Literature DB >> 30842132

Disparities in Systemic Treatment Use in Advanced-stage Non-Small Cell Lung Cancer by Source of Health Insurance.

Frances B Maguire1,2, Cyllene R Morris3, Arti Parikh-Patel3, Rosemary D Cress4, Theresa H M Keegan5, Chin-Shang Li6, Patrick S Lin5, Kenneth W Kizer3,7,8.   

Abstract

BACKGROUND: Management of advanced-stage non-small cell lung cancer (NSCLC) has changed significantly over the past two decades with the development of numerous systemic treatments, including targeted therapies. However, a high proportion of advanced-stage patients are untreated. The role that health insurance plays in receipt of systemic treatments is unclear.
METHODS: Using California Cancer Registry data (2012-2014), we developed multivariable Poisson regression models to assess the independent effect of health insurance type on systemic treatment utilization among patients with stage IV NSCLC. Systemic treatment information was manually abstracted from treatment text fields.
RESULTS: A total of 17,310 patients were evaluated. Patients with Medicaid/other public insurance were significantly less likely to receive any systemic treatments [risk ratio (RR), 0.78; 95% confidence interval (CI), 0.75-0.82], bevacizumab combinations (RR, 0.57; 95% CI, 0.45-0.71), or tyrosine kinase inhibitors (RR, 0.70; 95% CI, 0.60-0.82) compared with the privately insured. Patients with Medicare or dual Medicare-Medicaid insurance were not significantly different from the privately insured in their likelihood of receiving systemic treatments.
CONCLUSIONS: Substantial disparities in the use of systemic treatments for stage IV NSCLC exist by source of health insurance in California. Patients with Medicaid/other public insurance were significantly less likely to receive systemic treatments compared with their privately insured counterparts. IMPACT: Source of health insurance influences care received. Further research is warranted to better understand barriers to treatment that patients with Medicaid face. ©2019 American Association for Cancer Research.

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Year:  2019        PMID: 30842132     DOI: 10.1158/1055-9965.EPI-18-0823

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  6 in total

1.  Disparities in guideline-concordant treatment for node-positive, non-small cell lung cancer following surgery.

Authors:  Norma E Farrow; Selena J An; Paul J Speicher; David H Harpole; Thomas A D'Amico; Jacob A Klapper; Matthew G Hartwig; Betty C Tong
Journal:  J Thorac Cardiovasc Surg       Date:  2019-11-13       Impact factor: 5.209

2.  Building Toward Antiracist Cancer Research and Practice: The Case of Precision Medicine.

Authors:  Jacob N Stein; Marjory Charlot; Samuel Cykert
Journal:  JCO Oncol Pract       Date:  2021-05

3.  Adopting Consensus Terms for Testing in Precision Medicine.

Authors:  Nikki A Martin; Joel E Tepper; Veda N Giri; Thomas E Stinchcombe; Heather H Cheng; Milind M Javle; Eric Q Konnick
Journal:  JCO Precis Oncol       Date:  2021-10-06

4.  Impact of Socioeconomic Factors on Overall Survival in SCLC.

Authors:  Logan Roof; Wei Wei; Katherine Tullio; Nathan A Pennell; James P Stevenson
Journal:  JTO Clin Res Rep       Date:  2022-06-18

Review 5.  Sociodemographic disparities in the management of advanced lung cancer: a narrative review.

Authors:  Jacob Newton Stein; M Patricia Rivera; Ashley Weiner; Narjust Duma; Louise Henderson; Gita Mody; Marjory Charlot
Journal:  J Thorac Dis       Date:  2021-06       Impact factor: 3.005

6.  Are there socio-economic inequalities in utilization of predictive biomarker tests and biological and precision therapies for cancer? A systematic review and meta-analysis.

Authors:  Ruth P Norris; Rosie Dew; Linda Sharp; Alastair Greystoke; Stephen Rice; Kristina Johnell; Adam Todd
Journal:  BMC Med       Date:  2020-10-23       Impact factor: 8.775

  6 in total

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