Detecting Variation in Clinical Practice Patterns for Geriatric Trauma Care Using Social Network Analysis.

OBJECTIVE: To characterize hospital-level professional networks of physicians caring for older trauma patients as a function of trauma patient age distribution. BACKGROUND: The causal factors associated with between-hospital variation in geriatric trauma outcomes are poorly understood. Variation in physician practice patterns reflected by differences in professional networks might contribute to hospital-level differences in outcomes for older trauma patients. METHODS: This is a population-based, cross-sectional study of injured older adults (age 65 or above) and their physicians from January 1, 2014, to December 31, 2015, using Health Care Cost and Utilization Project inpatient data and Medicare claims from 158 hospitals in Florida. We used social network analyses to characterize the hospitals in terms of network density, cohesion, small-worldness, and heterogeneity, then used bivariate statistics to assess the relationship between network characteristics and hospital-level proportion of trauma patients who were aged 65 or above. RESULTS: We identified 107,713 older trauma patients and 169,282 patient-physician dyads. The hospital-level proportion of trauma patients who were aged 65 or above ranged from 21.5% to 89.1%. Network density, cohesion, and small-worldness in physician networks were positively correlated with hospital geriatric trauma proportions ( R =0.29, P <0.001; R =0.16, P =0.048; and R =0.19, P <0.001, respectively). Network heterogeneity was negatively correlated with geriatric trauma proportion ( R =0.40, P <0.001). CONCLUSIONS: Characteristics of professional networks among physicians caring for injured older adults are associated with the hospital-level proportion of trauma patients who are older, indicating differences in practice patterns at hospitals with older trauma populations. Associations between interspecialty collaboration and patient outcomes should be explored as an opportunity to improve the treatment of injured older adults.

Gentrification as a Factor in the Incidence of Firearm Injuries.

Importance: Firearm injuries are an epidemic in the US; more than 45 000 fatal injuries were recorded in 2020 alone. Gaining a deeper understanding of socioeconomic factors that may contribute to increasing firearm injury rates is critical to prevent future injuries. Objective: To explore whether neighborhood gentrification is associated with firearm injury incidence rates over time. Design, Setting, and Participants: This cross-sectional study used nationwide, urban US Census tract-level data on gentrification between 2010 and 2019 and firearm injuries data collected between 2014 and 2019. All urban Census tracts, as defined by Rural Urban Commuting Area codes 1 to 3, were included in the analysis, for a total of 59 379 tracts examined from 2014 through 2019. Data were analyzed from January 2022 through April 2023. Exposure: Gentrification, defined to be an area in a central city neighborhood with median housing prices appreciating over the median regional value and a median household income at or below the 40th percentile of the median regional household income and continuing for at least 2 consecutive years. Main Outcomes and Measures: The number of firearm injuries, controlling for Census tract population characteristics. Results: A total of 59 379 urban Census tracts were evaluated for gentrification; of these tracts, 14 125 (23.8%) were identified as gentrifying, involving approximately 57 million residents annually. The firearm injury incidence rate for gentrifying neighborhoods was 62% higher than the incidence rate in nongentrifying neighborhoods with similar sociodemographic characteristics (incidence rate ratio [IRR], 1.62; 95% CI, 1.56-1.69). In a multivariable analysis, firearm injury incidence rates increased by 57% per year for low-income Census tracts that did not gentrify (IRR, 1.57; 95% CI, 1.56-1.58), 42% per year for high-income tracts that did not gentrify (IRR, 1.42; 95% CI, 1.41-1.43), and 49% per year for gentrifying tracts (IRR, 1.49; 95% CI, 1.48-1.50). Neighborhoods undergoing the gentrification process experienced an additional 26% increase in firearm injury incidence above baseline increase experienced in neighborhoods not undergoing gentrification (IRR, 1.26; 95% CI, 1.23-1.30). Conclusions and Relevance: Results of this study suggest that gentrification is associated with an increase in the incidence of firearm injuries within gentrifying neighborhoods. Social disruption and residential displacement associated with gentrification may help explain this finding, although future research is needed to evaluate the underlying mechanisms. These findings support use of targeted firearm prevention interventions in communities experiencing gentrification.

