Prediction of intra-abdominal injury using natural language processing of electronic medical record data.

BACKGROUND: This study aimed to use natural language processing to predict the presence of intra-abdominal injury using unstructured data from electronic medical records. METHODS: This was a random-sample retrospective observational cohort study leveraging unstructured data from injured patients taken to one of 9 acute care hospitals in an integrated health system between 2015 and 2021. Patients with International Classification of Diseases External Cause of Morbidity codes were identified. History and physical, consult, progress, and radiology report text from the first 8 hours of care were abstracted. Annotator dyads independently annotated encounters' text files to establish ground truth regarding whether intra-abdominal injury occurred. Features were extracted from text using natural language processing techniques, bag of words, and principal component analysis. We tested logistic regression, random forests, and gradient boosting machine to determine accuracy, recall, and precision of natural language processing to predict intra-abdominal injury. RESULTS: A random sample of 7,000 patient encounters of 177,127 was annotated. Only 2,951 had sufficient information to determine whether an intra-abdominal injury was present. Among those, 84 (2.9%) had an intra-abdominal injury. The concordance between annotators was 0.989. Logistic regression of features identified with bag of words and principal component analysis had the best predictive ability, with an area under the receiver operating characteristic curve of 0.9, recall of 0.73, and precision of 0.17. Text features with greatest importance included "abdomen," "pelvis," "spleen," and "hematoma." CONCLUSION: Natural language processing could be a screening decision support tool, which, if paired with human clinical assessment, can maximize precision of intra-abdominal injury identification.

Development and Validation of a Machine Learning COVID-19 Veteran (COVet) Deterioration Risk Score.

BACKGROUND AND OBJECTIVE: To develop the COVid Veteran (COVet) score for clinical deterioration in Veterans hospitalized with COVID-19 and further validate this model in both Veteran and non-Veteran samples. No such score has been derived and validated while incorporating a Veteran sample. DERIVATION COHORT: Adults (age ≥ 18 yr) hospitalized outside the ICU with a diagnosis of COVID-19 for model development to the Veterans Health Administration (VHA) (n = 80 hospitals). VALIDATION COHORT: External validation occurred in a VHA cohort of 34 hospitals, as well as six non-Veteran health systems for further external validation (n = 21 hospitals) between 2020 and 2023. PREDICTION MODEL: eXtreme Gradient Boosting machine learning methods were used, and performance was assessed using the area under the receiver operating characteristic curve and compared with the National Early Warning Score (NEWS). The primary outcome was transfer to the ICU or death within 24 hours of each new variable observation. Model predictor variables included demographics, vital signs, structured flowsheet data, and laboratory values. RESULTS: A total of 96,908 admissions occurred during the study period, of which 59,897 were in the Veteran sample and 37,011 were in the non-Veteran sample. During external validation in the Veteran sample, the model demonstrated excellent discrimination, with an area under the receiver operating characteristic curve of 0.88. This was significantly higher than NEWS (0.79; p < 0.01). In the non-Veteran sample, the model also demonstrated excellent discrimination (0.86 vs. 0.79 for NEWS; p < 0.01). The top three variables of importance were eosinophil percentage, mean oxygen saturation in the prior 24-hour period, and worst mental status in the prior 24-hour period. CONCLUSIONS: We used machine learning methods to develop and validate a highly accurate early warning score in both Veterans and non-Veterans hospitalized with COVID-19. The model could lead to earlier identification and therapy, which may improve outcomes.

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.

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.

Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models.

