Literature DB >> 24980272

The association between insurance status and prostate cancer outcomes: implications for the Affordable Care Act.

B A Mahal1, A A Aizer2, D R Ziehr1, A S Hyatt3, C Lago-Hernandez1, Y-W Chen4, T K Choueiri5, J C Hu6, C J Sweeney5, C J Beard3, A V D'Amico3, N E Martin3, Q-D Trinh7, P L Nguyen3.   

Abstract

BACKGROUND: The Affordable Care Act (ACA) aims to expand health insurance coverage to over 30 million previously uninsured Americans. To help evaluate the potential impact of the ACA on prostate cancer care, we examined the associations between insurance coverage and prostate cancer outcomes among men <65 years old who are not yet eligible for Medicare.
METHODS: The Surveillance, Epidemiology and End Results Program was used to identify 85 203 men aged <65 years diagnosed with prostate cancer from 2007 to 2010. Multivariable logistic regression modeled the association between insurance status and stage at presentation. Among men with high-risk disease, the associations between insurance status and receipt of definitive therapy, prostate cancer-specific mortality (PCSM) and all-cause mortality were determined using multivariable logistic, Fine and Gray competing-risks and Cox regression models, respectively.
RESULTS: Uninsured patients were more likely to be non-white and come from regions of rural residence, lower median household income and lower education level (P<0.001 for all cases). Insured men were less likely to present with metastatic disease (adjusted odds ratio (AOR) 0.23; 95% confidence interval (CI) 0.20-0.27; P<0.001). Among men with high-risk disease, insured men were more likely to receive definitive treatment (AOR 2.29; 95% CI 1.81-2.89; P<0.001), and had decreased PCSM (adjusted hazard ratio 0.56; 95% CI 0.31-0.98; P=0.04) and all-cause mortality (adjusted hazard ratio 0.60; 0.39-0.91; P=0.01).
CONCLUSIONS: Insured men with prostate cancer are less likely to present with metastatic disease, more likely to be treated if they develop high-risk disease and are more likely to survive their cancer, suggesting that expanding health coverage under the ACA may significantly improve outcomes for men with prostate cancer who are not yet eligible for Medicare.

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Mesh:

Year:  2014        PMID: 24980272     DOI: 10.1038/pcan.2014.23

Source DB:  PubMed          Journal:  Prostate Cancer Prostatic Dis        ISSN: 1365-7852            Impact factor:   5.554


  17 in total

1.  The ACA and Cancer Screening and Diagnosis.

Authors:  Lindsay M Sabik; Georges Adunlin
Journal:  Cancer J       Date:  2017 May/Jun       Impact factor: 3.360

2.  Changes in Health Insurance Coverage Associated With the Affordable Care Act Among Adults With and Without a Cancer History: Population-based National Estimates.

Authors:  Amy J Davidoff; Gery P Guy; Xin Hu; Felisa Gonzales; Xuesong Han; Zhiyuan Zheng; Helen Parsons; Donatus U Ekwueme; Ahmedin Jemal
Journal:  Med Care       Date:  2018-03       Impact factor: 2.983

3.  Determinants of Clinic Absenteeism: A Novel Method of Examining Distance from Clinic and Transportation.

Authors:  Ryan W Dobbs; Neha R Malhotra; Brandon M Caldwell; Raymond Rojas; Daniel M Moreira; Michael R Abern
Journal:  J Community Health       Date:  2018-02

4.  Nonclinical Factors Associated with 30-Day Mortality after Lung Cancer Resection: An Analysis of 215,000 Patients Using the National Cancer Data Base.

Authors:  John N Melvan; Manu S Sancheti; Theresa Gillespie; Dana C Nickleach; Yuan Liu; Kristin Higgins; Suresh Ramalingam; Joseph Lipscomb; Felix G Fernandez
Journal:  J Am Coll Surg       Date:  2015-04-16       Impact factor: 6.113

5.  Oncology clinical trials and insurance coverage: An update in a tenuous insurance landscape.

Authors:  Samilia Obeng-Gyasi; Sheetal M Kircher; Kelsey P Lipking; Benjamin J Keele; Al B Benson; Lynne I Wagner; Ruth C Carlos
Journal:  Cancer       Date:  2019-06-28       Impact factor: 6.860

6.  The Influence of Ethnic Heterogeneity on Prostate Cancer Mortality After Radical Prostatectomy in Hispanic or Latino Men: A Population-based Analysis.

Authors:  Maria C Velasquez; Felix M Chinea; Deukwoo Kwon; Nachiketh Soodana Prakash; Marcelo P Barboza; Mark L Gonzalgo; Chad R Ritch; Alan Pollack; Dipen J Parekh; Sanoj Punnen
Journal:  Urology       Date:  2018-04-06       Impact factor: 2.649

7.  Incidence and prognosis of patients with brain metastases at diagnosis of systemic malignancy: a population-based study.

Authors:  Daniel N Cagney; Allison M Martin; Paul J Catalano; Amanda J Redig; Nancy U Lin; Eudocia Q Lee; Patrick Y Wen; Ian F Dunn; Wenya Linda Bi; Stephanie E Weiss; Daphne A Haas-Kogan; Brian M Alexander; Ayal A Aizer
Journal:  Neuro Oncol       Date:  2017-10-19       Impact factor: 12.300

8.  Impact of individual and neighborhood factors on disparities in prostate cancer survival.

Authors:  Mindy C DeRouen; Clayton W Schupp; Jocelyn Koo; Juan Yang; Andrew Hertz; Salma Shariff-Marco; Myles Cockburn; David O Nelson; Sue A Ingles; Esther M John; Scarlett L Gomez
Journal:  Cancer Epidemiol       Date:  2018-01-09       Impact factor: 2.890

9.  Trends in Cancer Survival by Health Insurance Status in California From 1997 to 2014.

Authors:  Libby Ellis; Alison J Canchola; David Spiegel; Uri Ladabaum; Robert Haile; Scarlett Lin Gomez
Journal:  JAMA Oncol       Date:  2018-03-01       Impact factor: 31.777

10.  Marital status independently predicts prostate cancer survival in men who underwent radical prostatectomy: An analysis of 95,846 individuals.

Authors:  Tian-Bao Huang; Guang-Chen Zhou; Chuan-Peng Dong; Li-Ping Wang; Yang Luan; Jing-Ting Ye; Xiao Gu; Xu-Dong Yao; Jun-Hua Zheng; Xue-Fei Ding
Journal:  Oncol Lett       Date:  2018-02-06       Impact factor: 2.967

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