromboembolism events (VTE). The decision of when to initiate VTE chemoprophylaxis (VTEP) and with what agent remains controversial in patients with severe traumatic brain injury (TBI). METHODS: This comparative effectiveness study evaluated the impact of timing and agent for VTEP on outcomes for patients with severe TBI (AIS Head = 3,4, or 5). Data was collected at 35 Level 1 and 2 trauma centers from January 1, 2017 to June 1, 2022. Patients were placed into analysis cohorts: No VTEP, low-molecular weight heparin (LMWH) ≤ 48 hours, LMWH>48 hours, Heparin≤48 hours, Heparin>48 hours. Propensity score matching accounting for patient factors and injury characteristics was used with logistic regression modeling to evaluate in-hospital mortality, VTE events, and discharge disposition. Neurosurgical intervention after initiation of VTEP was used to evaluate extension of intracranial hemorrhage. RESULTS: Of 12,879 patients, 32% had no VTEP, 36% LMWH, and 32% Heparin. Overall mortality was 8.3% and lowest among patients receiving LMWH≤48 hours (4.1%). VTE rates were lower with use of LMWH (1.6 vs 4.5%, OR 2.98, 95% CI 1.40-6.34, p = 0.005) without increasing mortality or neurosurgical interventions. VTE rates were lower with early prophylaxis (2.0 vs 3.5%, OR 1.76, 95% CI 1.15-2.71, p = 0.01) without increasing mortality (p = 1.0). Early VTEP was associated with more non-fatal intracranial operations (p < 0.001). However, patients undergoing neurosurgical intervention after VTEP initiation had no difference in rates of mortality, withdrawal of care, or unfavorable discharge disposition (p = 0.7, p = 0.1, p = 0.5). CONCLUSIONS: In patients with severe TBI, LMWH usage was associated with lower VTE incidence without increasing mortality or neurosurgical interventions. Initiation of VTEP≤48 hours decreased VTE incidence and increased non-fatal neurosurgical interventions without affecting mortality. LMWH is the preferred VTEP agent for severe TBI, and initiation ≤48 hours should be considered in relation to these risks and benefits. LEVEL OF EVIDENCE: Therapeutic/Care Management, Level III.

Prospective validation of a hospital triage predictive model to decrease undertriage: an EAST multicenter study.

Background: Tiered trauma team activation (TTA) allows systems to optimally allocate resources to an injured patient. Target undertriage and overtriage rates of <5% and <35% are difficult for centers to achieve, and performance variability exists. The objective of this study was to optimize and externally validate a previously developed hospital trauma triage prediction model to predict the need for emergent intervention in 6 hours (NEI-6), an indicator of need for a full TTA. Methods: The model was previously developed and internally validated using data from 31 US trauma centers. Data were collected prospectively at five sites using a mobile application which hosted the NEI-6 model. A weighted multiple logistic regression model was used to retrain and optimize the model using the original data set and a portion of data from one of the prospective sites. The remaining data from the five sites were designated for external validation. The area under the receiver operating characteristic curve (AUROC) and the area under the precision-recall curve (AUPRC) were used to assess the validation cohort. Subanalyses were performed for age, race, and mechanism of injury. Results: 14 421 patients were included in the training data set and 2476 patients in the external validation data set across five sites. On validation, the model had an overall undertriage rate of 9.1% and overtriage rate of 53.7%, with an AUROC of 0.80 and an AUPRC of 0.63. Blunt injury had an undertriage rate of 8.8%, whereas penetrating injury had 31.2%. For those aged ≥65, the undertriage rate was 8.4%, and for Black or African American patients the undertriage rate was 7.7%. Conclusion: The optimized and externally validated NEI-6 model approaches the recommended undertriage and overtriage rates while significantly reducing variability of TTA across centers for blunt trauma patients. The model performs well for populations that traditionally have high rates of undertriage. Level of evidence: 2.

Extracorporeal Life Support Use in Mixed Distributive-Obstructive Shock following an Electrical Injury: A Case Report.

Electrical burn injuries can be catastrophic, threatening severe disability or mortality. We present a patient who suffered from electrical shock, requiring bilateral above knee amputations, right trans-radial amputation, renal replacement therapy, and veno-arterial extracorporeal life support (VA ECLS) therapy. While there exist reports of cases that have demonstrated the potential use of ECLS in burn patients with cardiogenic shock or acute respiratory distress syndrome (ARDS), this is a unique case of VA ECLS use for an electrical injury patient who developed mixed distributive-obstructive shock secondary to pulmonary embolism and sepsis. Given the wide variety of morbidities that can result from electrical burns, VA ECLS is a promising tool for those who require cardiopulmonary support refractory to traditional measures.

