Association of Insurance Status and Age With Cervical Cancer Stage at Diagnosis: National Cancer Database, 2000-2007.
Objectives. We examined the relationship of age at diagnosis and insurance status with stage among cervical cancer patients aged 21 to 85 years. Methods. We selected data on women (n = 69 739) diagnosed with invasive cervical cancer between 2000 and 2007 from the National Cancer Database. We evaluat...
| Publicado en: | American Journal of Public Health Vol. 102; no. 9; pp. 1782 - 1791 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
American Public Health Association
Sep2012
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=108145540&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 108145540 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: Sep2012 vid: 102 iid: 9 pid: 44 pub: American Public Health Association artinfo: ui: 108145540 10.2105/AJPH.2011.300532 ppf: 1782 ppct: 9 formats: tig: atl: Association of Insurance Status and Age With Cervical Cancer Stage at Diagnosis: National Cancer Database, 2000-2007. aug: au: Fedewa, Stacey A. Cokkinides, Vilma Virgo, Katherine S. Bandi, Priti Saslow, Debbie Ward, Elizabeth M. su: United States Age distribution Health insurance Medicaid Medicare Patient compliance Socioeconomic factors History Cervix uteri tumors Early detection of cancer Confidence intervals Statistical correlation Reporting of diseases Research funding Tumor classification Multiple regression analysis Predictive validity Relative medical risk Statistical models Descriptive statistics Diagnosis sug: subj: Age distribution Health insurance Medicaid Medicare Patient compliance Socioeconomic factors History United States Direct group life, health and medical insurance carriers Direct individual life, health and medical insurance carriers Administration of Human Resource Programs (except Education, Public Health, and Veterans' Affairs Programs) Cervix uteri tumors Early detection of cancer Confidence intervals Statistical correlation Reporting of diseases Research funding Tumor classification Multiple regression analysis Predictive validity Relative medical risk Statistical models Descriptive statistics Diagnosis ab: Objectives. We examined the relationship of age at diagnosis and insurance status with stage among cervical cancer patients aged 21 to 85 years. Methods. We selected data on women (n = 69 739) diagnosed with invasive cervical cancer between 2000 and 2007 from the National Cancer Database. We evaluated the association between late stage (stage III/IV) and both insurance and age, with adjustment for race/ethnicity and other sociodemographic and clinical factors. We used multivariable log binomial models to estimate risk ratios (RRs) and 95% confidence intervals (CIs). Results. The proportion of late-stage disease increased with age: from 16.53% (21-34 years) to 42.44% (≥ 70 years). The adjusted relative risk of advanced-stage disease among women aged 50 years and older was 2.2 to 2.5 times that of patients aged 21 to 34years. Uninsured (RR = 1.44; 95% CI = 1.40, 1.49), Medicaid (RR = 1.37, 95% CI = 1.34, 1.41 ), younger Medicare (RR = 1.12, 95% CI = 1.06,1.19), and older Medicare (RR = 1.20, 95% CI = 1.15, 1.26) patients had a higher risk of late-stage disease than did privately insured patients. Conclusions. Screening should be encouraged for women at high risk for advanced-stage disease. pubtype: Academic Journal doctype: Journal Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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