A personalized, web-based breast cancer decision making application: A pre-post survey

Kirk D. Wyatt, Sarah M. Jenkins, Matthew F. Plevak, Marcia R. Venegas Pont, Sandhya Pruthi

Research output: Contribution to journalReview article

Abstract

Background: Every case of breast cancer is unique, and treatment must be personalized to incorporate a woman's values and preferences. We developed an individually-tailored mobile patient education application for women with breast cancer. Methods: Pre-post surveys were completed by 255 women who used the tool. Results: Patients thought the application included helpful information (N = 184, 72%) and was easy to navigate (N = 156, 61%). Most patients thought the amount of information in the tool was "about right" (N = 193, 87%). Decision making confidence increased by an average of 0.8 points (10-point scale) following a consultation and use of the tool (p < 0.001). Conclusions: Tailored mobile applications may optimize care by facilitating shared decision making and knowledge transfer, and they may also enhance the experience of patients as they navigate through their breast cancer journey.

Original languageEnglish (US)
Article number196
JournalBMC Medical Informatics and Decision Making
Volume19
Issue number1
DOIs
StatePublished - Oct 21 2019

Keywords

  • Breast cancer
  • Clinical decision-making
  • Mobile applications
  • Shared decision making

ASJC Scopus subject areas

  • Health Policy
  • Health Informatics

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