Purpose: Brachial plexus injuries (BPIs) are devastating to patients not only functionally but also financially. Like patients experiencing other traumatic injuries and unexpected medical events, patients with BPIs are at risk of catastrophic health expenditure (CHE) in which out-of-pocket health spending exceeds 40% of postsubsistence income (income remaining after food and housing expenses). The individual financial strain after BPIs has not been previously quantified. The purpose of this study was to assess the proportion of patients with BPIs who experience risk of CHE after reconstructive surgery.
Methods: Administrative databases were used from 8 states to identify patients who underwent surgery for BPIs. Demographics including age, sex, race, and insurance payer type were obtained. Inpatient billing records were used to determine the total surgical and inpatient facility costs within 90 days after the initial surgery. Due to data constraints, further analysis was only conducted for privately-insured patients. The proportion of patients with BPIs at risk of CHE was recorded. Predictors of CHE risk were determined from a multivariable regression analysis.
Results: Among 681 privately-insured patients undergoing surgery for BPIs, nearly one-third (216 [32%]) were at risk of CHE. Black race and patients aged between 25 and 39 years were significant risk factors associated with CHE. Sex and the number of comorbidities were not associated with risk of CHE.
Conclusions: Nearly one-third of privately-insured patients met the threshold for being at risk of CHE after BPI surgery.
Clinical Relevance: Identifying those patients at risk of CHE can inform strategies to minimize long-term financial distress after BPIs, including detailed counseling regarding anticipated health care expenditures and efforts to optimize access to appropriate insurance policies for patients with BPIs.
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http://dx.doi.org/10.1016/j.jhsa.2022.12.001 | DOI Listing |
Diagnostics (Basel)
December 2024
Department of Gastroenterology and Hepatology, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki City 852-8501, Nagasaki, Japan.
: Covert hepatic encephalopathy (CHE) is associated with decreased quality of life. Detection of Child-Pugh class A is necessary for its early diagnosis. This study aimed to establish a simple diagnostic method of CHE in patients with Child-Pugh class A.
View Article and Find Full Text PDFBackground: Financial toxicity is the detrimental impact of health care costs that must be mitigated to achieve universal health coverage. Catastrophic health expenditure (CHE) is widely used to measure financial toxicity but does not capture patient perspectives of unaffordable health care costs. Financial hardship (FH), a patient-reported outcome measure, is currently underutilized but may be an important adjunct metric.
View Article and Find Full Text PDFJ Orthop Res
January 2025
Department of East Hospital Orthopaedic Trauma, Zibo Central Hospital, Zibo, China.
Ewing sarcoma (ES) is a malignant bone tumor prevalent among children and adolescents. Disulfidptosis represents a novel form of cell death; however, the mechanism of disulfidptosis in ES remains unclear. Our aim is to explore the disulfidptosis-related prognostic signature in ES.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Center for Hemodialysis, The Second Hospital of Dalian Medical University, Dalian, China.
Background: Virtual reality (VR) training uses computer-generated simulations that enable users to engage with immersive virtual environments, simulating real-world activities or therapeutic exercises. This technology is increasingly recognized as a promising intervention to address the physical and psychological challenges faced by dialysis patients, who frequently experience diminished physical function, social isolation, and emotional distress associated with prolonged treatment regimens. Given the increasing prevalence of dialysis patients and the limitations of conventional rehabilitation approaches, VR presents a novel, interactive method that has the potential to enhance patient well-being and improve quality of life.
View Article and Find Full Text PDFClin Exp Hypertens
December 2025
Department of Cardiovascular, Renal and Metabolic Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan.
Objectives: Sufficient attention has not been given to machine learning (ML) models using longitudinal data for investigating important predictors of new onset of hypertension. We investigated the predictive ability of several ML models for the development of hypertension.
Methods: A total of 15 965 Japanese participants (men/women: 9,466/6,499, mean age: 45 years) who received annual health examinations were randomly divided into a training group (70%, = 11,175) and a test group (30%, = 4,790).
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