Defining the emergency general surgery patient population in the era of ICD-10 : Evaluating an established crosswalk from ICD-9 to ICD-10 diagnosis codes.

INTRODUCTION: In 2015, the United States moved from the International Classification of Diseases, Ninth Revision ( ICD-9 ), to the International Classification of Diseases, Tenth Revision ( ICD-10 ), coding system. The American Association for the Surgery of Trauma Committee on Severity Assessment and Patient Outcomes previously established a list of ICD-9 diagnoses to define the field of emergency general surgery (EGS). This study evaluates the general equivalence mapping (GEM) crosswalk to generate an equivalent list of ICD-10 -coded EGS diagnoses. METHODS: The GEM was used to generate a list of ICD-10 codes corresponding to the American Association for the Surgery of Trauma ICD-9 EGS diagnosis codes. These individual ICD-9 and ICD-10 codes were aggregated by surgical area and diagnosis groups. The volume of patients admitted with these diagnoses in the National Inpatient Sample in the ICD-9 era (2013-2014) was compared with the ICD-10 volumes to generate observed to expected ratios. The crosswalk was manually reviewed to identify the causes of discrepancies between the ICD-9 and ICD-10 lists. RESULTS: There were 485 ICD-9 codes, across 89 diagnosis categories and 11 surgical areas, which mapped to 1,206 unique ICD-10 codes. A total of 196 (40%) ICD-9 codes have an exact one-to-one match with an ICD-10 code. The median observed to expected ratio among the diagnosis groups for a primary diagnosis was 0.98 (interquartile range, 0.82-1.12). There were five key issues identified with the ability of the GEM to crosswalk ICD-9 EGS diagnoses to ICD-10 : (1) changes in admission volumes, (2) loss of necessary modifiers, (3) lack of specific ICD-10 code, (4) mapping to a different condition, and (5) change in coding nomenclature. CONCLUSION: The GEM provides a reasonable crosswalk for researchers and others to use when attempting to identify EGS patients in with ICD-10 diagnosis codes. However, we identify key issues and deficiencies, which must be accounted for to create an accurate patient cohort. This is essential for ensuring the validity of policy, quality improvement, and clinical research work anchored in ICD-10 coded data. LEVEL OF EVIDENCE: Diagnostic Test/Criteria; Level III.

Value of Ambulatory Modified Radical Mastectomy.

BACKGROUND: Modified radical mastectomy (MRM) still is largely performed in inpatient settings. This study sought to determine the value (expenditures and complications) of ambulatory MRM. METHODS: Health Care Utilization Project (HCUP) state databases from 2016 were queried for patients who underwent MRM. The study examined rates of 30-day readmission for surgical-site infection (SSI) or hematoma, charges by index care setting, and predictors of 30-day readmission. RESULTS: Overall, 8090 patients underwent MRM: 5113 (63 %) inpatient and 2977 (37 %) ambulatory patients. Compared with the patients who underwent inpatient MRM, those who underwent ambulatory MRM were older (61 vs. 59 years), more often white (66 % vs. 57 %), in the lowest income quartile (28 % vs. 21 %), insured by Medicare (43 % vs. 33 %) and residents in a small metro area (6 % vs. 4 %) (all p < 0.01). Of the 5113 patients treated as inpatients, 126 (2.5 %) were readmitted, whereas 50 (1.7 %) of the ambulatory patients were readmitted (p = 0.02). The adjusted charge for inpatient MRM without readmission was $113,878 (range, $107,355-120,402) compared with $94,463 (range, $86,021-102,907) for ambulatory MRM, and the charge for inpatient MRM requiring readmission was $159,355 (range, $147,142-171,568) compared with $139,940 (range, $125,808-154,073) for ambulatory MRM (all p < 0.01). This difference remained significant after adjustment for hospital length of stay. Adjusted logistic regression showed that the ambulatory setting was protective for readmission (odds ratio, 0.49; 95 % confidence interval, 0.35-0.70; p < 0.01). CONCLUSIONS: The analyses suggest that ambulatory MRM is both safe and less expensive. The findings advocate that MRM, a last holdout of inpatient care within breast surgical oncology, can be transitioned to the ambulatory setting for appropriate patients.

