Literature DB >> 15569960

Health care disparities and cervical cancer.

Cathy J Bradley1, Charles W Given, Caralee Roberts.   

Abstract

OBJECTIVES: We compared cervical cancer incidence, stage at diagnosis, and survival in Medicaid-insured and non-Medicaid-insured populations.
METHODS: We stratified the sample by age and used ordered logistic regression to predict stage at diagnosis and used Cox proportional hazards regression to predict survival.
RESULTS: Medicaid insured nearly one quarter of women diagnosed with cervical cancer. The likelihood of late-stage disease was greatest for women who enrolled in Medicaid after diagnosis. Women younger than 65 years who enrolled in Medicaid after diagnosis were more likely to die from cervical cancer than were women who were not insured by Medicaid (hazard ratio=2.40, 95% confidence interval=1.49, 3.86).
CONCLUSIONS: Our study underscores the importance of cervical cancer screening programs targeted at low-income women.

Entities:  

Mesh:

Year:  2004        PMID: 15569960      PMCID: PMC1448598          DOI: 10.2105/ajph.94.12.2098

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  23 in total

1.  Receipt of preventive care among adults: insurance status and usual source of care.

Authors:  Jennifer E DeVoe; George E Fryer; Robert Phillips; Larry Green
Journal:  Am J Public Health       Date:  2003-05       Impact factor: 9.308

2.  The bursting state fiscal bubble and state Medicaid budgets.

Authors:  Donald J Boyd
Journal:  Health Aff (Millwood)       Date:  2003 Jan-Feb       Impact factor: 6.301

Review 3.  The excess burden of breast carcinoma in minority and medically underserved communities: application, research, and redressing institutional racism.

Authors:  S M Shinagawa
Journal:  Cancer       Date:  2000-03-01       Impact factor: 6.860

4.  Comparison of clinical outcome in black and white women treated with radiotherapy for cervical carcinoma.

Authors:  P W Grigsby; L Hall-Daniels; S Baker; C A Perez
Journal:  Gynecol Oncol       Date:  2000-12       Impact factor: 5.482

5.  Morbidity from cervical cancer: effects of cervical cytology and socioeconomic status.

Authors:  F E Lundin; W M Christopherson; W M Mendez; J E Parker
Journal:  J Natl Cancer Inst       Date:  1965-12       Impact factor: 13.506

6.  Benefits and costs of using HPV testing to screen for cervical cancer.

Authors:  Jeanne S Mandelblatt; William F Lawrence; Sharita Mizell Womack; Denise Jacobson; Bin Yi; Yi-ting Hwang; Karen Gold; James Barter; Keerti Shah
Journal:  JAMA       Date:  2002-05-08       Impact factor: 56.272

7.  Determinants of late stage diagnosis of breast and cervical cancer: the impact of age, race, social class, and hospital type.

Authors:  J Mandelblatt; H Andrews; J Kerner; A Zauber; W Burnett
Journal:  Am J Public Health       Date:  1991-05       Impact factor: 9.308

8.  Race, socioeconomic status, and breast cancer treatment and survival.

Authors:  Cathy J Bradley; Charles W Given; Caralee Roberts
Journal:  J Natl Cancer Inst       Date:  2002-04-03       Impact factor: 13.506

9.  Late stage cancers in a Medicaid-insured population.

Authors:  Cathy J Bradley; Charles W Given; Caralee Roberts
Journal:  Med Care       Date:  2003-06       Impact factor: 2.983

10.  Tailored messages for breast and cervical cancer screening of low-income and minority women using medical records data.

Authors:  Maria L Jibaja-Weiss; Robert J Volk; Paul Kingery; Quentin W Smith; J David Holcomb
Journal:  Patient Educ Couns       Date:  2003-06
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  18 in total

1.  Examining barriers to cervical cancer screening and treatment in Florida through a socio-ecological lens.

Authors:  Ellen Daley; Amina Alio; Erica H Anstey; Rasheeta Chandler; Karen Dyer; Hannah Helmy
Journal:  J Community Health       Date:  2011-02

2.  Regarding "Associations between socioeconomic status and cancer survival".

Authors:  Kevin M Gorey
Journal:  Ann Epidemiol       Date:  2006-08-01       Impact factor: 3.797

3.  An exploration of urban and rural differences in lung cancer survival among medicare beneficiaries.

Authors:  Lisa R Shugarman; Melony E S Sorbero; Haijun Tian; Arvind K Jain; J Scott Ashwood
Journal:  Am J Public Health       Date:  2007-10-30       Impact factor: 9.308

4.  Health literacy as a predictor of follow-up after an abnormal Pap smear: a prospective study.

Authors:  Stacy Tessler Lindau; Anirban Basu; Sara A Leitsch
Journal:  J Gen Intern Med       Date:  2006-08       Impact factor: 5.128

5.  Racial disparities in health outcomes after spinal cord injury: mediating effects of education and income.

Authors:  James S Krause; Lynne E Broderick; Lisa K Saladin; Joy Broyles
Journal:  J Spinal Cord Med       Date:  2006       Impact factor: 1.985

6.  Health Insurance Coverage Disruptions and Cancer Care and Outcomes: Systematic Review of Published Research.

Authors:  K Robin Yabroff; Katherine Reeder-Hayes; Jingxuan Zhao; Michael T Halpern; Ana Maria Lopez; Leon Bernal-Mizrachi; Anderson B Collier; Joan Neuner; Jonathan Phillips; William Blackstock; Manali Patel
Journal:  J Natl Cancer Inst       Date:  2020-07-01       Impact factor: 13.506

7.  Disparities in Adherence to National Comprehensive Cancer Network Treatment Guidelines and Survival for Stage IB-IIA Cervical Cancer in California.

Authors:  Krista S Pfaendler; Jenny Chang; Argyrios Ziogas; Robert E Bristow; Kristine R Penner
Journal:  Obstet Gynecol       Date:  2018-05       Impact factor: 7.661

8.  Racial differences in cervical cancer survival in the Detroit metropolitan area.

Authors:  Sujana Movva; Anne-Michelle Noone; Mousumi Banerjee; Divya A Patel; Kendra Schwartz; Cecilia L Yee; Michael S Simon
Journal:  Cancer       Date:  2008-03-15       Impact factor: 6.860

9.  Cervical cancer risk and screening among women seeking assistance with basic needs.

Authors:  Lindsay M Kuroki; L Stewart Massad; Candice Woolfolk; Tess Thompson; Amy McQueen; Matthew W Kreuter
Journal:  Am J Obstet Gynecol       Date:  2020-12-13       Impact factor: 8.661

10.  Awareness and acceptability of human papillomavirus vaccine: an application of the instrumental variables bivariate probit model.

Authors:  Young Kyung Do; Ker Yi Wong
Journal:  BMC Public Health       Date:  2012-01-13       Impact factor: 3.295

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