Costs of Care for Operative and Nonoperative Management of Emergency General Surgery Conditions.

OBJECTIVE: Many emergency general surgery (EGS) conditions can be managed operatively or nonoperatively, with outcomes that vary by diagnosis. We hypothesized that operative management would lead to higher in-hospital costs but to cost savings over time. BACKGROUND: EGS conditions account for $28 billion in health care costs in the United States annually. Compared with scheduled surgery, patients who undergo emergency surgery are at increased risk of complications, readmissions, and death, with accompanying costs of care that are up to 50% higher than elective surgery. Our prior work demonstrated that operative management had variable impacts on clinical outcomes depending on the EGS condition. METHODS: This was a nationwide, retrospective study using fee-for-service Medicare claims data. We included patients 65.5 years of age or older with a principal diagnosis for an EGS condition 7/1/2015-6/30/2018. EGS conditions were categorized as: colorectal, general abdominal, hepatopancreaticobiliary (HPB), intestinal obstruction, and upper gastrointestinal. We used near-far matching with a preference-based instrumental variable to adjust for confounding and selection bias. Outcomes included Medicare payments for the index hospitalization and at 30, 90, and 180 days. RESULTS: Of 507,677 patients, 30.6% received an operation. For HPB conditions, costs for operative management were initially higher but became equivalent at 90 and 180 days. For all others, operative management was associated with higher inpatient costs, which persisted, though narrowed, over time. Out-of-pocket costs were nearly equivalent for operative and nonoperative management. CONCLUSIONS: Compared with nonoperative management, costs were higher or equivalent for operative management of EGS conditions through 180 days, which could impact decision-making for clinicians, patients, and health systems in situations where clinical outcomes are similar.

What medical-legal partnerships can do for trauma patients and trauma care.

ABSTRACT: Trauma patients are particularly vulnerable to the impact of preexisting social and legal determinants of health postinjury. Trauma patients have a wide range of legal needs, including housing, employment, debt, insurance coverage, and access to federal and state benefits. Legal support could provide vital assistance to address the social determinants of health for injured patients. Medical legal partnerships (MLPs) embed legal professionals within health care teams to improve health by addressing legal needs that affect health. Medical legal partnerships have a successful track record in oncology, human immunodeficiency virus/acquired immune deficiency syndrome, and pediatrics, but have been little used in trauma. We conducted a scoping review to describe the role of MLPs and their potential to improve health outcomes for patients with traumatic injuries. We found that MLPs use legal remedies to address a variety of social and structural conditions that could affect patient health across several patient populations, such as children with asthma and patients with cancer. Legal intervention can assist patients in obtaining stable and healthy housing, employment opportunities, debt relief, access to public benefits, and immigration assistance. Medical legal partnership structure varies across institutions. In some, MLP lawyers are employed directly by a health care institution. In others, MLPs function as partnerships between a health system and an external legal organization. Medical legal partnerships have been found to reduce hospital readmissions, increase treatment utilization by patients, decrease patient stress levels, and benefit health systems financially. This scoping review outlines the potential of MLPs to improve outcomes for injured patients. Establishing trauma-focused MLPs could be a feasible intervention for trauma centers around the country seeking to improve health outcomes and reduce disparities for injured patients.

An acute care surgeon's dilemma: Operative vs. non-operative management of emergency general surgery conditions in patients with recent colorectal cancer treatment.

BACKGROUND: This comparative effectiveness study examined outcomes of operative vs. non-operative management for emergency general surgery (EGS) conditions in patients with recent cancer treatment (RT). METHODS: Medicare beneficiaries with a history of colorectal cancer hospitalized for an EGS condition (2016-2018) were identified. RT was defined as chemotherapy/radiation within 3 months prior to admission. Instrumental variable analysis assessed the impact of management on mortality and readmissions among survivors (30d, 60d, and 90d), for patients in whom there was clinical equipoise regarding optimal management strategy. RESULTS: Of 26,097 patients, 13% had undergone RT. In both the RT and non-RT groups, the optimal management strategy was uncertain in 14%. Operative management conferred increased risk of mortality but not readmission in patients with RT compared to those without (90d mortality:+43%, p â€‹= â€‹0.03; 90d readmission:+7.1%, p â€‹= â€‹0.776). CONCLUSIONS: In patients with RT for whom there is clinical equipoise regarding EGS management, operative intervention increases risk of mortality.