The Impact of Redlining on Modern-Day Firearm Injuries: A Nationwide Study of Federal Policy.

OBJECTIVES: To evaluate whether exposure to the United States discriminatory housing practice of redlining, which occurred in over 200 cities in the 1930s, is associated with modern-day, community-level incidence of firearm injury. BACKGROUND: Firearm violence is a public health epidemic within the United States. Federal policies are crucial in both shaping and reducing the risk of firearm violence; identifying policies that might have contributed to risks also offers potential solutions. We analyzed whether 1930s exposure to the discriminatory housing practices that occurred in over 200 US cities was associated with the modern-day, community-level incidence of firearm injury. METHODS: We performed a nationwide retrospective cohort study between 2014 and 2018. Urban Zip Code Tabulation Areas (ZCTAs) historically exposed to detrimental redlining (grades C and D) were matched to unexposed ZCTAs based on modern-day population-level demographic characteristics (ie, age, Gini index, median income, percentage Black population, and education level). Incidence of firearm injury was derived from the Gun Violence Archive and aggregated to ZCTA level counts. Our primary outcome was the incidence of firearm injury, modeled using zero-inflated negative binomial regression. RESULTS: When controlling for urban firearm risk factors, neighborhoods with detrimental redlining were associated with 2.6 additional firearm incidents annually compared with nonredlined areas with similar modern-day risk factors. Over our study period, this accounts for an additional 23,000 firearm injuries. CONCLUSIONS: Historic, discriminatory Federal policies continue to impact modern-day firearm violence. Policies aimed at reversing detrimental redlining may offer an economic means to reduce firearm violence.

Predictors of care discontinuity in geriatric trauma patients.

BACKGROUND: Readmission to a non-index hospital, or care discontinuity, has been shown to have worse outcomes among surgical patients. Little is known about its effect on geriatric trauma patients. Our goal was to determine predictors of care discontinuity and to evaluate its effect on mortality in this geriatric population. METHODS: This was a retrospective analysis of Medicare inpatient claims (2014-2015) of geriatric trauma patients. Care discontinuity was defined as readmission within 30 days to a non-index hospital. Demographic and clinical characteristics (including readmission diagnosis category) were collected. Multivariate logistic regression analysis was performed to identify predictors of care discontinuity and to assess its association with mortality. RESULTS: We included 754,313 geriatric trauma patients. Mean age was 82.13 years (SD, 0.50 years), 68% were male and 91% were White. There were 21,615 (2.87%) readmitted within 30 days of discharge. Of these, 34% were readmitted to a non-index hospital. Overall 30-day mortality after readmission was 25%. In unadjusted analysis, readmission to index hospitals was more likely to be due to surgical infection, GI complaints, or cardiac/vascular complaints. After adjusted analysis, predictors of care discontinuity included readmission diagnoses, patient- and hospital-level factors. Care discontinuity was not associated with mortality (OR, 0.93; 95% confidence interval, 0.86-1.01). CONCLUSION: More than a third of geriatric trauma patients are readmitted to a non-index hospital, which is driven by readmission diagnosis, travel time and hospital characteristics. However, unlike other surgical settings, this care discontinuity is not associated with increased mortality. Further work is needed to understand the reasons for this and to determine which standardized processes of care can benefit this population. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level IV.

Shared Decision Making in the Geriatric Surgery Verification Program: Assessing Baseline Performance.

