Financial insolvency as a risk factor for early mortality among patients with cancer

Journal of Clinical Oncology

Volumn 34, Issue 9, 2016, Pages 980-986

  Ramsey, Scott D ^a   Bansal, Aasthaa ^a,b   Fedorenko, Catherine R ^a   Blough, David K ^d   Overstreet, Karen A ^d   Shankaran, Veena ^c   Newcomb, Polly ^a  

^a Fred Hutchinson Cancer Research Center   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

^c UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

^d NONE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BREAST CANCER; CANCER MORTALITY; CANCER PATIENT; CANCER SURVIVAL; COLORECTAL CANCER; DISEASE SEVERITY; DISTRESS SYNDROME; FEMALE; FINANCIAL MANAGEMENT; HAZARD RATIO; HUMAN; INCOME; LUNG CANCER; LYMPHOMA; MAJOR CLINICAL STUDY; MALE; MELANOMA; NEOPLASM; POPULATION; PRIORITY JOURNAL; PROPENSITY SCORE; PROPORTIONAL HAZARDS MODEL; PROSTATE CANCER; RISK FACTOR; THYROID CANCER; UTERUS CANCER; CANCER REGISTRY; ECONOMICS; EPIDEMIOLOGY; ETIOLOGY; MENTAL STRESS; MIDDLE AGED; MORTALITY; NEOPLASMS; PSYCHOLOGY; STATISTICS AND NUMERICAL DATA; WASHINGTON;

BANKRUPTCY; FEMALE; HUMANS; MALE; MIDDLE AGED; NEOPLASMS; PROPORTIONAL HAZARDS MODELS; RISK FACTORS; SEER PROGRAM; STRESS, PSYCHOLOGICAL; WASHINGTON;

EID: 84962086893     PISSN: 0732183X     EISSN: 15277755     Source Type: Journal    
DOI: 10.1200/JCO.2015.64.6620     Document Type: Article

References (22)

1. Ramsey S, Blough D, Kirchhoff A, et al: Washington State cancer patients found to be at greater risk for bankruptcy than people without a cancer diagnosis. Health Aff (Millwood) 32: 1143-1152, 2013
2. Zafar SY, Peppercorn JM, Schrag D, et al: The financial toxicity of cancer treatment: A pilot study assessing out-of-pocket expenses and the insured cancer patient's experience. Oncologist 18: 381-390, 2013
3. Ubel PA, Abernethy AP, Zafar SY: Full disclosure: Out-of-pocket costs as side effects. N Engl J Med 369: 1484-1486, 2013
4. Rosenbaum PR, Rubin DB: Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. Am Stat 39: 33-38, 1985
5. Rosenbaum PR: Reducing bias in observational studies using subclassification on the propensity score. J Am Stat Assoc 79: 516-524, 1984
6. Austin PC: An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behav Res 46: 399-424, 2011
7. Wolkewitz M, Allignol A, Schumacher M, et al: Two pitfalls in survival analyses of time-dependent exposure: A case study in a cohort of Oscar nominees. Am Stat 64: 205-211, 2010
8. Lu B: Propensity score matching with time-dependent covariates. Biometrics 61: 721-728, 2005
9. Rosenbaum P: Observational Studies. New York, NY, Springer Science+Business Media, 2002 doi: 10.1007/978-1-4757-3692-2
10. Shankaran V, Jolly S, Blough D, et al: Risk factors for financial hardship in patients receiving adjuvant chemotherapy for colon cancer: A population-based exploratory analysis. J Clin Oncol 30: 1608-1614, 2012
11. Tucker-Seeley RD, Li Y, Subramanian SV, et al: Financial hardship and mortality among older adults using the 1996-2004 Health and Retirement Study. Ann Epidemiol 19: 850-857, 2009
12. Ahnquist J, Fredlund P, Wamala SP: Is cumulative exposure to economic hardships more hazardous to women's health than men's? A 16-year follow-up study of the Swedish Survey of Living Conditions. J Epidemiol Community Health 61: 331-336, 2007
13. Ferrie JE, Martikainen P, Shipley MJ, et al: Self-reported economic difficulties and coronary events in men: Evidence from the Whitehall II study. Int J Epidemiol 34: 640-648, 2005
14. Georgiades A, Janszky I, Blom M, et al: Financial strain predicts recurrent events among women with coronary artery disease. Int J Cardiol 135: 175-183, 2009
15. Lynch JW, Kaplan GA, Shema SJ: Cumulative impact of sustained economic hardship on physical, cognitive, psychological, and social functioning. N Engl J Med 337: 1889-1895, 1997
16. Rosengren A, Hawken S, Ounpuu S, et al: INTERHEART investigators: Association of psychosocial risk factors with risk of acute myocardial infarction in 11119 cases and 13648 controls from 52 countries (the INTERHEART study): Case-control study. Lancet 364: 953-962, 2004
17. Byers TE, Wolf HJ, Bauer KR, et al: Patterns of Care Study Group: The impact of socioeconomic status on survival after cancer in the United States: Findings from the National Program of Cancer Registries Patterns of Care Study. Cancer 113: 582-591, 2008
18. Ward E, Jemal A, Cokkinides V, et al: Cancer disparities by race/ethnicity and socioeconomic status. CA Cancer J Clin 54: 78-93, 2004
19. Pulte D, Redaniel MT, Brenner H, et al: Changes in survival by ethnicity of patients with cancer between 1992-1996 and 2002-2006: Is the discrepancy decreasing? Ann Oncol 23: 2428-2434, 2012
20. Dusetzina SB, Winn AN, Abel GA, et al: Cost sharing and adherence to tyrosine kinase inhibitors for patients with chronic myeloid leukemia. J Clin Oncol 32: 306-311, 2014
21. Hershman DL, Tsui J, Meyer J, et al: The change from brand-name to generic aromatase inhibitors and hormone therapy adherence for early-stage breast cancer. J Natl Cancer Inst 106(11), 2014
22. Kaisaeng N, Harpe SE, Carroll NV: Out-of-pocket costs and oral cancer medication discontinuation intheelderly. J Manag Care Spec Pharm 20: 669-675, 2014