Characterizing Trauma Patients with Delays in Orthopaedic Process Measures.

INTRODUCTION: Early operative intervention in orthopaedic injuries is associated with decreased morbidity and mortality. Relevant process measures (e.g. femoral shaft fixation <24 hours) are used in trauma quality improvement programs to evaluate performance. Currently, there is no mechanism to account for patients who are unable to undergo surgical intervention (i.e. physiologically unstable). We characterized the factors associated with patients who did not meet these orthopaedic process measures. METHODS: A retrospective cohort study of patients from 35 ACS-COT verified Level 1 and Level 2 trauma centers was performed utilizing quality collaborative data (2017-2022). Inclusion criteria were adult patients (≥18 years), ISS ≥5, and a closed femoral shaft or open tibial shaft fracture classified via the Abbreviated Injury Scale version 2005 (AIS2005). Relevant factors (e.g. physiologic) associated with a procedural delay >24 hours were identified through a multivariable logistic regression and the effect of delay on inpatient outcomes was assessed. A sub-analysis characterized the rate of delay in "healthy patients". RESULTS: We identified 5,199 patients with a femoral shaft fracture and 87.5% had a fixation procedure, of which 31.8% had a delay, and 47.1% of those delayed were "healthy." There were 1,291 patients with an open tibial shaft fracture, 92.2% had fixation, 50.5% had an irrigation and debridement and 11.2% and 18.7% were delayed, respectively. High ISS, older age and multiple medical comorbidities were associated with a delay in femur fixation, and those delayed had a higher incidence of complications. CONCLUSIONS: There is a substantial incidence of surgical delays in some orthopaedic trauma process measures that are predicted by certain patient characteristics, and this is associated with an increased rate of complications. Understanding these factors associated with a surgical delay, and effectively accounting for them, is key if these process measures are to be used appropriately in quality improvement programs. LEVEL OF EVIDENCE: Level III; Therapeutic/Care Management.

A Geospatial Analysis of Hand Trauma Care: A Statewide Cross-Sectional Study.

BACKGROUND: Traumatic hand injuries often present with high acuity, but little is known about the influence of geospatial and socioeconomic factors on the timely delivery of care. METHODS: This cross-sectional study used the Michigan Trauma Quality Improvement Program database, a state-wide registry with 35 level I or II trauma centers. Adult patients sustained hand trauma requiring urgent operative treatment between 2016 and 2021. Zip codes of injury location were linked with the corresponding percentile score on the Area Deprivation Index (ADI), a comprehensive measure of neighborhood disadvantage. Multiple regression analyses were used to determine associations of patient, injury and geospatial characteristics with the odds of sustaining acute hand trauma and time to operative treatment. RESULTS: Among 1,826 patients, the odds of sustaining acute hand trauma based on the ADI followed a bimodal distribution. Female sex, smoking, obesity, work-related injury and residence in a minor city were associated with increased odds, while younger age, comorbidities, and rural residence were associated with decreased odds. For 388 patients who underwent surgery within 48 hours, time to treatment was significantly increased in the highest ADI quintile, for patients who underwent fracture fixation, and for those with severe global injury severity. Multi-system injuries, moderate global injury severity and direct admission to an orthopaedic service were associated with shorter times to treatment. CONCLUSIONS: Patients in areas with greater neighborhood disadvantage may experience delayed operative care after acute hand trauma. This study highlights the importance of considering underserved populations and geospatial factors when determining the allocation of hand surgery resources. LEVEL OF EVIDENCE: Prognostic Level III.

Improving outcomes in emergency general surgery: Construct of a collaborative quality initiative.

