CARE Tool Study for Gynecologic, Prostate, Lung, and Colorectal Cancers
This study is testing a web-based tool called the CARE Tool. This tool gives you information about cancer care costs, health insurance, and resources to help with these costs. The study aims to help patients with gynecologic, prostate, lung, or colorectal cancer understand and manage the financial side of their treatment. You might be eligible if you are 18 years or older and have one of these cancer types. Researchers will measure how well the CARE Tool helps with your financial understanding and ability to talk about costs. The current status of this study is unclear.
- Study design
- This is a multi-site randomized trial, meaning participants will be assigned by chance to receive either the CARE Tool or standard financial education resources. The study plans to enroll 430 participants.
- What's involved
- Your participation will involve completing an initial survey and a follow-up survey, with a total estimated time of 3 months.
- Compensation
- Not stated in the trial record.
- Follow-up
- You will be followed for approximately 3 months after completing the initial survey.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
CARE Tool Study Aim 3
At a glance
Conditions
Where it's being run
3 sites across 2 statesStudy leadership
- Ashley Housten, OTD, MSCI, OTR/L · PRINCIPAL_INVESTIGATOR · Washington University School of Medicine
Who to contact
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Do you actually qualify for this trial?
Add a private profile and we'll compare every criterion below against your situation — and tell you which ones are met, uncertain, or excluding.
Inclusion
Exclusion
What this trial measures
- Patient's comprehensive score for financial toxicity (COST)Completion of initial survey to completion of follow up survey (total estimated time is 3 months)
COST will be calculated by the sum of 11-items according to the validated measure. The items are scored on a 5-point Likert scale as follows: 0-Not at all, 1-A little bit, 2-Somewhat, 3-Quite a bit, and 4-Very much. Total possible range is 0-44 and the lower the score indicates greater financial toxicity. Scores will be summarized using means and 95% confidence intervals. Changes between timepoints will be analyzed by a two-sample t-test.
- Patient's score of self-efficacy for communicating about care costs measured with the Decision Self-Efficacy ScaleCompletion of initial survey to completion of follow up survey (total estimated time is 3 months)
The measure of self-efficacy for communicating about care costs is adapted from the validated tool Decision Self-Efficacy Scale. The Decision Self-Efficacy Scale measures self-confidence or belief in one's abilities in decision making, including shared decision making. Three-items from the Decision Self-Efficacy Scale will be used to measure self-efficacy for communicating about care costs. The three items will be measured by a 3-point Likert scale as follows: 0-Not Confident, 2-A Little Confident, and 4-A lot confident. A higher score indicates greater self-efficacy in decision making. The total score will be calculated according to the validated measure. Scores will be summarized using means and 95% confidence intervals. Changes between timepoints will be analyzed by a two-sample t-test.
- Patient's health insurance literacy measure (HILM) scoreCompletion of initial survey to completion of follow up survey (total estimated time is 3 months)
HILM score is calculated from a 6-item questionnaire according to the validated measure. Each item is measured by a 4-point Likert scale as follows: 1-Not at all confident, 2-Slightly confident, 3-Moderately confident, and 4-Very confident. Total possible range is 0-100 where 0 represents the lowest possible health insurance literacy level (more difficulty navigating insurance) and 100 represents the highest (more confidence in choosing/using insurance). Scores will be summarized using means and 95% confidence intervals. Changes between timepoints will be analyzed by a two-sample t-test.