Treatment Decision Making in Early-Stage Prostate Cancer: Evaluation of Computer-Based Patient Education and an Interactive Decision Aid

Abstract

This study aims to examine a method of patient education for men who are seeking treatment for management of localized prostate cancer. The primary goal is to evaluate a recently developed computer-based educational tool (CD-ROM) that is designed to provide treatment- related information and to assist men in making an informed treatment decision. Once they are diagnosed with localized cancer, men are accrued post-biopsy for a baseline interview, and are randomized to receive a CD-ROM with a decision aid, or a CD-ROM with information only. To date, we have accrued and randomized 88 patients and study participation rate is currently 74.5%. We have had 16 men decline participation, 4 men withdraw from the study post-randomization, 5 men who we were never able to reach, and 5 men who are considered "missed" as they had already made a concrete treatment decision by the time we contacted them. Two changes have been made to the study protocol since last year's review and both changes have been approved by the Georgetown IRB and were submitted to the DOD on August 11, 2003. We are now accruing men post-biopsy, whereas we had previously tried to accrue pre-biopsy and we also added a 12-month follow-up interview.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2004
Accession Number
ADA424654

Entities

People

  • Kathryn L. Taylor

Organizations

  • Georgetown University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Biomedical Research
  • Computer Programs
  • Computers
  • Department Of Defense
  • Diseases And Disorders
  • Education
  • Health Care
  • Health Services
  • Institutional Review Board
  • Medical Personnel
  • Neoplasms
  • Pain
  • Patient Education
  • Prostate
  • Prostate Cancer
  • Test And Evaluation
  • United States

Fields of Study

  • Medicine

Readers

  • Clinical Trial Research.
  • Oncology and Biomarker-Based Cancer Detection.
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