Emergency Surgery, Multimorbidity and Hospital-Free Days: A Retrospective Observational Study.

INTRODUCTION: Analyzing hospital-free days (HFDs) offers a patient-centered approach to health services research. We hypothesized that, within emergency general surgery (EGS), multimorbidity would be associated with fewer HFDs, whether patients were managed operatively or nonoperatively. METHODS: EGS patients were identified using national Medicare claims data (2015-2018). Patients were classified as multimorbid based on the presence of a Qualifying Comorbidity Set and stratified by treatment: operative (received surgery within 48 h of index admission) and nonoperative. HFDs were calculated through 180 d, beginning on the day of index admission, as days alive and spent outside of a hospital, an Emergency Department, or a long-term acute care facility. Univariate comparisons were performed using Kruskal-Wallis tests and risk-adjusted HFDs were compared between multimorbid and nonmultimorbid patients using multivariable zero-inflated negative binomial regression models. RESULTS: Among 174,891 operative patients, 45.5% were multimorbid. Among 398,756 nonoperative patients, 59.2% were multimorbid. Multimorbid patients had fewer median HFDs than nonmultimorbid patients among operative and nonoperative cohorts (P < 0.001). At 6 mo, among operative patients, multimorbid patients had 6.5 fewer HFDs (P < 0.001), and among nonoperative patients, multimorbid patients had 7.9 fewer HFDs (P < 0.001). When length of stay was included as a covariate, nonoperative multimorbid patients still had 7.9 fewer HFDs than nonoperative, nonmultimorbid patients (P < 0.001). CONCLUSIONS: HFDs offer a patient-centered, composite outcome for claims-based analyses. For EGS patients, multimorbidity was associated with less time alive and out of the hospital, especially when patients were managed nonoperatively.

Conditional Effects of Race on Operative and Nonoperative Outcomes of Emergency General Surgery Conditions.

INTRODUCTION: Many emergency general surgery (EGS) conditions can be managed both operatively or nonoperatively; however, it is unknown whether the decision to operate affects Black and White patients differentially. METHODS: We identified a nationwide cohort of Black and White Medicare beneficiaries, hospitalized for common EGS conditions from July 2015 to June 2018. Using near-far matching to adjust for measurable confounding and an instrumental variable analysis to control for selection bias associated with treatment assignment, we compare outcomes of operative and nonoperative management in a stratified population of Black and White patients. Outcomes included in-hospital mortality, 30-day mortality, nonroutine discharge, and 30-day readmissions. An interaction test based on a t test was used to determine the conditional effects of operative versus nonoperative management between Black and White patients. RESULTS: A total of 556,087 patients met inclusion criteria, of which 59,519 (10.7%) were Black and 496,568 (89.3%) were White. Overall, 165,932 (29.8%) patients had an operation and 390,155 (70.2%) were managed nonoperatively. Significant outcome differences were seen between operative and nonoperative management for some conditions; however, no significant differences were seen for the conditional effect of race on outcomes. CONCLUSIONS: The decision to manage an EGS patient operatively versus nonoperatively has varying effects on surgical outcomes. These effects vary by EGS condition. There were no significant conditional effects of race on the outcomes of operative versus nonoperative management among universally insured older adults hospitalized with EGS conditions.

Association of Established Primary Care Use With Postoperative Mortality Following Emergency General Surgery Procedures.

