The hidden burden of unplanned readmission after emergency general surgery.

BACKGROUND: There are no national studies of nonelective readmissions after emergency general surgery (EGS) diagnoses that track nonindex hospital readmission. We sought to determine the rate of overall and nonindex hospital readmissions at 30 and 90 days after discharge for EGS diagnoses, hypothesizing a significant portion would be to nonindex hospitals. METHODS: The 2013 to 2014 Nationwide Readmissions Database was queried for all patients 16 years or older admitted with an EGS primary diagnosis and survived index hospitalization. Multivariable logistic regression identified risk factors for nonelective 30- and 90-day readmission to index and nonindex hospitals. RESULTS: Of 4,171,983 patients, 13% experienced unplanned readmission at 30 days. Of these, 21% were admitted to a nonindex hospital. By 90 days, 22% experienced an unplanned readmission, of which 23% were to a nonindex hospital. The most common reason for readmission was infection. Publicly insured or uninsured patients accounted for 67% of admissions and 77% of readmissions. Readmission predictors at 30 days included leaving against medical advice (odds ratio [OR], 2.51 [2.47-2.56]), increased length of stay (4-7 days: OR, 1.42 [1.41-1.43]; >7 days: OR, 2.04 [2.02-2.06]), Charlson Comorbidity Index ≥2 (OR, 1.72 [1.71-1.73]), public insurance (Medicare: OR, 1.45 [1.44-1.46]; Medicaid: OR, 1.38 [1.37-1.40]), EGS patients who fell into the "Other" surgical category (OR, 1.42 [1.38-1.48]), and nonroutine discharge. Risk factors for readmission remained consistent at 90 days. CONCLUSION: Given that nonindex hospital EGS readmission accounts for nearly a quarter of readmissions and often related to important benchmarks such as infection, current EGS quality metrics are inaccurate. This has implications for policy, benchmarking, and readmission reduction programs. LEVEL OF EVIDENCE: Epidemiological study, level III.

Readmission following surgical stabilization of rib fractures: Analysis of incidence, cost, and risk factors using the Nationwide Readmissions Database.

BACKGROUND: Surgical stabilization of rib fractures (SSRF) has become increasingly common for the treatment of traumatic rib fractures; however, little is known about related postoperative readmissions. The aims of this study were to determine the rate and cost of readmissions and to identify patient, hospital, and injury characteristics that are associated with risk of readmission in patients who underwent SSRF. The null hypotheses were that readmissions following rib fixation were rare and unrelated to the SSRF complications. METHODS: This is a retrospective analysis of the 2015 to 2017 Nationwide Readmission Database. Adult patients with rib fractures treated by SSRF were included. Univariate and multivariate analyses were used to compare patients readmitted within 30 days with those who were not, based on demographics, comorbidities, and hospital characteristics. Financial information examined included average visit costs and national extrapolations. RESULTS: A total of 2,522 patients who underwent SSRF were included, of whom 276 (10.9%) were readmitted within 30 days. In 36.2% of patients, the reasons for readmissions were related to complications of rib fractures or SSRF. The rest of the patients (63.8%) were readmitted because of mostly nontrauma reasons (32.2%) and new traumatic injuries (21.1%) among other reasons. Multivariate analysis demonstrated that ventilator use, discharge other than home, hospital size, and medical comorbidities were significantly associated with risk of readmission. Nationally, an estimated 2,498 patients undergo SSRF each year, with costs of US $176 million for initial admissions and US $5.9 million for readmissions. CONCLUSION: Readmissions after SSRF are rare and mostly attributed to the reasons not directly related to sequelae of rib fractures or SSRF complications. Interventions aimed at optimizing patients' preexisting medical conditions before discharge should be further investigated as a potential way to decrease rates of readmission after SSRF. LEVEL OF EVIDENCE: Epidemiological study, level III.

Equity on the frontlines of trauma surgery: An #EAST4ALL roundtable.

