3.9 Article Proceedings Paper

The Impact of Insurance Status on Actuarial Survival in Hospitalized Trauma Patients: When Do They Die?

期刊

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/TA.0b013e3182032b34

关键词

Insurance status; Cox proportional hazards regression; Disparities

向作者/读者索取更多资源

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 psychotic disorders, and complications after admission. Rate ratios (RRs) comparing the slopes of the adjusted survival curves were calculated using the Mantel-Cox method. Results: A total of 192,488 young trauma patients were identified with complete data. Increased hazard of death was seen in patients who were uninsured (hazard ratio [HR] = 1.69, 95% confidence interval [CI] = 1.59-1.80, p < 0.001), of a minority ethnicity (HR = 1.08, 95% CI = 1.01-1.15, p = 0.025) or men (HR = 1.14, 95% CI = 1.04-1.23, p = 0.004). RRs were significantly larger between insurance status (RR = 1.75, 95% CI = 1.58-1.94, p < 0.001) than between race (RR = 1.23, 95% CI = 1.10-1.37, p < 0.001) or between gender (RR = 1.16, 95% CI = 1.01-1.32, p = 0.030). Conclusion: Risk of death on the first hospital day after injury differs by insurance status, and this disparity becomes more pronounced throughout the hospital stay. Further study is necessary to determine whether this is a result of additional unmeasured patient covariates with insurance status or a difference in provider behavior in response to patient insurance status.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

3.9
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据