Barriers and Facilitators to End-of-Life Care Delivery in ICUs: A Qualitative Study.

OBJECTIVES: To understand frontline ICU clinician's perceptions of end-of-life care delivery in the ICU. DESIGN: Qualitative observational cross-sectional study. SETTING: Seven ICUs across three hospitals in an integrated academic health system. SUBJECTS: ICU clinicians (physicians [critical care, palliative care], advanced practice providers, nurses, social workers, chaplains). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: In total, 27 semi-structured interviews were conducted, recorded, and transcribed. The research team reviewed all transcripts inductively to develop a codebook. Thematic analysis was conducted through coding, category formulation, and sorting for data reduction to identify central themes. Deductive reasoning facilitated data category formulation and thematic structuring anchored on the Systems Engineering Initiative for Patient Safety model identified that work systems (people, environment, tools, tasks) lead to processes and outcomes. Four themes were barriers or facilitators to end-of-life care. First, work system barriers delayed end-of-life care communication among clinicians as well as between clinicians and families. For example, over-reliance on palliative care people in handling end-of-life discussions prevented timely end-of-life care discussions with families. Second, clinician-level variability existed in end-of-life communication tasks. For example, end-of-life care discussions varied greatly in process and outcomes depending on the clinician leading the conversation. Third, clinician-family-patient priorities or treatment goals were misaligned. Conversely, regular discussion and joint decisions facilitated higher familial confidence in end-of-life care delivery process. These detailed discussions between care teams aligned priorities and led to fewer situations where patients/families received conflicting information. Fourth, clinician moral distress occurred from providing nonbeneficial care. Interviewees reported standardized end-of-life care discussion process incorporated by the people in the work system including patient, family, and clinicians were foundational to delivering end-of-life care that reduced both patient and family suffering, as well as clinician moral distress. CONCLUSIONS: Standardized work system communication tasks may improve end-of life discussion processes between clinicians and families.

Access, Outcomes, and Costs Associated with Surgery for Malignancy Among People Experiencing Homelessness.

BACKGROUND: Little is known about surgery for malignancy among people experiencing homelessness (PEH). Poor healthcare access may lead to delayed diagnosis and need for unplanned surgery. This study aimed to (1) characterize access to care among PEH, (2) evaluate postoperative outcomes, and (3) assess costs associated with surgery for malignancy among PEH. METHODS: This was a retrospective cohort study of patients in the Healthcare Cost and Utilization Project (HCUP) who underwent surgery in Florida, New York, or Massachusetts for gastrointestinal or lung cancer from 2016 to 2017. PEH were identified using HCUP's "Homeless" variable and ICD-10 code Z59. Multivariable regression models controlling patient and hospital variables evaluated associations between homelessness and postoperative morbidity, length of stay (LOS), 30-day readmission, and hospitalization costs. RESULTS: Of 67,034 patients at 566 hospitals, 98 (0.2%) were PEH. Most PEH (44.9%) underwent surgery for colorectal cancer. PEH more frequently underwent unplanned surgery than housed patients (65.3% vs 23.7%, odds ratio (OR) 5.17, 95% confidence interval (CI) 3.00-8.92) and less often were treated at cancer centers (66.0% vs 76.2%, p=0.02). Morbidity rates were similar between groups (20.4% vs 14.5%, p=0.10). However, PEH demonstrated higher odds of facility discharge (OR 5.89, 95% CI 3.50-9.78) and readmission (OR 1.81, 95% CI 1.07-3.05) as well as 67.7% longer adjusted LOS (95% CI 42.0-98.2%). Adjusted costs were 32.7% higher (95% CI 14.5-53.9%) among PEH. CONCLUSIONS: PEH demonstrated increased odds of unplanned surgery, longer LOS, and increased costs. These results underscore a need for improved access to oncologic care for PEH.

Mixed Methods Assessment of Incivility During Surgical Mortality and Morbidity Conference.