OBJECTIVE: The timely stratification of trauma injury severity can enhance the quality of trauma care but it requires intense manual annotation from certified trauma coders. The objective of this study is to develop machine learning models for the stratification of trauma injury severity across various body regions using clinical text and structured electronic health records (EHRs) data. MATERIALS AND METHODS: Our study utilized clinical documents and structured EHR variables linked with the trauma registry data to create 2 machine learning models with different approaches to representing text. The first one fuses concept unique identifiers (CUIs) extracted from free text with structured EHR variables, while the second one integrates free text with structured EHR variables. Temporal validation was undertaken to ensure the models' temporal generalizability. Additionally, analyses to assess the variable importance were conducted. RESULTS: Both models demonstrated impressive performance in categorizing leg injuries, achieving high accuracy with macro-F1 scores of over 0.8. Additionally, they showed considerable accuracy, with macro-F1 scores exceeding or near 0.7, in assessing injuries in the areas of the chest and head. We showed in our variable importance analysis that the most important features in the model have strong face validity in determining clinically relevant trauma injuries. DISCUSSION: The CUI-based model achieves comparable performance, if not higher, compared to the free-text-based model, with reduced complexity. Furthermore, integrating structured EHR data improves performance, particularly when the text modalities are insufficiently indicative. CONCLUSIONS: Our multi-modal, multiclass models can provide accurate stratification of trauma injury severity and clinically relevant interpretations.

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.

Investigating the 2016 surge in firearm violence in Illinois, USA, through community-based organisations: a qualitative study.

BACKGROUND: Illinois experienced a historic firearm violence surge in 2016 with a decline to baseline rates in 2018. This study aimed to understand this 2016 surge through the direct accounts of violence prevention community-based organisations (CBOs) in Illinois. METHODS: We conducted semistructured interviews with 20 representatives from 13 CBOs from the south and west sides of greater Chicago metropolitan area. Interviews were audio recorded, coded and analysed thematically. RESULTS: We identified lack of government-derived infrastructure and systemic poverty as the central themes of Illinois's 2016 firearm violence surge. Participants highlighted the Illinois Budget Impasse halted funding for violence prevention efforts, leading to 2016's violence. This occurred in the context of a strained relationship with the criminal justice system, where disengagement from police and mistrust in the justice system led victims and families to seek justice outside of the judicial system. Participants emphasised that systemic poverty and the obliteration of community support structures led to overwhelming desperation, which, in turn, increased risky behaviours perceived as necessary for survival. Participants disproportionately identified that this impacted the young people in their communities. CONCLUSIONS: Lack of government-derived infrastructure and systemic poverty were the central themes of the 2016 firearm violence surge. The insights gained from the 2016 surge are applicable to understanding both current and future surges. CBOs focused on violence prevention offer insights into the context and conditions fuelling surges in the epidemic of violence.

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.

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.

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.

Unspoken Truths: Mental Health Among Academic Surgeons.

OBJECTIVE: To characterize the current state of mental health within the surgical workforce in the United States. BACKGROUND: Mental illness and suicide is a growing concern in the medical community; however, the current state is largely unknown. METHODS: Cross-sectional survey of the academic surgery community assessing mental health, medical error, and suicidal ideation. The odds of suicidal ideation adjusting for sex, prior mental health diagnosis, and validated scales screening for depression, anxiety, post-traumatic stress disorder (PTSD), and alcohol use disorder were assessed. RESULTS: Of 622 participating medical students, trainees, and surgeons (estimated response rate=11.4%-14.0%), 26.1% (141/539) reported a previous mental health diagnosis. In all, 15.9% (83/523) of respondents screened positive for current depression, 18.4% (98/533) for anxiety, 11.0% (56/510) for alcohol use disorder, and 17.3% (36/208) for PTSD. Medical error was associated with depression (30.7% vs. 13.3%, P <0.001), anxiety (31.6% vs. 16.2%, P =0.001), PTSD (12.8% vs. 5.6%, P =0.018), and hazardous alcohol consumption (18.7% vs. 9.7%, P =0.022). Overall, 13.2% (73/551) of respondents reported suicidal ideation in the past year and 9.6% (51/533) in the past 2 weeks. On adjusted analysis, a previous history of a mental health disorder (aOR: 1.97, 95% CI: 1.04-3.65, P =0.033) and screening positive for depression (aOR: 4.30, 95% CI: 2.21-8.29, P <0.001) or PTSD (aOR: 3.93, 95% CI: 1.61-9.44, P =0.002) were associated with increased odds of suicidal ideation over the past 12 months. CONCLUSIONS: Nearly 1 in 7 respondents reported suicidal ideation in the past year. Mental illness and suicidal ideation are significant problems among the surgical workforce in the United States.

