Background: Previous work has suggested that insurance status, gender, and ethnicity all have an independent association with mortality after trauma. The purpose of this study is to investigate whether these factors exerted survival impact that could be observed throughout the hospital stay.Methods: Using the National Trauma Data Bank (version 7.0), a Cox proportional hazards survival analysis was performed on young (19-30 years old) trauma patients to mitigate the impact of comorbid confounders. Variables included in the model were age, gender, ethnicity, Injury Severity Score, presence of shock at presentation, mechanism of injury, insurance status, year of admission, teaching status of the hospital, diagnosis of substance abuse or psycho...
Background: Patients treated at safety-net hospitals, facilities that care for a high percentage o...
Objective: To determine which factors predict death occurring in trauma patients who are alive on a...
OBJECTIVE The purpose of this study was to examine the influence of demographics, clinical factor...
Objective: To determine the effect of race and insurance status on trauma mortality. Methods: Review...
Introduction: Recognizing disparities in definitive care for traumatic injuries created by insurance...
Race and insurance status each independently predicts outcome disparities after trauma. African Amer...
Previous research has demonstrated that nonclinical factors are associated with differences in clini...
Background: Insurance-related outcomes disparities are well-known, but associations between distinct...
Background: Patients with penetrating injuries are known to have worse outcomes than those with blun...
BACKGROUND: Previous studies have reported that black race and lack of health insurance coverage are...
Background: Prior studies have demonstrated that race and insurance status predict inpatient trauma ...
Objective: Studies have shown disparities in mortality among racial groups and among those with diff...
Introduction: Race and insurance status are both independent predictors of outcome disparities after...
Background: Race and socioeconomic disparities are pervasive and persist throughout our health care ...
Importance: Racial disparities in survival after trauma are well described for patients younger than...
Background: Patients treated at safety-net hospitals, facilities that care for a high percentage o...
Objective: To determine which factors predict death occurring in trauma patients who are alive on a...
OBJECTIVE The purpose of this study was to examine the influence of demographics, clinical factor...
Objective: To determine the effect of race and insurance status on trauma mortality. Methods: Review...
Introduction: Recognizing disparities in definitive care for traumatic injuries created by insurance...
Race and insurance status each independently predicts outcome disparities after trauma. African Amer...
Previous research has demonstrated that nonclinical factors are associated with differences in clini...
Background: Insurance-related outcomes disparities are well-known, but associations between distinct...
Background: Patients with penetrating injuries are known to have worse outcomes than those with blun...
BACKGROUND: Previous studies have reported that black race and lack of health insurance coverage are...
Background: Prior studies have demonstrated that race and insurance status predict inpatient trauma ...
Objective: Studies have shown disparities in mortality among racial groups and among those with diff...
Introduction: Race and insurance status are both independent predictors of outcome disparities after...
Background: Race and socioeconomic disparities are pervasive and persist throughout our health care ...
Importance: Racial disparities in survival after trauma are well described for patients younger than...
Background: Patients treated at safety-net hospitals, facilities that care for a high percentage o...
Objective: To determine which factors predict death occurring in trauma patients who are alive on a...
OBJECTIVE The purpose of this study was to examine the influence of demographics, clinical factor...