Disparities in Demographics and Outcomes Based on Trauma Center Ownership.

INTRODUCTION: Ownership may influence trauma center (TC) location. For-profit (FP) TCs require a favorable payor mix to thrive, whereas not-for-profit (NFP) centers may rely on government funding, grants, and patient volume. We hypothesized that the demographics of trauma patients would be different for NFP and FP TCs due to ownership type. We also hypothesized that these demographic differences might be associated with outcomes such as length of stay, reported complications, and mortality. METHODS: We used the Florida Agency for Health Care Administration (AHCA) 2016-2017 inpatient dataset to examine differences in outcomes by trauma center ownership type. Negative binomial and logistical regression was used to compare trauma ownership, length of stay (LOS), reported complications, and mortality of severely injured nonelderly adult trauma patients. RESULTS: Our study analyzed risk factors and outcomes for 10,700 trauma alert patients. Patients treated at FP TCs were less likely to be Black (OR 0.70, 95% CI: 0.62-0.78), to be uninsured (OR 0.40, 95% CI 0.36-0.45), have Medicare (OR 0.53, 95% CI 0.43-0.66), or Medicaid (OR 0.57, 95% CI 0.50-0.65) (all P < 0.001). Patients treated at FP centers were less likely to have comorbidities (OR 0.89, 95% CI 0.82-0.96) and were associated with a longer LOS (0.10, 95% 0.05-0.15, P < 0.001) in nonelderly adult trauma patients. FP TCs were associated with fewer reported complications (OR 0.83, 95% CI 0.74-0.94) and were associated with a higher likelihood of mortality in nonelderly adults (OR 1.70, 95% CI 1.35-2.12, P < 0.001). CONCLUSIONS: Among this cohort of severe International Classification of Diseases-based injury severity score (ICISS) patients, complications were less likely, but LOS and mortality were increased among FP TC patients. FP centers cared for fewer patients who were Black, uninsured, or who were Medicare/Medicaid/noncommercial insurance.

Added Cost and Time Spent by Patients With History of Abuse in Florida Emergency Departments.

Interpersonal violence is known to lead to both short- and long-term health effects. Victims of sexual abuse tend to have higher healthcare costs and higher rates of physical and mental health issues than nonvictims. In this study, we investigate whether the comorbidity of mental illness and a personal history of adult physical and sexual abuse (HAPSA) results in higher healthcare costs and length of emergency department (ED) stay among Florida residents. A Negative Binomial and Log-Linear Regression Analysis suggest increased ED visit duration for those with a history of abuse, Hispanics, the uninsured, and those with multiple comorbidities. In addition, increased costs were found to be associated with White race, the uninsured, those with multiple comorbidities, and the facility type (for-profit hospitals).

Factors associated with lumbar fusion surgery: a case-control study.

PURPOSE: The objective of this study is to identify the demographic and payer factors that are associated with lumbar fusion surgery. METHODS: A case-control study was conducted utilizing a population of 38,092 patients from the 2010 Florida Agency for Health Care Administration (AHCA), USA hospital discharge data. The case population included 16,236 records with any of five ICD-9-CM principal procedure codes for initial lumbar fusion. The control group was comprised of 21,856 patients who were admitted for the same principal diagnoses as the cases, but who did not have initial fusion surgery. Logistic regression was used to analyze the association of age, gender, race and principal payer type with initial lumbar fusions. The interaction between age and payer was also examined, as payer type may moderate the association between age and lumbar fusion surgery. RESULTS: Gender, race, principal payer and age were all found to be significantly associated with lumbar fusion surgery. The interaction of payer and age was also found to be significant. Being female was significantly associated with having a fusion (OR = 1.11, 95 % CI 1.07-1.16). The association between age and receiving surgery was greatest for the less than 20 age group (OR = 10.43, 95 % CI 8.74-12.45). Employees and dependents of Federal government agencies (Tricare, etc.) and patients with commercial insurance were significantly associated with surgery (OR = 1.48, 95 % CI 1.29-1.70 and OR = 1.12, 95 % CI 1.04-1.20, respectively). Patients insured through Medicaid (a social health care program for those with low incomes and limited resources), and the uninsured were negatively associated with surgery (OR = 0.53, 95 % CI 0.47-0.60 and OR = 0.52, 95 % CI 0.46-0.58, respectively). CONCLUSIONS: Lumbar fusion surgery is not recommended in clinical practice guidelines for the top four principal diagnoses in this study. Yet, patients covered by certain types of insurance were found to be significantly associated with fusion surgery.

Survival advantage for elderly trauma patients treated in a designated trauma center.