BACKGROUND: Inequity exists in surgical training and the workplace. The Eastern Association for the Surgery of Trauma (EAST) Equity, Quality, and Inclusion in Trauma Surgery Ad Hoc Task Force (EAST4ALL) sought to raise awareness and provide resources to combat these inequities. METHODS: A study was conducted of EAST members to ascertain areas of inequity and lack of inclusion. Specific problems and barriers were identified that hindered inclusion. Toolkits were developed as resources for individuals and institutions to address and overcome these barriers. RESULTS: Four key areas were identified: (1) harassment and discrimination, (2) gender pay gap or parity, (3) implicit bias and microaggressions, and (4) call-out culture. A diverse panel of seven surgeons with experience in overcoming these barriers either on a personal level or as a chief or chair of surgery was formed. Four scenarios based on these key areas were proposed to the panelists, who then modeled responses as allies. CONCLUSION: Despite perceived progress in addressing discrimination and inequity, residents and faculty continue to encounter barriers at the workplace at levels today similar to those decades ago. Action is needed to address inequities and lack of inclusion in acute care surgery. The EAST is working on fostering a culture that minimizes bias and recognizes and addresses systemic inequities, and has provided toolkits to support these goals. Together, we can create a better future for all of us.

Human and economic costs of pediatric firearm injury.

PURPOSE: Pediatric firearm injury is a national crisis that inflicts significant trauma. No studies have captured risk factors for readmissions after firearm injury, including cost analysis. METHODS: Nationwide Readmissions Database (2010-2014) was queried for patients <18 years admitted after acute firearm injury. Outcomes included mortality, length of stay, hospital costs, and readmission rates (30-day and 1-year). Multivariable logistic regression identified risk factors, significance set at p < 0.05. RESULTS: There were 13,596 children admitted for firearm injury. Mortality rate was 6% (n = 797). Self-inflicted injury was the most lethal (37%, n = 218) followed by unintentional (5%, n = 186), and assault (4%, n = 340), all p < 0.01. Readmission rates at 30 days and 1-year were 6% (12% to different hospital) and 12% (19% to different hospital), respectively. Medicaid patients were more frequently readmitted to the index hospital, whereas self-pay and/or high income were readmitted to a different hospital. The total hospitalizations cost was over $382 million, with $5.4 million due to readmission to a different hospital. CONCLUSION: While guns cause significant morbidity, disability, and premature mortality in children, they also have a substantial economic impact. This study quantifies the previously unreported national burden of readmission costs and discontinuity of care for this preventable public health crisis. TYPE OF STUDY: Retrospective Comparative Study. LEVEL OF EVIDENCE: Level III.

Nationwide Outcomes and Risk Factors for Reinjury After Penetrating Trauma.

BACKGROUND: Previous studies have shown that a notable portion of patients who are readmitted for reinjury after penetrating trauma present to a different hospital. The purpose of this study was to identify the risk factors for reinjury after penetrating trauma including reinjury admissions to different hospitals. METHODS: The 2010-2014 Nationwide Readmissions Database was queried for patients surviving penetrating trauma. E-codes identified patients subsequently admitted with a new diagnosis of blunt or penetrating trauma. Univariable analysis was performed using 44 injury, patient, and hospital characteristics. Multivariable logistic regression using significant variables identified risk factors for the outcomes of reinjury, different hospital readmission, and in-hospital mortality after reinjury. RESULTS: There were 443,113 patients identified. The reinjury rate was 3.5%. Patients presented to a different hospital in 30.0% of reinjuries. Self-inflicted injuries had a higher risk of reinjury (odds ratio [OR]: 2.66, P < 0.05). Readmission to a different hospital increased risk of mortality (OR: 1.62, P < 0.05). Firearm injury on index admission increased risk of mortality after reinjury (OR: 1.94, P < 0.05). CONCLUSIONS: This study represents the first national finding that one in three patients present to a different hospital for reinjury after penetrating trauma and have a higher risk of mortality due to this fragmentation of care. These findings have implications for quality and cost improvements by identifying areas to improve continuity of care and the implementation of penetrating injury prevention programs.

Variations in Nationwide Readmission Patterns after Umbilical Hernia Repair.

