Impact of an online decision support tool for ductal carcinoma in situ (DCIS) using a pre-post design (AFT-25)

Abstract

Abstract Background The heterogeneous biology of ductal carcinoma in situ (DCIS), as well as the variable outcomes, in the setting of numerous treatment options have led to prognostic uncertainty. Consequently, making treatment decisions is challenging and necessitates involved communication between patient and provider about the risks and benefits. We developed and investigated an interactive decision support tool (DST) designed to improve communication of treatment options and related long-term risks for individuals diagnosed with DCIS. Findings The DST was developed for use by individuals aged > 40 years with DCIS and is based on a disease simulation model that integrates empirical data and clinical characteristics to predict patient-specific impacts of six DCIS treatment choices. Personalized risk predictions for each treatment option were communicated using icon arrays and percentages for each outcome. Users of the DST were asked before and after interacting with the DST about: (1) awareness of DCIS treatment options, (2) willingness to consider these options, (3) knowledge of risks associated with DCIS, and (4) helpfulness of the DST. Data were collected from January 2019 to April 2022. Users’ median estimated risk of dying from DCIS in 10 years decreased from 9% pre-tool to 3% post-tool (p < 0.0001). 76% (n = 101/132) found the tool helpful. Conclusions Information about DCIS treatment options and related risk predictions was effectively communicated, and a large majority participants found the DST to be helpful. Successfully informing patients about their treatment options and how their individual risks affect those options is a critical step in the decision-making process. Clinicaltrials.gov Identifier NCT02926911.

Keywords

• Ductal carcinoma in situ
• Breast cancer
• Decision making
• Decision support tool