Risk factors and costs associated with nationwide nonelective readmission after trauma

Surgical Urgency, Patient Comorbidities, and Socioeconomic Factors in Surgical Site Infections in Pediatric Surgery

BACKGROUND

The rise of value-based purchasing has led to decreased compensation for hospital-acquired conditions, including surgical site infections (SSI). This study aims to assess the risk factors for SSI in children and teenagers undergoing gastrointestinal surgery across US hospitals.

METHODS

The 2018-2020 Nationwide Readmissions Database was queried for patients undergoing gastrointestinal surgery under the age of 18. The primary outcome was SSI during index admission or readmission within a year. Comparison groups were elective, trauma, and emergent surgery based on anatomic location and urgency. Univariable comparison used chi-squared tests for relevant variables. Confounders were addressed through multivariable logistic regression with significant variables from univariable analysis.

RESULTS

113 108 total patients met the study criteria. The SSI rate during admission or readmission was 2.9% (n = 3254). Infections during admission and readmission were 1.4% (n = 1560) and 1.5% (n = 1694), respectively. The most common site was organ space (48.6%, n = 1657). Increased infection risk was associated with trauma (OR 1.80 [1.51-2.16] P < .001), emergency surgery (OR 1.31 [1.17-1.47] P < .001), large bowel surgery (OR 2.78 [2.26-3.43] P < .001), and those with three or more comorbidities (OR 2.03 [1.69-2.45] P < .001). Investor-owned hospitals (OR .65 [.56-.76] P < .001) and highest quartile income (OR .80 [.73-.88] P < .001) were associated with decreased infection risk.

CONCLUSIONS

Pediatric patients undergoing gastrointestinal surgery face an elevated risk of SSI, especially in trauma and emergency surgeries, particularly with multiple comorbidities. Meanwhile, a reduced risk is observed in high-income and investor-owned hospital settings. Hospitals and surgeons caring for high risk patients should advocate for risk adjustment in value-based payment systems.

Resilience and Value: Pediatric Trauma Care in Safety Net Hospitals

Background: In the setting of limited funding and high expectations for quality care, safety net hospitals play a crucial role in treating pediatric trauma patients. This study aimed to compare outcomes and hospitalization costs of pediatric trauma patients in safety net hospitals across the United States. Methods: The Nationwide Readmissions Database for 2016-2020 was queried for all patients under the age of 18 years hospitalized for traumatic injury. Patients admitted to safety net hospitals were propensity matched 1:1 to all other patients. The primary outcome was mortality. The secondary outcomes were readmission within 1-year, mean length of stay (LOS), total charges, and total hospitalization costs including readmissions. Results: There were 176,325 patients meeting inclusion criteria, and 30,869 were admitted to safety net hospitals. All safety net patients were successfully matched across predictors, and 61,738 patients were included. The overall mortality rate was 1.4% (n = 834), and the mortality risk was similar in safety net hospitals (OR 1.11 [.96-1.27] P = .15). The overall readmission rate, mean LOS, and mean total cost were similar for safety net hospitals when compared to all hospitals. However, the overall mean total charge was $78,724 (±$224,884) and was lower in safety net hospitals ($76,575 [±$198,342], P = .02). Discussion: Safety net hospitals deliver comparable outcomes as other health care facilities when caring for pediatric trauma patients. Notably, these hospitals appear to undercharge for their services, despite incurring similar costs in the process. These results shed light on the resilience of safety net hospitals in delivering quality and cost-effective care.

Is Electronic Information Exchange Associated With Lower 30-Day Readmission Charges Among Medicare Beneficiaries?

OBJECTIVE

Fragmented readmissions, when admission and readmission occur at different hospitals, are associated with increased charges compared with nonfragmented readmissions. We assessed if hospital participation in health information exchange (HIE) was associated with differences in total charges in fragmented readmissions.

DATA SOURCE

Medicare Fee-for-Service Data, 2018.

STUDY DESIGN

We used generalized linear models with hospital referral region and readmission month fixed effects to assess relationships between information sharing (same HIE, different HIEs, and no HIE available) and total charges of 30-day readmissions among fragmented readmissions; analyses were adjusted for patient-level clinical/demographic characteristics and hospital-level characteristics.

DATA EXTRACTION METHODS

We included beneficiaries with a hospitalization for acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, syncope, urinary tract infection, dehydration, or behavioral issues with a 30-day readmission for any reason.

PRINCIPAL FINDINGS

In all, 279,729 admission-readmission pairs were included, 27% of which were fragmented (n=75,438); average charges of fragmented readmissions were $64,897-$71,606. Compared with fragmented readmissions where no HIE was available, the average marginal effects of same-HIE and different-HIE admission-readmission pairs were -$2329.55 (95% CI: -7333.73, 2674.62) and -$3905.20 (95% CI: -7592.85, -307.54), respectively. While the average marginal effects of different-HIE pairs were lower than those for no-HIE fragmented readmissions, the average marginal effects of same-HIE and different-HIE pairs were not significantly different from each other.

CONCLUSIONS

There were no statistical differences in charges between fragmented readmissions to hospitals that share an HIE or that do not share an HIE compared with hospitals with no HIE available.

Readmission after thoracic endovascular aortic repair following blunt thoracic aortic injury

PURPOSE

Thoracic endovascular aortic repair (TEVAR) is increasingly utilized to treat blunt thoracic aortic injury (BTAI), but post-discharge outcomes remain underexplored. We examined 90-day readmission in patients treated with TEVAR following BTAI.

METHODS

Adult patients discharged alive after TEVAR for BTAI in the Nationwide Readmissions Database between 2016 and 2019 were included. Outcomes examined were 90-day non-elective readmission, primary readmission reasons, and 90-day mortality. As a complementary analysis, 90-day outcomes following TEVAR for BTAI were compared with those following TEVAR for acute type B aortic dissection (TBAD).

RESULTS

We identified 2085 patients who underwent TEVAR for BTAI. The median age was 43 years (IQR, 29-58), 65% of all patients had an ISS ≥ 25, and 13% were readmitted within 90 days. The main primary causes for readmission were sepsis (8.8%), wound complications (6.7%), and neurological complications (6.5%). Two patients developed graft thrombosis as primary readmission reasons. Compared with acute TBAD patients, BTAI patients had a significantly lower rate of readmission within 90 days (BTAI vs. TBAD; 13% vs. 29%; p < .001).

CONCLUSION

We found a significant proportion of readmission in patients treated with TEVAR for BTAI. However, the 90-day readmission rate after TEVAR for BTAI was significantly lower compared with acute TBAD, and the common cause for readmission was not related to residual aortic disease or vascular devices. This represents an important distinction from other patient populations treated with TEVAR for acute vascular conditions. Elucidating differences between trauma-related TEVAR readmissions and non-traumatic indications better informs both the clinician and patients of expected post-discharge course. Level of evidence/study type: IV, Therapeutic/care management.

Identifying Risk Factors for AMA Discharge After Injury at a Level 1 Trauma Center

BACKGROUND

Discharging a patient against medical advice (AMA) is used to describe when a patient opts to leave the hospital prior to a physician's recommendation while acknowledging the risks of doing so. There are limited published data that identify risk factors for patients leaving AMA, particularly after trauma.

OBJECTIVE

This study sought to delineate risk factors for AMA discharge after trauma.

METHODS

Trauma patients who left AMA at our ACS-verified level 1 trauma center were retrospectively included (2021-2022) without exclusions. Demographics, clinical/injury data, and outcomes were collected. The primary outcome was patient-stated reason for leaving AMA. Study variables were summarized with descriptive statistics.

RESULTS

During the study period, 262 (8%) of 3218 admitted trauma patients left AMA. Psychiatric disease was present in most patients (n = 197, 75%), including substance abuse (n = 146, 56%), and alcohol abuse (n = 95, 36%). Common patient-stated reasons for leaving AMA were inability/unwillingness to wait for procedure, imaging, or placement (n = 56, 22%); and psychiatric disease other than alcohol/substance abuse (n = 39, 15%). Of the patients who left AMA, 29% (n = 77) returned to the hospital 30 days, and 13% (n = 35) were readmitted.

CONCLUSION

Patients who leave AMA are at elevated risk of returning to the hospital, which incurs additional costs in already resource-constrained systems. These findings provide impetus for early identification of high-risk patients and efforts to decrease wait times for imaging, procedures, and placement. These actions may mitigate AMA discharges and their resultant impact on patients and hospitals.

Injury-related emergency department visits and unplanned readmissions are associated with worse long-term mental and physical health

BACKGROUND

The risk factors for unplanned emergency department (ED) visits and readmission after injury and the impact of these unplanned visits on long-term outcomes are not well understood. We aim to: 1) describe the incidence of and risk factors for injury-related ED visits and unplanned readmissions following injury and, 2) explore the relationship between these unplanned visits and mental and physical health outcomes 6-12 months post-injury.

METHODS

Trauma patients with moderate-to-severe injury admitted to one of three Level-I trauma centers were asked to complete a phone survey to assess mental and physical health outcomes at 6-12 months. Patient reported data on injury-related ED visits and readmissions was collected. Multivariable regression analyses were performed controlling for sociodemographic and clinical variables to compare subgroups.

