Literature DB >> 27500561

Insurance status and disparities in disease presentation, treatment, and outcomes for men with germ cell tumors.

Sarah C Markt1, Carlos A Lago-Hernandez2, Rowan E Miller2, Brandon A Mahal2, Brandon Bernard2, Laurence Albiges2, Lindsay A Frazier3, Clair J Beard4, Alexi A Wright5, Christopher J Sweeney6.   

Abstract

BACKGROUND: People aged 26 to 34 years represent the greatest proportion of the uninsured, and they have the highest incidence of testicular cancers. The aim of this study was to investigate the association between insurance status and cancer outcomes in men diagnosed with germ cell tumors.
METHODS: The Surveillance, Epidemiology, and End Results database was used to identify 10,211 men diagnosed with germ cell gonadal neoplasms from 2007 to 2011. Associations between insurance status and characteristics at diagnosis and receipt of treatment were examined with log-binomial regression. The association between insurance status and mortality was assessed with Cox proportional hazards regression.
RESULTS: Uninsured patients had an increased risk of metastatic disease at diagnosis (relative risk [RR], 1.26; 95% confidence interval [CI], 1.15-1.38) in comparison with insured patients, as did Medicaid patients (RR, 1.62; 95% CI, 1.51-1.74). Among men with metastatic disease, uninsured and Medicaid patients were more likely to be diagnosed with intermediate/poor-risk disease (RR for uninsured patients, 1.22; 95% CI, 1.04-1.44; RR for Medicaid patients, 1.39; 95% CI, 1.23-1.57) and were less likely to undergo lymph node dissection (RR for uninsured patients, 0.74; 95% CI, 0.57-0.94; RR for Medicaid patients, 0.76; 95% CI, 0.63-0.92) in comparison with insured patients. Men without insurance were more likely to die of their disease (hazard ratio [HR], 1.88; 95% CI, 1.29-2.75) in comparison with insured men, as were those with Medicaid (HR, 1.51; 95% CI, 1.08-2.10).
CONCLUSIONS: Patients without insurance and patients with Medicaid have an increased risk of presenting with advanced disease and dying of the disease in comparison with those who have insurance. Future studies should examine whether implementation of the Patient Protection and Affordable Care Act reduces these disparities. Cancer 2016;122:3127-35.
© 2016 American Cancer Society. © 2016 American Cancer Society.

Entities:  

Keywords:  cancer; disparities; germ cell tumors; insurance; outcomes

Mesh:

Year:  2016        PMID: 27500561      PMCID: PMC5048492          DOI: 10.1002/cncr.30159

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  22 in total

1.  Changes in Self-reported Insurance Coverage, Access to Care, and Health Under the Affordable Care Act.

Authors:  Benjamin D Sommers; Munira Z Gunja; Kenneth Finegold; Thomas Musco
Journal:  JAMA       Date:  2015-07-28       Impact factor: 56.272

2.  American Society of Clinical Oncology policy statement on medicaid reform.

Authors:  Blase N Polite; Jennifer J Griggs; Beverly Moy; Christopher Lathan; Nefertiti C duPont; Gina Villani; Sandra L Wong; Michael T Halpern
Journal:  J Clin Oncol       Date:  2014-11-17       Impact factor: 44.544

3.  Changes in mortality after Massachusetts health care reform: a quasi-experimental study.

Authors:  Benjamin D Sommers; Sharon K Long; Katherine Baicker
Journal:  Ann Intern Med       Date:  2014-05-06       Impact factor: 25.391

4.  Management trends in stage I testicular seminoma: Impact of race, insurance status, and treatment facility.

Authors:  Phillip J Gray; Chun Chieh Lin; Helmneh Sineshaw; Jonathan J Paly; Ahmedin Jemal; Jason A Efstathiou
Journal:  Cancer       Date:  2014-10-24       Impact factor: 6.860

5.  The Affordable Care Act and Expanded Insurance Eligibility Among Nonelderly Adult Cancer Survivors.

Authors:  Amy J Davidoff; Steven C Hill; Didem Bernard; K Robin Yabroff
Journal:  J Natl Cancer Inst       Date:  2015-07-01       Impact factor: 13.506

6.  Insurance status and risk of cancer mortality among adolescents and young adults.

Authors:  Abby R Rosenberg; Leah Kroon; Lu Chen; Christopher I Li; Barbara Jones
Journal:  Cancer       Date:  2014-12-09       Impact factor: 6.860

7.  Insurance status and distant-stage disease at diagnosis among adolescent and young adult patients with cancer aged 15 to 39 years: National Cancer Data Base, 2004 through 2010.