BACKGROUND: Emergency general surgery conditions are common, costly, and highly morbid. The proportion of excess morbidity due to variation in health systems and processes of care is poorly understood. We constructed a collaborative quality initiative for emergency general surgery to investigate the emergency general surgery care provided and guide process improvements. METHODS: We collected data at 10 hospitals from July 2019 to December 2022. Five cohorts were defined: acute appendicitis, acute gallbladder disease, small bowel obstruction, emergency laparotomy, and overall aggregate. Processes and inpatient outcomes investigated included operative versus nonoperative management, mortality, morbidity (mortality and/or complication), readmissions, and length of stay. Multivariable risk adjustment accounted for variations in demographic, comorbid, anatomic, and disease traits. RESULTS: Of the 19,956 emergency general surgery patients, 56.8% were female and 82.8% were White, and the mean (SD) age was 53.3 (20.8) years. After accounting for patient and disease factors, the adjusted aggregate mortality rate was 3.5% (95% confidence interval [CI], 3.2-3.7), morbidity rate was 27.6% (95% CI, 27.0-28.3), and the readmission rate was 15.1% (95% CI, 14.6-15.6). Operative management varied between hospitals from 70.9% to 96.9% for acute appendicitis and 19.8% to 79.4% for small bowel obstruction. Significant differences in outcomes between hospitals were observed with high- and low-outlier performers identified after risk adjustment in the overall cohort for mortality, morbidity, and readmissions. The use of a Gastrografin challenge in patients with a small bowel obstruction ranged from 10.7% to 61.4% of patients. In patients who underwent initial nonoperative management of acute cholecystitis, 51.5% had a cholecystostomy tube placed. The cholecystostomy tube placement rate ranged from 23.5% to 62.1% across hospitals. CONCLUSION: A multihospital emergency general surgery collaborative reveals high morbidity with substantial variability in processes and outcomes among hospitals. A targeted collaborative quality improvement effort can identify outliers in emergency general surgery care and may provide a mechanism to optimize outcomes. LEVEL OF EVIDENCE: Therapeutic/Care Management; Level III.

Multicenter evaluation of financial toxicity and long-term health outcomes after injury.

BACKGROUND: Despite the growing awareness of the negative financial impact of traumatic injury on patients' lives, the association between financial toxicity and long-term health-related quality of life (hrQoL) among trauma survivors remains poorly understood. METHODS: Patients from nine trauma centers participating in a statewide trauma quality collaborative had responses from longitudinal survey data linked to inpatient trauma registry data. Financial toxicity was defined based on patient-reported survey responses regarding medical debt, work or income loss, nonmedical financial strain, and forgone care due to costs. A financial toxicity score ranging from 0 to 4 was calculated. Health-related quality of life was assessed using the EuroQol 5 Domain tool. Multivariable regression models evaluated the association between financial toxicity and hrQoL outcomes while adjusting for patient demographics, injury severity and inpatient treatment intensity, and health systems variables. RESULTS: Among the 403 patients providing 510 completed surveys, rates of individual financial toxicity elements ranged from 21% to 46%, with 65% of patients experiencing at least one element of financial toxicity. Patients with any financial toxicity had worse summary measures of hrQoL and higher rates of problems in all five EuroQol 5 Domain domains ( p < 0.05 for all). Younger age, lower household income, lack of insurance, more comorbidities, discharge to a facility, and air ambulance transportation were independently associated with higher odds of financial toxicity ( p < 0.05 for all). Injury traits and inpatient treatment intensity were not independently associated with financial toxicity. CONCLUSION: A majority of trauma survivors in this study experienced some level of financial toxicity, which was independently associated with worse risk-adjusted health outcomes across all hrQoL measures. Risk factors for financial toxicity are not related to injury severity or treatment intensity but rather to sociodemographic variables and measures of prehospital and posthospital health care resource utilization. Targeted interventions and policies are needed to address financial toxicity and ensure optimal recovery for trauma survivors. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level III.

Linking Trauma Registry Patients With Insurance Claims: Creating a Longitudinal Patient Record.

INTRODUCTION: Trauma registries and their quality improvement programs only collect data from the acute hospital admission, and no additional information is captured once the patient is discharged. This lack of long-term data limits these programs' ability to affect change. The goal of this study was to create a longitudinal patient record by linking trauma registry data with third party payer claims data to allow the tracking of these patients after discharge. METHODS: Trauma quality collaborative data (2018-2019) was utilized. Inclusion criteria were patients age ≥18, ISS ≥5 and a length of stay ≥1 d. In-hospital deaths were excluded. A deterministic match was performed with insurance claims records based on the hospital name, date of birth, sex, and dates of service (±1 d). The effect of payer type, ZIP code, International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis specificity and exact dates of service on the match rate was analyzed. RESULTS: The overall match rate between these two patient record sources was 27.5%. There was a significantly higher match rate (42.8% versus 6.1%, P < 0.001) for patients with a payer that was contained in the insurance collaborative. In a subanalysis, exact dates of service did not substantially affect this match rate; however, specific International Classification of Diseases, Tenth Revision, Clinical Modification codes (i.e., all 7 characters) reduced this rate by almost half. CONCLUSIONS: We demonstrated the successful linkage of patient records in a trauma registry with their insurance claims. This will allow us to the collect longitudinal information so that we can follow these patients' long-term outcomes and subsequently improve their care.