Importance: Sixty-five million individuals in the US live in primary care shortage areas with nearly one-third of Medicare patients in need of a primary care health care professional. Periodic health examinations and preventive care visits have demonstrated a benefit for surgical patients; however, the impact of primary care health care professional shortages on adverse outcomes from surgery is largely unknown. Objective: To determine if preoperative primary care utilization is associated with postoperative mortality following an emergency general surgery (EGS) operation among Black and White older adults. Design, Setting, and Participants: This was a retrospective cohort study that took place at US hospitals with an emergency department. Participants were Medicare patients aged 66 years or older who were admitted from the emergency department for an EGS condition between July 1, 2015, and June 30, 2018, and underwent an operation on hospital day 0, 1, or 2. The analysis was performed during December 2022. Patients were classified into 1 of 5 EGS condition categories based on principal diagnosis codes; colorectal, general abdominal, hepatopancreatobiliary, intestinal obstruction, or upper gastrointestinal. Mixed-effects multivariable logistic regression was used in the risk-adjusted models. An interaction term model was used to measure effect modification by race. Exposure: Primary care utilization in the year prior to presentation for an EGS operation. Main Outcome and Measures: In-hospital, 30-day, 60-day, 90-day, and 180-day mortality. Results: A total of 102 384 patients (mean age, 73.8 [SD, 11.5] years) were included in the study. Of those, 8559 were Black (8.4%) and 93 825 were White (91.6%). A total of 88 340 patients (86.3%) had seen a primary care physician in the year prior to their index hospitalization. After risk adjustment, patients with primary care exposure had 19% lower odds of in-hospital mortality than patients without primary care exposure (odds ratio [OR], 0.81; 95% CI, 0.72-0.92). At 30 days patients with primary care exposure had 27% lower odds of mortality (OR, 0.73; 95% CI, 0.67-0.80). This remained relatively stable at 60 days (OR, 0.75; 95% CI, 0.69-0.81), 90 days (OR, 0.74; 95% CI, 0.69-0.81), and 180 days (OR, 0.75; 95% CI, 0.70-0.81). None of the interactions between race and primary care physician exposure for mortality at any time interval were significantly different. Conclusions and Relevance: In this observational study of Black and White Medicare patients, primary care utilization had no impact on in-hospital mortality for Black patients, but was associated with decreased mortality for White patients. Primary care utilization was associated with decreased mortality for both Black and White patients at 30, 60, 90 and 180 days.

National Cohort Study of Resource Utilization in Older Adults With Emergency General Surgery Conditions.

INTRODUCTION: Prior studies have sought to describe Emergency General Surgery (EGS) burden, but a detailed description of resource utilization for both operative and nonoperative management of EGS conditions has not been undertaken. METHODS: Patient and hospital characteristics were extracted from Medicare data, 2015-2018. Operations, nonsurgical procedures, and other resources (i.e., radiology) were defined using Current Procedural Terminology codes. RESULTS: One million eight hundred two thousand five hundred forty-five patients were included in the cohort. The mean age was 74.7 y and the most common diagnoses were upper gastrointestinal. The majority of hospitals were metropolitan (75.1%). Therapeutic radiology services were available in 78.4% of hospitals and operating rooms or endoscopy suites were available in 92.5% of hospitals. There was variability in resource utilization across EGS subconditions, with hepatobiliary (26.4%) and obstruction (23.9%) patients most frequently undergoing operation. CONCLUSIONS: Treatment of EGS diseases in older adults involves several interventional resources. Changes in EGS models, acute care surgery training, and interhospital care coordination may be beneficial to the treatment of EGS patients.

The Conditional Effects of Multimorbidity on Operative Versus Nonoperative Management of Emergency General Surgery Conditions: A Retrospective Observational Study Using an Instrumental Variable Analysis.