RESULTS

Of 7,781 eligible patients, 4675 were contacted and 3,147 completed the survey and were included in the analysis. 194 (6.2%) reported an unplanned injury-related ED visit and 239 (7.6%) reported an injury-related readmission. Risk factors for injury-related ED visits included: younger age, Black race, a lower level of education, Medicaid insurance, baseline psychiatric or substance abuse disorder and penetrating mechanism. Risk factors for unplanned injury-related readmission included younger age, male sex, Medicaid insurance, substance abuse disorder, greater injury severity and penetrating mechanism of injury. Injury-related ED visits and readmissions were associated with significantly higher rates of PTSD, chronic pain and new injury-related functional limitations in addition to lower SF-12 mental and physical composite scores.

CONCLUSIONS

Injury-related ED visits and unplanned readmissions are common after hospital discharge following treatment of moderate-severe injury and are associated with worse mental and physical health outcomes.

Burden of unintentional pediatric firearm injury: An examination of the Nationwide Readmission Database

BACKGROUND

Significant increases in firearm-related mortality in the US pediatric population drive an urgent need to study these injuries to drive prevention policies. The purpose of this study was (1) to characterize those with and without readmissions, (2) to identify risk factors for 90-day unplanned readmission, and (3) to examine reasons for hospital readmission.

METHODS

The 2016-2019 Nationwide Readmission Database of the Healthcare Cost and Utilization Project was used to identify hospital admissions with unintentional firearm injury in patients younger than 18 years. Ninety-day unplanned readmission characteristics were assessed and detailed. Multivariable regression analysis was used to assess factors associated with unplanned 90-day readmission.

RESULTS

Over 4 years, 1,264 unintentional firearm injury admissions resulted in 113 subsequent readmissions (8.9%). There were no significant differences in age or payor, but more women (14.7% vs. 23%) and older children (13-17 years [80.5%]) had readmissions. The mortality rate during primary hospitalization was 5.1%. Survivors of initial firearm injury were more frequently readmitted if they had a mental health diagnosis (22.1% vs. 13.8%; p = 0.017). Readmission diagnosis included complications (15%), mental health or drug/alcohol (9.7%), trauma (33.6%), a combination of the prior three (28.3%), and chronic disease (13.3%). More than a third (38.9%) of the trauma readmissions were for new traumatic injury. Female children, those with longer lengths of stay, and those with more severe injuries were more likely to have unplanned 90-day readmissions. Mental health and drug/alcohol abuse diagnoses were not an independent predictor for readmission.

CONCLUSION

This study provides insight into the characteristics of and risk factors for unplanned readmission in the pediatric unintentional firearm injury population. In addition to using prevention strategies, the utilization of trauma-informed care must be integrated into all aspects of care for this population to help minimize the long-term psychological impact of surviving firearm injury.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level IV.

History repeats itself: Impact of mental illness on violent reinjury and hospital reencounters among female victims of interpersonal violence

BACKGROUND

Violence-related reinjury impacts both patients and health care systems. Mental illness (MI) is prevalent among violently injured individuals. The relationship between preexisting MI and violent reinjury among women has not been fully characterized. Our objective was to determine if risk of hospital reencounter-violent reinjury and all-cause-was associated with preexisting MI at time of index injury among female victims of violence.

METHODS

All females (15-100 + years) presenting to a level I trauma center with violent injury (2002-2019) surviving to discharge were included (N = 1,056). Exposure was presence of preexisting MI. The primary outcome was hospital reencounters for violent reinjury and all-cause within one year (through 2020). The secondary outcome was the development of a new MI within one year of index injury. Odds of reencounter and development of new MI for those with and without preexisting MI were compared with multivariable logistic regression, stratified for interaction when appropriate.

RESULTS

There were 404 women (38%) with preexisting MI at time of index injury. Approximately 11% of patients with preexisting MI experienced violent reinjury compared to 5% of those without within 1 year ( p < 0.001). Specifically, those with MI in the absence of concomitant substance use had more than three times the odds of violent reinjury (adjusted Odds Ratio, 3.52 (1.57, 7.93); p = 0.002). Of those with preexisting MI, 64% had at least one reencounter for any reason compared to 46% of those without ( p < 0.001 ) . Odds of all-cause reencounter for those with preexisting MI were nearly twice of those without (adjusted Odds Ratio, 1.81 [1.36, 2.42]; p < 0.0001).

CONCLUSION

Among female victims of violence, preexisting MI is associated with a significantly increased risk of hospital reencounter and violent reinjury within the first year after index injury. Recognition of this vulnerable population and improved efforts at addressing MI in trauma patients is critical to ongoing prevention efforts to reduce violent reinjury.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level IV.

Identifying Quality Indicators for the Care of Hospitalized Injured Older Adults: A Scoping Review of the Literature

OBJECTIVES

Older adults represent more than 50% of trauma admissions in many high-income countries. Furthermore, they are at increased risk for complications, resulting in worse health outcomes than younger adults and a significant health care utilization burden. Quality indicators (QIs) are used to assess the quality of care in trauma systems, but few QIs reflect responses to older patients' specific needs. We aimed to (1) identify QIs used to assess acute hospital care for injured older patients, (2) assess support for identified QIs and, (3) identify gaps in existing QIs.

DESIGN

Scoping review of the scientific and gray literature.

METHODS

Selection and data extraction were performed by 2 independent reviewers. The level of support was assessed by the number of sources reporting QIs and whether they were developed according to scientific evidence, expert consensus, and patients' perspectives.

RESULTS

Of 10,855 identified studies, 167 were eligible. Among 257 different QIs identified, 52% were hip fracture specific. Gaps were identified for head injuries, rib, and pelvic ring fractures. Although 61% of QIs assessed care processes, 21% and 18% focused on structures and outcomes, respectively. Although most QIs were based on literature reviews and/or expert consensus, patients' perspective was rarely accounted for. The 15 QIs with the highest level of support included minimum time between emergency department arrival and ward admission, minimum time to surgery for fractures, assessment by a geriatrician, orthogeriatric review for hip fracture patients, delirium screening, prompt and appropriate analgesia, early mobilizations, and physiotherapy.

CONCLUSION AND IMPLICATIONS

Multiple QIs were identified, but their level of support was limited, and important gaps were identified. Future work should focus on achieving consensus for a set of QIs to assess the quality of trauma care to older adults. Such QIs could be used for quality improvement and ultimately improve outcomes for injured older adults.

Firearm injury survival is only the beginning: The impact of socioeconomic factors on unplanned readmission after injury

BACKGROUND

Firearm trauma remain a national crisis disproportionally impacting minority populations in the United States. Risk factors leading to unplanned readmission after firearm injury remain unclear. We hypothesized that socioeconomic factors have a major impact on unplanned readmission following assault-related firearm injury.

METHODS

The 2016-2019 Nationwide Readmission Database of the Healthcare Cost and Utilization Project was used to identify hospital admissions in those aged >14 years with assault-related firearm injury. Multivariable analysis assessed factors associated with unplanned 90-day readmission.

RESULTS

Over 4 years, 20,666 assault-related firearm injury admissions were identified that resulted in 2,033 injuries with subsequent 90-day unplanned readmission. Those with readmissions tended to be older (31.9 vs 30.3 years), had a drug or alcohol diagnosis at primary hospitalization (27.1% vs 24.1%), and had longer hospital stays at primary hospitalization (15.5 vs 8.1 days) [all P<0.05]. The mortality rate in the primary hospitalization was 4.5%. Primary readmission diagnoses included: complications (29.6%), infection (14.5%), mental health (4.4%), trauma (15.6%), and chronic disease (30.6%). Over half of the patients readmitted with a trauma diagnosis were coded as new trauma encounters. 10.3% of readmission diagnoses included an additional 'initial' firearm injury diagnosis. Independent predictors of 90-day unplanned readmission were public insurance (aOR 1.21, P = 0.008), lowest income quartile (aOR 1.23, P = 0.048), living in a larger urban region (aOR 1.49, P = 0.01), discharge requiring additional care (aOR 1.61, P < 0.001), and discharge against medical advice (aOR 2.39, P < 0.001).

CONCLUSIONS

Here we present socioeconomic risk factors for unplanned readmission after assault-related firearm injury. Better understanding of this population can lead to improved outcomes, decreased readmissions, and decreased financial burden on hospitals and patients. Hospital-based violence intervention programs may use this to target mitigating intervention programs in this population.

Ambulance use and subsequent fragmented hospital readmission among older adults

BACKGROUND

Interhospital care fragmentation, when a patient is readmitted to a different hospital than they were originally discharged from, occurs in 20%-25% of readmissions. Mode of transport to the hospital, specifically ambulance use, may be a risk factor for fragmented readmissions. Our study seeks to further understand the relationship between ambulance transport and fragmented readmissions in older adults, a population that is at increased risk for poor outcomes following fragmented readmissions.

METHODS

We analyzed inpatient claims from Medicare beneficiaries in 2018 who had a hospital admission for select Hospital Readmission Reduction Program Conditions (acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, pneumonia) as well as dehydration, syncope, urinary tract infection, or behavioral issues. We evaluated the associations between ambulance transport and a fragmented readmission using logistic regression models adjusted for demographic, clinical, and hospital characteristics.

RESULTS

The study included 1,186,600 30-day readmissions. Of these, 46.8% (n = 555,847) required ambulance transport. In fully adjusted models, taking an ambulance to the readmission hospital increased the odds of a fragmented readmission by 38% (95% CI 1.32, 1.44). When this association was examined by readmission major diagnostic category (MDC), the strongest associations were seen for Factors Influencing Health Status and Other Contacts with Health Services (i.e., rehabilitation, aftercare) (AOR 3.66, 95% CI 3.11, 4.32), Mental Diseases and Disorders (AOR 2.69, 95% CI 2.44, 2.97), and Multiple Significant Trauma (AOR 2.61, 95% CI 1.56, 4.35). When the model was stratified by patient origin, ambulance use remained associated with fragmented readmissions across all locations.