Association of Discontinuing Preinjury Beta-Adrenergic Blockade Medications With Mortality in Severe Blunt Traumatic Brian Injury.

Background: Beta-adrenergic receptor blocker (BB) administration has been shown to improve survival after traumatic brain injury (TBI). However, studies to date that observe a benefit did not distinguish between continuation of preinjury BB versus de novo initiation of BB. Objectives: To determine the effect of continuation of preinjury BB and de novo initiation of BB on risk-adjusted mortality and complications for patients with TBI. Methods: Trauma quality collaborative data (2016-2021) were analyzed. Patients were excluded with hospitalization <48 hours, direct admission, or penetrating injury. Severe TBI was identified as a head abbreviated injury scale (AIS) value of 3 to 5. Patients were placed into 4 groups based on the preinjury BB use and administration of BB during hospitalization. Propensity score matching was used to create 1:1 matched cohorts of patients for comparisons. Odd ratios of mortality accounting for hospital clustering were calculated. A sensitivity analysis was performed excluding patients with AIS >2 injuries in all other body regions to create a cohort of isolated TBI patients. Results: A total of 15,153 patients treated at 35 trauma centers were available for analysis. Patients were divided into 4 cohort groupings related to preinjury BB use and postinjury receipt of BB. The odds of mortality was significantly reduced for patients with a TBI on a preinjury BB who had the medication continued in the acute setting (as compared with patients on preinjury BB who did not) (odds ratio [OR], 0.73; 95% confidence interval [CI], 0.54-0.98; P = 0.04). Patients with a TBI who were not on preinjury BB did not benefit from de novo initiation of BB with regard to mortality (OR, 0.83; 95% CI, 0.64-1.08; P = 0.2). In the sensitivity analysis, excluding polytrauma patients, patients on preinjury BB who had BB continued had a reduction in mortality when compared with patients in which BB was stopped following a TBI (OR, 0.65; 95% CI, 0.47-0.91; P = 0.01). Conclusions: Continuing BB is associated with reduced odds of mortality in patients with a TBI on preinjury BB. We were unable to demonstrate benefit from instituting beta blockade in patients who are not on a BB preinjury.

Impact of state opioid laws on prescribing in trauma patients.

BACKGROUND: Excessive opioid prescribing has resulted in opioid diversion and misuse. In July 2018, Michigan's Public Act 251 established a state-wide policy limiting opioid prescriptions for acute pain to a 7-day supply. Traumatic injury increases the risk for new persistent opioid use, yet the impact of prescribing policy in trauma patients remains unknown. To determine the relationship between policy enactment and prescribing in trauma patients, we compared oral morphine equivalents prescribed at discharge before and after implementation of Public Act 251. METHODS: In this cross-sectional study, adult patients who received any oral opioids at discharge from a Level 1 trauma center between January 1, 2016, and June 30, 2021, were identified. The exposure was patients admitted starting July 1, 2018. Inpatient oral morphine equivalents per day 48 hours before discharge and discharge prescription oral morphine equivalents per day were calculated. Student's t test and an interrupted time series analysis were performed to compare mean oral morphine equivalents per day pre- and post-policy. Multivariable risk adjustment accounted for patient/injury factors and inpatient oral morphine equivalent use. RESULTS: A total of 3,748 patients were included in the study (pre-policy n = 1,685; post-policy n = 2,063). Implementation of the prescribing policy was associated with a significant decrease in mean discharge oral morphine equivalents per day (34.8 ± 49.5 vs 16.7 ± 32.3, P < .001). After risk adjustment, post-policy discharge prescriptions differed by -19.2 oral morphine equivalents per day (95% CI -21.7 to -16.8, P < .001). The proportion of patients obtaining a refill prescription 30 days post-discharge did not increase after implementation (0.38 ± 0.48 vs 0.37 ± 0.48, P = .7). CONCLUSION: Discharge prescription amounts for opioids in trauma patients decreased by approximately one-half after the implementation of opioid prescribing policies, and there was no compensatory increase in subsequent refill prescriptions. Future work is needed to evaluate the effect of these policies on the adequacy of pain management and functional recovery after injury.

