Feasibility of Breast Cancer Epidemiology on the Internet

Abstract

The revolution in information technology is demonstrated by the dramatic increase in use of the Intenet. Use of email and the World Wide Web (WWW) have become commonplace, potentially linking tens of millions of people worldwide. While the WWW has been embraced as a means for information dissemination, its use in an epidemiologic context is in its infancy. The survey capabilities of the WWW suggest the possibility of cost efficient data collection from large numbers of people. The Epidemiologic Cyberspace Cohort Study is examining the feasibility of enrolling and following participants for a cohort study of diet, other factors, and breast cancer and other chronic diseases. Feasibility will be determined by: the number and demographic profile of study participants; the stability and use of email addresses for follow-up; and validity of responses. Technical aspects of feasibility include assurance of confidentiality, design of user-friendly survey forms, use of incentives for participation, and methods for data capture and tracking of participants. ECCSite!, the website of the Epidemiologic Cyberspace Cohort Study, was launched on June 6, 1997 (URL: http://epihub.epi.umn.edu/-health_ survey/health_survey.htp). Through July 30, 580 participants had enrolled in the study. If feasibility of the WWW for collecting data and for short-term follow-up is demonstrated, this should provide a basis for conducting large, timely, and cost- efficient prospective cohort studies.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1997
Accession Number
ADA332473

Entities

People

  • Lawrence H. Kushi

Organizations

  • University of Minnesota

Tags

DTIC Thesaurus Topics

  • Body Weight
  • Breast Cancer
  • Computers
  • Cyberspace
  • Diseases And Disorders
  • Electronic Mail
  • Epidemiology
  • Health
  • Health Services
  • Information Systems
  • Internet
  • Medical Personnel
  • Public Health
  • Vegetables
  • Web Browsers
  • Websites
  • World Wide Web

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.

Technology Areas

  • Cyber