Evaluating an Educational Website for Colorectal Cancer Survivors
This study is testing an educational website called Current Together After Cancer (CTAC) to see if it helps people who have had surgery for Stage II or Stage III colorectal cancer get the recommended follow-up care. Many survivors don't receive this important care, which helps find if cancer returns. The CTAC website aims to give you and a supporter in your life more knowledge and confidence about managing your follow-up care. You would either get access to the CTAC intervention website with educational content or a control website with general health information. Researchers will then see if those using the CTAC intervention website receive more guideline-recommended surveillance care. This study is looking for about 1057 participants.
- Study design
- This interventional study will involve about 1057 participants. You would be randomly assigned to receive access to either the CTAC intervention website or a control website.
- What's involved
- You would access an educational website. There will also be interviews and questionnaires to complete, likely at 3 and 16 months after joining the study.
- Compensation
- Not stated in the trial record.
- Follow-up
- Your colorectal cancer surveillance will be measured at 16 months after joining the study. Your knowledge and self-efficacy will be assessed at 3 and 16 months.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Evaluating Whether an Educational Website Called Current Together After Cancer (CTAC) Improves Follow-up Care for Colorectal Cancer Survivors
At a glance
Conditions
Where it's being run
384 sites across 36 statesStudy leadership
- Christine M Veenstra · PRINCIPAL_INVESTIGATOR · SWOG Cancer Research Network
Who to contact
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Do you actually qualify for this trial?
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Inclusion
What this trial measures
- Receipt of colorectal cancer surveillanceAt 16 months
Receipt of the four surveillance components will be abstracted as a binary outcome (yes versus no) from the electronic medical record for every enrolled patient. Additionally, patient-reported receipt of surveillance will be collected via survey. Multivariable logistic regression will be used, adjusted for the stratification factors as covariates.