Clinical trial · Interventional
Utilizing MyChart to Assess the Effectiveness of Interventions for Vasomotor Symptoms: A Feasibility Study
Utilizing MyChart to Assess the Effectiveness of Interventions for Vasomotor Symptoms: A Feasibility Study (REaCT-Hot Flashes Pilot)
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Vasomotor symptoms (VMS) are a common consequence of systemic therapies for breast cancer. Breast cancer treatments can cause VMS in approximately 30% of postmenopausal women and 95% of premenopausal women with early stage breast cancer (EBC). There are many non-estrogen-based interventions available to manage VMS, including; lifestyle modifications, complementary and alternative medicine (CAM) therapies. However, a recent systematic review and meta-analysis of pharmacological and CAM interventions conducted by our team, found no single optimal treatment for VMS management in breast cancer patients. Given the complex patient, cancer and treatment variables influencing the experience of VMS, the numerous potentially effective VMS interventions available and the varying expectations for an effective intervention, the investigators believe Machine Learning (ML) is ideally suited to the analysis of this common and bothersome treatment related toxicity. The EPIC electronic medical record, and MyChart application has provided both clinicians and patients with increased tools for the documentation of health related outcomes. The investigators believe that the MyChart platform, and ML techniques can be utilized to collect, and analyze outcome data for breast cancer patients experiencing VMS.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Breast Cancer | Malignant Breast Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Standard of care treatments | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- OTHER
- label
- Standard of Care Intervention
- description
- Standard of care intervention - The intervention will consist of 4 classes of standard of care treatments, namely, lifestyle modifications, complementary and alternative medicine (CAM) therapies, prescription medications, or adjustment of anti-cancer therapy.
- interventionNames
- Other: Standard of care treatments
Primary outcomes (4)
- measure
- Patient Engagement (MyChart Accessibility and User Experience)
- timeFrame
- 3 Months
- description
- Patient engagement will be defined by 60% of patients approached agreeing to participate in the study.
- measure
- Physician Engagement (MyChart Accessibility and User Experience)
- timeFrame
- 3 Months
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Patients over the age of 18 who have histologically confirmed breast cancer, of any stage * Patients experiencing vasomotor symptoms * While the study is intended to evaluate the feasibility of the MyChart platform, patients without a MyChart account, who are interested in participating in the study, will have access to a paper or electronic email version. As participation in the MyChart program has benefits outside of this intended study, all patients without a MyChart account will be encouraged to sign up for the service Exclusion Criteria: * Those who are unable to complete questionnaires in English
References
Publications (4)
- BACKGROUNDCole KM, Clemons M, McGee S, Alzahrani M, Larocque G, MacDonald F, Liu M, Pond GR, Mosquera L, Vandermeer L, Hutton B, Piper A, Fernandes R, Emam KE. Using machine learning to predict individual patient toxicities from cancer treatments. Support Care Cancer. 2022 Sep;30(9):7397-7406. doi: 10.1007/s00520-022-07156-6. Epub 2022 May 25. PMID 35614153
- BACKGROUNDHutton B, Hersi M, Cheng W, Pratt M, Barbeau P, Mazzarello S, Ahmadzai N, Skidmore B, Morgan SC, Bordeleau L, Ginex PK, Sadeghirad B, Morgan RL, Cole KM, Clemons M. Comparing Interventions for Management of Hot Flashes in Patients With Breast and Prostate Cancer: A Systematic Review With Meta-Analyses. Oncol Nurs Forum. 2020 Jul 1;47(4):E86-E106. doi: 10.1188/20.ONF.E86-E106. PMID 32555553
- BACKGROUNDCole KM, Clemons M, Alzahrani M, Larocque G, MacDonald F, Vandermeer L, Hutton B, Piper A, Pond G, McGee S. Developing patient-centred strategies to optimize the management of vasomotor symptoms in breast cancer patients: a survey of health care providers. Breast Cancer Res Treat. 2021 Jul;188(2):343-350. doi: 10.1007/s10549-021-06186-8. Epub 2021 Jun 22. PMID 34159473
- RESULTCole KM, McGee S, Clemons M, Liu M, MacDonald F, Vandermeer L, Ng TL, Pond G, Emam KE. Development and application of a weighted change score to evaluate interventions for vasomotor symptoms in patients with breast cancer using regression trees: a cohort study. Breast Cancer Res Treat. 2024 Sep;207(2):313-321. doi: 10.1007/s10549-024-07360-4. Epub 2024 May 19. PMID 38763972