Association of Intellectual Disability with Delayed Presentation and Worse Outcomes in Emergency General Surgery.

OBJECTIVE: To examine the association between intellectual disability and both severity of disease and clinical outcomes among patients presenting with common emergency general surgery (EGS) conditions. BACKGROUND: Accurate and timely diagnosis of EGS conditions is crucial for optimal management and patient outcomes. Individuals with intellectual disabilities may be at increased risk of delayed presentation and worse outcomes for EGS; however, little is known about surgical outcomes in this population. METHODS: Using the 2012-2017 Nationwide Inpatient Sample, we conducted a retrospective cohort analysis of adult patients admitted for 9 common EGS conditions. We performed multivariable logistic and linear regression to examine the association between intellectual disability and the following outcomes: EGS disease severity at presentation, any surgery, complications, mortality, length of stay, discharge disposition, and inpatient costs. Analyses were adjusted for patient demographics and facility traits. RESULTS: Of 1,317,572 adult EGS admissions, 5,062 (0.38%) patients had a concurrent ICD-9/-10 code consistent with intellectual disability. EGS patients with intellectual disabilities had 31% higher odds of more severe disease at presentation compared with neurotypical patients (aOR 1.31; 95% CI 1.17-1.48). Intellectual disability was also associated with a higher rate of complications and mortality, longer lengths of stay, lower rate of discharge to home, and higher inpatient costs. CONCLUSION: EGS patients with intellectual disabilities are at increased risk of more severe presentation and worse outcomes. The underlying causes of delayed presentation and worse outcomes must be better characterized to address the disparities in surgical care for this often under-recognized but highly vulnerable population.

The National Provider Identifier Taxonomy: Does it Align With a Surgeon's Actual Clinical Practice?

INTRODUCTION: The taxonomy code(s) associated with each National Provider Identifier (NPI) entry should characterize the provider's role (e.g., physician) and any specialization (e.g., orthopedic surgery). While the intent of the taxonomy system was to monitor medical appropriateness and the expertise of care provided, this system is now being used by researchers to identify providers and their practices. It is unknown how accurate the taxonomy codes are in describing a provider's true specialization. METHODS: Department websites of orthopedic surgery and general surgery from three large academic institutions were queried for practicing surgeons. The surgeon's specialty and subspeciality information listed was compared to the provider's taxonomy code(s) listed on the National Plan and Provider Enumeration System (NPPES). The match rate between these data sources was evaluated based on the specialty, subspecialty, and institution. RESULTS: There were 295 surgeons (205 general surgery and 90 orthopedic surgery) and 24 relevant taxonomies (8 orthopedic and 16 general or plastic) for analysis. Of these, 294 surgeons (99%) selected their general specialty taxonomy correctly, while only 189 (64%) correctly chose an appropriate subspecialty. General surgeons correctly chose a subspecialty more often than orthopedic surgeons (70 versus 51%, P = 0.002). The institution did not affect either match rate, however there were some differences noted in subspecialty match rates inside individual departments. CONCLUSIONS: In these institutions, the NPI taxonomy is not accurate for describing a surgeon's subspecialty or actual practice. Caution should be taken when utilizing this variable to describe a surgeon's subspecialization as our findings might apply in other groups.

Changes in patterns of traumatic brain injury in the Michigan Trauma Quality Improvement Program database early in the COVID-19 pandemic.

