Patient and Hospital Characteristics Associated with Admission Among Patients With Minor Isolated Extremity Firearm Injuries: A Propensity-Matched Analysis.

Objective: To quantify the association between insurance and hospital admission following minor isolated extremity firearm injury. Background: The association between insurance and injury admission has not been examined. Methods: This was an observational retrospective cohort study of minor isolated extremity firearm injury captured in the Healthcare Cost and Utilization Project State Inpatient and Emergency Department Databases in 6 states (New York, Arkansas, Wisconsin, Massachusetts, Florida, and Maryland) from 2016 to 2017 among patients aged 16 years or older. The primary exposure was insurance. Admitted patients were propensity score matched to nonadmitted patients on age, extremity Abbreviated Injury Score, and Elixhauser Comorbidity Index with exact matching within hospital to adjust for selection bias. A general estimating equation logistic regression estimated the association between insurance and odds of admission in the matched cohort while controlling for sex, race, injury intent, injury type, hospital profit type, and trauma center designation with observations clustered by propensity score-matched pairs within hospital. Results: A total of 8151 patients presented to hospital with a minor isolated extremity firearm injury between 2016 and 2017 in 6 states. Patients were 88.0% male, 56.6% Black, and 71.7% aged 16 to 36 years old, and 22.1% were admitted. A total of 2090 patients were matched on propensity for admission. Privately insured matched patients had 1.70 higher adjusted odds of admission and 95% confidence interval of 1.30 to 2.22, compared with uninsured after adjusting for patient and hospital characteristics. Conclusions: Insurance was associated with hospital admission for minor isolated extremity firearm injury.

Morbidity and Length of Stay After Injury Among People Experiencing Homelessness in North America.

Importance: Traumatic injury is a leading cause of hospitalization among people experiencing homelessness. However, hospital course among this population is unknown. Objective: To evaluate whether homelessness was associated with increased morbidity and length of stay (LOS) after hospitalization for traumatic injury and whether associations between homelessness and LOS were moderated by age and/or Injury Severity Score (ISS). Design, Setting, and Participants: This retrospective cohort study of the American College of Surgeons Trauma Quality Programs (TQP) included patients 18 years or older who were hospitalized after an injury and discharged alive from 787 hospitals in North America from January 1, 2017, to December 31, 2018. People experiencing homelessness were propensity matched to housed patients for hospital, sex, insurance type, comorbidity, injury mechanism type, injury body region, and Glasgow Coma Scale score. Data were analyzed from February 1, 2022, to May 31, 2023. Exposures: People experiencing homelessness were identified using the TQP's alternate home residence variable. Main Outcomes and Measures: Morbidity, hemorrhage control surgery, and intensive care unit (ICU) admission were assessed. Associations between homelessness and LOS (in days) were tested with hierarchical multivariable negative bionomial regression. Moderation effects of age and ISS on the association between homelessness and LOS were evaluated with interaction terms. Results: Of 1 441 982 patients (mean [SD] age, 55.1 [21.1] years; (822 491 [57.0%] men, 619 337 [43.0%] women, and 154 [0.01%] missing), 9065 (0.6%) were people experiencing homelessness. Unmatched people experiencing homelessness demonstrated higher rates of morbidity (221 [2.4%] vs 25 134 [1.8%]; P < .001), hemorrhage control surgery (289 [3.2%] vs 20 331 [1.4%]; P < .001), and ICU admission (2353 [26.0%] vs 307 714 [21.5%]; P < .001) compared with housed patients. The matched cohort comprised 8665 pairs at 378 hospitals. Differences in rates of morbidity, hemorrhage control surgery, and ICU admission between people experiencing homelessness and matched housed patients were not statistically significant. The median unadjusted LOS was 5 (IQR, 3-10) days among people experiencing homelessness and 4 (IQR, 2-8) days among matched housed patients (P < .001). People experiencing homelessness experienced a 22.1% longer adjusted LOS (incident rate ratio [IRR], 1.22 [95% CI, 1.19-1.25]). The greatest increase in adjusted LOS was observed among people experiencing homelessness who were 65 years or older (IRR, 1.42 [95% CI, 1.32-1.54]). People experiencing homelessness with minor injury (ISS, 1-8) had the greatest relative increase in adjusted LOS (IRR, 1.30 [95% CI, 1.25-1.35]) compared with people experiencing homelessness with severe injury (ISS ≥16; IRR, 1.14 [95% CI, 1.09-1.20]). Conclusions and Relevance: The findings of this cohort study suggest that challenges in providing safe discharge to people experiencing homelessness after injury may lead to prolonged LOS. These findings underscore the need to reduce disparities in trauma outcomes and improve hospital resource use among people experiencing homelessness.

