Literature DB >> 21131794

The association of insurance and stage at diagnosis among patients aged 55 to 74 years in the national cancer database.

Elizabeth M Ward1, Stacey A Fedewa, Vilma Cokkinides, Katherine Virgo.   

Abstract

Prior studies have demonstrated that individuals without health insurance are less likely to have a usual source of health care and receive preventive services including cancer screening and are more likely to be diagnosed at late stages of cancer. To examine the potential impact of health care reform on stage at diagnosis, we analyzed the relationship between stage at diagnosis and insurance status for patients who were nearly elderly (55-64 years old) and younger elderly (65-74 years old). We examined patients diagnosed with 8 common cancers from January 1, 2005, to December 31, 2007, using data from the National Cancer Database, a hospital-based cancer registry jointly sponsored by the American Cancer Society and the American College of Surgeons, which includes approximately 70% of all malignant cancers in the United States treated at 1400 facilities throughout the United States. Cancer site-specific multivariable log binomial models were used to generate risk ratio (RR) and 95% confidence interval (CI) estimates for advanced stage of disease at diagnosis (stage III or IV vs stage I) by insurance category, controlling for age, race/ethnicity, and area level education. The final analytic cohort contained 843,177 patients. For each cancer site, uninsured and Medicaid-insured patients had the highest proportion of American Joint Committee on Cancer stages III and IV cancers at diagnosis, and those with private insurance and Medicare plus supplemental insurance the lowest. Risk ratios (95% CI) for uninsured patients compared with privately insured patients were 1.75 (1.64-1.86) for prostate, 1.12 (1.11-1.14) for lung/bronchus, 2.08 (1.98-2.17) for breast, 1.25 (1.22-1.27) for colorectal, 1.51 (1.40-1.64) for uterine corpus, 1.91 (1.73-2.12) for urinary bladder, 1.80 (1.62-2.01) for melanoma, and 1.37 (1.24-1.51) for thyroid cancers. Lower RRs (95% CI) observed for patients with Medicare coverage alone were 1.23 (1.17-1.29) for prostate, 1.05 (1.03-1.06) for lung/bronchus, 1.41 (1.33-1.48) for breast, 1.08 (1.05-1.10) for colorectal, 1.20 (1.11-1.31) for uterine corpus, 1.54 (1.40-1.70) for urinary bladder, 1.13 (1.01-1.26) for melanoma, and 1.10 (1.01-1.21) for thyroid. In contrast, there was no significant difference between RRs of late-stage diagnosis for any cancer site for patients insured by Medicare Advantage programs. If health care reform extends coverage to a large proportion of adults who are currently uninsured and provides benefits equal to or better than Medicare coverage, the proportion of patients diagnosed with late-stage cancer is likely to decrease, particularly in subpopulations with low rates of coverage.

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Year:  2010        PMID: 21131794     DOI: 10.1097/PPO.0b013e3181ff2aec

Source DB:  PubMed          Journal:  Cancer J        ISSN: 1528-9117            Impact factor:   3.360


  52 in total

1.  Racial and Socioeconomic Disparities in Bladder Cancer Survival: Analysis of the California Cancer Registry.

Authors:  John M Sung; Jeremy W Martin; Francis A Jefferson; Daniel A Sidhom; Keyhan Piranviseh; Melissa Huang; Nobel Nguyen; Jenny Chang; Argyrios Ziogas; Hoda Anton-Culver; Ramy F Youssef
Journal:  Clin Genitourin Cancer       Date:  2019-05-31       Impact factor: 2.872

2.  The influence of dermatologist and primary care physician visits on melanoma outcomes among Medicare beneficiaries.

Authors:  Richard G Roetzheim; Ji-Hyun Lee; Jeanne M Ferrante; Eduardo C Gonzalez; Ren Chen; Kate J Fisher; Kymia Love-Jackson; Ellen P McCarthy
Journal:  J Am Board Fam Med       Date:  2013 Nov-Dec       Impact factor: 2.657

3.  Survival disparities by insurance type for patients aged 15-64 years with non-Hodgkin lymphoma.

Authors:  Dianne Pulte; Lina Jansen; Hermann Brenner
Journal:  Oncologist       Date:  2015-04-15

4.  The Impact of Healthcare Privatization on Access to Surgical Care: Cholecystectomy as a Model.

Authors:  Ayman Al-Jazaeri; Firas Ghomraoui; Wejdan Al-Muhanna; Ahmed Saleem; Hazem Jokhadar; Tareq Aljurf
Journal:  World J Surg       Date:  2017-02       Impact factor: 3.352

5.  Characteristics of colorectal cancer survival in an urban county hospital.

Authors:  Vincent K Lam; An-Ting T Lu; Natalia Kouzminova; Albert Y Lin
Journal:  J Gastrointest Cancer       Date:  2013-03

6.  Predictors of neighborhood risk for late-stage melanoma: addressing disparities through spatial analysis and area-based measures.

Authors:  Shasa Hu; Recinda Sherman; Kristopher Arheart; Robert S Kirsner
Journal:  J Invest Dermatol       Date:  2013-11-07       Impact factor: 8.551

Review 7.  Population and target considerations for triple-negative breast cancer clinical trials.

Authors:  Terry Hyslop; Yvonne Michael; Tiffany Avery; Hallgeir Rui
Journal:  Biomark Med       Date:  2013-02       Impact factor: 2.851

Review 8.  Review of Colorectal Studies Using the National Cancer Database.

Authors:  Katherine A Kelley; V Liana Tsikitis
Journal:  Clin Colon Rectal Surg       Date:  2019-01-08

9.  The effect of insurance status on outcomes after laparoscopic cholecystectomy.

Authors:  Samantha J Neureuther; Kamal Nagpal; Arieh Greenbaum; John M Cosgrove; Daniel T Farkas
Journal:  Surg Endosc       Date:  2012-12-18       Impact factor: 4.584

10.  Disparities in stage at diagnosis, treatment, and survival in nonelderly adult patients with cancer according to insurance status.

Authors:  Gary V Walker; Stephen R Grant; B Ashleigh Guadagnolo; Karen E Hoffman; Benjamin D Smith; Matthew Koshy; Pamela K Allen; Usama Mahmood
Journal:  J Clin Oncol       Date:  2014-08-04       Impact factor: 44.544

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