OBJECTIVE: This study assessed incivility during Mortality and Morbidity (M&M) Conference. BACKGROUND: A psychologically safe environment at M&M Conference enables generative discussions to improve care. Incivility and exclusion demonstrated by "shame and blame" undermine generative discussion. METHODS: We used a convergent mixed-methods design to collect qualitative data through non-participant observations of M&M conference and quantitative data through standardized survey instruments of M&M participants. The M&M conference was attended by attending surgeons (all academic ranks), fellows, residents, medical students on surgery rotation, advanced practice providers, and administrators from the department of surgery. A standardized observation guide was developed, piloted and adapted based on expert non-participant feedback. The Positive and Negative Affect Schedule Short-Form (PANAS) and the Uncivil Behavior in Clinical Nursing Education (UBCNE) survey instruments were distributed to the Department of Surgery clinical faculty and categorical general surgery residents in an academic medical center. RESULTS: We observed 11 M&M discussions of 30 cases, over six months with four different moderators. Case presentations (virtual format) included clinical scenario, decision-making, operative management, complications, and management of the complications. Discussion was free form, without a standard structure. The central theme that limited discussion participation from attending surgeon of record, as well as absence of a systems-approach discussion led to blame and blame then set the stage for incivility. Among 147 eligible to participate in the survey, 54 (36.7%) responded. Assistant professors had a 2.60 higher Negative Affect score (p-value=0.02), a 4.13 higher Exclusion Behavior score (p-value=0.03), and a 7.6 higher UBCNE score (p-value=0.04) compared to associate and full professors. Females had a 2.7 higher Negative Affect Score compared to males (p-value=0.04). CONCLUSION: Free-form M&M discussions led to incivility. Structuring discussion to focus upon improving care may create inclusion and more generative discussions to improve care.

Is the Implementation of an Interprofessional Communication Smart Phone Application Associated With Improved Survival Among Critically Ill Surgical Patients?

INTRODUCTION: Patients admitted to intensive care units (ICUs) have high rates of mortality and morbidity. Improved communication between providers within ICUs may reduce morbidity. The goal of this study is to leverage a natural experiment of the temporally staggered implementation of a smart phone application for interprofessional communication to quantify the association with postoperative mortality and morbidity among critically ill surgical patients. METHODS: We conducted an observational case-control study and utilized a difference-in-difference model to determine the impact of temporally staggered implementation of an interprofessional communication smart phone application on mortality, postoperative hyperglycemia, malnutrition, venous thromboembolism (VTE), and surgical site infections. Our study included patients who underwent surgical procedures and were admitted to the ICU at one of three hospitals (one academic medical center, hospital A, and two community hospitals, hospitals B and C) in a single health system between March 2018 and April 2021. RESULTS: Our cohort consisted of 1457 patients, of which 1174 were hospitalized at hospital A and 283 at hospitals B and C. In the full cohort, 80 (5.6%) patients died during ICU admission. Difference-in-difference analysis demonstrated a relative difference in mortality of 4.8% [1.1%-8.5%] (P = 0.04) at hospitals B and C compared to hospital A after the implementation of the application. Our model demonstrated a 2.5% difference in VTEs [1.1%-3.8%], P = 0.03. There were no significant reductions in hyperglycemia, malnutrition, or surgical site infection. CONCLUSIONS: The implementation of an interprofessional communication smart phone application is associated with reduced mortality and VTE incidence among critically ill surgical patients across three diverse hospitals.

The association between gun shows and firearm injuries: An analysis of 259 gun shows across 23 US cities.

Guns shows are estimated to account for 4-9% of firearm sales in the US. Increased regulation of firearm sales at gun shows has been proposed as one approach to reducing firearm injury rates. This study evaluated the association between gun shows and local firearm injury rates. Data regarding the date and location of gun shows from 2017 to 2019 were abstracted from the Big Show Journal. Firearm injury rates were estimated using discharges from trauma centers serving counties within a 25-mile radius of each gun show. Clinical data were derived from the National Trauma Databank (NTDB). We used Poisson regression modeling to adjust for potential confounders including seasonality. We evaluated injury rates before and after 259 gun shows in 23 US locations using firearm injury data from 36 trauma centers. There were 1513 hospitalizations for firearm injuries pre-gun show and 1526 post-gun show. The adjusted mean 2-week rate of all-cause firearm injury per 1,000,000 person-years was 1.79 (1.16-2.76) before and 1.82 (1.18-2.83) after a gun show, with an incident rate ratio of 1.02 (0.94, 1.08). The adjusted mean 2-week rate did not vary significantly by intent after a gun show, (p = 0.24). Within two weeks after a gun show, rates of hospitalization for all-cause firearm injury do not increase significantly within the surrounding communities. The relatively small increase in available firearms after a show and the short time horizon evaluated may account for the absence of an association between gun show firearm sales and local firearm injury rates.