Hospital variability in adoption of alcohol and drug screening in adult trauma patients.

BACKGROUND: Despite recommendations to screen all injured patients for substance use, single-center studies have reported underscreening. This study sought to determine if there was significant practice variability in adoption of alcohol and drug screening of injured patients among hospitals participating in the Trauma Quality Improvement Program. METHODS: This was a retrospective observational cross-sectional study of trauma patients 18 years or older in Trauma Quality Improvement Program 2017-2018. Hierarchical multivariable logistic regression modeled the odds of screening for alcohol and drugs via blood/urine test while controlling for patient and hospital variables. We identified statistically significant high and low-screening hospitals based on hospitals' estimated random intercepts and associated confidence intervals (CIs). RESULTS: Of 1,282,111 patients at 744 hospitals, 619,423 (48.3%) were screened for alcohol, and 388,732 (30.3%) were screened for drugs. Hospital-level alcohol screening rates ranged from 0.8% to 99.7%, with a mean rate of 42.4% (SD, 25.1%). Hospital-level drug screening rates ranged from 0.2% to 99.9% (mean, 27.1%; SD, 20.2%). A total of 37.1% (95% CI, 34.7-39.6%) of variance in alcohol screening and 31.5% (95% CI, 29.2-33.9%) of variance in drug screening were at the hospital level. Level I/II trauma centers had higher adjusted odds of alcohol screening (adjusted odds ratio [aOR], 1.31; 95% CI, 1.22-1.41) and drug screening (aOR, 1.16; 95% CI, 1.08-1.25) than Level III and nontrauma centers. We found 297 low-screening and 307 high-screening hospitals in alcohol after adjusting for patient and hospital variables. There were 298 low-screening and 298 high-screening hospitals for drugs. CONCLUSION: Overall rates of recommended alcohol and drug screening of injured patients were low and varied significantly between hospitals. These results underscore an important opportunity to improve the care of injured patients and reduce rates of substance use and trauma recidivism. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level III.

Patient and Hospital Characteristics Associated With Delayed Diagnosis of Appendicitis.

Importance: Racial disparities in timely diagnosis and treatment of surgical conditions exist; however, it is poorly understood whether there are hospital structural measures or patient-level characteristics that modify this phenomenon. Objective: To assess whether patient race and ethnicity are associated with delayed appendicitis diagnosis and postoperative 30-day hospital use and whether there are patient- or systems-level factors that modify this association. Design, Setting, and Participants: This population-based, retrospective cohort study used data from the Healthcare Cost and Utilization Project's state inpatient and emergency department (ED) databases from 4 states (Florida, Maryland, New York, and Wisconsin) for patients aged 18 to 64 years who underwent appendectomy from January 7, 2016, to December 1, 2017. Data were analyzed from January 1, 2016, to December 31, 2017. Exposure: Delayed diagnosis of appendicitis, defined as an initial ED presentation with an abdominal diagnosis other than appendicitis followed by re-presentation within a week for appendectomy. Main Outcomes and Measures: A mixed-effects multivariable Poisson regression model was used to estimate the association of delayed diagnosis of appendicitis with race and ethnicity while controlling for patient and hospital variables. A second mixed-effects multivariable Poisson regression model quantified the association of delayed diagnosis of appendicitis with postoperative 30-day hospital use. Results: Of 80 312 patients who received an appendectomy during the study period (median age, 38 years [IQR, 27-50 years]; 50.8% female), 2013 (2.5%) experienced delayed diagnosis. In the entire cohort, 2.9% of patients were Asian or Pacific Islander, 18.8% were Hispanic, 10.9% were non-Hispanic Black, 60.8% were non-Hispanic White, and 6.6% were other race and ethnicity; most were privately insured (60.2%). Non-Hispanic Black patients had a 1.41 (95% CI, 1.21-1.63) times higher adjusted rate of delayed diagnosis compared with non-Hispanic White patients. Patients at hospitals with a more than 50% Black or Hispanic population had a 0.73 (95% CI, 0.59-0.91) decreased adjusted rate of delayed appendicitis diagnosis compared with hospitals with a less than 25% Black or Hispanic population. Conversely, patients at hospitals with more than 50% of discharges of Medicaid patients had a 3.51 (95% CI, 1.69-7.28) higher adjusted rate of delayed diagnosis compared with hospitals with less than 10% of discharges of Medicaid patients. Additional factors associated with delayed diagnosis included female sex, higher levels of patient comorbidity, and living in a low-income zip code. Delayed diagnosis was associated with a 1.38 (95% CI, 1.36-1.61) increased adjusted rate of postoperative 30-day hospital use. Conclusions and Relevance: In this cohort study, non-Hispanic Black patients had higher rates of delayed appendicitis diagnosis and 30-day hospital use than White patients. Patients presenting to hospitals with a greater than 50% Black and Hispanic population were less likely to experience delayed diagnosis, suggesting that seeking care at a hospital that serves a diverse patient population may help mitigate the increased rate of delayed diagnosis observed for non-Hispanic Black patients.