OBJECTIVE: To understand how multimorbidity impacts operative versus nonoperative management of emergency general surgery (EGS) conditions. BACKGROUND: EGS is a heterogenous field, encompassing operative and nonoperative treatment options. Decision-making is particularly complex for older patients with multimorbidity. METHODS: Using an instrumental variable approach with near-far matching, this national, retrospective observational cohort study of Medicare beneficiaries examines the conditional effects of multimorbidity, defined using qualifying comorbidity sets, on operative versus nonoperative management of EGS conditions. RESULTS: Of 507,667 patients with EGS conditions, 155,493 (30.6%) received an operation. Overall, 278,836 (54.9%) were multimorbid. After adjustment, multimorbidity significantly increased the risk of in-hospital mortality associated with operative management for general abdominal patients (+9.8%; P = 0.002) and upper gastrointestinal patients (+19.9%, P < 0.001) and the risk of 30-day mortality (+27.7%, P < 0.001) and nonroutine discharge (+21.8%, P = 0.007) associated with operative management for upper gastrointestinal patients. Regardless of multimorbidity status, operative management was associated with a higher risk of in-hospital mortality among colorectal patients (multimorbid: + 12%, P < 0.001; nonmultimorbid: +4%, P = 0.003), higher risk of nonroutine discharge among colorectal (multimorbid: +42.3%, P < 0.001; nonmultimorbid: +55.1%, P < 0.001) and intestinal obstruction patients (multimorbid: +14.6%, P = 0.001; nonmultimorbid: +14.8%, P = 0.001), and lower risk of nonroutine discharge (multimorbid: -11.5%, P < 0.001; nonmultimorbid: -11.9%, P < 0.001) and 30-day readmissions (multimorbid: -8.2%, P = 0.002; nonmultimorbid: -9.7%, P < 0.001) among hepatobiliary patients. CONCLUSIONS: The effects of multimorbidity on operative versus nonoperative management varied by EGS condition category. Physicians and patients should have honest conversations about the expected risks and benefits of treatment options, and future investigations should aim to understand the optimal management of multimorbid EGS patients.

Development of a Machine Learning Model to Identify Colorectal Cancer Stage in Medicare Claims.

PURPOSE: Staging information is essential for colorectal cancer research. Medicare claims are an important source of population-level data but currently lack oncologic stage. We aimed to develop a claims-based model to identify stage at diagnosis in patients with colorectal cancer. METHODS: We included patients age 66 years or older with colorectal cancer in the SEER-Medicare registry. Using patients diagnosed from 2014 to 2016, we developed models (multinomial logistic regression, elastic net regression, and random forest) to classify patients into stage I-II, III, or IV on the basis of demographics, diagnoses, and treatment utilization identified in Medicare claims. Models developed in a training cohort (2014-2016) were applied to a testing cohort (2017), and performance was evaluated using cancer stage listed in the SEER registry as the reference standard. RESULTS: The cohort of patients with 30,543 colorectal cancer included 14,935 (48.9%) patients with stage I-II, 9,203 (30.1%) with stage III, and 6,405 (21%) with stage IV disease. A claims-based model using elastic net regression had a scaled Brier score (SBS) of 0.45 (95% CI, 0.43 to 0.46). Performance was strongest for classifying stage IV (SBS, 0.62; 95% CI, 0.59 to 0.64; sensitivity, 93%; 95% CI, 91 to 94) followed by stage I-II (SBS, 0.45; 95% CI, 0.44 to 0.47; sensitivity, 86%; 95% CI, 85 to 76) and stage III (SBS, 0.32; 95% CI, 0.30 to 0.33; sensitivity, 62%; 95% CI, 61 to 64). CONCLUSION: Machine learning models effectively classified colorectal cancer stage using Medicare claims. These models extend the ability of claims-based research to risk-adjust and stratify by stage.

Effect of Serious Mental Illness on Surgical Consultation and Operative Management of Older Adults with Acute Biliary Disease: A Nationwide Study.

BACKGROUND: Mental illness is associated with worse outcomes after emergency general surgery. To understand how preoperative processes of care may influence disparate outcomes, we examined rates of surgical consultation, treatment, and operative approach between older adults with and without serious mental illness (SMI). STUDY DESIGN: We performed a nationwide, retrospective cohort study of Medicare beneficiaries aged 65.5 years or more hospitalized via the emergency department for acute cholecystitis or biliary colic. SMI was defined as schizophrenia spectrum, mood, and/or anxiety disorders. The primary outcome was surgical consultation. Secondary outcomes included operative treatment and surgical approach (laparoscopic vs open). Multivariable logistic regression was used to examine outcomes with adjustment for potential confounders related to patient demographics, comorbidities, and rates of imaging. RESULTS: Of 85,943 included older adults, 19,549 (22.7%) had SMI. Before adjustment, patients with SMI had lower rates of surgical consultation (78.6% vs 80.2%, p < 0.001) and operative treatment (68.2% vs 71.7%, p < 0.001), but no significant difference regarding laparoscopic approach (92.0% vs 92.1%, p = 0.805). In multivariable regression models with adjustment for confounders, there was no difference in odds of receiving a surgical consultation (odds ratio 0.98 [95% CI 0.93 to 1.03]) or undergoing operative treatment (odds ratio 0.98 [95% CI 0.93 to 1.03]) for patients with SMI compared with those without SMI. CONCLUSIONS: Older adults with SMI had similar odds of receiving surgical consultation and operative treatment as those without SMI. As such, differences in processes of care that result in SMI-related disparities likely occur before or after the point of surgical consultation in this universally insured patient population.

