Insurance status predicts non-elective case status but not outcomes of thoracic aortic operations

2012 ◽  
Vol 215 (3) ◽  
pp. S45-S46 ◽  
Author(s):  
Nicholas D. Andersen ◽  
Jennifer M. Hanna ◽  
Syamal D. Bhattacharya ◽  
Judson B. Williams ◽  
Jeffrey G. Gaca ◽  
...  
2015 ◽  
Vol 04 (S 02) ◽  
Author(s):  
Amy Fenoglio ◽  
Daniel Bohl ◽  
Raj Gala ◽  
Seth Dodds

2020 ◽  
Vol 5 (3) ◽  
Author(s):  
Ravi J. Chokshi ◽  
Jin K. Kim ◽  
Jimmy Patel ◽  
Joseph B. Oliver ◽  
Omar Mahmoud

AbstractObjectivesThe impact of insurance status on oncological outcome in patients undergoing cytoreduction and hyperthermic intraperitoneal chemotherapy (CRS-HIPEC) is poorly understood.MethodsRetrospective study on 31 patients having undergone 36 CRS-HIPEC at a single institution (safety-net hospital) between 2012 and 2018. Patients were categorized as insured or underinsured. Demographics and perioperative events were compared. Primary outcome was overall survival (OS).ResultsA total of 20 patients were underinsured and 11 were insured. There were less gynecologic malignancies in the underinsured (p=0.02). On univariate analysis, factors linked to poor survival included gastrointestinal (p=0.01) and gynecologic malignancies (p=0.046), treatment with neoadjuvant chemotherapy (p=0.03), CC1 (p=0.02), abdominal wall resection (p=0.01) and Clavien–Dindo 3-4 (p=0.01). Treatment with neoadjuvant chemotherapy and abdominal wall resections, but not insurance status, were independently associated with OS (p=0.01, p=0.02 respectively). However, at the end of follow-up, six patients were alive in the insured group vs. zero in the underinsured group.ConclusionsIn this small, exploratory study, there was no statistical difference in OS between insured and underinsured patients after CRS-HIPEC. However, long-term survivors were observed only in the insured group.


Surgery ◽  
2021 ◽  
Author(s):  
Eric O. Yeates ◽  
Catherine Juillard ◽  
Areg Grigorian ◽  
Morgan Schellenberg ◽  
Natthida Owattanapanich ◽  
...  

2021 ◽  
pp. 003335492199917
Author(s):  
Lindsey A. Jones ◽  
Katherine C. Brewer ◽  
Leslie R. Carnahan ◽  
Jennifer A. Parsons ◽  
Blase N. Polite ◽  
...  

Objective For colon cancer patients, one goal of health insurance is to improve access to screening that leads to early detection, early-stage diagnosis, and polyp removal, all of which results in easier treatment and better outcomes. We examined associations among health insurance status, mode of detection (screen detection vs symptomatic presentation), and stage at diagnosis (early vs late) in a diverse sample of patients recently diagnosed with colon cancer from the Chicago metropolitan area. Methods Data came from the Colon Cancer Patterns of Care in Chicago study of racial and socioeconomic disparities in colon cancer screening, diagnosis, and care. We collected data from the medical records of non-Hispanic Black and non-Hispanic White patients aged ≥50 and diagnosed with colon cancer from October 2010 through January 2014 (N = 348). We used logistic regression with marginal standardization to model associations between health insurance status and study outcomes. Results After adjusting for age, race, sex, and socioeconomic status, being continuously insured 5 years before diagnosis and through diagnosis was associated with a 20 (95% CI, 8-33) percentage-point increase in prevalence of screen detection. Screen detection in turn was associated with a 15 (95% CI, 3-27) percentage-point increase in early-stage diagnosis; however, nearly half (47%; n = 54) of the 114 screen-detected patients were still diagnosed at late stage (stage 3 or 4). Health insurance status was not associated with earlier stage at diagnosis. Conclusions For health insurance to effectively shift stage at diagnosis, stronger associations are needed between health insurance and screening-related detection; between screening-related detection and early stage at diagnosis; or both. Findings also highlight the need to better understand factors contributing to late-stage colon cancer diagnosis despite screen detection.


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