Emergency Department Length of Stay and Mortality in Critically Injured Patients.

OBJECTIVE: Multicenter data from 2 decades ago demonstrated that critically ill and injured patients spending more than 6 hours in the emergency department (ED) before transfer to the intensive care unit (ICU) had higher mortality rates. A contemporary analysis of ED length of stay in critically injured patients at American College of Surgeons' Trauma Quality Improvement Program (ACS-TQIP) centers was performed to test whether prolonged ED length of stay is still associated with mortality. METHODS: This was an observational cohort study of critically injured patients admitted directly to ICU from the ED in ACS-TQIP centers from 2010-2015. Spending more than 6 hours in the ED was defined as prolonged ED length of stay. Patients with prolonged ED length of stay were matched to those with non-prolonged ED length of stay and mortality was compared. MAIN RESULTS: A total of 113,097 patients were directly admitted from the ED to the ICU following injury. The median ED length of stay was 167 minutes. Prolonged ED length of stay occurred in 15,279 (13.5%) of patients. Women accounted for 29.4% of patients with prolonged ED length of stay but only 25.8% of patients with non-prolonged ED length of stay, P < 0.0001. Mortality rates were similar after matching-4.5% among patients with prolonged ED length of stay versus 4.2% among matched controls. Multivariable logistic regression of the matched cohorts demonstrated prolonged ED length of stay was not associated with mortality. However, women had higher adjusted mortality compared to men Odds Ratio = 1.41, 95% Confidence Interval 1.28 -1.61, P < 0.0001. CONCLUSION: Prolonged ED length of stay is no longer associated with mortality among critically injured patients. Women are more likely to have prolonged ED length of stay and mortality.

Managing acute cholecystitis among Medicaid insured in New York State: opportunities to optimize care.

BACKGROUND: Identifying sources of unnecessary cost within Medicaid will help focus cost containment efforts. This study sought to identify differences in surgical management and associated costs of cholecystitis between Medicaid and privately insured in New York State. METHODS: The New York State all-payer mandatory discharge database from 2003 to 2013, had 297,635 patients with Medicaid (75,512) and privately (222,123) insurance who underwent cholecystectomy for cholecystitis. Patients were stratified by insurance. Four surgical management approaches were delineated based on cholecystectomy timing: primary, interval, emergency, and delayed cholecystectomy. Delayed cholecystectomy was defined as more than one hospital visit from diagnosis to definitive cholecystectomy. Medicaid and privately insured patients were propensity score matched. Surgical management approach and associated costs were compared between matched cohorts. RESULTS: A greater proportion of Medicaid patients underwent delayed cholecystectomy compared to matched privately insured patients, 8.5 versus 4.8%; P < 0.001. Primary initial cholecystectomy was performed in fewer Medicaid compared to privately insured patients, 55.4 versus 66.0%, P < 0.001. Primary initial cholecystectomy was the cheapest surgical management approach, with the median cost of $3707, and delayed cholecystectomy was the most expensive, $12,212, P < 0.001. The median cost per Medicaid patient was $6170 versus $4804 per matched privately insured patient, P < 0.001. The annual predicted cost savings for New York State Medicaid would be $13,097,371, if the distribution of surgical management approaches were proportionally similar to private insurance. CONCLUSIONS: Medicaid patients with cholecystitis were more frequently managed with delayed cholecystectomy than privately insured patients, which had substantial cost implications for the New York Medicaid Program.

Hospital variation in rates of concurrent fundoplication during gastrostomy enteral access procedures.