OBJECTIVE: The authors' objective was to investigate the impact of the global COVID-19 pandemic on hospital presentation and process of care for the treatment of traumatic brain injuries (TBIs). Improved understanding of these effects will inform sociopolitical and hospital policies in response to future pandemics. METHODS: The Michigan Trauma Quality Improvement Program (MTQIP) database, which contains data from 36 level I and II trauma centers in Michigan and Minnesota, was queried to identify patients who sustained TBI on the basis of head/neck Abbreviated Injury Scale (AIS) codes during the periods of March 13 through July 2 of 2017-2019 (pre-COVID-19 period) and March 13, 2020, through July 2, 2020 (COVID-19 period). Analyses were performed to detect differences in incidence, patient characteristics, injury severity, and outcomes. RESULTS: There was an 18% decrease in the rate of encounters with TBI in the first 8 weeks (March 13 through May 7), followed by a 16% increase during the last 8 weeks (May 8 through July 2), of our COVID-19 period compared with the pre-COVID-19 period. Cumulatively, there was no difference in the rates of encounters with TBI between the COVID-19 and pre-COVID-19 periods. Severity of TBI, as measured with maximum AIS score for the head/neck region and Glasgow Coma Scale score, was also similar between periods. During the COVID-19 period, a greater proportion of patients with TBI presented more than a day after sustaining their injuries (p = 0.046). COVID-19 was also associated with a doubling in the decubitus ulcer rate from 1.0% to 2.1% (p = 0.002) and change in the distribution of discharge status (p = 0.01). Multivariable analysis showed no differences in odds of death/hospice discharge, intensive care unit stay of at least a day, or need for a ventilator for at least a day between the COVID-19 and pre-COVID-19 periods. CONCLUSIONS: During the early months of the COVID-19 pandemic, the number of patients who presented with TBI was initially lower than in the years 2017-2019 prior to the pandemic. However, there was a subsequent increase in the rate of encounters with TBI, resulting in overall similar rates of TBI between March 13 through July 2 during the COVID-19 period and during the pre-COVID-19 period. The COVID-19 cohort was also associated with negative impacts on time to presentation, rate of decubitus ulcers, and discharge with supervision. Policies in response to future pandemics must consider the resources necessary to care for patients with TBI.

Burn Resuscitation Practices in North America: Results of the Acute Burn ResUscitation Multicenter Prospective Trial (ABRUPT).

OBJECTIVES: ABRUPT was a prospective, noninterventional, observational study of resuscitation practices at 21 burn centers. The primary goal was to examine burn resuscitation with albumin or crystalloids alone, to design a future prospective randomized trial. SUMMARY BACKGROUND DATA: No modern prospective study has determined whether to use colloids or crystalloids for acute burn resuscitation. METHODS: Patients ≥18 years with burns ≥ 20% total body surface area (TBSA) had hourly documentation of resuscitation parameters for 48 hours. Patients received either crystalloids alone or had albumin supplemented to crystalloid based on center protocols. RESULTS: Of 379 enrollees, two-thirds (253) were resuscitated with albumin and one-third (126) were resuscitated with crystalloid alone. Albumin patients received more total fluid than Crystalloid patients (5.2 ± 2.3 vs 3.7 ± 1.7 mL/kg/% TBSA burn/24 hours), but patients in the Albumin Group were older, had larger burns, higher admission Sequential Organ Failure Assessment (SOFA) scores, and more inhalation injury. Albumin lowered the in-to-out (I/O) ratio and was started ≤12 hours in patients with the highest initial fluid requirements, given >12 hours with intermediate requirements, and avoided in patients who responded to crystalloid alone. CONCLUSIONS: Albumin use is associated with older age, larger and deeper burns, and more severe organ dysfunction at presentation. Albumin supplementation is started when initial crystalloid rates are above expected targets and improves the I/O ratio. The fluid received in the first 24 hours was at or above the Parkland Formula estimate.

Application of power analysis to determine the optimal reporting time frame for use in statewide trauma system quality reporting.

BACKGROUND: Meaningful reporting of quality metrics relies on detecting a statistical difference when a true difference in performance exists. Larger cohorts and longer time frames can produce higher rates of statistical differences. However, older data are less relevant when attempting to enact change in the clinical setting. The selection of time frames must reflect a balance between being too small (type II errors) and too long (stale data). We explored the use of power analysis to optimize time frame selection for trauma quality reporting. METHODS: Using data from 22 Level III trauma centers, we tested for differences in 4 outcomes within 4 cohorts of patients. With bootstrapping, we calculated the power for rejecting the null hypothesis that no difference exists amongst the centers for different time frames. From the entire sample for each site, we simulated randomly generated datasets. Each simulated dataset was tested for whether a difference was observed from the average. Power was calculated as the percentage of simulated datasets where a difference was observed. This process was repeated for each outcome. RESULTS: The power calculations for the 4 cohorts revealed that the optimal time frame for Level III trauma centers to assess whether a single site's outcomes are different from the overall average was 2 years based on an 80% cutoff. CONCLUSION: Power analysis with simulated datasets allows testing of different time frames to assess outcome differences. This type of analysis allows selection of an optimal time frame for benchmarking of Level III trauma center data.

