This study assesses the feasibility and acceptability of a brief electronic patient-reported outcome (ePRO) tool that allows patients to self-identify impending delays. The risk of treatment delays according to tumor type and race will be measured by both ePRO and electronic health record (EHR) tools. Data from this study and the association of social determinants of health could be useful to flag patients at risk of delay and due timely intervention for modifiable treatment barriers. The prediction of the risk of treatment delay will be helpful to design another study using electronic tracking systems to prevent cancer treatment delays. The long-term goal of this research is to alert care teams when patients may be at risk of treatment days and to help patients get treatment faster. It was planned to enroll a total of 240 subjects with newly diagnosed cancer. Sixty colorectal and 180 breast cancer patients will be included.
Age range
18 Years
Sex
ALL
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Feasibility of Electronic patient-reported outcome (ePRO)
Timeframe: Baseline to 56 days post-enrollment
Electronic patient-reported outcome (ePRO) confirming treatment initiation
Timeframe: Baseline to 56 days post-enrollment