BACKGROUND: This study aimed to determine whether (1) the propensity for concurrent fundoplication during gastrostomy varies among hospitals, and (2) postoperative morbidity differs among institutions performing fundoplication more or less frequently. METHODS: Children who underwent gastrostomy with or without concurrent fundoplication were identified in the American College of Surgeons National Surgical Quality Improvement Program Pediatric (ACS-NSQIP-P). A hierarchical multivariate regression modeled the excess effects that hospitals exerted over propensity for concurrent fundoplication adjusting for preoperative clinical variables. Hospitals were designated as low outliers (significantly lower-adjusted odds of concurrent fundoplication than the average hospital with similar patient mix), average hospitals, and high outliers based on their risk-adjusted concurrent fundoplication practice. The postoperative morbidity rates were compared among low-outlier, average, and high-outlier hospitals. RESULTS: Between 2011 and 2013, 3775 children underwent gastrostomy at one of 54 ACS-NSQIP-P participating hospitals. The mean hospital concurrent fundoplication rate was 11.7% (range 0-64%). There was no significant difference in unadjusted morbidity rate in children with concurrent fundoplication, 11.0% compared to 9.7% in children without concurrent fundoplication. After controlling for clinical variables, 8 hospitals were identified as low outliers (fundoplication rate of 0.4%) and 16 hospitals were identified as high outliers (fundoplication rate of 34.6%). The average unadjusted morbidity rate among hospitals with low, average, and high odds of concurrent fundoplication were 9.6, 10.6, and 8.4%, respectively. CONCLUSION: Hospitals vary significantly in propensity for concurrent fundoplication during gastrostomy yet postoperative morbidity does not differ significantly among institutions performing fundoplication more or less frequently.

Variation in intraoperative and postoperative red blood cell transfusion in pediatric surgery.

BACKGROUND: Intraoperative and postoperative red blood cell (RBC) transfusions are relatively frequent events tracked in the American College of Surgeons' National Surgical Quality Improvement Program-Pediatric (ACS-NSQIP-P). This study sought to quantify variation in RBC transfusion practices among hospitals. STUDY DESIGN AND METHODS: This is an observational study of children older than 28 days who underwent a general, neurologic, urologic, otolaryngologic, plastic, or orthopedic operation at 50 hospitals in participating in the ACS-NSQIP-P during 2011 to 2012. The primary outcome was whether or not a RBC transfusion was administered from incision time to 72 hours postoperatively. Transfusions of fresh-frozen plasma, cryoprecipitate, and platelets were excluded from data abstraction due the rarity of their administration. A multivariate hierarchical risk-adjustment model estimated the risk-adjusted hospital RBC transfusion odds ratio (OR) and designated hospitals by transfusion practice. RESULTS: The mean RBC transfusion rate was 1.5%. Five preoperative variables were associated with greater than threefold increased odds of having an intraoperative or postoperative RBC transfusion; young age; 29 days to 1 year (OR, 5.9; p < 0.001) and 1 to 2 years (OR, 3.4; p < 0.001); American Society of Anesthesiologists Class IV (OR, 3.2; p < 0.001); procedure linear risk (OR, 3.1; p < 0.001); preoperative septic shock (OR, 14.5; p < 0.001); and preoperative cardiopulmonary resuscitation (OR, 8.1; p < 0.001). Twenty-five hospitals had RBC transfusion practices significantly different than risk-adjusted mean (17 higher and eight lower). CONCLUSION: Intraoperative and postoperative RBC transfusion practices vary widely among hospitals after controlling for patient and procedural characteristics.

Focusing Quality Improvement Initiatives in Pediatric Plastic Surgery: A Descriptive Study Using the Pediatric National Surgical Quality Improvement Program.

BACKGROUND: The American College of Surgeons National Surgical Quality Improvement Program - Pediatrics uses a risk-adjusted, case-mix-adjusted methodology to compare quality of hospital-level surgical performance. This paper aims to focus quality improvement efforts on diagnoses that have large patient volume and high morbidity for pediatric plastic surgery. METHODS: Frequency statistics were generated for a cohort of patients under age 18 who underwent plastic surgery procedures at participating National Surgical Quality Improvement Program - Pediatrics hospitals from January 1, 2011 to December 31, 2012. RESULTS: Cleft lip and palate procedures were the leading contributor to serious adverse events (45.00%), and the second largest contributor to composite morbidity (37.73%) as well as hospital-acquired infections (21.23%). CONCLUSIONS: When focusing resources for relevant data collection and quality improvement efforts, it is important to consider procedures that are both substantial volume and result in relatively higher morbidity. A balance must be made between what is relevant to collect and what is feasible given finite resources. Cleft lip and/or palate procedures might provide an ideal opportunity for coordinated efforts that could ultimately improve care for pediatric plastic surgery patients.

Measuring risk-adjusted value using Medicare and ACS-NSQIP: is high-quality, low-cost surgical care achievable everywhere?