CONCLUSIONS

Ambulance use is associated with increased odds of a fragmented readmission, though the strength of the association varies by readmission diagnosis and origin. Patient-, hospital-, and system-level interventions should be developed, implemented, and evaluated to address this modifiable risk factor.

Financial Toxicity in Emergency General Surgery: Novel Propensity-Matched Outcome Comparison

BACKGROUND

Financial toxicity describes the harmful effect of individual treatment costs and fiscal burdens that have a compounding negative impact on outcomes in surgery. While this phenomenon has been widely studied in surgical oncology, the purpose of this study was to perform a novel exploration of the impact of financial toxicity in emergency general surgery (EGS) patients throughout the US.

STUDY DESIGN

The Nationwide Readmissions Database for January and February 2018 was queried for all EGS patients aged 18 to 65 years. One-to-one propensity matching was performed with and without risk for financial toxicity. The primary outcome was mortality, and the secondary outcomes were venous thromboembolism (VTE), prolonged length of stay (LOS), and readmission within 30 days.

RESULTS

There were 24,154 EGS patients propensity matched. The mortality rate was 0.2% (n = 39), and the rate of VTE was 0.5% (n = 113). With financial toxicity, there was no statistically significant difference for mortality (p = 0.08) or VTE (p = 0.30). The rate of prolonged LOS was 6.2% (n = 824), and the risk was increased with financial toxicity (risk ratio 1.24 [1.12 to 1.37]; p < 0.001). The readmission rate was 7.0% (n = 926), and the risk with financial toxicity was increased (risk ratio 1.21 [1.10 to 1.33]; p < 0.001). The mean count of comorbidities per patient per admission during readmission within 1 year with financial toxicity was 2.1 ± 1.9 versus 1.8 ± 1.7 without (p < 0.001).

CONCLUSIONS

Despite little difference in the rate of mortality or VTE, EGS patients at risk for financial toxicity have an increased risk of readmission and longer LOS. Fewer comorbidities were identified at index admission than during readmission in patients at risk for financial toxicity. Future studies aimed at reducing this compounding effect of financial toxicity and identifying missed comorbidities have the potential to improve EGS outcomes.

Predictors of hospital readmission after trauma: A retrospective cohort study in New Zealand

INTRODUCTION

Understanding predictors of hospital readmission following major trauma is important as readmissions are costly and some are potentially avoidable. This study describes the incidence of, and sociodemographic, injury-related and treatment-related factors predictive of, hospital readmission related to: a) all-causes, b) the index trauma injury, and c) subsequent injury events in the 30 days and 12 months following discharge for major trauma patients nationally in New Zealand.

METHODS

Data from the New Zealand Trauma Registry (NZTR) was linked with Ministry of Health hospital discharge data. Hospital readmissions were examined for all patients entered into the NZTR for an injury event between 1 January and 31 December 2018. Readmissions were examined for the 12-months following the discharge date for participant's index trauma injury.

RESULTS

Of 1986 people, 42% had ≥1 readmission in the 12 months following discharge; 15% within 30 days. Seven percent had ≥1 readmission related to the index trauma within 30 days of discharge; readmission was 3.43 (95% CI 1.87, 6.29) times as likely if the index trauma was self-inflicted compared to unintentional, and 1.64 (95% CI 1.15, 2.34) times as likely if the index trauma involved intensive care unit admission. Those admitted to hospital for longer for their index trauma were less likely to be readmitted due to their index trauma injury within 30 days compared to those admitted for 0-1 day. Seventeen percent were readmitted for a subsequent injury event within 12 months, with readmission more likely for older people (>65 years), those with comorbidities, Māori compared with non-Māori and those with higher trauma injury severity.

CONCLUSION

A substantial proportion of people are readmitted after discharge for major trauma. Factors identified in this study will be useful to consider when developing interventions to reduce preventable readmissions including those related to the index trauma injury, readmissions from other causes and subsequent injury-related readmissions. Further research specifically examining planned and unplanned readmissions is warranted.

Association of distance between hospitals and volume of shared admissions

Background

To assess whether decreasing distance between hospitals was associated with the number of shared patients (patients with an admission to one hospital and a readmission to another).

Methods

Data were from the Healthcare Cost and Utilization Project’s State Inpatient Databases (Florida, Georgia, Maryland, Utah [2017], New York, Vermont [2016]) and the American Hospital Association Annual Survey (2016 & 2017). This was a cross-sectional analysis of patients who had an index admission and subsequent readmission at different hospitals within the same year. We used unadjusted and adjusted linear regression to evaluate the association between the number of shared patients and the distance between admission-readmission hospital pairs.

Results

There were 691 hospitals in the sample (247 in Florida, 151 in Georgia, 50 in Maryland, 172 in New York, 58 in Utah, and 13 in Vermont), accounting for a total of 596,772 admission-readmission pairs. 32.6% of the admission-readmission pairs were shared between two hospitals. On average, a one-mile decrease in distance between two hospitals was associated with of 3.05 (95% CI, 3.02, 3.07) more shared admissions. However, variability between states was wide, with Utah having 0.37 (95% CI 0.35, 0.39) more shared admissions between hospitals per one-mile shorter distance, and Maryland having 4.98 (95% CI 4.87, 5.08) more.

Conclusions

We found that proximity between hospitals is associated with higher volumes of shared admissions.

Trends and Burden of Firearm-Related Injuries Among Children and Adolescents: A National Perspective

INTRODUCTION

Firearm-related injuries in America have been under increasing scrutiny over the last several years. Few studies have examined the burden of these injuries in the pediatric population. The objective of this study was to describe the incidence of firearm-related injuries in hospitalized pediatric patients in the United States and identify the risk factors associated with readmission in this young population.

METHODS

The Nationwide Readmission Database was examined from 2010 to 2017. Pediatric patients (aged ≤18 y) who survived their index hospitalization for any firearm injury were analyzed to determine incidence rate, case fatality rate, risk factors for 30-d readmission, and financial health care burden.

RESULTS

There were 35,753 pediatric firearm injuries (86.8% male) with an overall incidence rate of 10.49 (95% confidence interval [CI]: 9.26-11.71) per 100,000 pediatric hospitalizations. Adolescents aged >12 y had the highest incidence rate (60.51, 95% CI: 55.19-65.84). In-hospital mortality occurred in 1948 cases (5.5%), with higher case fatality rates in males. There were 1616 (5.7%) unplanned 30-d readmissions. Multivariate analysis showed abdominal firearm injuries (hazard ratio: 1.13, 95% CI: 1.03-1.24; P = 0.006) and longer length of stay (hazard ratio: 1.27, 95% CI: 1.04-1.55; P = 0.016) were associated with a greater risk of 30-d readmission. The median health care cost for firearm-related injuries was $36,535 (interquartile range: $19,802-$66,443), 22% of which was due to readmissions. Cost associated with 30-d readmissions was $7978 (interquartile range: $4305-$15,202).

CONCLUSIONS

Firearm-related injury is a major contributor to pediatric morbidity, mortality, and health care costs. Males are disproportionately affected by firearm injury, but females are more likely to require unplanned 30-d readmissions. Interventions should target female sex, injuries of suicidal intent, psychiatric comorbidities, prolonged index hospitalization, and abdominal injuries.

Hospital readmission after blunt traumatic rib fractures

BACKGROUND

Hospital readmissions are resource intensive, associated with increased morbidity, and often used as hospital-level quality indicators. The factors that determine hospital readmission after blunt thoracic trauma have not been sufficiently defined. We sought to identify predictors of hospital readmission in patients with traumatic rib fractures.

METHODS

We performed an 8-year (2011-2019) retrospective chart review of patients with traumatic rib fractures who required unplanned readmission within 30 days of discharge at a Level 1 trauma center. Patient characteristics, injury severity, and hospital complications were examined using quantitative analysis to identify readmission risk factors.

RESULTS

There were 13,046 trauma admissions during the study period. The traumatic rib fracture cohort consisted of 3,720 patients. The cohort included 206 patients who were readmitted within 30 days of discharge. The mean age of the traumatic rib fracture cohort was 57 years, with a 6-day median length of stay. The 30-day mortality rate was 5%. Use of anticoagulation (11.0 vs. 5.4; p = 0.029), diagnosis of a psychiatric disorder (10.2 vs. 5.3; p = 0.01), active smoking (7.3 vs. 5.0; p = 0.008), associated hemothorax (8.3 vs. 5.2; p = 0.010), higher abdominal Abbreviated Injury Scale (33.3 vs. 8.4 vs. 6.5; p = 0.002), rapid response activation (8.9 vs. 5.2; p = 0.005), admission to intensive care unit (7.7 vs. 4.5; p = 0.001), and diagnosis of in-hospital pneumonia (10.1 vs. 5.4; p = 0.022) were predictors of hospital readmission. On multivariate analysis, prescribed anticoagulation (odds ratio [OR], 2.22; p = 0.033), active smoking (OR, 1.58; p = 0.004), higher abdominal Abbreviated Injury Scale (OR, 1.50; p = 0.054), and diagnosis of a psychiatric disorder (OR, 2.00; p = 0.016) predicted hospital readmission.

CONCLUSION

In patients with traumatic rib fractures, those with anticoagulant use, those who actively smoke, those with a psychiatric diagnosis, or those with associated abdominal injuries are at the highest risk of rehospitalization following discharge. Quality improvement should focus on strategies and protocols directed toward these groups to reduce nonelective readmissions.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level IV.

