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. Copyright 2000 Academic Press.
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. Copyright 2000 Academic Press.
Authors: Marylou Cárdenas-Turanzas; María Teresa Carrillo; Horacio Tovalín-Ahumada; Linda Elting Journal: Support Care Cancer Date: 2006-10-05 Impact factor: 3.603
Authors: Marylou Cárdenas-Turanzas; Richard M Grimes; Eduardo Bruera; Beth Quill; Guillermo Tortolero-Luna Journal: Support Care Cancer Date: 2005-04-21 Impact factor: 3.603
Authors: Jan M Eberth; Pratibha Prarelkar; Hoang Nguyen; Charlotte Sun; Jennifer Irvin-Vidrine; Linda S Elting Journal: Tex Public Health J Date: 2013-01
Authors: Lois M Ramondetta; Larissa A Meyer; Kathleen M Schmeler; Maria E Daheri; Jessica Gallegos; Michael Scheurer; Jane R Montealegre; Andrea Milbourne; Matthew L Anderson; Charlotte C Sun Journal: Gynecol Oncol Date: 2015-10-21 Impact factor: 5.482
Authors: Swann Arp Adams; Alexandria Fleming; Heather M Brandt; Deborah Hurley; Susan Bolick-Aldrich; Sharon M Bond; James R Hebert Journal: J S C Med Assoc Date: 2009-12
Authors: Mohammad A Tabatabai; Jean-Jacques Kengwoung-Keumo; Wayne M Eby; Sejong Bae; Juliette T Guemmegne; Upender Manne; Mona Fouad; Edward E Partridge; Karan P Singh Journal: PLoS One Date: 2014-09-16 Impact factor: 3.240