OBJECTIVE: To evaluate the relationship between risk-adjusted cost and quality for colectomy procedures and to identify characteristics of "high value" hospitals (high quality, low cost). BACKGROUND: Policymakers are currently focused on rewarding high-value health care. Hospitals will increasingly be held accountable for both quality and cost. METHODS: Records (2005-2008) for all patients undergoing colectomy procedures in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) were linked to Medicare inpatient claims. Cost was derived from hospital payments by Medicare. Quality was derived from the occurrence of 30-day postoperative major complications and/or death as recorded in ACS-NSQIP. Risk-adjusted cost and quality metrics were developed using hierarchical multivariable modeling, consistent with a National Quality Forum-endorsed colectomy measure. RESULTS: The study population included 14,745 colectomy patients in 169 hospitals. Average hospitalization cost was $21,350 (SD $20,773, median $16,092, interquartile range $14,341-$24,598). Thirty-four percent of patients had a postoperative complication and/or death. Higher hospital quality was significantly correlated with lower cost (correlation coefficient 0.38, P < 0.001). Among hospitals classified as high quality, 52% were found to be low cost (representing highest value hospitals) whereas 14% were high cost (P = 0.001). Forty-one percent of low-quality hospitals were high cost. Highest "value" hospitals represented a mix of teaching/nonteaching affiliation, small/large bed sizes, and regional locations. CONCLUSIONS: Using national ACS-NSQIP and Medicare data, this study reports an association between higher quality and lower cost surgical care. These results suggest that high-value surgical care is being delivered in a wide spectrum of hospitals and hospital types.

Surgeon views on firearm safety counseling in clinical practice: A cross-sectional survey.

BACKGROUND: Firearms are commonplace in the United States, and one proposed strategy to decrease risk of firearm injury is to have physicians counsel their patients about safe firearm ownership. Current rates of firearm safety counseling by surgeons who care for injured people are unknown. METHODS: This study used an anonymous cross-sectional survey derived from previously published survey instruments and was piloted (n = 13) at the annual meeting of the American Association for the Surgery of Trauma (2022). The finalized survey was distributed using a quick response code during two sessions at the 2022 American College of Surgeons Clinical Congress. Eligible participants included the surgeons and surgical trainees who attended these sessions. RESULTS: One hundred fourteen individuals completed the survey (20% response rate), and a majority were male (n = 71 [62.3%]), attending surgeons (n = 108 [94.7%]), and specialized in acute care surgery (n = 72 [63.2%]). Few participants (n = 43 [37.7%]) reported counseling patients on firearm safety as part of their routine clinical practice; however, the majority (n = 102 [89.5%]) believed that surgeons should provide firearm safety counseling. Counseling rates did not vary significantly by age, sex, surgical specialty, or region of practice, but attitudes toward counseling did differ by firearm safety counseling practices ( p = 0.03) and region of practice (0.04). Noted barriers to counseling included lack of time (n = 47 [41.2%]), perceived lack of training (n = 43 [37.7%]), and lack of firearm knowledge/experience (n = 36 [31.6%]). CONCLUSION: Most surgeon respondents did not provide firearm safety counseling to their patients despite the fact the majority believed they should. This suggests that counseling interventions that do not solely rely on surgeons for implementation could increase the number of patients who receive firearm safety guidance during clinical encounters. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level III.

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.

Appendicitis Hospitalization Care Costs Among Patients With Delayed Diagnosis of Appendicitis.