Operative and Nonoperative Outcomes of Emergency General Surgery Conditions: An Observational Study Using a Novel Instrumental Variable.

OBJECTIVE: To determine the effect of operative versus nonoperative management of emergency general surgery conditions on short-term and long-term outcomes. BACKGROUND: Many emergency general surgery conditions can be managed either operatively or nonoperatively, but high-quality evidence to guide management decisions is scarce. METHODS: We included 507,677 Medicare patients treated for an emergency general surgery condition between July 1, 2015, and June 30, 2018. Operative management was compared with nonoperative management using a preference-based instrumental variable analysis and near-far matching to minimize selection bias and unmeasured confounding. Outcomes were mortality, complications, and readmissions. RESULTS: For hepatopancreaticobiliary conditions, operative management was associated with lower risk of mortality at 30 days [-2.6% (95% confidence interval: -4.0, -1.3)], 90 days [-4.7% (-6.50, -2.8)], and 180 days [-6.4% (-8.5, -4.2)]. Among 56,582 intestinal obstruction patients, operative management was associated with a higher risk of inpatient mortality [2.8% (0.7, 4.9)] but no significant difference thereafter. For upper gastrointestinal conditions, operative management was associated with a 9.7% higher risk of in-hospital mortality (6.4, 13.1), which increased over time. There was a 6.9% higher risk of inpatient mortality (3.6, 10.2) with operative management for colorectal conditions, which increased over time. For general abdominal conditions, operative management was associated with 12.2% increased risk of inpatient mortality (8.7, 15.8). This effect was attenuated at 30 days [8.5% (3.8, 13.2)] and nonsignificant thereafter. CONCLUSIONS: The effect of operative emergency general surgery management varied across conditions and over time. For colorectal and upper gastrointestinal conditions, outcomes are superior with nonoperative management, whereas surgery is favored for patients with hepatopancreaticobiliary conditions. For obstructions and general abdominal conditions, results were equivalent overall. These findings may support patients, clinicians, and families making these challenging decisions.

Examining disparities among older multimorbid emergency general surgery patients: An observational study of Medicare beneficiaries.

BACKGROUND: Qualifying comorbidity sets (QCS) are tools used to identify multimorbid patients at increased surgical risk. It is unknown how the QCS framework for multimorbidity affects surgical risk in different racial groups. METHODS: This retrospective cohort study included Medicare patients age ≥65.5 who underwent an emergency general surgery operation from 2015 to 2018. Our exposure was race and multimorbidity, included in our model as an interaction term. The primary outcome of the study was 30-day mortality. Secondary outcomes included routine discharge, 30-day readmission, length of stay, and complications. RESULTS: In total, 163,148 patients who underwent and operation were included in this study. Of these, 13,852 (8.5%, p < 0.001) were Black, and 149,296 (91.5%, p < 0.001) were White. Black multimorbid patients had no significant differences in 30-day mortality, routine discharge or 30-day readmission when compared to White multimorbid patients after risk-adjustment. Black multimorbid patients had significantly lower odds of complications (OR 0.89, p = 0.014) compared to White multimorbid patients. CONCLUSIONS: Our study of universally insured patients highlights the critical role of pre-operative health status and its association with surgical outcomes.

Analyzing Impact of Multimorbidity on Long-Term Outcomes after Emergency General Surgery: A Retrospective Observational Cohort Study.