Lost in Follow-Up: Predictors of Patient No-Shows to Clinic Follow-Up After Abdominal Injury

BACKGROUND

The aim of this study is to evaluate risk factors for non-attendance to post-discharge, hospital follow-up appointments for traumatically injured patients who underwent exploratory laparotomy.

METHODS

This is a retrospective chart review of patients who underwent exploratory laparotomy for traumatic abdominal injury at an urban, Midwestern, level I trauma center with clinic follow-up scheduled after discharge. Clinically, relevant demographic characteristics, patients' distance from hospital, and the presence of staples, sutures, and drains requiring removal were collected. Descriptive statistics of categorical variables were calculated as totals and percentages and compared with a chi-squared test or Fisher's exact when appropriate.

RESULTS

The sample included 183 patients who were largely assaultive trauma survivors (68%), male (80%), and black (53%) with a mean age of 35.4 ± 14.9 years. Overall, 18.5% no-showed for their follow-up appointment. On multivariate analysis for clinic no-show; length of stay (odds ratio = 0.92 [0.84-0.99], P = 0.04) and the need for suture, staple, or drain removal were protective for clinic attendance (odds ratio = 5.59 [1.07-7.01], P = 0.04). Overall, 12 patients (6.4%) were readmitted. Forty patients (18.3%) had their follow-up in the emergency department (ED). On multivariate regression of risk factors for ED visits, the only statistically significant factors (P < 0.05) were clinic appointment no-show (OR = 2.81) and self-pay insurance (OR = 4.78).

CONCLUSIONS

Abdominal trauma patients are at high risk of no-show for follow-up appointments and no-show visits are associated with ED visits. Future work is needed evaluating interventions to improve follow-up.

The Association Between Early Versus Late Physical Therapy Initiation and Outcomes of Trauma Patients With and Without Traumatic Brain Injuries

BACKGROUND

There is a lack of literature regarding the most effective timing to initiate physical therapy (PT) among traumatically injured patients. We aim to evaluate the association between early PT/mobilization versus delayed or late PT/mobilization and clinical outcomes of trauma patients.

METHODS

A retrospective cohort analysis of an urban level-I trauma center from 2014 to 2019 was performed. Univariate analyses and multivariable logistic regression were performed with significance defined as P < 0.05.

RESULTS

A total of 11,937 patients were analyzed. Among patients without a traumatic brain injury (TBI), late PT initiation times were associated with 60% lower odds of being discharged home without services (P < 0.05), significantly increased hospital and ICU length of stay (H-LOS, ICU-LOS) (P < 0.05), and significantly higher odds of complications (VTE, pneumonia, pressure ulcers, ARDS) (P < 0.001). Among patients with a TBI, late PT initiation time had 76% lower odds of being discharged home without services (P < 0.05) and significantly longer H-LOS and ICU-LOS (P < 0.05) however did not experience significantly higher odds of complications (P > 0.05).

CONCLUSIONS

Among traumatically injured patients, early PT is associated with decreased odds of complications, shorter H-LOS and ICU-LOS, and a favorable discharge disposition to home without services. Adoption of early PT initiation/mobilization protocols and establishment of prophylactic measures against complications associated with delayed PT is critical to maximize quality of care and trauma patient outcomes. Multi-center prospective studies are needed to ascertain the impact of PT initiation times in greater detail and to minimize trauma patient morbidity.

Fragmentation of care in the blunt abdominal trauma patient: Capturing our true outcomes and impact on care

BACKGROUND

Trauma care is associated with unplanned readmissions, which may occur at facilities other than the index treatment facility. This "fragmentation of care" may be associated with adverse outcomes. We evaluated a statewide database that includes readmissions to analyze the incidence and impact of FC.

METHODS

The California Office of Statewide Health Planning and Development patient discharge data set was evaluated for calendar years 2016 to 2018. Patients 15 years or older diagnosed with blunt abdominal solid organ injury during the index admission were identified. Readmissions were evaluated postdischarge at 1, 3, and 6 months. Patients readmitted within 6 months to a facility other than the index admission facility (fragmented care [FC]) were compared with those readmitted to their index admission facility (non-FC). Logistic regression modeling was used to evaluate risk of FC.

RESULTS

Of the total 1,580 patients, there were 752 FC (47.6%) and 828 (52.4%) non-FC. Readmissions representing FC at months 1, 3, and 6 were 40.3%, 49.3%, and 53.4%, respectively. At index admission, the groups were demographically and clinically similar, with similar rates of abdominal operations and complications. Non-FC patients had a higher rate of abdominal reoperation at readmission (5.8% non-FC vs. 2.9% FC, p = 0.006). In an adjusted model, multiple readmissions (odds ratio [OR] 1.11, p = 0.014), readmission >30 days after index facility discharge (OR, 1.98; p < 0.001), and discharge to a nonmedical facility (OR, 2.46; p < 0.0001) were associated with increased odds of FC. Operative intervention at index admission was associated with lower odds of FC (OR, 0.77; p = 0.039). However, FC was not independently associated with demographic or insurance characteristics.

CONCLUSION

The rate of FC among patients with blunt abdominal injury is high. The risk of FC is mitigated when patients are managed operatively during the index admission. Trauma systems should implement measures to ensure that these patients are followed postdischarge.

LEVEL OF EVIDENCE

Prognostic and epidemiological, level III; Care management, level IV.

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.

Targeting zero preventable trauma readmissions

BACKGROUND

Nearly 1-in-10 trauma patients in the United States are readmitted within 30 days of discharge, with a median hospital cost of more than $8,000 per readmission. There are national efforts to reduce readmissions in trauma care, but we do not yet understand which are potentially preventable. Our study aims to quantify the potentially preventable readmissions (PPRs) in trauma care to serve as the anchor point for ongoing efforts to curb hospital readmissions and ultimately, bring preventable readmissions to zero.

METHODS

We identified inpatient hospitalizations after trauma and readmissions within 90 days in the 2017 National Readmissions Database (NRD). Potentially preventable readmissions were defined as the Agency for Healthcare Research and Quality-defined Ambulatory Care Sensitive Conditions, in addition to superficial surgical site infection, acute kidney injury/acute renal failure, and aspiration pneumonitis. Mean costs for these admissions were calculated using the NRD. A multivariable logistic regression model was used to characterize the relationship between patient characteristics and PPR.

RESULTS

A total of 1,320,083 patients were admitted for trauma care in the 2017 NRD, and 137,854 (10.4%) were readmitted within 90 days of discharge. Of these readmissions, 22.7% were potentially preventable. The mean cost was $10,001/PPR, resulting in $313,802,278 in cost to the US health care system. Of readmitted trauma patients younger than 65 years, Medicaid or Medicare patients had 2.7-fold increased odds of PPRs compared with privately insured patients. Patients of any age with congestive heart failure had 2.9 times increased odds of PPR, those with chronic obstructive pulmonary disease or complicated diabetes mellitus had 1.8 times increased odds, and those with chronic kidney disease had 1.7 times increased odds. Furthermore, as the days from discharge increased, the proportion of readmissions due to PPRs increased.

CONCLUSION

One-in-five trauma readmissions are potentially preventable, which account for more than $300 million annually in health care costs. Improved access to postdischarge ambulatory care may be key to minimizing PPRs, especially for those with certain comorbidities.

LEVEL OF EVIDENCE

Economic and value-based evaluations, level II.

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.

The burden of readmission after discharge from necrotizing soft tissue infection

BACKGROUND

The need for extensive surgical debridement with necrotizing soft tissue infections (NSTIs) may put patients at high risk for unplanned readmission. However, there is a paucity of data on the burden of readmission in patients afflicted with NSTI. We hypothesized that unplanned readmission would significantly contribute to the burden of disease after discharge from initial hospitalization.

METHODS

The Nationwide Readmission Database was used to identify adults undergoing debridement for NSTI hospitalizations from 2010 to 2017. Risk factors for 90-day readmission were assessed by Cox proportional hazards regression.

RESULTS

There were a total of 82,738 NSTI admissions during the study period, of which 25,076 (30.3%) underwent 90-day readmissions. Median time to readmission was 25 days (interquartile range, 9-49 days). Fragmentation of care, longer length of index stay (>2 weeks), and Medicaid status were independent risk factors for readmission. Median cost of a readmission was US $10,543. Readmission added 174,640 hospital days to episodes of care over the study period, resulting in an estimated financial burden of US $1.4 billion.

CONCLUSION

Unplanned readmission caused by NSTIs is common and costly. Interventions that target patients at risk for readmission may help decrease the burden of disease.

LEVEL OF EVIDENCE

Economic/Epidemiological, level IV.

Surgical stabilization of traumatic rib fractures is associated with reduced readmissions and increased survival

BACKGROUND

Surgical stabilization for rib fractures (SSRF) in trauma patients remains controversial, with guidelines currently suggesting the procedure for only select patient groups. How surgical stabilization for rib fractures affect hospital readmission in patients with traumatic rib fractures is unknown. We hypothesized that surgical stabilization for rib fractures would not decrease the risk of readmission.

METHODS

The National Readmission Database was examined for adults with any rib fractures from 2010 to 2017. Readmission up to 90 days was examined. Patients receiving surgical stabilization for rib fractures were compared with those receiving nonoperative treatment.