Importance: Delayed appendicitis diagnosis is associated with worse outcomes. Appendicitis hospital care costs associated with delayed diagnosis are unknown. Objective: To determine whether delayed appendicitis diagnosis was associated with increased appendicitis hospital care costs. Design, Setting, and Participants: This cohort study used data from patients receiving an appendectomy aged 18 to 64 years in 5 states (Florida, Maryland, Massachusetts, New York, Wisconsin) that were captured in the Healthcare Cost and Utilization Project State Inpatient and Emergency Department databases for the years 2016 and 2017 with no additional follow-up. Data were analyzed January through April 2023. Exposures: Delayed diagnosis was defined as a previous emergency department or inpatient hospital encounter with an abdominal diagnosis other than appendicitis, and no intervention 7 days prior to appendectomy encounter. Main Outcomes and Measures: The main outcome was appendicitis hospital care costs. This was calculated from aggregated charges of encounters 7 days prior to appendectomy, the appendectomy encounter, and 30 days postoperatively. Cost-to-charge ratios were applied to charges to obtain costs, which were then adjusted for wage index, inflation to 2022 US dollar, and with extreme outliers winsorized. A multivariable Poisson regression estimated appendicitis hospital care costs associated with a delayed diagnosis while controlling for age, sex, race and ethnicity, insurance status, care discontinuity, income quartile, hospital size, teaching status, medical school affiliation, percentage of Black and Hispanic patient discharges, core-based statistical area, and state. Results: There were 76 183 patients (38 939 female [51.1%]; 2192 Asian or Pacific Islander [2.9%], 14 132 Hispanic [18.5%], 8195 non-Hispanic Black [10.8%], 46 949 non-Hispanic White [61.6%]) underwent appendectomy, and 2045 (2.7%) had a delayed diagnosis. Delayed diagnosis patients had median (IQR) unadjusted cost of $11 099 ($6752-$17 740) compared with $9177 ($5575-$14 481) for nondelayed (P < .001). Patients with delayed diagnosis had 1.23 times (95% CI, 1.16-1.28 times) adjusted increased appendicitis hospital care costs. The mean marginal cost of delayed diagnosis was $2712 (95% CI, $2083-$3342). Even controlling for delayed diagnosis, non-Hispanic Black patients had 1.22 times (95% CI, 1.17-1.28 times) the adjusted increased appendicitis hospital care costs compared with non-Hispanic White patients. Conclusions and Relevance: In this cohort study, delayed diagnosis of appendicitis was associated with increased hospital care costs.

Comparison of Vital Sign Cutoffs to Identify Children With Major Trauma.

Importance: Vital signs are essential components in the triage of injured children. The Advanced Trauma Life Support (ATLS) and Pediatric Advanced Life Support (PALS) physiologic criteria are frequently used for trauma assessments. Objective: To evaluate the performance of ATLS and PALS criteria vs empirically derived criteria for identifying major trauma in children. Design, Setting, and Participants: This retrospective cohort study used 2021 American College of Surgeons Trauma Quality Improvement Program (TQIP) data contributed by US trauma centers. Included encounters involved pediatric patients (aged <18 years) with severe injury, excluding those who experienced out-of-hospital cardiac arrest, were receiving mechanical ventilation, or were transferred from another facility. Data were analyzed between April 9 and December 21, 2023. Exposure: Initial hospital vital signs, including heart rate, respiratory rate, and systolic blood pressure (SBP). Main Outcome and Measures: Major trauma, determined by the Standard Triage Assessment Tool, a composite measure of injury severity and interventions performed. Multivariable models developed from PALS and ATLS vital sign criteria were compared with models developed from the empirically derived criteria using the area under the receiver operating characteristic curve. Validation of the findings was performed using the 2019 TQIP dataset. Results: A total of 70 748 patients (median [IQR] age, 11 [5-15] years; 63.4% male) were included, of whom 3223 (4.6%) had major trauma. The PALS criteria classified 31.0% of heart rates, 25.7% of respiratory rates, and 57.4% of SBPs as abnormal. The ATLS criteria classified 25.3% of heart rates, 4.3% of respiratory rates, and 1.1% of SBPs as abnormal. Among children with all 3 vital signs documented (64 326 [90.9%]), PALS had a sensitivity of 88.4% (95% CI, 87.1%-89.3%) and specificity of 25.1% (95% CI, 24.7%-25.4%) for identifying major trauma, and ATLS had a sensitivity of 54.5% (95% CI, 52.7%-56.2%) and specificity of 72.9% (95% CI, 72.6%-73.3%). The empirically derived cutoff vital sign z scores had a sensitivity of 80.0% (95% CI, 78.5%-81.3%) and specificity of 48.7% (95% CI, 48.3%-49.1%) and area under the receiver operating characteristic curve of 70.9% (95% CI, 69.9%-71.8%), which was similar to PALS criteria (69.6%; 95% CI, 68.6%-70.6%) and greater than ATLS criteria (65.4%; 95% CI, 64.4%-66.3%). Validation using the 2019 TQIP database showed similar performance to the derivation sample. Conclusions and Relevance: These findings suggest that empirically derived vital sign criteria strike a balance between the sensitivity of PALS criteria and the specificity of ATLS criteria in identifying major trauma in children. These criteria may help to identify children at greatest risk of trauma-related morbidity and mortality.

