Catastrophic health expenditure in nonneurological injury due to motor vehicle crash

Author:

Nishtala Madhuri V.,Reed Madeline,Schumacher Jessica,Hanlon Bret,Venkatesh Manasa,Collins Michael,Zarzaur Ben L.

Abstract

BACKGROUND Motor vehicle crashes (MVCs) are a leading cause of nonfatal injury in the United States and impose a high financial cost to the patient and the economy. For many patients, this cost may be financially devastating and contribute to worsening health outcomes after injury. We aimed to describe the population level risk of catastrophic health expenditure (CHE) and determine factors associated with risk of CHE. METHODS We performed a retrospective review using the 2014–2017 Nationwide Inpatient Sample. The study population consisted of uninsured and privately insured adults aged 26 to 64 years who were hospitalized for nonneurologic traumatic injury due to MVCs. Our measure of financial hardship was CHE, which was defined as hospital charges ≥40% of postsubsistence income. Income estimates were derived from zip-code level data using Γ distribution modeling. RESULTS Our sample included 189,000 patients, of which 149,705 had private insurance and 39,375 were uninsured. The median estimated income for the study cohort was $66,118 (interquartile range, $65,353–$66,884). The median cost of hospitalization was $53,467 (interquartile range, $29,854–$99,914). In addition, 91.5% of uninsured patients suffering from MVC are at risk for CHE, and 10.1% of privately insured patients are at risk for CHE. Among the insured, Black, Hispanic, and low income were associated with CHE. CONCLUSION Nine of 10 uninsured patients are at risk for CHE after hospitalization for MVC. Despite having insurance, 10% of patients are still at risk of CHE. Black, Hispanic, and low-income communities are at highest risk of having private insurance and still experiencing CHE. This is the first population level analysis after the implementation of the Affordable Care Act that assesses the financial burden of no insurance and underinsurance. These data are important to understand the effectiveness of insurance coverage and guide hospital and policy level interventions to prevent CHE. LEVEL OF EVIDENCE Prognostic and Epidemiological; Level III.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Critical Care and Intensive Care Medicine,Surgery

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