The Impact of Payer Source on Trauma Outcomes in a Pediatric Population

Post-discharge rehabilitation and functional recovery after pediatric injury

INTRODUCTION

Variability in rehabilitation disposition has been proposed as a trauma center quality metric. Benchmarking rehabilitation disposition is limited by a lack of objective measures of functional impairment at discharge. The primary aim of this study was to determine the relative contribution of patient characteristics and hospitalization factors associated with inpatient and outpatient rehabilitation after discharge. The secondary aims were to evaluate the sensitivity of the Functional Status Scale (FSS) score for identifying functional impairments at hospital discharge and track post-discharge recovery.

PATIENTS AND METHODS

We report a planned secondary analysis of a prospective observational study of seriously injured children (<15 years old) enrolled at seven pediatric trauma centers. Functional Status Scale (FSS) score was measured for pre-injury, hospital discharge, and 6-month follow-up timepoints. Multinomial logistic regression identified factors associated with three dispositions: home without rehabilitation services, home with outpatient rehabilitation, and inpatient rehabilitation. Relative weight analysis was used to identify the impact of individual factors associated with inpatient or outpatient rehabilitation disposition.

RESULTS

We analyzed 427 children with serious injuries. Functional impairment at discharge was present in 103 (24.1%) children, including 43/337 (12.8%) discharged without services, 12/38 (31.6%) discharged with outpatient rehabilitation, and 44/47 (93.6%) discharged to inpatient rehabilitation. In multivariable modeling, variables most contributing to prediction of inpatient rehabilitation were severe initial Glasgow coma scale (GCS), injured body region, and functional impairment at discharge. Severe initial GCS, private insurance, and extremity injury were independently associated with disposition with outpatient rehabilitation. Patients discharged without services or with outpatient rehabilitation most frequently had motor impairments that improved during the next 6 months. Patients discharged to inpatient rehabilitation had impairments in all domains, with many improving within 6 months. A higher proportion of patients discharged to inpatient rehabilitation had residual impairments at follow-up.

CONCLUSION

Injury characteristics and discharge impairment were associated with discharge to inpatient rehabilitation. The FSS score identified impairments needing inpatient rehabilitation and characterized improvements after discharge. Less severe impairments needing outpatient rehabilitation were not identified by the FSS score.

Comparing Firearm and Stabbing Injuries in the Pediatric Trauma Population Using Propensity Matching

OBJECTIVES

The objective of this study was to compare differences in mortality and nonhome discharge in pediatric patients with firearm and stab injuries, while minimizing bias. Our secondary objective was to assess the influence of insurance on these same outcomes.

METHODS

Patients aged 0 to 17 years included in the National Trauma Data Bank (2007-2015) with firearm and stabbing injury were matched by propensity score. Logistic regression was used to assess associations of injury type and insurance with long-term care discharge and death.

RESULTS

The average age was 14.8 years, 19.2% were female, 48% were African American, 58.4% had an injury severity score ≤8, and assaults accounted for 73.1% of cases. Firearm injuries were associated with a higher risk of discharge to long-term care (adjusted odds ratio [aOR], 2.07) compared with propensity-matched patients who were stabbed. Similarly, we found a higher risk of mortality in those with firearm injuries compared with stabbing injuries (aOR, 1.85). Regardless of mechanism, self-pay insurance status was associated with a higher risk of mortality (aOR, 2.41). When compared with stab wound patients with commercial insurance, self-pay firearm-injured patients were found to have an increased risk of mortality (aOR, 5.25).

CONCLUSIONS

Pediatric victims of firearm violence were more likely to die or need additional care outside the home than victims of other types of penetrating injury when accounting for confounding characteristics to minimize bias.

Repeal of state laws permitting denial of health claims resulting from alcohol impairment: Impact on treatment utilization

BACKGROUND

Many states in the U.S. still have Alcohol Exclusion Laws (AELs), which allow insurance companies to deny health claims resulting from alcohol impairment. There are concerns that this form of structural stigmatization affects alcohol treatment-seeking behaviors. We examined the effects of AEL repeal on treatment admissions for alcohol use disorder (AUD).

METHODS

Data on alcohol treatment admissions from 1992 to 2017 were obtained from the Treatment Episode Data Set. The state-level aggregate number of treatment admissions was derived, including healthcare professional referrals only, self-referrals only, and both self-referral and healthcare professional referrals. The number of treatment admissions by health insurance status (private, public, and uninsured) was also calculated. The study used a difference-in-differences (DID) quasi-experimental design.

RESULTS

The DID analysis showed that the number of admissions for alcohol treatment from healthcare professional referrals increased 16% in the AEL repeal states compared to states with AELs or that never had AELs (IRR=1.16, 95% CI=1.07, 1.25). These results were consistent for analysis by payment sources. In particular, treatment admissions from healthcare professional referrals for patients covered by private insurance increased about 38% in states with AEL repeal (IRR=1.38, 95% CI=1.17, 1.64) compared to states without AEL repeal. However, the findings were no longer significant when the state-specific time trends were taken into account.

CONCLUSIONS

This study documented that AEL repeal may have had a significant impact on the number of treatment admissions for AUD. These findings suggest that AELs function as a barrier to treatment-seeking behavior.

