COVID-19 Impact on Financial Costs for Breast Cancer Patients
This study is looking at how the COVID-19 pandemic has affected the money-related challenges, like out-of-pocket costs, lost wages, and unemployment, for women with breast cancer who are having breast surgery. Researchers want to understand if these financial burdens, known as financial toxicity (the negative effects of healthcare costs on well-being), are made worse by the pandemic. You would complete questionnaires to share information about your financial experiences related to your breast cancer treatment, including if you have breast reconstruction. The goal is to show the financial impact of breast surgery and how COVID-19 might play a role.
- Study design
- This is an observational study aiming to enroll 600 participants. It does not involve different treatment groups.
- What's involved
- You would complete up to four electronic questionnaires, each taking about 15 minutes, before surgery and then at 6, 12, and 24 months after surgery.
- Compensation
- Not stated in the trial record.
- Follow-up
- After completing the study questionnaires, patients will be followed for an additional year.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Impact of COVID-19 Pandemic on Out-of-Pocket Costs, Lost Wages, and Unemployment in Patients With Breast Cancer Undergoing Breast Surgery
At a glance
Conditions
Where it's being run
4 sites across 1 statesStudy leadership
- Carrie Chu, MD · PRINCIPAL_INVESTIGATOR · M.D. Anderson Cancer Center
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Prevalence of financial toxicityUp to 1 year after completion of study
Will be measured by the Comprehensive Score for financial Toxicity questionnaire. Summary statistics including mean, standard deviation, median, and range for continuous variables, and frequency count and percentage for categorical variables will be provided. Various subgroup analyses may occur. In these cases, continuous variables will be compared using the two-sample t-test and categorical variables will be compared using chi-squared test or Fisher's exact test. Multivariate regression analysis will be performed to account for confounding and to increase the robustness of any causal inference.