BACKGROUND: This article analyzes the effectiveness of designated trauma centers (DTCs) in Florida concerning reduction in the mortality risk of severely injured elderly trauma victims. METHODS: Inpatient hospital data collected by the Agency for Health Care Administration were used to identify elderly trauma patients. An instrumental variables method was used to adjust for prehospital selection bias in addition to the influence of age, gender, race, risk of mortality, comorbidities, and type of injury. The model was estimated using a bivariate probit full information maximum likelihood model to determine the impact of triage to a trauma center as opposed to a nontrauma hospital. RESULTS: After adjusting for confounding influences, treatment at a DTC was associated with a statistically significant reduction of 0.072, 0.040, and 0.036 in the probability of mortality for patients in the age groups 65 years to 74 years, 75 years to 84 years, and ≥ 85 years, respectively. CONCLUSIONS: Treatment of severely injured elderly trauma patients in DTCs is associated with statistically significant gains in the probability of survival.

Evaluating the robustness of the CMS Hospital Value-Based Purchasing measurement system.

BACKGROUND: The Hospital Value-Based Purchasing Program (HVBP) is a pay for performance system that impacts traditional Medicare fee-for-service payments to hospitals through rewards and penalties. OBJECTIVES: To explore variation in overall and individual-hospital total performance score (TPS) and embedded domains for hospitals during 2014-2018. DATA SOURCE: Hospital data were retrieved from the publicly available HOSArchive dataset. STUDY DESIGN: Distribution of annual TPS and HVBP domain scores for 2014-2018 was evaluated using descriptive statistics. Transitional probabilities were analyzed to evaluate annual movement in the TPS ranking for outlier hospitals in the Top and Bottom 5%. PRINCIPAL FINDINGS: TPS scores are positively skewed while the distribution of domain scores vary with patient experience, (clinical) outcome, and efficiency domains having a large number of (positive) outliers. Mean TPS score decreased from 40.54 in 2014 to 38.04 by 2018. Improvement was shown in mean domain scores for clinical process of care and clinical outcome using 95% confidence intervals, with hospitals gaining 10 points over the study period in clinical outcome. Changes in the mean scores for other domains did not show consistent increases or decreases. Chi-square analyses of hospital ranking categories showed some evidence that, as a group, hospitals initially ranked in the Bottom 5% are making consistent annual movements to higher categories. In contrast, over half of the hospitals ranking in the initial Top 5% remained in the top category across all study years. CONCLUSIONS: It may be time for CMS to redesign the HVBP incentive program to assure the measures accurately demonstrate sustained improvement, the domain weights appropriately reflect the level of importance, and the TPS comparative ranking methodology does not discourage lower-performing hospitals from actively improving the care they deliver and achieving top ranks.

Association of mechanism of injury with overtriage of injured youth patients as trauma alerts.

BACKGROUND: Trauma alert criteria include physiologic and anatomic criteria, although field triage based on injury mechanism is common. This analysis evaluates injury mechanisms associated with pediatric trauma alert overtriage and estimates the effect of overtriage on patient care costs. METHODS: Florida's Agency for Health Care Administration inpatient and financial data for 2012-2014 were used. The study population included mildly and moderately injured patients aged 5-15 years brought to a trauma center and had an International Classification of Diseases-based Injury Severity Score survival probability ≥0.90, a recorded mechanism of injury, no surgery, a hospital stay less than 24 hours, and discharged to home. Overtriaged patients were those who had a trauma alert. Logistic regression was used to analyze the odds of overtriage relative to mechanism of injury and multivariable linear regression was used to analyze cost of overtriage. RESULTS: Twenty percent of patients were overtriaged; yet these patients accounted for 37.2% of total costs. The mechanisms of injury related to firearms (OR 11.99) and motor vehicle traffic (2.25) were positively associated with overtriage as a trauma alert. Inpatient costs were 131.8% higher for overtriaged patients. DISCUSSION: Firearm injuries and motor vehicle injuries can be associated with severe injuries. However, in this sample, a proportion of patients with this mechanism suffered minimal injuries. It is possible that further identifying relevant anatomic and physiologic criteria in youth may help decrease overtriage without compromising outcomes. LEVEL OF EVIDENCE: Economic, level IV.

Bayesian quantile regression-based partially linear mixed-effects joint models for longitudinal data with multiple features.