CONTEXT: As part of the launch of the Geriatric Surgery Verification program in 2019, the American College of Surgeons issued care standards for older patients, including requirements for preoperative documentation of patients' goals. Hospital performance on these standards prior to the Geriatric Surgery Verification program is unknown. OBJECTIVES: To assess baseline performance of the Geriatric Surgery Verification (GSV) standard for documentation of preoperative goals for older patients, and to determine factors associated with standard adherence. METHODS: Using natural language processing, this study examines the electronic health records of patients aged 65 years or older who underwent coronary artery bypass grafts (CABG) or colectomies in 2017 or 2018 at three hospitals. The primary outcome was adherence to at least one of the three components of GSV Standard 5.1, which requires preoperative documentation of overall health goals, treatment goals, and patient-centered outcomes. RESULTS: A total of 2630 operations and 2563 patients were included. At least one component of the standard was met in 307 (11.7%) operations and all three components were met in 5 (0.2%). Higher likelihood of meeting the standard was demonstrated for patients who were female (odds ratio [OR] 1.30; 95% CI 1.00-1.68), undergoing colectomy (OR 2.82; 95% CI 2.15-3.72), or with more comorbidities (Charlson scores >3 [OR 1.55; 95% CI 1.14-2.09]). CONCLUSION: Before GSV program implementation, clinicians for two major operations almost never met the GSV standard for preoperative discussion of patient goals. Interdisciplinary teams will need to adjust clinical practice to meet best-practice communication standards for older patients.

Long-term Mental Health Trajectories of Injured Military Servicemembers: Comparing Combat to Noncombat Related Injuries.

OBJECTIVE: We sought to quantify the impact of injury characteristics and setting on the development of mental health conditions, comparing combat to noncombat injury mechanisms. BACKGROUND: Due to advances in combat casualty care, military service-members are surviving traumatic injuries at substantial rates. The nature and setting of traumatic injury may influence the development of subsequent mental health disorders more than clinical injury characteristics. METHODS: TRICARE claims data was used to identify servicemembers injured in combat between 2007 and 2011. Controls were servicemembers injured in a noncombat setting matched by age, sex, and injury severity. The rate of development, and time to diagnosis [in days (d)], of 3 common mental health conditions (post-traumatic stress disorder, depression, and anxiety) among combat-injured servicemembers were compared to controls. Risk factors for developing a new mental health condition after traumatic injury were evaluated using multivariable logistic regression that controlled for confounders. RESULTS: There were 3979 combat-injured servicemember and 3979 matched controls. The majority of combat injured servicemembers (n = 2524, 63%) were diagnosed with a new mental health condition during the course of follow-up, compared to 36% (n = 1415) of controls ( P < 0.001). In the adjusted model, those with combat-related injury were significantly more likely to be diagnosed with a new mental health condition [odds ratio (OR): 3.18, [95% confidence interval (CI): 2.88-3.50]]. Junior (OR: 3.33, 95%CI: 2.66-4.17) and senior enlisted (OR: 2.56, 95%CI: 2.07-3.17) servicemem-bers were also at significantly greater risk. CONCLUSIONS: We found significantly higher rates of new mental health conditions among servicemembers injured in combat compared to service-members sustaining injuries in noncombat settings. This indicates that injury mechanism and environment are important drivers of mental health sequelae after trauma.

The Hidden Costs of War: Healthcare Utilization Among Individuals Sustaining Combat-related Trauma (2007-2018).

OBJECTIVE: We sought to evaluate long-term healthcare requirements of American military servicemembers with combat-related injuries. SUMMARY OF BACKGROUND DATA: US military conflicts since 2001 have produced the most combat casualties since Vietnam. Long-term consequences on healthcare utilization and associated costs remain unknown. METHODS: We identified servicemembers who were treated for combat-related injuries between 2007 and 2011. Controls consisted of active-duty servicemembers injured in the civilian sector, without any history of combat-related trauma, matched (1:1) on year of injury, biologic sex injury severity, and age at time of injury. Surveillance was performed through 2018. Total annual healthcare expenditures were evaluated overall and then as expenditures in the first year after injury and for subsequent years. Negative binomial regression was used to identify the adjusted influence of combat injury on healthcare costs. RESULTS: The combat-injured cohort consisted of 3981 individuals and we identified 3979 controls. Total healthcare utilization during the follow-up period resulted in median costs of $142,214 (IQR $61,428, $323,060) per combat-injured servicemember as compared to $50,741 (IQR $26,669, $104,134) among controls. Median expenditures, adjusted for duration of follow-up, for the combat-injured were $45,211 (IQR $18,698, $105,437). In adjusted analysis, overall costs were 30% higher (1.30; 95% confidence interval: 1.23, 1.37) for combat-injured personnel. CONCLUSION: This investigation represents the longest continuous observation of healthcare utilization among individuals after combat injury and the first to assess costs. Expenditures were 30% higher for individuals injured as a result of combat-related trauma when compared to those injured in the civilian sector.