BACKGROUND: Little is known about the impact of multimorbidity on long-term outcomes for older emergency general surgery patients. STUDY DESIGN: Medicare beneficiaries, age 65 and older, who underwent operative management of an emergency general surgery condition were identified using Centers for Medicare & Medicaid claims data. Patients were classified as multimorbid based on the presence of a Qualifying Comorbidity Set (a specific combination of comorbid conditions known to be associated with increased risk of in-hospital mortality in the general surgery setting) and compared with those without multimorbidity. Risk-adjusted outcomes through 180 days after discharge from index hospitalization were calculated using linear and logistic regressions. RESULTS: Of 174,891 included patients, 45.5% were identified as multimorbid. Multimorbid patients had higher rates of mortality during index hospitalization (5.9% vs 0.7%, odds ratio [OR] 3.05, p < 0.001) and through 6 months (17.1% vs 3.4%, OR 2.33, p < 0.001) after discharge. Multimorbid patients experienced higher rates of readmission at 1 month (22.9% vs 11.4%, OR 1.48, p < 0.001) and 6 months (38.2% vs 21.2%, OR 1.48, p < 0.001) after discharge, lower rates of discharge to home (42.5% vs 74.2%, OR 0.52, p < 0.001), higher rates of discharge to rehabilitation/nursing facility (28.3% vs 11.3%, OR 1.62, p < 0.001), greater than double the use of home oxygen, walker, wheelchair, bedside commode, and hospital bed (p < 0.001), longer length of index hospitalization (1.33 additional in-patient days, p < 0.001), and higher costs through 6 months ($5,162 additional, p < 0.001). CONCLUSIONS: Older, multimorbid patients experience worse outcomes, including survival and independent function, after emergency general surgery than nonmultimorbid patients through 6 months after discharge from index hospitalization. This information is important for setting recovery expectations for high-risk patients to improve shared decision-making.

Rates of Surgical Consultations After Emergency Department Admission in Black and White Medicare Patients.

Importance: A surgical consultation is a critical first step in the care of patients with emergency general surgery conditions. It is unknown if Black Medicare patients and White Medicare patients receive surgical consultations at similar rates when they are admitted from the emergency department. Objective: To determine whether Black Medicare patients have similar rates of surgical consultations when compared with White Medicare patients after being admitted from the emergency department with an emergency general surgery condition. Design, Setting, and Participants: This was a retrospective cohort study that took place at US hospitals with an emergency department and used a computational generalization of inverse propensity score weight to create patient populations with similar covariate distributions. Participants were Medicare patients age 65.5 years or older admitted from the emergency department for an emergency general surgery condition between July 1, 2015, and June 30, 2018. The analysis was performed during February 2022. Patients were classified into 1 of 5 emergency general surgery condition categories based on principal diagnosis codes: colorectal, general abdominal, hepatopancreatobiliary, intestinal obstruction, and upper gastrointestinal. Exposures: Black vs White race. Main Outcomes and Measures: Receipt of a surgical consultation after admission from the emergency department with an emergency general surgery condition. Results: A total of 1 686 940 patients were included in the study. Of those included, 214 788 patients were Black (12.7%) and 1 472 152 patients were White (87.3%). After standardizing for medical and diagnostic imaging covariates, Black patients had 14% lower odds of receiving a surgical consultation (odds ratio [OR], 0.86; 95% CI, 0.85-0.87) with a risk difference of -3.17 (95% CI, -3.41 to -2.92). After standardizing for socioeconomic covariates, Black patients remained at an 11% lower odds of receiving a surgical consultation compared with similar White patients (OR, 0.89; 95% CI, 0.88-0.90) with a risk difference of -2.49 (95% CI, -2.75 to -2.23). Additionally, when restricting the analysis to Black patients and White patients who were treated in the same hospitals, Black patients had 8% lower odds of receiving a surgical consultation when compared with White patients (OR, 0.92; 95% CI, 0.90-0.93) with a risk difference of -1.82 (95% CI, -2.18 to -1.46). Conclusions and Relevance: In this study, Black Medicare patients had lower odds of receiving a surgical consultation after being admitted from the emergency department with an emergency general surgery condition when compared with similar White Medicare patients. These disparities in consultation rates cannot be fully attributed to medical comorbidities, insurance status, socioeconomic factors, or individual hospital-level effects.