Up to one in three readmissions occur at a different hospital and are thus missed by current quality metrics. There are no national studies examining 30-day readmission, including to different hospitals, after umbilical hernia repair (UHR). We tested the hypothesis that a large proportion were readmitted to a different hospital, that risk factors for readmission to a different hospital are unique, and that readmission costs differed between the index and different hospitals. The 2013 to 2014 Nationwide Readmissions Database was queried for patients admitted for UHR, and cost was calculated. Multivariate logistic regression identified risk factors for 30-day readmission at index and different hospitals. There were 102,650 admissions for UHR and 8.9 per cent readmissions, of which 15.8 per cent readmissions were to a different hospital. The most common reason for readmission was infection (25.8%). Risk factors for 30-day readmission to any hospital include bowel resection, index admission at a for-profit hospital, Medicare, Medicaid, and Charlson Comorbidity Index ≥ 2. Risk factors for 30-day readmission to a different hospital include elective operation, drug abuse, discharge to a skilled nursing facility, and leaving against medical advice. The median cost of initial admission was higher in those who were readmitted ($16,560 [$10,805-$29,014] vs $11,752 [$8151-$17,724], P < 0.01). The median cost of readmission was also higher among those readmitted to a different hospital ($9826 [$5497-$19,139] vs $9227 [$5211-$16,817], P = 0.02). After UHR, one in six readmissions occur at a different hospital, have unique risk factors, and are costlier. Current hospital benchmarks fail to capture this subpopulation and, therefore, likely underestimate UHR readmissions.

Hidden burden of venous thromboembolism after trauma: A national analysis.

BACKGROUND: Trauma patients are at increased risk for venous thromboembolism (VTE). One in four trauma readmissions occur at a different hospital. There are no national studies measuring readmissions to different hospitals with VTE after trauma. Thus, the true national burden in trauma patients readmitted with VTE is unknown and can provide a benchmark to improve quality of care. METHODS: The Nationwide Readmission Database (2010-2014) was queried for patients ≥18 years non-electively admitted for trauma. Patients with VTE or inferior vena cava filter placement on index admission were excluded. Outcomes included 30-day and 1-year readmission to both index and different hospitals with a new diagnosis of VTE. Multivariable logistic regression identified risk factors. Results were weighted for national estimates. RESULTS: Of the 5,151,617 patients admitted for trauma, 1.2% (n = 61,800) were readmitted within 1 year with VTE. Of those, 29.6% (n = 18,296) were readmitted to a different hospital. Risk factors for readmission to a different hospital included index admission to a for-profit hospital (OR 1.33 [1.27-1.40], p < 0.001), skull fracture (OR 1.20 [1.08-1.35], p < 0.001), Medicaid (OR 1.16 [1.06-1.26], p < 0.001), hospitalization >7 days (OR 1.12 [1.07-1.18], p < 0.001), and the lowest quartile of median household income for patient ZIP code (OR 1.13 [1.07-1.19], p < 0.01). The yearly cost of 1-year readmission for VTE was $256.9 million, with $90.4 million (35.2%) as a result of different hospital readmission. CONCLUSIONS: Previously unreported, over one in three patients readmitted with VTE a year after hospitalization for trauma, accounting for over a third of the cost, present to another hospital and are not captured by current metrics. Risk factors are unique. This has significant implications for benchmarking, outcomes, prevention, and policy. LEVEL OF EVIDENCE: Epidemiological study, level II.

Variation in National Readmission Patterns After Burn Injury.

A significant proportion of readmissions occurs at a different hospital than the index admission, and is thus missed by current quality metrics. No study has examined all-hospital adult 30-day readmission rates, including different hospitals, following burn injury across the United States. The purpose of this study was to evaluate nationwide readmission rates, potential risk factors, and ultimately the burden of burn injury readmission, including readmission to a different hospital. The 2010-2014 Nationwide Readmissions Database was queried for patients admitted for burn. Multivariate logistic regression identified risk factors and associated cost for 30-day readmission at index and different hospitals. There were 94,759 patients admitted during the study period, with 7.4% (n = 7000) readmitted and of those, 29.2% (n = 2047) readmitted to a different hospital. The most common reason for readmission was infection (29.4% [n = 1990]). Risk factors for unplanned 30-day readmission to any hospital included burn of lower limbs (odds ratio [OR] 1.29, [1.21-1.37], P < .01), third degree burns (OR 1.31, [1.22-1.41], P < .01), Charlson Comorbidity Index ≥2 (OR 1.48, [1.37-1.60], P < .01), depression (OR 1.30, [1.19-1.41], P < .01), and psychoses (OR 1.53, [1.40-1.67], P < .01). Risk factors unique to readmission to a different hospital included: length of stay greater than 7 days (OR 2.07, [1.78-2.40], P < 0.01), and initial admission to a metropolitan teaching hospital (OR 1.50, [1.26-1.78], P < .01). Previously unreported, one in three burn readmissions nationally occur at a different hospital, have unique risk factors, and are costlier. Current hospital benchmarking underestimates readmission by failing to capture this unique subpopulation.