RESULTS

In total, 864,485 patients met criteria, with 13,701 (1.6%) receiving SSRF. For patients receiving SSRF, 338 (1.5%) were readmitted. Readmitted patients had higher Charlson Comorbidity Index and were more likely to have flail chest. On multivariate propensity score-matched analysis, SSRF (Hazard Ratio [HR]: 0.55, 95% confidence interval [CI] 0.33-0.92, P = .022) was associated with reduced readmission. Addition of surgical stabilization for rib fractures to video-assisted thoracoscopic surgery (VATS) (Odds Ratio [OR]: 0.95, 95% CI 0.52-1.73, P = .86) or thoracotomy (OR: 1.97, 95% CI 0.83-4.70, P = .13) was not associated with increased readmission. On further propensity matched analysis, VATS + SSRF when compared with SSRF alone (HR: 0.75, 95% CI 0.18-3.20, P = .696), and VATS + SSRF when compared with VATS alone (HR: 0.49, 95% CI 0.11-2.22, P = .355) was also not associated with increased readmission. SSRF on primary admission was associated with increased in-hospital survival (HR: 0.27, 95% CI 0.22-0.32, P < .001). For patients with retained hemothorax who underwent VATS, addition of SSRF did not improve survival (HR = 0.92, 95% CI 0.58-1.46, P = .72). However, for patients requiring thoracotomy for retained hemothorax, concomitant SSRF was associated with improved survival (HR = 0.14, 95% CI 0.06-0.32, P < .001).

CONCLUSION

Surgical stabilization for rib fractures is associated with reduced readmission risk while also being associated with improved survival. Patients who had a thoracotomy for retained hemothorax appear to especially benefit from concomitant surgical stabilization for rib fractures.

Readmission Following Hospitalization for Traumatic Brain Injury: A Nationwide Study

OBJECTIVE

To determine whether sociodemographic and clinical factors were associated with nonelective readmission within 30 days of hospitalization for traumatic brain injury (TBI). Secondary objectives were to examine the effects of TBI severity on readmission and characterize primary reasons for readmission.

SETTING

Hospitalized patients in the United States, using the 2014 Nationwide Readmission Database.

PARTICIPANTS

All patients hospitalized with a primary diagnosis of TBI between January 1, 2014, and November 30, 2014. We excluded patients (1) with a missing or invalid length of stay or admission date, (2) who were nonresidents, and 3) who died during their index hospitalization.

DESIGN

Observational study; cohort study.

MAIN MEASURES

Survey weighting was used to compute national estimates of TBI hospitalization and nonelective 30-day readmission. Associations between sociodemographic and clinical factors with readmission were assessed using unconditional logistic regression with and without adjustment for suspected confounders.

RESULTS

There were 135 542 individuals who were hospitalized for TBI; 8.9% of patients were readmitted within 30 days of discharge. Age (strongest association for 65-74 years vs 18-24 years: adjusted odds ratio [AOR], 2.57; 95% CI: 2.02-3.27), documentation of a fall (AOR, 1.24; 95% CI: 1.13-1.35), and intentional self-injury (AOR, 3.13; 95% CI: 1.88-5.21) at the index admission were positively associated with readmission. Conversely, history of a motor vehicle (AOR, 0.69; 95% CI: 0.62-0.78) or cycling (AOR, 0.56; 95% CI: 0.40-0.77) accident was negatively associated with readmission. Females were also less likely to be readmitted following hospitalization for a TBI (AOR, 0.87; 95% CI: 0.82-0.92).

CONCLUSIONS

Many sociodemographic and clinical factors were found to be associated with acute readmission following hospitalizations for TBI. Future studies are needed to determine the extent to which readmissions following TBI hospitalizations are preventable.

High Cost and Resource Utilization of Frostbite Readmissions in the United States

BACKGROUND

Frostbite is a high morbidity, high-cost injury that can lead to digit or limb necrosis requiring amputation. Our primary aim is to describe the rate of readmission following frostbite injury. Our secondary aims are to describe the overall burden of care, cost, and characteristics of repeat hospitalizations of frostbite-injured people.

METHODS

Hospitalizations following frostbite injury (index and readmissions) were identified in the 2016 and 2017 Nationwide Readmission Database. Multivariable logistic regression was clustered by hospital and additionally adjusted for severe frostbite injury, gender, year, payor group, severity, and comorbidity index. Population estimates were calculated and adjusted for by using survey weight, sampling clusters, and stratum.

RESULTS

In the two-year cohort, 1,065 index hospitalizations resulted in 1,907 total hospitalizations following frostbite injury. Most patients were male (80.3%), lived in metropolitan/urban areas (82.3%), and nearly half were insured with Medicaid (46.4%). Of the 842 readmissions, 53.7% were associated with complications typically associated with frostbite injury. Overall, 29% of frostbite injuries resulted in at least one amputation. The average total cost and total LOS of readmissions was $236,872 and 34.7 days. Drug or alcohol abuse, homelessness, Medicaid insurance, and discharge AMA were independent predictors of unplanned readmission. Factors associated with multiple readmissions include discharge AMA and Medicare Insurance, but not drug or alcohol abuse or homelessness. The population-based estimated unplanned readmission rate following frostbite injury was 35.4% (95% CI 32.2 - 38.6%).

CONCLUSIONS

This is the first study examining readmissions following frostbite injury on a national level. Drug or alcohol abuse, homelessness, Medicaid insurance, and discharge AMA were independent predictors of unplanned readmission, while only AMA discharge and Medicare insurance were associated with multiple readmissions. Supportive resources (community and hospital-based) may reduce unplanned readmissions of frostbite injured patients with those additional risk factors.

Association of Psychosocial Factors and Hospital Complications with Risk for Readmission After Trauma

BACKGROUND

Unplanned hospital readmissions are associated with morbidity and high cost. Existing literature on readmission after trauma has focused on how injury characteristics are associated with readmission. We aimed to evaluate how psychosocial determinants of health and complications of hospitalization combined with injury characteristics affect risk of readmission after trauma.

MATERIALS AND METHODS

We conducted a retrospective cohort study of adult trauma admissions from July 2015 to September 2017 to Harborview Medical Center in Seattle, Washington. We assessed patient, injury, and hospitalization characteristics and estimated associations between risk factors and unplanned 30-d readmission using multivariable generalized linear Poisson regression models.

RESULTS

Of 8916 discharged trauma patients, 330 (3.7%) had an unplanned 30-d readmission. Patients were most commonly readmitted with infection (41.5%). Independent risk factors for readmission among postoperative patients included public insurance (adjusted Relative Risk (aRR) 1.34, 95% CI 1.02-1.76), mental illness (aRR 1.39, 1.04-1.85), and chronic renal failure (aRR 2.17, 1.39-3.39); undergoing abdominal, thoracic, or neurosurgical procedures; experiencing an index hospitalization surgical site infection (aRR 4.74, 3.00-7.50), pulmonary embolism (aRR 3.38, 2.04-5.60), or unplanned ICU readmission (aRR 1.74, 1.16-2.62); shorter hospital stay (aRR 0.98/d, 0.97-0.99), and discharge to jail (aRR 4.68, 2.63-8.35) or a shelter (aRR 4.32, 2.58-7.21). Risk factors varied by reason for readmission. Injury severity, trauma mechanism, and body region were not independently associated with readmission risk.

CONCLUSIONS

Psychosocial factors and hospital complications were more strongly associated with readmission after trauma than injury characteristics. Improved social support and follow-up after discharge for high-risk patients may facilitate earlier identification of postdischarge complications.

Uncaptured rates of postpartum venous thromboembolism: a US national analysis

OBJECTIVE

To quantify the proportion of postpartum venous thromboembolism (VTE) readmissions, including those that occur at different hospitals from index admission, and describe risk factors for this outcome.

DESIGN

Retrospective observational study.

SETTING

US hospitals included in the Nationwide Readmissions Database.

SAMPLE

A total of 3 719 238 patients >14 years of age with a delivery-associated hospitalisation in 2014.

METHODS

Univariate analysis was performed to identify patient and hospital factors associated with readmissions. Significant factors were included in multivariate logistic regression to identify independent risk factors. Results were weighted for national estimates.

MAIN OUTCOME MEASURES

Readmission with VTE to both index and different hospitals at 30, 60 and 90 days.

RESULTS

The VTE cumulative readmission rate was 0.053% (n = 1477), 0.063% (n = 1765) and 0.069% (n = 1938) at 30, 60 and 90 days, respectively. Patients were readmitted to different hospitals 31% of the time within 90 days. Risk factors for different hospital VTE readmission were unique and included younger age and initial admission to a small/medium-sized hospital. Initial admission to a for-profit hospital increased the likelihood of readmission to a different hospital.

CONCLUSIONS

Nearly one in three postpartum VTEs are missed by the current quality metrics, with significant implications for outcomes and quality. For-profit hospitals have a significant portion of their VTE readmissions hidden, falsely lowering their readmission rates relative to public hospitals.

TWEETABLE ABSTRACT

US analysis shows 1 in 3 readmissions for postpartum venous thromboembolism currently missed.

Downstream hospital system effects of a comprehensive trauma recovery services program

BACKGROUND

Trauma patients are often noted to have poor compliance but high recidivism and readmission rates. Participation in a trauma recovery services (TRS) program, which provides peer support and other psychosocial resources, may impact the trajectory of patient recovery by decreasing barriers to follow-up. We hypothesized that TRS participants would have greater downstream nonemergent use of our hospital system over the year following trauma, manifested by more positive encounters, fewer negative encounters, and lower emergency department (ED) charges.

