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Cancer Medicine
Article . 2013 . Peer-reviewed
License: CC BY
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Cancer Medicine
Article
License: CC BY
Data sources: UnpayWall
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Cancer Medicine
Article . 2014
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PubMed Central
Other literature type . 2013
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Cancer survival disparities by health insurance status

Authors: Niu, Xiaoling; Roche, Lisa M; Pawlish, Karen S; Henry, Kevin A;

Cancer survival disparities by health insurance status

Abstract

AbstractPrevious studies found that uninsured and Medicaid insured cancer patients have poorer outcomes than cancer patients with private insurance. We examined the association between health insurance status and survival of New Jersey patients 18–64 diagnosed with seven common cancers during 1999–2004. Hazard ratios (HRs) with 95% confidence intervals for 5‐year cause‐specific survival were calculated from Cox proportional hazards regression models; health insurance status was the primary predictor with adjustment for other significant factors in univariate chi‐square or Kaplan–Meier survival log‐rank tests. Two diagnosis periods by health insurance status were compared using Kaplan–Meier survival log‐rank tests. For breast, colorectal, lung, non‐Hodgkin lymphoma (NHL), and prostate cancer, uninsured and Medicaid insured patients had significantly higher risks of death than privately insured patients. For bladder cancer, uninsured patients had a significantly higher risk of death than privately insured patients. Survival improved between the two diagnosis periods for privately insured patients with breast, colorectal, or lung cancer and NHL, for Medicaid insured patients with NHL, and not at all for uninsured patients. Survival from cancer appears to be related to a complex set of demographic and clinical factors of which insurance status is a part. While ensuring that everyone has adequate health insurance is an important step, additional measures must be taken to address cancer survival disparities.

Related Organizations
Keywords

Adult, Male, Insurance, Health, Adolescent, New Jersey, Health Status Disparities, Kaplan-Meier Estimate, Middle Aged, Survival Analysis, Insurance Coverage, Young Adult, Neoplasms, Humans, Female, Cancer Prevention, Proportional Hazards Models

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    218
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
218
Top 1%
Top 1%
Top 10%
Green
gold
Related to Research communities
Cancer Research