Determinants of Diagnostic Follow-Up After Inconclusive Screening Mammography

Abstract

Mammography detects cancer an average of 1.7 years before a woman or her clinician can manually detect it. It is estimated that up to 60% of the women who have an inconclusive mammogram do not return for further medical evaluation, which could possibly detect cancer at an early and possible more treatable stage. Thus, despite the fact that early detection of breast cancer may be life-saving for some women, thousands of women who may be at risk do not follow through to receive a diagnosis. A convenience sample of 202 women from two urban medical centers was invited to participate in the study. All of the women had been notified of their abnormal mammograms within the past two years and instructed to return for further evaluation; 81 women returned for diagnostic evaluation and 121 did not return. Telephone interviews are being conducted to provide a greater degree of anonymity and disclosure. A review of the data suggests that women who have not returned for diagnostic follow-up reported receiving less health information concerning their mammograms and appear to have moderate to high levels of cancer fatalism, mild levels of depression, and a lower perception of cancer risk. An outcome of this study is the design of a culturally sensitive protocol to increase adherence to diagnostic evaluation.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1999
Accession Number
ADA385888

Entities

People

  • Alexis Bakos

Organizations

  • Johns Hopkins University

Tags

DTIC Thesaurus Topics

  • African Americans
  • Biomedical Research
  • Breast Cancer
  • Cancer Screening
  • Cervical Cancers
  • Depression
  • Detection
  • Health Care
  • Health Services
  • Institutional Review Board
  • Mammography
  • Materials
  • Medical Personnel
  • Neoplasms
  • Oncology
  • Perception
  • Test And Evaluation

Fields of Study

  • Medicine

Readers

  • Gender and Food Studies
  • Mathematics or Statistics
  • Oncology and Biomarker-Based Cancer Detection.