Evaluating the complex association between Social Vulnerability Index and trauma mortality.

INTRODUCTION: Social determinants of health are known to impact patient-level outcomes, but they are often difficult to measure. The Social Vulnerability Index was created by the Centers for Disease Control to identify vulnerable communities using population-based measures. However, the relationship between SVI and trauma outcomes is poorly understood. METHODS: In this retrospective study, we merged SVI data with a statewide trauma registry and used three analytic models to evaluate the association between SVI quartile and inpatient trauma mortality: (1) an unadjusted model, (2) a claims-based model using only covariates available to claims datasets, and (3) a registry-based model incorporating robust clinical variables collected in accordance with the National Trauma Data Standard. RESULTS: We identified 83,607 adult trauma admissions from January 1, 2017, to September 30, 2020. Higher SVI was associated with worse mortality in the unadjusted model (odds ratio, 1.72 [95% confidence interval, 1.30-2.29] for highest vs. lowest SVI quintile). A weaker association between SVI and mortality was identified after adjusting for covariates common to claims data. Finally, there was no significant association between SVI and inpatient mortality after adjusting for covariates common to robust trauma registries (adjusted odds ratio, 1.10 [95% confidence interval, 0.80-1.53] for highest vs. lowest SVI quintile). Higher SVI was also associated with a higher likelihood of presenting with penetrating injuries, a shock index of >0.9, any Abbreviated Injury Scale score of >5, or in need of a blood transfusion (p < 0.05 for all). CONCLUSION: Patients living in communities with greater social vulnerability are more likely to die after trauma admission. However, after risk adjustment with robust clinical covariates, this association was no longer significant. Our findings suggest that the inequitable burden of trauma mortality is not driven by variation in quality of treatment, but rather in the lethality of injuries. As such, improving trauma survival among high-risk communities will require interventions and policies that target social and structural inequities upstream of trauma center admission. LEVEL OF EVIDENCE: Prognostic / Epidemiologic, Level IV.

Failure to rescue in trauma: Early and late mortality in low- and high-performing trauma centers.

BACKGROUND: Failure to rescue (FTR) is defined as mortality following a complication. Failure to rescue has come under scrutiny as a quality metric to compare trauma centers. In contrast to elective surgery, trauma has an early period of high expected mortality because of injury sequelae rather than a complication. Here, we report FTR in early and late mortality using an externally validated trauma patient database, hypothesizing that centers with higher risk-adjusted mortality rates have higher risk-adjusted FTR rates. METHODS: The study included 114,220 patients at 34 Levels I and II trauma centers in a statewide quality collaborative (2016-2020) with Injury Severity Score of ≥5. Emergency department deaths were excluded. Multivariate regression models were used to produce center-level adjusted rates for mortality and major complications. Centers were ranked on adjusted mortality rate and divided into quintiles. Early deaths (within 48 hours of presentation) and late deaths (after 48 hours) were analyzed. RESULTS: Overall, 6.7% of patients had a major complication and 3.1% died. There was no difference in the mean risk-adjusted complication rate among the centers. Failure to rescue was significantly different across the quintiles (13.8% at the very low-mortality centers vs. 23.4% at the very-high-mortality centers, p < 0.001). For early deaths, there was no difference in FTR rates among the highest and lowest mortality quintiles. For late deaths, there was a twofold increase in the FTR rate between the lowest and highest mortality centers (9.7% vs. 19.3%, p < 0.001), despite no difference in the rates of major complications (5.9% vs. 6.0%, p = 0.42). CONCLUSION: Low-performing trauma centers have higher mortality rates and lower rates of rescue following major complications. These differences are most evident in patients who survive the first 48 hours after injury. A better understanding of the complications and their role in mortality after 48 hours is an area of interest for quality improvement efforts. LEVEL OF EVIDENCE: Prognostic and Epidemiologic; Level III.

Emergency General Surgery Quality Improvement: A Review of Recommended Structure and Key Issues.