METHODS

We studied trauma survivors (March 2017 to March 2018) offered TRS. Hospital encounters and charges 1 year from index admission were compared between patients who accepted and declined TRS. Positive encounters were defined as outpatient visits and planned admissions; negative encounters were defined as no shows, ED visits, and unplanned admissions. Charges were grouped as cumulative ED and non-ED charges (including outpatient and subsequent admission charges). Adjusted logistic and linear regression analyses were used to identify factors associated with positive/negative encounters and ED charges.

RESULTS

Of 511 identified patients (68% male; injury severity score, 14 [9-19]), 362 (71%) accepted TRS. Trauma recovery services patients were older, had higher injury severity, and longer index admission length of stay (all p < 0.05). After adjusting for confounders, TRS patients were more likely to have at least one positive encounter and were similarly likely to have negative encounters as patients who declined services. Total aggregate charges for this group was US $74 million, of which US $30 million occurred downstream of the index admission. Accepting TRS was associated with lower ED charges.

CONCLUSION

A comprehensive TRS program including education, peer mentors, and a support network may provide value to the patient and the health care system by reducing subsequent care provided by the ED in the year after a trauma without affecting nonemergent care.

LEVEL OF EVIDENCE

Therapeutic/care management, level IV.

Readmission for venous thromboembolism after emergency general surgery is underreported and influenced by insurance status

BACKGROUND

Prior studies of venous thromboembolism (VTE) after emergency general surgery (EGS) are not nationally representative nor do they fully capture readmissions to different hospitals. We hypothesized that different-hospital readmission accounted for a significant number of readmissions with VTE after EGS and that predictive factors would be different for same- and different-hospital readmissions.

METHODS

The 2014 Nationwide Readmissions Database was queried for nonelective EGS hospitalizations. The outcomes were readmission to the index or different hospitals within 180 days with VTE. Multivariate logistic regressions identified risk factors for readmission to index and different hospitals with VTE, reported as odds ratios with their 95% confidence intervals. Patients were excluded if during the index admission they expired, developed a VTE, had a vena cava filter placed, or did not have at least 180 days of follow-up.

RESULTS

Of 1,584,605 patients meeting inclusion criteria, 1.3% (n = 20,963) of patients were readmitted within 180 days with a VTE. Of these, 28% (n = 5,866) were readmitted to a different hospital. Predictors overall for readmission with VTE were malignancy, prolonged hospitalization, age, and being publicly insured. However, predictors for readmission to a different hospital are based on hospital characteristics, including for-profit status, or procedure type.

CONCLUSIONS

Nearly one in three readmissions with VTE after EGS occurs at a different hospital and may be missed by current quality metrics that only capture same-hospital readmission. Such metrics may underestimate for-profit hospital postoperative VTE rates relative to public and nonprofit hospitals, potentially affecting benchmarking and reimbursement. Postdischarge VTE rate is associated with insurance status. These findings have implications for policy and prevention programming design.

LEVEL OF EVIDENCE

Epidemiological study, level III.

Barriers to improving health care value in emergency general surgery: A nationwide analysis

INTRODUCTION

There is a growing need to improve the quality of care while decreasing health care costs in emergency general surgery (EGS). Health care value includes costs and quality and is a targeted metric by improvement programs. The aim of our study was to evaluate the trend of health care value in EGS over time and to identify barriers to high-value surgical care.

METHODS

The (2012-2015) National Readmission Database was queried for patients 18 years or older who underwent an EGS procedure (according to the American Association for the Surgery of Trauma definition). Health care value (V = quality metrics/cost) was calculated from the rates of freedom from readmission, major complications, reoperation, and failure to rescue (FTR) indexed over inflation-adjusted hospital costs. Outcomes were the trends in the quality metrics: 6-month readmission, major complications, reoperation, FTR, hospital costs, and health care value over the study period. Multivariable linear regression was performed to determine the predictors of lower health care value.

RESULTS

We identified 887,013 patients who underwent EGS. Mean ± SD age was 51 ± 20 years, and 53% were male. The rates of 6-month readmission, major complications, reoperation, and FTR increased significantly over the study period. The median hospital costs also increased over the study period (2012, US $9,600 to 2015, US $13,000; p < 0.01). However, the health care value has decreased over the study period (2012, 0.35; 2013, 0.30; 2014, 0.28; 2015, 0.25; p < 0.01). Predictors of decreased health care value in EGS are age 65 years or older (β = -0.568 [-0.689 to -0.418], more than three comorbidities (β = -0.292 [-0.359 to -0.21]), readmission to a different hospital (β = -0.755 [-0.914 to -0.558]), admission to low volume centers (β = -0.927 [-1.126 to -0.682]), lack of rehabilitation (β = -0.004 [-0.005 to -0.003]), and admission on a weekend (β = -0.318 [-0.366 to -0.254]).

CONCLUSION

Health care value in EGS appears to be declining over time. Some of the factors leading to decreased health care value in EGS are potentially modifiable. Health care value could potentially be improved by reducing fragmentation of care and promoting regionalization.

LEVEL OF EVIDENCE

Economic, level IV.

Identifying Abuse and Neglect in Hospitalized Children With Burn Injuries

BACKGROUND

The purpose of this study was to identify the pattern of injuries that relates to abuse and neglect in children with burn injuries.

METHODS

The Nationwide Readmissions Database for 2010-2014 was queried for all patients aged less than 18 y admitted with burn injuries. The primary outcome was child maltreatment identified at the index admission. The secondary outcome was readmission for maltreatment. A subgroup analysis was performed on patients without a diagnosis of maltreatment during the index admission. Multivariable logistic regression was performed for each outcome.

RESULTS

There were 57,939 admissions identified and 1960 (3.4%) involved maltreatment at the index admission. Maltreatment was associated with total body surface area burned >20% (odds ratio (OR) 2.79, P < 0.001) and burn of the lower limbs (OR 1.37, P < 0.001). Readmission for maltreatment was found in 120 (0.2%), and the strongest risk factor was maltreatment identified at the index admission (OR 5.11, P < 0.001). After excluding the patients with maltreatment identified at the index admission, 96 (0.17%) children were found to have a readmission for maltreatment that may have been present on the index admission and subsequently missed. The strongest risk factor was burn of the eye or ocular adnexa (OR 3.79, P = 0.001).

CONCLUSIONS

This study demonstrates that a portion of admissions for burn injuries in children could involve maltreatment that was undiagnosed. Identifying these at-risk individuals is critical to prevention efforts.

Hospital Readmission After Climbing-Related Injury in the United States

INTRODUCTION

Rock climbing and mountaineering may result in injury requiring hospital admission. Readmission frequency after climbing-related injury is unknown. The aim of this study was to assess readmission frequency, morbidity, and mortality after admission for climbing-related injury.

METHODS

We performed a retrospective analysis of the 2012 to 2014 national readmission database, a nationally representative sample of all hospitalized patients. Rock climbing, mountain climbing, and wall climbing injuries were identified using International Classification of Diseases-Ninth Revision-Clinical Modification codes (E004.0). Outcomes evaluated included readmission frequency, morbidity, mortality, inpatient admission, and costs. Adjusted analyses accounting for survey methodology were performed. Data are presented as mean±SD.

RESULTS

A weighted-estimate 1324 inpatient admissions were associated with a climbing-related injury. Most patients were aged 18 to 44 y (64%), and 68% (n=896) were male. Isolated extremity injures were more common than other injuries (49%, n=645). Sixty-five percent (n=856) underwent a major operative procedure. Less than 1% of all climbing-related visits resulted in death. Within 6 mo of the index hospitalization, 2% (n=23) of the patients had at least 1 readmission, with a time to readmission of 9.9±6.6 (95% CI 4.5-15.4) d. Only female sex was associated with increased odds of readmission (odds ratio=5.5; 95% CI 1.5-20.1; P=0.01).

CONCLUSIONS

There is a very low frequency of readmissions after being admitted to the hospital for climbing-related injury. A considerable opportunity to describe the long-term burden of climbing-related injury exists, and further research should be done to assess injury burden treated in the outpatient setting.

Readmission for infection after blunt splenic injury: A national comparison of management techniques

BACKGROUND

As nonoperative management (NOM) of blunt splenic injury (BSI) increases, understanding risks, especially infectious complications, becomes more important. There are no national studies on BSI outcomes that track readmissions across hospitals. Prior studies demonstrate that infection is a major cause of readmission after trauma and that a significant proportion is readmitted to different hospitals. The purpose of this study was to compare nationwide outcomes of different treatment modalities for BSI including readmissions to different hospitals.

METHODS

The Nationwide Readmissions Database for 2010 to 2014 was queried for patients 18 years to 64 years old admitted nonelectively with a primary diagnosis of BSI. Organ space infection; a composite infectious incidence of surgical site infection (SSI), urinary tract infection, and pneumonia; and sepsis were identified in three groups: NOM, splenic artery embolization (SAE), and operative management (OM). Rates of infection were quantified during index admission and 30-day and 1-year readmission. Multivariable logistic regression was performed. Results were weighted for national estimates.

RESULTS

Of the 37,986 patients admitted for BSI, 54.1% underwent NOM, 12.2% SAE, and 33.7% OM. Compared with OM and NOM, SAE had the highest rates of organ space SSI at 1 year (3.9% vs. 2.2% vs. 1.7%, p < 0.001). Compared with NOM, at 1 year, SAE had higher rates of infection (17.2% vs. 8.1%, p < 0.001) and sepsis (3.2% vs. 1.1%, p < 0.001). Compared with NOM, SAE had an increased risk of infection (odds ratio [OR], 1.24; 95 confidence interval [95% CI], 1.10-1.39; p < 0.001) and sepsis (OR, 1.37; 95% CI, 1.06-1.76; p < 0.001) at 1 year. At 1 year, SAE had increased risk of organ space SSI (OR, 1.99; 1.60-2.47; p < 0.001) but OM did not.

