National Hospital Discharge Survey Data Analysis of Breast Cancer Between African American and White Women

Abstract

The present study estimated age-specific hospital admission rates for breast cancer in African American (AA) and White women through analyzing National Hospital Discharge Survey (NHDS) data from 1988 to 1994. Weighted linear regression was used to analyze trends. Specific standard errors for rates analyzed in the regression were produced using the SUDAAN program. The statistical significance of the weighted least squares test for trends is based on the two-sided z-test with a critical value of 1.96 (alpha=0.05). Hospital admission rates of breast cancer cases decreased among white women (p<0.0004). The rates for AA women were cubically associated with the lowest rate in 1990 and an increase in 1993. The mean Length of stay' was linearly decreasing over study period for Whites (p<0.0093) but not for AA women (p<0.43). Mean number of diagnosis was significantly increasing over time among whites (p<0.005) while that of AA was not linearly associated (p<0.24). Mean number of procedures was not linearly increasing among whites (p<0.13) nor among AA (p<0.13).

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2000
Accession Number
ADA389733

Entities

People

  • Kyung S. Kim

Organizations

  • Howard University

Tags

DTIC Thesaurus Topics

  • African Americans
  • Age Groups
  • Biomedical Research
  • Breast Cancer
  • Data Analysis
  • Data Science
  • Economic Forecasting
  • Health Services
  • Hospitals
  • Intervals
  • Laboratory Animals
  • Materials
  • Neoplasms
  • Recombinant Dna
  • Standards
  • Surveys

Readers

  • Linear Algebra
  • Organizational Psychology.
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.