Literature DB >> 27864706

Influence of insurance status and income in anaplastic astrocytoma: an analysis of 4325 patients.

Jacob Y Shin1, Ja Kyoung Yoon2, Aidnag Z Diaz2.   

Abstract

To determine the impact of insurance status and income for anaplastic astrocytoma (AA). Data were extracted from the National Cancer Data Base. Chi square test, Kaplan-Meier method, and Cox regression models were employed in SPSS 22.0 (Armonk, NY: IBM Corp.) for data analyses. 4325 patients with AA diagnosed from 2004 to 2013 were identified. 2781 (64.3%) had private insurance, 925 (21.4%) Medicare, 396 (9.2%) Medicaid, and 223 (5.2%) were uninsured. Those uninsured were more likely to be Black or Hispanic versus White or Asian (p < 0.001), have lower median income (p < 0.001), less educated (p < 0.001), and not receive adjuvant chemoradiation (p < 0.001). 1651 (38.2%) had income ≥$63,000, 1204 (27.8%) $48,000-$62,999, 889 (20.5%) $38,000-$47,999, and 581 (13.4%) had income <$38,000. Those with lower income were more likely to be Black or Hispanic versus White or Asian (p < 0.001), uninsured (p < 0.001), reside in a rural area (p < 0.001), less educated (p < 0.001), and not receive adjuvant chemoradiation (p < 0.001). Those with private insurance had significantly higher overall survival (OS) than those uninsured, on Medicaid, or on Medicare (p < 0.001). Those with income ≥$63,000 had significantly higher OS than those with lower income (p < 0.001). On multivariate analysis, age, insurance status, income, and adjuvant therapy were independent prognostic factors for OS. Being uninsured and having income <$38,000 were independent prognostic factors for worse OS in AA. Further investigations are warranted to help determine ways to ensure adequate medical care for those who may be socially disadvantaged so that outcome can be maximized for all patients regardless of socioeconomic status.

Entities:  

Keywords:  Anaplastic astrocytoma; Income; Insurance status; Outcome; Socioeconomic status

Mesh:

Year:  2016        PMID: 27864706     DOI: 10.1007/s11060-016-2339-y

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  36 in total

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Journal:  Neuro Oncol       Date:  2015-10-27       Impact factor: 12.300

2.  Survival following adjuvant PCV or temozolomide for anaplastic astrocytoma.

Authors:  Alba A Brandes; Linda Nicolardi; Alicia Tosoni; Marina Gardiman; Paolo Iuzzolino; Claudio Ghimenton; Michele Reni; Antonino Rotilio; Guido Sotti; Mario Ermani
Journal:  Neuro Oncol       Date:  2006-05-24       Impact factor: 12.300

3.  Addressing rising health care costs--a view from the Congressional Budget Office.

Authors:  Peter R Orszag; Philip Ellis
Journal:  N Engl J Med       Date:  2007-11-08       Impact factor: 91.245

4.  Adherence of low-income women to cancer screening recommendations.

Authors:  Ann S O'Malley; Christopher B Forrest; Jeanne Mandelblatt
Journal:  J Gen Intern Med       Date:  2002-02       Impact factor: 5.128

5.  Postoperative mortality after surgery for brain tumors by patient insurance status in the United States.

Authors:  Eric N Momin; Hadie Adams; Russell T Shinohara; Constantine Frangakis; Henry Brem; Alfredo Quiñones-Hinojosa
Journal:  Arch Surg       Date:  2012-11

6.  Socioeconomic status and comorbidity among newly diagnosed cancer patients.

Authors:  C T Schrijvers; J W Coebergh; J P Mackenbach
Journal:  Cancer       Date:  1997-10-15       Impact factor: 6.860

7.  Socioeconomic factors, health behaviors, and mortality: results from a nationally representative prospective study of US adults.

Authors:  P M Lantz; J S House; J M Lepkowski; D R Williams; R P Mero; J Chen
Journal:  JAMA       Date:  1998-06-03       Impact factor: 56.272

8.  The impact of health insurance status on the survival of patients with head and neck cancer.

Authors:  Joseph Kwok; Scott M Langevin; Athanassios Argiris; Jennifer R Grandis; William E Gooding; Emanuela Taioli
Journal:  Cancer       Date:  2010-01-15       Impact factor: 6.860

9.  The effect of comorbidity on 3-year survival of women with primary breast cancer.

Authors:  W A Satariano; D R Ragland
Journal:  Ann Intern Med       Date:  1994-01-15       Impact factor: 25.391

10.  Effect of insurance status on the stage of breast and colorectal cancers in a safety-net hospital.

Authors:  Daniel T Farkas; Arieh Greenbaum; Vinay Singhal; John M Cosgrove
Journal:  J Oncol Pract       Date:  2012-05       Impact factor: 3.840

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  2 in total

1.  Disparities in health care determine prognosis in newly diagnosed glioblastoma.

Authors:  Ankush Chandra; Jonathan W Rick; Cecilia Dalle Ore; Darryl Lau; Alan T Nguyen; Diego Carrera; Alexander Bonte; Annette M Molinaro; Philip V Theodosopoulos; Michael W McDermott; Mitchel S Berger; Manish K Aghi
Journal:  Neurosurg Focus       Date:  2018-06       Impact factor: 4.047

2.  Community economic factors influence outcomes for patients with primary malignant glioma.

Authors:  Aaron Bower; Fang-Chi Hsu; Kathryn E Weaver; Caleb Yelton; Rebecca Merrill; Robert Wicks; Mike Soike; Angelica Hutchinson; Emory McTyre; Adrian Laxton; Stephen Tatter; Christina Cramer; Michael Chan; Glenn Lesser; Roy E Strowd
Journal:  Neurooncol Pract       Date:  2020-03-24
  2 in total

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