Development and Evaluation of Different Versions of the Decision Board for Early Breast Cancer

Abstract

Women with breast cancer have increasingly indicated a desire for more information about their disease and the need to be involved in making decisions about their care. We have developed two decision aids called Decision Boards (DB) to help clinicians inform patients about their treatment options. One DB involves the surgical decision between mastectomy and lumpectomy plus radiation (DECIDE-S); the other involves the decision between chemotherapy options for the treatment of node-negative and early node-positive breast cancer (DECIDE-C). The objectives of this study are to; i) develop computer based versions of both the DB for the surgical treatment of breast cancer and the DB for chemotherapy for node-negative and early node-positive breast cancer; and ii) to compare the relative effectiveness of the computer- based versions and paper versions with the standard versions of the DB for women with early breast cancer. In the fourth year, there were a number of key accomplishments. We extended the eligibility criteria to include node-positive patients in - the DECIDE-C trial; revised the DECIDE-C and DECIDE-S take-home versions; conducted an extensive revision of the DECIDE-C computer-based version; and revised the DECIDE-S computer-based version. We have accrued 25 patients to the DECIDE-C study and expect to start the DECIDE-S study on November 15, 2002.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2002
Accession Number
ADA411309

Entities

People

  • Timothy J. Whelan

Organizations

  • McMaster University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Biomedical Research
  • Breast Cancer
  • Clinical Trials
  • Computers
  • Diseases And Disorders
  • Health Services
  • Lymph Nodes
  • Medical Personnel
  • Neoplasms
  • Oncology
  • Physicians
  • Side Effects
  • Surgery
  • Test And Evaluation
  • Therapy

Fields of Study

  • Medicine

Readers

  • Molecular Biology and Genetics
  • Oncology and Biomarker-Based Cancer Detection.
  • Software Engineering.