In longitudinal AIDS studies, it is of interest to investigate the relationship between HIV viral load and CD4 cell counts, as well as the complicated time effect. Most of common models to analyze such complex longitudinal data are based on mean-regression, which fails to provide efficient estimates due to outliers and/or heavy tails. Quantile regression-based partially linear mixed-effects models, a special case of semiparametric models enjoying benefits of both parametric and nonparametric models, have the flexibility to monitor the viral dynamics nonparametrically and detect the varying CD4 effects parametrically at different quantiles of viral load. Meanwhile, it is critical to consider various data features of repeated measurements, including left-censoring due to a limit of detection, covariate measurement error, and asymmetric distribution. In this research, we first establish a Bayesian joint models that accounts for all these data features simultaneously in the framework of quantile regression-based partially linear mixed-effects models. The proposed models are applied to analyze the Multicenter AIDS Cohort Study (MACS) data. Simulation studies are also conducted to assess the performance of the proposed methods under different scenarios.

The Probability of Hospitalizations for Mild-to-Moderate Injuries by Trauma Center Ownership Type.

OBJECTIVE: To corroborate anecdotal evidence with systematic evidence of a lower threshold for admission among for-profit hospitals. DATA SOURCES: The study used Florida emergency department and hospital discharge datasets for 2012 to 2014. The treatment variable of interest was for-profit-designated trauma center status. The dependent variable indicated whether a patient with mild-to-moderate injuries was admitted after presenting as a trauma alert and then discharged to home. A separate analysis was conducted of discharges that had a 1-day length of stay. STUDY DESIGN: Generalized estimation equations with logistic distribution models were used to control for the confounding influences and developed for four groups of patients: ICISS = 1 (no probability of mortality), ICISS ≥ 0.99, ICISS ≥ 0.95, and ICISS ≥ 0.85 (zero to 15 percent probability of mortality, which includes all mild and moderate injury patients). PRINCIPAL FINDINGS: For the ICISS = 1 and ICISS ≥ 0.99 models, the centers' for-profit status was the most important predictor. In the ICISS ≥ 0.95 and ICISS ≥ 0.85 models, injury type played a more important role, but for-profit status remained important. For patients with a 1-day stay, for-profit status was associated with an even higher probability of hospitalization. CONCLUSIONS: Considerable differences exist between for-profit and not-for-profit trauma centers concerning hospitalization among the study population, which may be explained by supplier-induced demand.

Association of Trauma Alert Response Charges With Volume and Hospital Ownership Type in Florida.

OBJECTIVE: The purpose was to analyze the association of trauma volume and hospital trauma center (TC) ownership type with trauma alert (TA) response charges, which are billed for activation of the trauma team to the emergency department (ED). METHODS: All Florida ED and inpatients who were billed a TA charge from 2012 to 2014 were included (62 974 observations). Multiple linear regression, controlling for patient and hospital factors, was used to identify associations between TA charges and trauma volume and hospital ownership type. Severity elasticity of trauma response charges was calculated by ownership type. RESULTS: Trauma volume had a significant, inverse relationship with TA charges. For-profit (FP) hospitals had significantly higher TA charges and government-owned hospitals had significantly lower TA charges relative to private not-for-profits. For-profit trauma response charges were inelastic to severity, that is, charges did not change with changes in severity. CONCLUSION: Higher TA charges were associated with lower patient volumes, as well as at FP TCs. Further, only FP TCs used alert charges that were not associated with injury severity. Adding new TCs that reduce volume at existing TCs is expected to increase TA charges, especially if they are FP TCs.

Special healthcare taxing districts: association with population health status.

BACKGROUND: Locally generated special healthcare taxes are an important component of community infrastructure, but their impact on the health status of populations has not been systematically addressed. METHODS: Florida counties were segmented on the basis of the use/nonuse of locally generated tax dollars for health care during the 1992-1996 period and analyzed in 2004. Linear mixed-effects regression analysis was used to test a model in which taxing behavior served as the primary predictor variable for total age-adjusted and selected cause-specific mortality. Race/ethnicity, rurality, poverty, access to a public hospital, and physician availability were controlled. RESULTS: Local taxation was associated with lower total age-adjusted mortality, and lower mortality for the major causes of death, except stroke, when compared to the state mean. Local taxation is protective relative to total age-adjusted mortality (odds ratio [OR]=0.63, 95% confidence interval [CI]=0.40-0.98) and age-adjusted mortality from chronic obstructive lung disease (OR=0.50, CI=0.32-0.79), cancers (OR=0.53, CI=0.34-0.084), and intentional injury (OR=0.50, CI=0.38-0.92). CONCLUSIONS: Locally generated tax revenues used for the provision of healthcare services are consistently associated with improved health outcomes of major public health importance. The means by which this advantage is achieved will require additional research.