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. 2000 Oct;79(1):107-15.
doi: 10.1006/gyno.2000.5901.

Cervical cancer outcomes analysis: impact of age, race, and comorbid illness on hospitalizations for invasive carcinoma of the cervix

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Cervical cancer outcomes analysis: impact of age, race, and comorbid illness on hospitalizations for invasive carcinoma of the cervix

S E Brooks et al. Gynecol Oncol. 2000 Oct.

Abstract

Objective: The aim of this study was to evaluate the association of age, race, and comorbid illness with procedures and complications in hospitalized patients with invasive carcinoma of the cervix in a statewide population-based database over a 3-year period.

Methods: Hospitalizations were classified into homogeneous subgroups based on a diagnosis of invasive cervical cancer. Cancer-related complications and comorbid diseases were evaluated. chi(2) and t tests determined differences in means or proportions. Linear regression techniques were applied to build models for hospitalization charges and lengths of stay (LOS).

Results: There were 1009 admissions. The mean age was 49.5, with a median age of 46 (21-100, SD 15.4). Of the total, 606/1009 (60%) were white, 354/1009 (35%) were African-American (AA), and 5% were "other" races. AAs were more likely to have Medicaid or be uninsured (44% vs 23%, P = 0. 001) and were more likely to be admitted for an emergency (unadjusted odds ratio (OR) = 1.6; 1.2-2.2), to have a comorbid illness (P = 0.001), to be admitted for a cancer-related complication (P = 0.036), to be admitted for a transfusion (P = 0. 01), and to be admitted for radiation therapy rather than surgery (P = 0.001). The following were associated with LOS and higher hospital costs: emergency admissions for complications of cancer, comorbid illness, and older age.

Conclusions: Racial differences exist in patterns of admission, type of therapy, and severity of illness; however, there were no differences in charges or LOS for similar procedures. The large percentage of African-Americans uninsured or insured by government-supported programs indicates the potential impact of public policy on the care of these patients. Socioeconomic status rather than phenotypic appearance may be a more important determinant of outcome.

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