Association between Surgery, Anesthesia, and Obstetric Workforce and Emergent Surgical and Obstetric Mortality among United States Hospital Referral Regions.

OBJECTIVE: To determine the association between SAO workforce and mortality from emergent surgical and obstetric conditions within US HR Rs. BACKGROUND: SAO workforce per capita has been identified as a core metric of surgical capacity by the Lancet Commission on Global Surgery, but its utility has not been assessed at the subnational level for a high-income country. METHODS: The number of practicing surgeons, anesthesiologists, and obstetricians per capita was estimated for all HRRs using the US Health Resources & Services Administration Area Health Resource File Database. Deaths due to emergent general surgical and obstetric conditions were determined from the Center for Disease Control and Prevention WONDER database. We utilized B-spline quantile regression to model the relationship between SAO workforce and emergent surgical mortality at different quantiles of mortality and calculated the expected change in mortality associated with increases in SAO workforce. RESULTS: The median SAO workforce across all HRRs was 74.2 per 100,000 population (interquartile range 33.3-241.0). All HRRs met the Lancet Commission on Global Surgery lower target of 20 SAO per 100,000, and 97.7% met the upper target of 40 per 100,000. Nearly 2.8 million Americans lived in HRRs with fewer than 40 SAO per 100,000. Increases in SAO workforce were associated with decreases in surgical mortality in HRRs with high mortality, with minimal additional decreases in mortality above 60 to 80 SAO per 100,000. CONCLUSIONS: Increasing SAO workforce capacity may reduce emergent surgical and obstetric mortality in regions with high surgical mortality but diminishing returns may be seen above 60 to 80 SAO per 100,000. Trial Registration: N/A.

The role of geographic disparities in outcomes after orthopaedic trauma surgery.

INTRODUCTION: Healthcare disparities linked to patient rurality and socioeconomic status are known to exist, but few studies have examined the effect of urban versus rural status on outcomes after orthopedic trauma surgery. The aim of this study was to examine the correlation between patient rurality, socioeconomic status, and outcomes after orthopedic trauma. MATERIALS AND METHODS: This is a retrospective cohort study of patients diagnosed with a hip or long bone fracture between January 2016 and December 2017. Data were collected from the Nationwide Inpatient Sample (NIS), a 20% weighted sample of 95% of the U.S. inpatient population. Patients were stratified into 3 groups: isolated hip fracture, isolated long bone fracture, and polytrauma. Bivariate analysis was completed using chi-squared tests for categorical variables and t-tests for continuous variables. Multivariable analysis was completed using population-weighted logistic regression models, based on a conceptual model derived selection of covariates. RESULTS: We included 235,393 patients diagnosed with a hip or extremity fracture. These were weighted to represent 1,176,965 patients nationally. In the hip fracture group, rural patient status was associated with higher odds of mortality (OR 1.32, P < 0.001) but not complications (OR 0.95, P = 0.082). In the extremity fracture and polytrauma groups, rural patient status was not associated with significantly higher odds of mortality or complications. In the urban polytrauma group, zip code with below-median income was associated with increased odds of mortality (OR 1.23, P = 0.002) but not complications. In the rural polytrauma group, zip code with below-median income was not associated with significantly increased odds of mortality or complications. In the hip fracture and extremity fracture groups, below-median income was not associated with significantly higher odds of mortality. CONCLUSION: We found that rural patients with hip fracture have higher mortality compared to urban patients and that socioeconomic disparities in mortality after a polytrauma exist in urban settings. These results speak to the ongoing need to develop objective measures of disparity-sensitive healthcare and optimize trauma systems to better serve low-income patients and patients in rural areas.