CONCLUSION

Blunt splenic injury treated with SAE is at increased risk of both immediate and long-term infectious complications. Despite being considered splenic preservation, surgeons should be aware of these risks and incorporate such knowledge into their practice accordingly.

LEVEL OF EVIDENCE

Epidemiological study, level IV.

One-Year Health Care Utilization and Recurrence After Incisional Hernia Repair in the United States: A Population-Based Study Using the Nationwide Readmission Database

BACKGROUND

Most data on health care utilization after incisional hernia (IH) repair are limited to 30-days and are not nationally representative. We sought to describe nationwide 1-year readmission burden after IH repair (IHR).

METHODS

Patients undergoing elective IHR discharged alive were identified using the 2010-2014 Nationwide Readmission Database. Transfers and incomplete follow-up were excluded. Descriptive statistics were used to describe rates of 1-year readmission, IH recurrence, and bowel obstruction. Cox regression allowed identification of factors associated with 1-year readmissions. Generalized linear models were used to estimate predicted mean difference in cumulative costs/year, which allowed estimation of IHR readmission costs/year nationwide.

RESULTS

Of 15,935 identified patients, 19.35% were readmitted within 1 y. Patients who were readmitted differed by insurance, Charlson index, illness severity, smoking status, disposition, and surgical approach compared with those who were not (P < 0.05). Of readmitted patients, 39.3% returned within 30 d; 50.9% and 25.6% were due to any and infectious complications, respectively; 25.6% presented to a different hospital; 35.4% required reoperation; 5.4% experienced bowel obstruction; and 5% had IHR revision. Factors associated with readmissions included Medicare (hazard ratio [HR] 1.46 [95% confidence interval 1.19-1.8]; P < 0.01) or Medicaid (HR 1.42 [1.12-1.8], P < 0.01); chronic pulmonary disease (1.38 [1.17-1.64], P < 0.01), and anemia (1.36, [1.05-1.75], P = 0.02). Readmitted patients had higher 1-year cumulative costs (predicted mean difference $12,190 [95% CI: 10,941-13,438]; P < 0.01). Nationwide cost related to readmissions totaled $90,196,248/y.

CONCLUSIONS

One-year readmissions after IHR are prevalent and most commonly due to postoperative complications, especially infections. One-third of readmitted patients require a subsequent operation, and 5% experience IH recurrence, intensifying the burden to patients and on the health care system.

National Risk Factors for Child Maltreatment after Trauma: Failure to Prevent

The purpose of this study was to identify the risk factors for hospital readmission for child maltreatment after trauma, including admissions across different hospitals nationwide. The Nationwide Readmissions Database for 2010–2014 was queried for all patients younger than 18 years admitted for trauma. The primary outcome was readmission for child maltreatment. The secondary outcome was readmission for maltreatment presenting to a hospital different than the index admission hospital. A subgroup analysis was performed on patients without a diagnosis of maltreatment during the index admission. Multivariable logistic regression was performed for each outcome. There were 608,744 admissions identified and 44,569 (7.32%) involved maltreatment at the index admission. Readmission for maltreatment was found in 1,948 (0.32%) patients and 368 (18.89%) presented to a different hospital. The highest risk for readmission for maltreatment was found in patients with maltreatment identified at the index admission (odds ratios (OR) 9.48 [8.35–10.76]). The strongest risk factor for presentation to a different hospital was found with the lowest median household income quartile (OR 3.50 [2.63–4.67]). The subgroup analysis identified 647 (0.11%) children with readmission for maltreatment that was missed during the index admission. The strongest risk factor for this outcome was Injury Severity Score > 15 (OR 3.29 [2.68–4.03]). This study demonstrates that a significant portion of admissions for trauma in children and teenagers could be misrepresented as not involving maltreatment. These index admissions could be the only chance for intervention for child maltreatment. Identifying these at-risk individuals is critical to prevention efforts.

Patient Outcomes Following Interhospital Care Fragmentation: A Systematic Review

INTRODUCTION

Interhospital fragmentation of care occurs when patients are admitted to different, disconnected hospitals. It has been hypothesized that this type of care fragmentation decreases the quality of care received and increases hospital costs and healthcare utilization. This systematic review aims to synthesize the existing literature exploring the association between interhospital fragmentation of care and patient outcomes.

METHODS

MEDLINE, the Cochrane Library, EMBASE, and the Science Citation Index were systematically searched for studies published up to April 30, 2018 reporting the association between interhospital fragmentation of care and patient outcomes. We included peer-reviewed observational studies conducted in adults that reported measures of association between interhospital care fragmentation and one or more of the following patient outcomes: mortality, hospital length of stay, cost, and subsequent hospital readmission.

RESULTS

Seventy-nine full texts were reviewed and 22 met inclusion criteria. Nearly all studies defined fragmentation of care as a readmission to a different hospital than the patient was previously discharged from. The strongest association reported was that between a fragmented readmission and in-hospital or short-term mortality (adjusted odds ratio range 0.95-3.62). Over half of the studies reporting length-of-stay showed longer length of stay in fragmented readmissions. All three studies that investigated healthcare utilization suggested an association between fragmented care and odds of subsequent readmission. The study populations and exposures were too heterogenous to perform a meta-analysis.

DISCUSSION

Our review suggests that fragmented hospital readmissions contribute to increased mortality, longer length-of-stay, and increased risk of readmission to the hospital.

Readmissions after nonoperative trauma: Increased mortality and costs with delayed intervention

BACKGROUND

We sought to examine patterns of readmission after nonoperative trauma, including rates of delayed operative intervention and mortality.

METHODS

The Nationwide Readmissions Database (2013-2014) was queried for all adult trauma admissions and 30-day readmissions. Index admissions were classified as operative (OI) or nonoperative (NOI), and readmissions examined for major operative intervention (MOR). Multivariable regression modeling was used to evaluate risk for readmission requiring MOR and in-hospital mortality.

RESULTS

Of 2,244,570 trauma admissions, there were 59,573 readmissions: 66% after NOI, and 35% after OI. Readmission rate was higher after NOI compared with OI (3.6% vs. 1.7% p < 0.001). Readmitted NOI patients were older, with a higher proportion of Injury Severity Score ≥15 and were readmitted earlier (NOI median 8 days vs. OI 11 days). Thirty-one percent of readmitted NOI patients required MOR and experienced higher overall mortality compared with OI patients with operative readmission (NOI 2.9% vs. OI 2%, p = 0.02). Intracranial hemorrhage was an independent risk factor for NOI readmission requiring MOR in both the overall (hazard ratio, 1.11; 95% confidence interval [CI], 1.01-1.22) and Injury Severity Score of 15 or greater cohorts (hazard ratio, 1.46; 95% CI, 1.24-1.7), with a predominance of nonspine neurosurgical procedures (20.3% and 55.1%, respectively). Operative readmission after NOI cost a median of $17,364 (interquartile range, US $11,481 to US $27,816) and carried a total annual cost of US $147 million (95% CI, US $141 million to $154 million).

CONCLUSIONS

Nonoperative trauma patients have a higher readmission rate than operative index patients and nearly one third require operative intervention during readmission. Operative readmission carries a higher overall mortality rate in NOI patients and together accounts for nearly US $150 million in annual costs.

LEVEL OF EVIDENCE

Epidemiological, 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.

Unplanned readmission after traumatic injury: A long-term nationwide analysis

BACKGROUND

Long-term outcomes after trauma admissions remain understudied. We analyzed the characteristics of inpatient readmissions within 6 months of an index hospitalization for traumatic injury.

METHODS

Using the 2010 to 2015 Nationwide Readmissions Database, which captures data from up to 27 US states, we identified patients at least 15 years old admitted to a hospital through an emergency department for blunt trauma, penetrating trauma, or burns. Exclusion criteria included hospital transfers, patients who died during their index hospitalizations, and hospitals with fewer than 100 trauma patients annually. After calculating the incidences of all-cause, unplanned inpatient readmissions within 1 month, 3 months, and 6 months, we used multivariable logistic regression models to identify predictors of readmissions. Analyses adjusted for patient, clinical, and hospital factors.

RESULTS

Among 2,763,890 trauma patients, the majority had blunt injuries (92.5%), followed by penetrating injuries (6.2%) and burns (1.5%). Overall, rates of inpatient readmissions were 11.1% within 1 month, 21.6% within 6 months, and 29.8% within 6 months, with limited variability by year. After adjustment, the following were associated with all-cause 6 months inpatient readmissions: male sex (adjusted odds ratio [aOR], 1.10; 95% confidence interval [95% CI], 1.09-1.10), comorbidities (aOR, 1.21; 95% CI, 1.21-1.22), low-income quartiles (first and second) (aOR, 1.08; 95% CI, 1.07-1.10 and aOR, 1.04; 95% CI, 1.03-1.06, respectively), Medicare (aOR, 1.65; 95% CI, 1.62-1.69), Medicaid (aOR, 1.51; 95% CI, 1.48-1.53), being treated at private, investor-owned hospitals (aOR, 1.15; 95% CI, 1.12-1.18), longer hospital length of stay (aOR, 1.01; 95% CI, 1.01-1.01) and patient disposition to short-term hospital (aOR, 1.55; 95% CI, 1.49-1.62), skilled nursing facility (aOR, 1.43; 95% CI, 1.42-1.45), home health care (aOR, 1.27; 95% CI, 1.25-1.28), or leaving against medical advice (aOR, 1.85; 95% CI, 1.78-1.92).

