scholarly journals The impact of health insurance status on stage at diagnosis of oropharyngeal cancer

Cancer ◽  
2007 ◽  
Vol 110 (2) ◽  
pp. 395-402 ◽  
Author(s):  
Amy Y. Chen ◽  
Nicole M. Schrag ◽  
Michael T. Halpern ◽  
Elizabeth M. Ward
Keyword(s):  
Health Insurance ◽  
Oropharyngeal Cancer ◽  
Insurance Status ◽  
Stage At Diagnosis ◽  
Health Insurance Status ◽  
The Impact

Health Insurance Status as a Predictor of Mode of Colon Cancer Detection but Not Stage at Diagnosis: Implications for Early Detection

2021 ◽  
pp. 003335492199917
Author(s):  
Lindsey A. Jones ◽  
Katherine C. Brewer ◽  
Leslie R. Carnahan ◽  
Jennifer A. Parsons ◽  
Blase N. Polite ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Health Insurance ◽  
Early Detection ◽  
Late Stage ◽  
Early Stage ◽  
Insurance Status ◽  
Stage At Diagnosis ◽  
Health Insurance Status ◽  
Percentage Point Increase ◽  
Point Increase

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.

The impact of health insurance status on the stage of cervical cancer diagnosis at a tertiary care center in Massachusetts

2018 ◽  
Vol 150 (1) ◽  
pp. 67-72 ◽  
Author(s):  
Michelle Davis ◽  
Kyle Strickland ◽  
Sarah Rae Easter ◽  
Michael Worley ◽  
Colleen Feltmate ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Health Insurance ◽  
Cancer Diagnosis ◽  
Care Center ◽  
Tertiary Care ◽  
Insurance Status ◽  
Tertiary Care Center ◽  
Health Insurance Status ◽  
The Impact

scholarly journals The impact of health insurance status on the survival of patients with head and neck cancer

Cancer ◽  
2010 ◽  
Vol 116 (2) ◽  
pp. 476-485 ◽  
Author(s):  
Joseph Kwok ◽  
Scott M. Langevin ◽  
Athanassios Argiris ◽  
Jennifer R. Grandis ◽  
William E. Gooding ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Health Insurance ◽  
Head And Neck ◽  
Neck Cancer ◽  
Insurance Status ◽  
Health Insurance Status ◽  
The Impact

Use of Payer as a Proxy for Health Insurance Status on Admission Results in Misclassification of Insurance Status among Pediatric Trauma Patients

2016 ◽  
Vol 82 (2) ◽  
pp. 146-151 ◽  
Author(s):  
Elizabeth A. Carter ◽  
Lauren J. Waterhouse ◽  
Roy Xiao ◽  
Randall S. Burd
Keyword(s):  
Emergency Department ◽  
Health Insurance ◽  
Confidence Interval ◽  
Trauma Registry ◽  
Pediatric Trauma ◽  
Insurance Status ◽  
Trauma Patients ◽  
Patient Medical Record ◽  
Health Insurance Status ◽  
The Impact

The purpose of this study was to quantify health insurance misclassification among children treated at a pediatric trauma center and to determine factors associated with misclassification. Demographic, medical, and financial information were collected for patients at our institution between 2008 and 2010. Two health insurance variables were created: true (insurance on hospital admission) and payer (source of payment). Multivariable logistic regression was used to determine which factors were independently associated with health insurance misclassification. The two values of health insurance status were abstracted from the hospital financial database, the trauma registry, and the patient medical record. Among 3630 patients, 123 (3.4%) had incorrect health insurance designation. Misclassification was highest in patients who died: 13.9 per cent among all deaths and 30.8 per cent among emergency department deaths. The adjusted odds of misclassification were 6.7 (95% confidence interval: 1.7, 26.6) among patients who died and 16.1 (95% confidence interval: 3.2, 80.77) among patients who died in the emergency department. Using payer as a proxy for health insurance results in misclassification. Approaches are needed to accurately ascertain true health insurance status when studying the impact of insurance on treatment outcomes.

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