Acceptance of Referral for Cancer Risk Counseling in Clinical Populations: Variables Predicting Follow-Up at a Cancer Genetics Program

Abstract

This study was designed to demonstrated the utility of brief quantitative risk assessment in a breast biopsy clinic setting as a method of referral to cancer risk counseling. We are examining factors that influence the decision to undergo cancer risk counseling after the referral is made. Computerized risk assessment was performed on 120 women undergoing breast biopsy. Questionnaires measuring knowledge and attitudes about breast cancer, cancer risk counseling, and genetic testing were completed, and psychological assessments were done. Fifty-three percent had risk levels warranting referral and were followed to assess referral uptake. Although only one woman followed through with a referral appointment, 46% stated that they would definitely consider genetic counseling in the future. Primary reasons cited for declining referral were receipt of sufficient risk information from the brief risk assessment (40%) or from their doctors (49%), perceived "low risk" (40%), and no family history of breast cancer (31%). Objective risk, as calculated by statistical models may not be a sufficient motivation for seeking cancer risk counseling at a genetic-based program. Subjects cited a precipitating event such as a cancer diagnosis as a primary motivating factor, therefore the study has been modified and is continuing in a diagnosed treatment population.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2000
Accession Number
ADB261795

Entities

People

  • Suzanne O'neill

Organizations

  • University of Pittsburgh

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Biomedical Research
  • Breast Cancer
  • Contractors
  • Data Analysis
  • Genetic Testing
  • Genetics
  • Government Procurement
  • Governments
  • Institutional Review Board
  • Medical Genetics
  • Neoplasms
  • Oncology
  • Questionnaires
  • Radiation Oncology
  • Risk Analysis
  • Students

Readers

  • Medical or Health Care Field.
  • Systems Analysis and Design
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.

Technology Areas

  • Biotechnology