Hidden Costs of Hospitalization After Firearm Injury: National Analysis of Different Hospital Readmission.

OBJECTIVE: To compare the risk factors and costs associated with readmission after firearm injury nationally, including different hospitals. BACKGROUND: No national studies capture readmission to different hospitals after firearm injury. METHODS: The 2013 to 2014 Nationwide Readmissions Database was queried for patients admitted after firearm injury. Logistic regression identified risk factors for 30-day same and different hospital readmission. Cost was calculated. Survey weights were used for national estimates. RESULTS: There were 45,462 patients admitted for firearm injury during the study period. The readmission rate was 7.6%, and among those, 16.8% were readmitted to a different hospital. Admission cost was $1.45 billion and 1-year readmission cost was $131 million. Sixty-four per cent of those injured by firearms were publicly insured or uninsured. Readmission predictors included: length of stay >7 days [odds ratio (OR) 1.43, P < 0.01], Injury Severity Score >15 (OR 1.41, P < 0.01), and requiring an operation (OR 1.40, P < 0.01). Private insurance was a predictor against readmission (OR 0.81, P < 0.01). Predictors of readmission to a different hospital were unique and included: initial admission to a for-profit hospital (OR 1.52, P < 0.01) and median household income ≥$64,000 (OR 1.48, P < 0.01). CONCLUSIONS: A significant proportion of the national burden of firearm readmissions is missed by not tracking different hospital readmission and its unique set of risk factors. Firearm injury-related hospitalization costs $791 million yearly, with the largest fraction paid by the public. This has implications for policy, benchmarking, quality, and resource allocation.

Risk factors and costs associated with nationwide nonelective readmission after trauma.

BACKGROUND: Most prior studies of readmission after trauma have been limited to single institutions, whereas multi-institutional studies have been limited to single states and an inability to distinguish between elective and nonelective readmissions. The purpose of this study was to identify the risk factors and costs associated with nonelective readmission after trauma across the United States. METHODS: The Nationwide Readmission Database was queried for all patients with nonelective admissions in 2013 and 2014 with a primary diagnosis of trauma. Univariate and multivariate logistic regression identified risk factors for 30-day nonelective same- and different-hospital readmission. The diagnosis groups on readmission were evaluated, and the total cost of readmissions was calculated. RESULTS: There were 1,180,144 patients admitted for trauma, the 30-day readmission rate was 9.4%, and 26.4% of readmissions occurred at a different hospital. The median readmission cost for patients readmitted to the same hospital was $8,298 (interquartile range, $4,899-$14,911), whereas the median readmission cost for patients readmitted to a different hospital was $8,568 (interquartile range, $4,935-$16,078; p < 0.01). Multivariate regression revealed that patients discharged against medical advice were at increased risk of readmission (odds ratio, 2.79; p < 0.01) and readmission to a different facility (odds ratio, 1.58; p < 0.01). Home health care was associated with a decreased risk of readmission to a different hospital (odds ratio, 0.74; p < 0.01). Septicemia and disseminated infections were the most common diagnoses on readmission (8.4%) and readmission to a different hospital (8.6%). CONCLUSIONS: A significant portion of US readmissions occur at different hospitals with implications for continuity of care, quality metrics, cost, and resource allocation. Home health care reduces the likelihood of nonelective readmission to a different hospital. Infection was the most common reason for readmission, with ramifications for outcomes research and quality improvement. LEVEL OF EVIDENCE: Care management/epidimeological, level IV.