About this trial
This study investigates the impact of COVID-19 pandemic on out-of-pocket costs, lost wages, and unemployment in patients with breast cancer undergoing breast surgery. Post-mastectomy reconstructive patients are at high risk for financial toxicity (adverse effects of escalating health care cost on well-being). The goal of this study is to collect information about financial costs patients may have as a result of surgical treatment for cancer with or without breast reconstruction and to learn if COVID-19 affects patient costs of breast reconstruction. This may help researchers demonstrate the financial consequences of undergoing breast surgery.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Have an indication for surgical treatment of invasive breast cancer or ductal breast carcinoma in situ (DCIS) or prophylaxis in the setting of genetic mutations or strong family history
English-speaking
Able to complete consent
Able to fill out computer survey material
Disqualifiers
Non-English-speaking
Those with recurrent or metastatic disease or concurrent primary cancers
Patients undergoing breast conservation therapy will also be excluded from the study
Trial population
Patients who are evaluated for breast reconstruction at MD Anderson Cancer Center (Texas Medical Center, Katy, League City, Memorial City, Sugar Land, The Woodlands) and, pending Institutional Review Board approval, domestic institutions in the MD Anderson Cancer Network
Trial design
Cohort
Prospective
Treatments tested in this trial
Questionnaire Administration
Other interventionComplete questionnaires
Treatment groups
Trial outcomes
Primary outcomes
Prevalence of financial toxicity
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.
Secondary outcomes
Correlation between economic disruption from coronavirus disease 2019 (COVID-19) and financial toxicity
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.
Relationship between financial toxicity and patient reported quality of life
Will be assessed using the Short Form-12 survey. 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.
Relationship between financial toxicity and patient reported satisfaction with breast reconstruction
Will be assessed using the Breast-Q survey. 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.
Sponsors and contacts
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M.D. Anderson Cancer Center
Lead sponsor
National Cancer Institute (NCI)
Collaborator