Injury characteristics and circumstances of firearm trauma: Assessing suicide survivors and decedents.

INTRODUCTION: Despite representing fewer than 5% of suicide attempts, firearms account for over half of deaths. Yet there is little clinical information regarding firearm attempts, particularly survivors. We assessed clinical factors differentiating firearm suicide survivors from decedents, firearm attempters from other methods, and firearm attempters from similarly injured trauma patients. METHODS: We used clinical data from the National Trauma Data Bank (2017) to assess firearm suicide attempts using cross-sectional and case-control designs. We used logistic and multinomial regression to compare groups and assess firearm type and discharge destination. RESULTS: Older age, being uninsured, and injury location were associated with increased mortality among firearm attempters. Older age, White race, male sex, and being uninsured were associated with firearm attempts. Major psychiatric disorders were associated with firearm attempts and using a rifle or shotgun. Major psychiatric disorders, female sex, and smoking were associated with psychiatric discharge. Black and other race were associated with law enforcement discharge, and Black race was associated with lower odds of psychiatric discharge. Uninsured patients had lower odds of discharge to long-term care, psychiatric, or rehabilitation facilities. CONCLUSIONS: This study identifies factors associated with firearm suicide and includes indicators of disparities in health services for patients at high risk of suicide death.

Multimorbidity Confers Greater Risk for Older Patients in Emergency General Surgery Than the Presence of Multiple Comorbidities: A Retrospective Observational Study.

BACKGROUND: Little is known about the impact of multimorbidity on outcomes for older emergency general surgery patients. OBJECTIVE: The aim was to understand whether having multiple comorbidities confers the same amount of risk as specific combinations of comorbidities (multimorbidity) for a patient undergoing emergency general surgery. RESEARCH DESIGN: Retrospective observational study using state discharge data. SUBJECTS: Medicare beneficiaries who underwent an operation for an emergency general surgery condition in New York, Florida, or Pennsylvania (2012-2013). MEASURES: Patients were classified as multimorbid using Qualifying Comorbidity Sets (QCSs). Outcomes included in-hospital mortality, hospital length of stay and discharge status. RESULTS: Of 312,160 patients, a large minority (37.4%) were multimorbid. Non-QCS patients did not have a specific combination of comorbidities to satisfy a QCS, but 64.1% of these patients had 3+ comorbid conditions. Multimorbidity was associated with increased in-hospital mortality (10.5% vs. 3.9%, P <0.001), decreased rates of discharge to home (16.2% vs. 37.1%, P <0.001), and longer length of stay (10.4 d±13.5 vs. 6.7 d±9.3, P <0.001) when compared with non-QCS patients. Risks varied between individual QCSs. CONCLUSIONS: Multimorbidity, defined by satisfying a specific QCS, is strongly associated with poor outcomes for older patients requiring emergency general surgery in the United States. Variation in risk of in-hospital mortality, discharge status, and length of stay between individual QCSs suggests that multimorbidity does not carry the same prognostic weight as having multiple comorbidities-the specifics of which are important in setting expectations for individual, complex patients.

Compounding Trauma: the Intersections of Racism, Law Enforcement, and Injury.

Purpose of Review: Traumatic injury sits at the nexus of law enforcement and structural racism. This narrative review aims to explore the major impacts of law enforcement on health, its intersections with US structural racism, and their joint impacts on traumatic injury and injury care. Recent Findings: Many of the same forces of systemic disadvantage that put Black people, other people of color, and other marginalized groups at risk for violent injury also expose these same individuals and communities to intensive policing. Recent evidence speaks to the broad impact of police exposure and police violence on individual and community physical and mental health. Moreover, injured patients who are exposed to law enforcement during their care are at risk for erosion of trust in and relationships with their healthcare providers. To optimize the role of law enforcement agencies in injury prevention, collaboration across sectors and with communities is essential. Summary: A broad approach to the prevention of injury and violence must incorporate an understanding of the intersecting impacts of law enforcement and structural racism on health and traumatic injury. Clinicians who seek to provide trauma-informed injury care should incorporate an understanding of the role of law enforcement in individual and community health.