Emergency general surgery (EGS) accounts for 11% of hospital admissions, with more than 3 million admissions per year and more than 50% of operative mortality in the US. Recent research into EGS has ignited multiple quality improvement initiatives, and the process of developing national standards and verification in EGS has been initiated. Such programs for quality improvement in EGS include registry formation, protocol and standards creation, evidenced-based protocols, disease-specific protocol implementation, regional collaboratives, targeting of high-risk procedures such as exploratory laparotomy, focus on special populations like geriatrics, and targeting improvements in high opportunity outcomes such as failure to rescue. The authors present a collective narrative review of advances in quality improvement structure in EGS in recent years and summarize plans for a national EGS registry and American College of Surgeons verification for this under-resourced area of surgery.

Extending Trauma Quality Improvement Beyond Trauma Centers: Hospital Variation in Outcomes Among Nontrauma Hospitals.

OBJECTIVE: The American College of Surgeons (ACS) conducts a robust quality improvement program for ACS-verified trauma centers, yet many injured patients receive care at non-accredited facilities. This study tested for variation in outcomes across non-trauma hospitals and characterized hospitals associated with increased mortality. SUMMARY BACKGROUND DATA: The study included state trauma registry data of 37,670 patients treated between January 1, 2013, and December 31, 2015. Clinical data were supplemented with data from the American Hospital Association and US Department of Agriculture, allowing comparisons among 100 nontrauma hospitals. METHODS: Using Bayesian techniques, risk-adjusted and reliability-adjusted rates of mortality and interfacility transfer, as well as Emergency Departments length-of-stay (ED-LOS) among patients transferred from EDs were calculated for each hospital. Subgroup analyses were performed for patients ages >55 years and those with decreased Glasgow coma scores (GCS). Multiple imputation was used to address missing data. RESULTS: Mortality varied 3-fold (0.9%-3.1%); interfacility transfer rates varied 46-fold (2.1%-95.6%); and mean ED-LOS varied 3-fold (81-231 minutes). Hospitals that were high and low statistical outliers were identified for each outcome, and subgroup analyses demonstrated comparable hospital variation. Metropolitan hospitals were associated increased mortality [odds ratio (OR) 1.7, P = 0.004], decreased likelihood of interfacility transfer (OR 0.7, P ≤ 0.001), and increased ED-LOS (coef. 0.1, P ≤ 0.001) when compared with nonmetropolitan hospitals and risk-adjusted. CONCLUSIONS: Wide variation in trauma outcomes exists across nontrauma hospitals. Efforts to improve trauma quality should include engagement of nontrauma hospitals to reduce variation in outcomes of injured patients treated at those facilities.

Sources of Postacute Care Episode Payment Variation After Traumatic Hip Fracture Repair Among Medicare Beneficiaries: Cross-Sectional Retrospective Study.

The objective of this study was to evaluate how much variation in postacute care (PAC) spending after traumatic hip fracture exists between hospitals, and to what degree this variation is explained by patient factors, hospital factors, PAC setting, and PAC intensity. Background: Traumatic hip fracture is a common and costly event. This is particularly relevant given our aging population and that a substantial proportion of these patients are discharged to PAC settings. Methods: It is a cross-sectional retrospective study. In a retrospective review using Medicare claims data between 2014 and 2019, we identified PAC payments within 90 days of hospitalization discharges and grouped hospitals into quintiles of PAC spending. The degree of variation present in PAC spending across hospital quintiles was evaluated after accounting for patient case-mix factors and hospital characteristics using multivariable regression models, adjusting for PAC setting choice by fixing the proportion of PAC discharge disposition across hospital quintiles, and adjusting for PAC intensity by fixing the amount of PAC spending across hospital quintiles. The study pool included 125,745 Medicare beneficiaries who underwent operative management for traumatic hip fracture in 2078 hospitals. The primary outcome was PAC spending within 90 days of discharge following hospitalization for traumatic hip fracture. Results: Mean PAC spending varied widely between top versus bottom spending hospital quintiles ($31,831 vs $17,681). After price standardization, the difference between top versus bottom spending hospital quintiles was $8,964. Variation between hospitals decreased substantially after adjustment for PAC setting ($25,392 vs $21,274) or for PAC intensity ($25,082 vs $21,292) with little variation explained by patient or hospital factors. Conclusions: There was significant variation in PAC payments after a traumatic hip fracture between the highest- and lowest-spending hospital quintiles. Most of this variation was explained by choice of PAC discharge setting and intensity of PAC spending, not patient or hospital characteristics. These findings suggest potential systems-level inefficiencies that can be targeted for intervention to improve the appropriateness and value of healthcare spending.