Is state trauma funding associated with mortality among injured hospitalized patients?

BACKGROUND: We sought to quantify the association between state trauma funding and (1) in-hospital mortality and (2) transfers of injured patients. METHODS: We conducted an observational cross-sectional study of states with publicly available trauma funding data. We analyzed in-hospital mortality using linked data from the Nationwide Inpatient Sample (NIS), American Hospital Association (AHA) Annual Survey, and these State Department of Public Health trauma funding data. RESULTS: A total of 594,797 injured adult patients were admitted to acute care hospitals in 17 states. Patients in states with >$1.00 per capita state trauma funding had 0.82 (95 â€‹% CI: 0.78-0.85, p â€‹< â€‹0.001) decreased adjusted odds of in-hospital mortality compared to patients in states with less than $1.00 per capita state trauma funding. CONCLUSIONS: Increased state trauma funding is associated with decreased adjusted in-hospital mortality.

Characterizing re-triage guidelines: A scoping review of states' rules and regulations.

BACKGROUND: State guidelines for re-triage, or emergency inter-facility transfer, have never been characterized across the United States. METHODS: All 50 states' Department of Health and/or Trauma System websites were reviewed for publicly available re-triage guidelines within their rules and regulations. Communication was made via phone or email to state agencies or trauma advisory committees to obtain or confirm the absence of guidelines where public data was unavailable. Guideline criteria were abstracted and grouped into domains of Center for Disease Control Field Triage Criteria: pattern/anatomy of injury, vital signs, special populations, and mechanisms of injury. Re-triage criteria were summarized across states using median and interquartile ranges for continuous data and frequencies for categorical data. Demographic data of states with and without re-triage guidelines were compared using the Wilcoxon rank sum test. RESULTS: Re-triage guidelines were identified for 22 of 50 states (44%). Common anatomy of injury criteria included head trauma (91% of states with guidelines), spinal cord injury (82%), chest injury (77%), and pelvic injury (73%). Common vital signs criteria included Glasgow Coma Score (91% of states) ranging from 8 to 14, systolic blood pressure (36%) ranging from 90 to 100 mm Hg, and respiratory rate (23%) with all using 10 respirations/minute. Common special populations criteria included mechanical ventilation (73% of states), age (68%) ranging from <2 or >60 years, cardiac disease (59%), and pregnancy (55%). No significant demographic differences were found between states with versus without re-triage guidelines. CONCLUSION: A minority of US states have re-triage guidelines. Characterizing existing criteria can inform future guideline development.

Prediction of Time to Hemodynamic Stabilization of Unstable Injured Patient Encounters Using Electronic Medical Record Data.

BACKGROUND: This study sought to predict time to patient hemodynamic stabilization during trauma resuscitations of hypotensive patient encounters using electronic medical records (EMR) data. METHODS: This observational cohort study leveraged EMR data from a nine-hospital academic system composed of Level I, Level II and non-trauma centers. Injured, hemodynamically unstable (initial systolic blood pressure < 90 mmHg) emergency encounters from 2015-2020 were identified. Stabilization was defined as documented subsequent systolic blood pressure > 90 mmHg. We predicted time to stabilization testing random forests, gradient boosting and ensembles using patient, injury, treatment, EPIC Trauma Narrator and hospital features from the first four hours of care. RESULTS: Of 177,127 encounters, 1347 (0.8%) arrived hemodynamically unstable; 168 (12.5%) presented to Level I trauma centers, 853 (63.3%) to Level II, and 326 (24.2%) to non-trauma centers. Of those, 747 (55.5%) were stabilized with a median of 50 minutes (IQR 21-101 min). Stabilization was documented in 94.6% of unstable patient encounters at Level I, 57.6% at Level II and 29.8% at non-trauma centers (p < 0.001). Time to stabilization was predicted with a C-index of 0.80. The most predictive features were EPIC Trauma Narrator measures; documented patient arrival, provider exam, and disposition decision. In-hospital mortality was highest at Level I, 3.0% vs. 1.2% at Level II, and 0.3% at non-trauma centers (p < 0.001). Importantly, non-trauma centers had the highest re-triage rate to another acute care hospital (12.0%) compared to Level II centers (4.0%, p < 0.001). CONCLUSION: Time to stabilization of unstable injured patients can be predicted with EMR data.

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.