Accessibility of Level III trauma centers for underserved populations: A cross-sectional study.

BACKGROUND: By providing definitive care for many, and rapid assessment, resuscitation, stabilization, and transfer to Level I/II centers when needed, Level III trauma centers can augment capacity in high resource regions and extend the geographic reach to lower resource regions. We sought to (1) characterize populations served principally by Level III trauma centers, (2) estimate differences in time to care by trauma center level, and (3) update national estimates of trauma center access. METHODS: In a cross-sectional study (United States, 2019), we estimated travel time from census block groups to the nearest Level I/II trauma center and nearest Level III trauma center. Block groups were categorized based on the level of care accessible within 60 minutes, then distributions of population characteristics and differences in time to care were estimated. RESULTS: An estimated 22.8% of the US population (N = 76,119,228) lacked access to any level of trauma center care within 60 minutes, and 8.8% (N = 29,422,523) were principally served by Level III centers. Black and American Indian/Alaska Native (AIAN) populations were disproportionately represented among those principally served by Level III centers (39.1% and 12.2%, respectively). White and AIAN populations were disproportionately represented among those without access to any trauma center care (26.2% and 40.8%, respectively). Time to Level III care was shorter than Level I/II for 27.9% of the population, with a mean reduction in time to care of 28.9 minutes (SD = 31.4). CONCLUSION: Level III trauma centers are a potential source of trauma care for underserved populations. While Black and AIAN disproportionately rely on Level III centers for care, most with access to Level III centers also have access to Level I/II centers. The proportion of the US population with timely access to trauma care has not improved since 2010. LEVEL OF EVIDENCE: Prognostic/Epidemiological; Level IV.

Disparities in uptake of cholecystectomy for idiopathic pancreatitis: A nationwide retrospective cohort study.

BACKGROUND: The majority of cases of idiopathic acute pancreatitis (IAP) are thought to result from occult biliary disease. A growing body of evidence suggests that cholecystectomy for IAP reduces the risk of recurrence by up to two thirds. This study examined nationwide uptake and disparities in adoption of cholecystectomy for IAP. METHODS: The National Inpatient Sample was queried to identify admissions for IAP between October 2015 and December 2018. Patients who underwent cholecystectomy before discharge and those that did not were compared using Wald χ2 tests for categorical variables and Student's t test for continuous variables. Patient- and hospital-level predictors of cholecystectomy were identified using weighted multivariable logistic regression. RESULTS: Of 62,305 estimated admissions for IAP, only 665 (1.1%) underwent cholecystectomy before discharge. Female sex, initiation of total parenteral nutrition (TPN), insurance status, and hospital type were associated with cholecystectomy on univariable analysis. On multivariable analysis, Hispanic patients (odds ration [OR] 1.60, 95% confidence interval [CI] 1.01-2.56), patients on TPN (OR 2.70, 95% CI 1.17-6.24), and those with private insurance (OR 2.18, 95% CI 1.48-3.21 versus Medicare/Medicaid) were more likely to receive operations. Small hospitals and hospitals in rural areas were least likely to perform empiric cholecystectomies. CONCLUSION: Despite increasing evidence supporting cholecystectomy after IAP, the practice remains rare in the United States. Educational efforts and active implementation efforts are needed to promote adoption. Particular attention should be focused on small, rural centers and those that disproportionately care for uninsured patients and patients with public insurance.

Which Geriatric Variables Most Strongly Inform Discharge Disposition After Emergency Surgery?

