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Introduction: Treatment options for women diagnosed with DCIS require careful consideration of the potential risks and benefits. An interactive decision support tool (DST) was developed to provide information about these options, including their potential long-term risk. The DST was implemented through the website www.dcisoptions.org in collaboration with the AFT-25 Comparing an Operation to Monitoring, with or without Endocrine Therapy (COMET), for low-risk DCIS study. Methods: The DST provides personalized prediction of the potential clinical impact of six different treatment options over a 10-year period. Women were asked to select one or more option, and to complete two surveys - one prior to interacting with the DST and one following interaction. Chi-square tests were used to compare the distribution of age group and DCIS grade among women who completed both surveys and those who completed the pre-tool survey only. Mean age was compared using the t-test and median age was compared using the Wilcoxon-Mann-Whitney test. The signed-rank test was used to compare the median age. The cohort that answered both surveys was analyzed for potential differences in response (pre- versus post-tool). The McNemar test was used to compare percentage distributions and the paired t-test was used to compare mean responses for questions using the Likert scale. A signed rank test was used to compare median changes from pre- to post-tool. Statistical significance was defined as P Citation Format: Thomas Lynch, Ann Partridge, E. Shelley Hwang, Alastair Thompson, Elizabeth Frank, Donna Pinto, Deborah Collyar, Desiree Basila, Terry Hyslop, Marc Ryser, Anna Weiss, Anna Rapperport, Rinaa Punglia, Elissa Ozanne. Effectiveness of an online decision support tool in communicating information about treatment options and related risks for ductal carcinoma in situ (DCIS) [abstract]. In: Proceedings of the AACR Special Conference on Rethinking DCIS: An Opportunity for Prevention?; 2022 Sep 8-11; Philadelphia, PA. Philadelphia (PA): AACR; Can Prev Res 2022;15(12 Suppl_1): Abstract nr A011. |