Disparities in Insurance Status Are Associated With Outcomes but Not Timing of Trauma Care.

INTRODUCTION: Patient factors influence outcomes after injury. Delays in care have a crucial impact. We investigated the associations between patient characteristics and timing of transfer from the emergency department to definitive care. METHODS: This was a review of adult trauma patients treated between January 1, 2016, and December 31, 2018. Bivariate analyses were used to build Cox proportional hazards models. We built separate logistic and negative binomial regression models for secondary outcomes using mixed-step selection to minimize the Akaike information criterion c. RESULTS: A total of 1219 patients were included; 68.5% were male, 56.8% White, 11.2% Black, and 7.8% Asian/Pacific Islander. The average age was 51 ± 21 y. Overall, 13.7% of patients were uninsured. The average length of stay was 5 d and mortality was 5.9%. Shorter transfer time out of the emergency department was associated with higher tier of activation (relative risk [RR] 1.39, 95% confidence interval [CI] 1.09-1.77; P = 0.0074), Injury Severity Score between 16 and 24 points (RR 1.57, 95% CI 1.04-2.32; P = 0.0307) or ≥25 (RR 3.85, 95% CI 2.45-5.94; P = 0.0001), and penetrating injury. Longer time to event was associated with Glasgow coma scale score ≥14 points (RR 0.47, 95% CI 0.27-0.85; P = 0.0141). Uninsured patients were less likely to be admitted (odds ratio 0.29, 95% CI 0.17-0.48; P = 0.0001) and more likely to experience shorter length of stay (incidence rate ratio 0.34, 95% CI 0.24-0.51; P = 0.0001). CONCLUSIONS: Injury characteristics and insurance status were associated with patient outcomes in this retrospective, single-center study. We found no disparity in timing of intrafacility transfer, perhaps indicating that initial management protocols preserve equity.

The Short and the Long of it: Timing of Mortality for Older Adults in a State Trauma System.

BACKGROUND: The impact of injury extends beyond the hospital stay, but trauma center performance metrics typically focus on in-hospital mortality. We compared risk adjusted rates of in-hospital and long-term mortality among Pennsylvania trauma centers. We hypothesized that centers with low rates of in-hospital mortality would also have low rates of long-term mortality. METHODS: We identified injured patients (age ≥ 65) admitted to Pennsylvania trauma centers in 2013 and 2014 using the Pennsylvania Trauma Outcomes Study, a robust, state-wide trauma registry. We matched trauma registry records to Medicare claims from the y 2013 to 2015. Matching variables included admission date and patient demographics including date of birth, zip, sex, and race and/or ethnicity. Outcomes examined were inpatient, 30-day, and 1-y mortality. Multivariable logistic regression models including presenting physiology, comorbidities, injury characteristics, and demographics were developed to calculate expected mortality rates for each trauma center at each time point. Trauma center performance was assessed using observed-to-expected ratios and ranking for in-hospital, 30-day, and 1-y mortality. RESULTS: Of the 15,451 patients treated at 28 centers, 8.1% died before discharge or were discharged to hospice. Another 3.4% died within 30 d, and another 14.7% died within 1 y of injury. Of patients who survived hospitalization but died within 30 d, 92.5% were injured due to fall, and 75.0% sustained head injuries. Survival at 1 y was higher in patients discharged home (88.4%), compared to those discharged to a skilled nursing facility or long-term acute care hospital (72.7% and 52.6%, respectively). Three centers were identified as outliers (two low and one high) for in-hospital mortality, none of which were outliers when the horizon was stretched to 30 d from injury. At 30 d, two different low and two different high outliers were found. CONCLUSION: Nearly one-in-three injured older adults who die within 30 d of injury dies after hospital discharge. Hospital rankings for in-hospital mortality correlate poorly with long-term outcomes. These findings underscore the importance of looking beyond survival to discharge for quality improvement and benchmarking.