INTRODUCTION: Older adults account for an increasing proportion of emergency surgical procedures and have longer hospital lengths of stay than their elective counterparts. Identifying those at greatest risk of discharge to a postacute care facility would improve postoperative planning. We aimed to examine the role of preoperative cognitive and functional status on discharge disposition after emergency surgery in older adults. METHODS: We used American College of Surgeons National Surgical Quality Improvement Program Geriatric Pilot Project data from 2014 to 2018 to identify patients ≥65 y who underwent inpatient emergency surgery. The primary outcome was nonhome discharge, defined as discharge to an acute rehabilitation facility, a skilled nursing facility, or a nonhome unskilled facility. Logistic regression controlling for patient characteristics was used to determine the association of preoperative geriatric-specific variables with nonhome discharge. RESULTS: Of 3494 patients, 53.9% were not discharged home. In multivariable analysis, a fall within the past year (odds ratio [OR] = 5.3, 95% confidence interval [CI] = 4.4-6.5) was most strongly associated with nonhome discharge. The outcome was also independently associated with preoperative use of a mobility aid (OR = 2.0, 95% CI = 1.7-2.4), partially dependent functional status (OR = 1.8, 95% CI = 1.4-2.5), and surrogate consent (OR = 1.4, 95% CI = 1.1-1.8), but not cognitive impairment (OR = 1.0, 95% CI = 0.7-1.3). CONCLUSIONS: Assessing for a history of falls and impaired mobility at the initial surgical evaluation can rapidly identify patients most likely to need postacute care. Further work is needed to assess the association between pre-existing cognitive impairment and discharge disposition after emergency surgery.

A National Assessment of Trauma Systems Using the American College of Surgeons NBATS Tool: Geographic Distribution of Trauma Center Need.

OBJECTIVE: To compare the needs based assessment of trauma systems (NBATS) tool estimates of trauma center need to the existing trauma infrastructure using observed national trauma volume. SUMMARY OF BACKGROUND DATA: Robust trauma systems have improved outcomes for severely injured patients. The NBATS tool was created by the American College of Surgeons to align trauma resource allocation with regional needs. METHODS: Data from the Agency for Healthcare Research and Quality Healthcare Costs and Utilization Project State Inpatient Databases, the Trauma Information Exchange Program, and US Census was used to calculate an NBATS score for each trauma service area (TSA) as defined by the Pittsburgh Atlas. This score was used to estimate the number of trauma centers allocated to each TSA and compared to the number of existing trauma centers. RESULTS: NBATS predicts the need for 117 additional trauma centers across the United States to provide adequate access to trauma care nationwide. At least 1 additional trauma center is needed in 49% of TSAs. CONCLUSIONS: Application of the NBATS tool nationally shows the need for additional trauma infrastructure across a large segment of the United States. We identified some limitations of the NBATS tool, including preferential weighting based on current infrastructure. The NBATS tool provides a good framework to begin the national discussion around investing in the expansion of trauma systems nationally, however, in many instances lacks the granularity to drive change at the local level.

Understanding the role of informal caregivers in postoperative care transitions for older patients.

BACKGROUND: Older adults may have new care needs and functional limitations after surgery. Many rely on informal caregivers (unpaid family or friends) after discharge but the extent of informal support is unknown. We sought to examine the role of informal postoperative caregiving on transitions of care for older adults undergoing routine surgical procedures. MATERIALS AND METHODS: We performed a retrospective cohort study using ACS NSQIP Geriatric Pilot Project data, 2014-2018. Patients were ≥65 years and underwent an inpatient surgical procedure. Patients who lived at home alone were compared with those who lived with support from informal caregivers (family and/or friends). Primary outcomes were discharge destination (home vs. post-acute care) and readmission within 30 days. Multivariable logistic regression was used to determine the association between support at home, discharge destination, and readmission. RESULTS: Of 18,494 patients, 25% lived alone before surgery. There was no difference in loss of independence (decline in functional status or new use of mobility aid) after surgery between patients who lived alone or with others (18.7% vs. 19.5%, p = 0.24). Nevertheless, twice as many patients who lived alone were discharged to a non-home location (10.2% vs. 5.1%; OR: 2.24, CI: 1.93-2.56). Patients who lived alone and were discharged home with new informal caregivers had increased odds of readmission (OR: 1.43, CI: 1.09-1.86). CONCLUSION: Living alone independently predicts discharge to post-acute care, and patients who received new informal caregiver support at home have higher odds of readmission. These findings highlight opportunities to improve discharge planning and care.