Health disparities of critically ill children according to poverty: the Korean population-based retrospective cohort study

Background

There is a lack of nationwide studies on critically ill patients’ health disparity under the National Health Insurance (NHI) system. We evaluated health disparities in intensive care unit (ICU) admission, outcomes, and readmission in impoverished children.

Methods

We conducted a retrospective cohort study using a national database from the Korean NHI and Medical Aid Program (MAP). MAP supports the population whose household income is lower than 40% of the median Korean household income. We defined poverty as being a MAP beneficiary and compared the poverty and non-poverty groups. Patients between 28 days and 18 years old who were admitted to the ICU were included. Hospital mortality and readmission were analyzed with adjustment for patient characteristics, hospital type, and management procedures.

Results

Out of 17,893 patients, 1153 (6.4%) patients were in poverty. The age-standardized ICU admission rate was higher in the poverty group (126.9 vs. 80.2 per 100,000 person-years). There was more age-standardized mortality in the poverty group (11.8 vs. 4.3 per 100,000 person-years). Patients in the poverty group did not have a statistically different risk of adjusted in-hospital mortality to those in the non-poverty group (odds ratio: 1.15, confidence interval [CI]: 0.84–1.55) but had a higher readmission rate (hazard ratio 1.25, CI 1.09–1.42).

Conclusion

Under the NHI system, the disparity in pediatric critical care outcomes according to poverty is not definite, but the healthcare disparity in pre- and post-hospital care is a concern. Further studies are required to improve pre- and post-hospital healthcare quality of impoverished children.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11324-4.

US children of minority race are less likely to be admitted to the pediatric intensive care unit after traumatic injury, a retrospective analysis of a single pediatric trauma center

Background

The public health impact of pediatric trauma makes identifying opportunities to equalize health related disparities imperative. The influence of a child’s race on the likelihood of admission to the pediatric intensive care unit (PICU) is not well described. We hypothesized that traumatically injured children of minority race would have higher rates of PICU admission, compared to White children.

Methods

This was a retrospective review of a single institution’s trauma registry including children ≤18 years of age presenting to the emergency department (ED) whose injury necessitated pediatric trauma team activation at a Level 1 Pediatric Trauma Center from July 1, 2011 through June 30, 2016. Demographics, injury characteristics and hospital utilization data were collected. Race was categorized as White or racial minority, which included patients identifying as Black, Hispanic ethnicity, Native American or “other.” The primary outcome measure was admission to the PICU. Chi square or Mann Whitney rank sum tests were used, as appropriate, to compare differences in demographics and injury characteristics between those children who were and were not admitted to the PICU setting. Variables associated with PICU admission in univariate analyses were included in a multivariate analysis. Data are presented as median values and interquartile ranges, or numbers and percentages.

Results

The median age of the 654 included subjects was 8 [IQR 4–13] years; 55.2% were a racial minority. Nine (1.4%) children died in the ED and 576 (88.1%) were admitted to the hospital. Of the children requiring hospitalization, 195 (33.9%) were admitted to the PICU. Children admitted to the PICU were less likely to be from a racial minority group (26.1% vs 42.5%, p < 0.001). After adjusting for age and injury characteristics in a multivariable analysis, racial minority children had a lower odds of PICU admission compared to White children (OR 0.492 [95% C.I. 0.298–0.813, p = 0.006]).

Conclusions

In this retrospective analysis of traumatically injured children, minority race was associated with lower odds of PICU admission, suggesting that health care disparities based on race persist in pediatric trauma-related care.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40621-021-00309-x.

Mediators of racial disparities in mortality rates after traumatic brain injury in childhood: data from the Trauma Quality Improvement Program

OBJECTIVE

Social disparities in healthcare outcomes are almost ubiquitous, and trauma care is no exception. Because social factors cannot cause a trauma outcome directly, there must exist mediating causal factors related to the nature and severity of the injury, the robustness of the victim, access to care, or processes of care. Identification of these causal factors is the first step in the movement toward health equity.

METHODS

A noninferiority analysis was undertaken to compare mortality rates between Black children and White children after traumatic brain injury (TBI). Data were derived from the Trauma Quality Improvement Program (TQIP) registries for the years 2014 through 2017. Inclusion criteria were age younger than 19 years and head Abbreviated Injury Scale scores of 4, 5, or 6. A noninferiority margin of 10% was preselected. A logistic regression propensity score model was developed to distinguish Black and White children based on all available covariates associated with race at p < 0.10. Stabilized inverse probability weighting and a one-tailed 95% CI were used to test the noninferiority hypothesis.

RESULTS

There were 7273 observations of White children and 2320 observations of Black children. The raw mortality rates were 15.6% and 22.8% for White and Black children, respectively. The final propensity score model included 31 covariates. It had good fit (Hosmer-Lemeshow χ2 = 7.1604, df = 8; p = 0.5194) and good discrimination (c-statistic = 0.752). The adjusted mortality rates were 17.82% and 17.79% for White and Black children, respectively. The relative risk was 0.9986, with a confidence interval upper limit of 1.0865. The relative risk corresponding to the noninferiority margin was 1.1. The hypothesis of noninferiority was supported.

CONCLUSIONS

Data captured in the TQIP registries are sufficient to explain the observed racial disparities in mortality after TBI in childhood. Speculations about genetic or epigenetic factors are not supported by this analysis. Discriminatory care may still be a factor in TBI mortality disparities, but it is not occult. If it exists, evidence for it can be sought among the data included in the TQIP registries.