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.

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.

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.

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.

Defining conditions for effective interdisciplinary care team communication in an open surgical intensive care unit: a qualitative study.

OBJECTIVE: Poor interdisciplinary care team communication has been associated with increased mortality. The study aimed to define conditions for effective interdisciplinary care team communication. DESIGN: An observational cross-sectional qualitative study. SETTING: A surgical intensive care unit in a large, urban, academic referral medical centre. PARTICIPANTS: A total 6 interviews and 10 focus groups from February to June 2021 (N=33) were performed. Interdisciplinary clinicians who cared for critically ill patients were interviewed. Participants included intensivist, transplant, colorectal, vascular, surgical oncology, trauma faculty surgeons (n=10); emergency medicine, surgery, gynaecology, radiology physicians-in-training (n=6), advanced practice providers (n=5), nurses (n=7), fellows (n=1) and subspecialist clinicians such as respiratory therapists, pharmacists and dieticians (n=4). Audiorecorded content of interviews and focus groups were deidentified and transcribed verbatim. The study team iteratively generated the codebook. All transcripts were independently coded by two team members. PRIMARY OUTCOME: Conditions for effective interdisciplinary care team communication. RESULTS: We identified five themes relating to conditions for effective interdisciplinary care team communication in our surgical intensive care unit setting: role definition, formal processes, informal communication pathways, hierarchical influences and psychological safety. Participants reported that clear role definition and standardised formal communication processes empowered clinicians to engage in discussions that mitigated hierarchy and facilitated psychological safety. CONCLUSIONS: Standardising communication and creating defined roles in formal processes can promote effective interdisciplinary care team communication by fostering psychological safety.

Creation of standardized tools to evaluate reporting in health research: Population Reporting Of Gender, Race, Ethnicity & Sex (PROGRES).

Despite increasing diversity in research recruitment, research finding reporting by gender, race, ethnicity, and sex has remained up to the discretion of authors. This study developped and piloted tools to standardize the inclusive reporting of gender, race, ethnicity, and sex in health research. A modified Delphi approach was used to develop standardized tools for the inclusive reporting of gender, race, ethnicity, and sex in health research. Health research, social epidemiology, sociology, and medical anthropology experts from 11 different universities participated in the Delphi process. The tools were pilot tested on 85 health research manuscripts in top health research journals to determine inter-rater reliability of the tools. The tools each spanned five dimensions for both sex and gender as well as race and ethnicity: Author inclusiveness, Participant inclusiveness, Nomenclature reporting, Descriptive reporting, and Outcomes reporting for each subpopulation. The sex and gender tool had a median score of 6 and a range of 1-15 out of 16 possible points. The percent agreement between reviewers piloting the sex and gender tool was 82%. The interrater reliability or average Cohen's Kappa was 0.54 with a standard deviation of 0.33 demonstrating moderate agreement. The race and ethnicity tool had a median score of 1 and a range of 0-15 out of 16 possible points. Race and ethnicity were both reported in only 25.8% of studies evaluated. Most studies that reported race reported only the largest subgroups; White, Black, and Latinx. The percent agreement between reviewers piloting the race and ethnicity tool was 84 and average Cohen's Kappa was 0.61 with a standard deviation of 0.38 demonstrating substantial agreement. While the overall dimension scores were low (indicating low inclusivity), the interrater reliability measures indicated moderate to substantial agreement for the respective tools. Efforts in recruitment alone will not provide more inclusive literature without improving reporting.

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.