Sex-Based Disparities in Timeliness of Trauma Care and Discharge Disposition.

Importance: Differences in time to diagnostic and therapeutic measures can contribute to disparities in outcomes. However, whether there is an association of timeliness by sex for trauma patients is unknown. Objective: To investigate whether sex-based differences in time to definitive interventions exist for trauma patients in the US and whether these differences are associated with outcomes. Design, Setting, and Participants: This was a retrospective cohort study conducted from July 2020 to July 2021, using the 2013 to 2016 Trauma Quality Improvement Program (TQIP) databases from level I to III trauma centers in the US. Patients 18 years or older with an Injury Severity Score (ISS) greater than 15 and who carried diagnoses of traumatic brain injury, intra-abdominal injury, pelvic fracture, femur fracture, and spinal injury as a result of their trauma were included in the study. Data were analyzed from July 2020 to July 2021. Main Outcomes and Measures: Primary outcomes assessed timeliness to interventions, using Wilcoxon signed rank and χ2 tests. Secondary outcomes included location of discharge after injury, using propensity score-matched generalized estimating equations modeling. Results: Of the 28 332 patients included, 20 002 (70.6%) were male patients (mean [SD] age, 43.3 [18.2] years) and 8330 (29.4%) were female patients (mean [SD] age, 48.5 [21.1] years), with significantly different distributions of ISS scores (ISS score 16-24: male patient, 10 622 [53.1%]; female patient, 4684 [56.2%]; ISS score 41-74: male patient, 2052 [10.3%]; female patient, 852 [10.2%]). Male patients more frequently had abdominal (4257 [21.3%] vs 1268 [15.2%]) and spinal cord (3989 [20.0%] vs 1274 [15.3%]) injuries, whereas female patients experienced greater proportions of femur (3670 [44.0%] vs 8422 [42.1%]) and pelvic (3970 [47.6%] vs 6963 [34.8%]) fractures. Female patients experienced significantly longer emergency department length of stay (median [IQR], 184 [92-314] minutes vs 172 [86-289] minutes; P < .001), longer time in pretriage (median [IQR], 52 [36-80] minutes vs 49 [34-77] minutes; P < .001), and increased likelihood of discharge to nursing or long-term care facilities instead of home after matching by age, ISS, mechanism, and injury type (male patient:female patient, odds ratio, 0.72; 95% CI, 0.67-0.78). Conclusions and Relevance: Results of this cohort study suggest that female trauma patients experienced slightly longer delays in trauma care and had a higher likelihood of discharge to long-term care facilities than their male counterparts.

Time to OR for patients with abdominal gunshot wounds: A potential process measure to assess the quality of trauma care?

BACKGROUND: Abdominal gunshot wounds (GSWs) require rapid assessment and operative intervention to reduce the risk of death and complications. We sought to determine if time to the operating room (OR) might be a useful process measure for the assessment of trauma care quality. We evaluated the facility benchmark time to OR for patients with serious injury and whether this was associated with lower rates of complications and mortality. METHODS: We evaluated time to OR for adult patients with an abdominal GSW presenting in shock to American College of Surgeons Trauma Quality Improvement Program centers from 2015 to 2020. We calculated the 75th percentile time to the OR for each center and characterized centers as average, slow, or fast. We compared patient and facility characteristics across outlier status, as well as risk-adjusted complications and mortality using hierarchical multivariable logistic regression models. RESULTS: There were 4,027 patients in 230 centers that met the inclusion criteria. Mortality was 28%. There were 61 (27%) fast and 52 (23%) slow centers. The median time for slow centers was 83 minutes (68-94 minutes) compared with fast centers, 35 minutes (32-38 minutes). Injury Severity Score and emergency department vital signs were similar across centers. Fast hospitals had higher total case volumes, more cases per surgeon, and were more likely to be Level I centers. Patients cared for in these centers had similar risk-adjusted rates of complications and mortality. CONCLUSION: Time to OR for patients with abdominal GSWs and shock might be a useful process measure to evaluate rapid decision making and OR access. Surgeon and center experience as measured by annual case volumes, coupled with a rapid surgical response required through Level I trauma center standards might be contributory. There was no association between outlier status and complications or mortality suggesting other factors apart from time to the OR are of greater significance. LEVEL OF EVIDENCE: Therapeutic/care management, Level IV.