Authors:  Anthony S Robbins; Catherine C Lerro; Ronald D Barr
Journal:  Cancer       Date:  2014-01-28       Impact factor: 6.860

8.  Cancer-specific outcomes among young adults without health insurance.

Authors:  Ayal A Aizer; Benjamin Falit; Mallika L Mendu; Ming-Hui Chen; Toni K Choueiri; Karen E Hoffman; Jim C Hu; Neil E Martin; Quoc-Dien Trinh; Brian M Alexander; Paul L Nguyen
Journal:  J Clin Oncol       Date:  2014-06-02       Impact factor: 44.544

9.  Completeness of hospital cancer case reporting from the SEER Program of the National Cancer Institute.

Authors:  C Zippin; D Lum; B F Hankey
Journal:  Cancer       Date:  1995-12-01       Impact factor: 6.860

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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  17 in total

1.  Incorporating non-biological factors into the TNM staging system for better prognostication and decision-making in testicular cancer.

Authors:  Yongqiang Huang; Haoyue Sheng; Junyu Zhang; Qi Liu; Dingwei Ye; Guohai Shi
Journal:  World J Urol       Date:  2018-12-15       Impact factor: 4.226

2.  Patterns-of-care disparities among uninsured versus insured patients with anorectal carcinoma referred for radiotherapy at an Urban Safety-Net Hospital.

Authors:  Michael Padgett; Shivam M Kharod; Catherine E Mercado; Christopher G Morris; Michael S Rutenberg; Romaine C Nichols
Journal:  J Gastrointest Oncol       Date:  2022-06

Review 3.  The ethics of uninsured participants accessing healthcare in biomedical research: A literature review.

Authors:  Hae Lin Cho; Marion Danis; Christine Grady
Journal:  Clin Trials       Date:  2018-08-02       Impact factor: 2.486

4.  The Association Between the Affordable Care Act and Insurance Status, Stage and Treatment in Patients with Testicular Cancer.

Authors:  Walter Hsiang; Xuesong Han; Ahmedin Jemal; Kevin A Nguyen; Brian Shuch; Henry Park; James B Yu; Cary P Gross; Amy J Davidoff; Michael S Leapman
Journal:  Urol Pract       Date:  2020-07-01

5.  Identifying Modifiable and Non-modifiable Risk Factors of Readmission and Short-Term Mortality in Chondrosarcoma: A National Cancer Database Study.

Authors:  Daniel R Evans; Alexander L Lazarides; Mark M Cullen; Jason A Somarelli; Dan G Blazer; Julia D Visguass; Brian E Brigman; William C Eward
Journal:  Ann Surg Oncol       Date:  2021-09-27       Impact factor: 5.344

6.  Is There an Association Between Insurance Status and Survival and Treatment of Primary Bone and Extremity Soft-tissue Sarcomas? A SEER Database Study.

Authors:  Anne A Smartt; Eugene S Jang; Wakenda K Tyler
Journal:  Clin Orthop Relat Res       Date:  2020-03       Impact factor: 4.755

7.  CORR Insights®: Is There an Association Between Insurance Status and Survival and Treatment of Primary Bone and Extremity Soft-tissue Sarcomas? A SEER Database Study.

Authors:  Mark T Scarborough
Journal:  Clin Orthop Relat Res       Date:  2020-03       Impact factor: 4.755

8.  Population-based differences in the outcome and presentation of lung cancer patients based upon racial, histologic, and economic factors in all lung patients and those with metastatic disease.

Authors:  John Michael Varlotto; Richard Voland; Kerrie McKie; John C Flickinger; Malcolm M DeCamp; Debra Maddox; Paul Rava; Thomas J Fitzgerald; Geoffrey Graeber; Negar Rassaei; Paulo Oliveira; Suhail Ali; Chandra Belani; Jonathan Glanzman; Heather A Wakelee; Manali Patel; Jennifer Baima; Jianying Zhang; William Walsh
Journal:  Cancer Med       Date:  2018-03-13       Impact factor: 4.452

9.  Survival among patients with glioma in the US Military Health System: A comparison with patients in the Surveillance, Epidemiology, and End Results program.

Authors:  Jie Lin; Julie A Bytnar; Brett J Theeler; Katherine A McGlynn; Craig D Shriver; Kangmin Zhu
Journal:  Cancer       Date:  2020-04-14       Impact factor: 6.921

10.  The Association between Emergency Department Super-Utilizer Status and Willingness to Participate in Research.

Authors:  Henry W Young; Emmett T Martin; Evan Kwiatkowski; J Adrian Tyndall; Linda B Cottler
Journal:  Emerg Med Int       Date:  2020-06-29       Impact factor: 1.112

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