CONCLUSION

Unplanned readmission after trauma is high and remains this way 6 months after discharge. Understanding the factors that increase the odds of readmissions within 1 month, 3 months, and 6 months offer a focus for quality improvement and have important implications for hospital benchmarking.

LEVEL OF EVIDENCE

Epidemiological study, level III.

Identifying Populations at Risk for Child Abuse: A Nationwide Analysis

PURPOSE

Child abuse is a national, often hidden, epidemic. The study objective was to determine at-risk populations that have been previously hospitalized prior to their admission for child abuse.

METHODS

The Nationwide Readmissions Database (NRD) was queried for all children hospitalized for abuse. Outcomes were previous admissions and diagnoses. χ² analysis was used; significance equals p < 0.05.

RESULTS

31,153 children were hospitalized for abuse (half owing to physical abuse) during the study period. 11% (n = 3487) of these children had previous admissions (one in three to a different hospital), while 3% (n = 1069) had multiple hospitalizations. 60% of prior admissions had chronic conditions, and 12% had traumatic injuries. Children with chronic conditions were more likely to have sexual abuse (89% vs. 57%, p < 0. 001) and emotional abuse (75% vs. 60%, p < 0. 01). 25% of chronic diagnoses were psychiatric, who were also more likely to have sexual and emotional abuse (47% vs. 5.5% and 10% vs. 1%, all p < 0. 001).

CONCLUSION

This study uncovers a hidden population of children with past admissions for chronic conditions, especially psychiatric diagnoses that are significantly associated with certain types of abuse. Improved measures to accurately identify at-risk children must be developed to prevent future childhood abuse and trauma.

LEVEL OF EVIDENCE

Level III.

TYPE OF STUDY

Retrospective comparative study.

[Analysis of causes and factors associated with hospital readmission in mild and moderate polythraumatism: An observational study]

BACKGROUND

Early readmissions (ER) occur during the 30 days after discharge, ER are common and expensive, associated with a decrease in the quality of care. The rate of ER in polytraumatic patients (PTP) is estimated between 4.3-15%. Our objective was to identify those factors associated with ER and its characteristics after suffering mild-moderate trauma in our area.

MATERIAL AND METHOD

This is a retrospective observational study, including data of patients with (PTP) mild or moderate admitted between July 2012 and June 2017 in our institution and their ER in public hospitals and/or outpatient centers. Demographic variables, diagnoses, procedures and characteristics of readmissions were collected. After a bivariant analysis was done, a Logistic regression had benn performed to determine risk factors for ER.

RESULTS

1013 patients were included, with median age of 38 years, ISS of 3 points and initial hospital stay of 1 day. 185 patients were readmitted (18.3%). Independent factors associated with ER were: injury mechanism, especially bicycle accident (OR 2.26), comorbidities highlighting HBP (OR 1.83) and COPD (OR 1.98), fracture immobilization (OR 1.99) and hospital admission in the initial care (OR 0.56). The causes of ER were: pain 61.6%, wound infection 15.1%, scheduled cures and deferred interventions 12.97%, medical 6.4% and psychiatric decompensation. 2.7% CONCLUSION: The ERs in mild-moderate PTP are multifactorial, our results show an association between factors such as injury mechanism, the presence of comorbidities and the procedures performed in the sentinel episode and the rate of ER. The implementation of simple interventions at discharge could reduce its incidence clearly.

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.

Predictors of discharge against medical advice in adult trauma patients

BACKGROUND

Patients who leave against medical advice (AMA) have higher readmission rates and mortality. However, little is known about the characteristics of trauma patients that leave AMA. The purpose of this study was to identify predictors for leaving AMA in adult trauma patients.

METHODS

The Trauma Quality Improvement Program database was queried between 2010 and 2016 for patients ≥18 years of age presenting after trauma. Two groups were compared: those who left AMA and those that did not. Bivariate analysis using Chi-squared and Mann-Whitney U tests was performed. A multivariable logistic regression analysis was performed to identify predictors for leaving AMA.

RESULTS

Of 1,403,466 trauma patients identified, 10,659 (0.76%) left AMA. Patients that left AMA were younger (median age, 48 vs. 53 years-old, p < 0.001), more often male (82.1% vs. 62.8%, p < 0.001), more likely to be black (23.6% vs. 14.9%, p < 0.001), and more likely to be uninsured (27.0% vs. 12.3%, p < 0.001). Patients leaving AMA were more likely to test positive for alcohol (36.1% vs. 17.4%, p < 0.001) or drug use (36.0% vs. 17.2%, p < 0.001) at time of admission. On multivariable logistic regression, the strongest predictors for leaving AMA were: no insurance (OR 2.00, CI 1.88-2.14, p < 0.001), alcohol use (OR 1.85, CI 1.74-1.96, p < 0.001) or drug use (OR 1.83, CI 1.72-1.94, p < 0.001), male gender (OR 1.83, CI 1.71-1.97, p < 0.001), and stab mechanism of injury (OR 1.58, CI 1.43-1.73, p < 0.001).

CONCLUSION

In adult trauma patients, male gender, stab mechanism of injury, being uninsured, and alcohol/drug use were strong predictors of leaving AMA. The risk factors identified may help in developing strategies aimed at preventing trauma patients from leaving AMA.

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 sub-population and, therefore, likely underestimate UHR readmissions.

What is the impact on the readmission ratio of taking into account readmissions to other hospitals? A cross-sectional study

OBJECTIVES

Readmissions are used widespread as an indicator of the quality of care within hospitals. Including readmissions to other hospitals might have consequences for hospitals. The aim of our study is to determine the impact of taking into account readmissions to other hospitals on the readmission ratio.

DESIGN AND SETTING

We performed a cross-sectional study and used administrative data from 77 Dutch hospitals (2 333 173 admissions) in 2015 and 2016 (97% of all hospitals). We performed logistic regression analyses to calculate 30-day readmission ratios for each hospital (the number of observed admissions divided by the number of expected readmissions based on the case mix of the hospital, multiplied by 100). We then compared two models: one with readmissions only to the same hospital, and another with readmissions to any hospital in the Netherlands. The models were calculated on the hospital level for all in-patients and, in more detail, on the level of medical specialties.

MAIN OUTCOME MEASURES

Percentage of readmissions to another hospital, readmission ratios same hospital and any hospital and C-statistic of each model in order to determine the discriminative ability.

RESULTS

The overall percentage of readmissions was 10.3%, of which 91.1% were to the same hospital and 8.9% to another hospital. Patients who went to another hospital were younger, more often men and had fewer comorbidities. The readmission ratios for any hospital versus the same hospital were strongly correlated (r=0.91). There were differences between the medical specialties in percentage of readmissions to another hospital and C-statistic.

CONCLUSIONS

The overall impact of taking into account readmissions to other hospitals seems to be limited in the Netherlands. However, it does have consequences for some hospitals. It would be interesting to explore what causes this difference for some hospitals and if it is related to the quality of care.

Nationwide risk factors for hospital readmission for subsequent injury after motor vehicle crashes

OBJECTIVE

Some drivers involved in motor vehicle crashes across the United States may be identified as at risk of subsequent injury by a similar mechanism. The purpose of this study was to perform a national review of the risk factors for hospitalization for a new injury due to a subsequent motor vehicle crash. It was hypothesized that presenting to a different hospital after subsequent injury would result in worse patient outcomes when compared to presentation at the same hospital.

METHODS

The Nationwide Readmissions Database for 2010-2014 was queried for all inpatient hospitalizations with injury related to motor vehicle traffic. The primary patient outcome of interest was subsequent motor vehicle crash-related injury within 1 year. The secondary patient outcomes were different hospital subsequent injury presentation, higher Injury Severity Score (ISS), longer length of stay (LOS), and in-hospital death after subsequent injury. The analysis of secondary patient outcomes was performed only on patients who were reinjured. Univariable analysis was performed for each outcome using all variables during the index admission. Multivariable logistic regression was performed using all significant (P < .05) variables on univariate analysis. Results were weighted for national estimates.

RESULTS

During the study period, 1,008,991 patients were admitted for motor vehicle-related injury; 12,474 patients (1.2%) suffered a subsequent injury within 1 year. From the reinjured patients, 32.9% presented to a different hospital, 48.9% had a higher ISS, and 22.1% had a longer LOS. The in-hospital mortality rate after subsequent injury was 1.1%. Presentation to a different hospital for subsequent injury was associated with a longer LOS (odds ratio [OR] = 1.32; 95% confidence interval [CI], 1.20-1.45; P < .01) and a higher ISS (OR = 1.38; 95% CI, 1.27-1.49; P < .01). Motorcyclists were more likely to suffer subsequent injury (OR = 1.39; 95% CI, 1.32-1.46; P < .01) and motorcycle passengers were more likely to present to a different hospital with a subsequent injury (OR = 2.49; 95% CI, 1.73-3.59; P < .01). Alcohol abuse was associated with subsequent injury (OR = 1.12; 95% CI, 1.07-1.18; P < .01).

CONCLUSIONS

Nearly a third of patients suffering subsequent motor vehicle crash-related injury after an initial motor vehicle crash in the United States present to a different hospital. These patients are more likely to suffer more severe injuries and longer hospitalizations due to their subsequent injury. Future efforts to prevent these injuries must consider the impact of this fragmentation of care and the implications for quality and cost improvements.