Comprehensive Cancer Center of Wake Forest University
Winston-Salem, North Carolina, 27157, United States
NCT Number: NCT02444754
This pilot research trial studies minority patients receiving care at the Comprehensive Cancer Center of Wake Forest University (CCCWFU) to see what their attitudes are regarding the healthcare they receive and how much they know about clinical trials. Clinical trials are an important way to test healthcare treatments and need diverse participants to be most effective. Studying what minority patients think about healthcare and clinical trials may help researchers learn more about why minorities are less likely to enroll in clinical trials and create programs to help increase their enrollment.
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Notify Me18 year and older
All sexes
Observational
Winston-Salem, North Carolina, 27157, United States
PRIMARY OBJECTIVES:
I. To describe perceived quality of care received in the CCCWFU adult oncology clinics by patients belonging to one of the racial/ethnic minority and underserved populations (Hispanic/Latino, Black/African American, rural, uninsured, or young adult).
II. To describe cancer-related health needs of racial/ethnic minority and underserved patients in the CCCWFU adult oncology clinics.
III. To describe attitudes towards, and knowledge regarding, clinical trials in racial/ethnic minority and underserved patients treated in the CCCWFU adult oncology clinics.
SECONDARY OBJECTIVES:
I. To compare levels of perceived quality of care, cancer-related health needs and attitudes towards and knowledge of clinical trials in racial/ethnic minority and underserved patients to a comparison group of non-minority/underserved patients treated in the CCCWFU adult oncology clinics.
II. To describe perceived quality of care received in the CCCWFU adult oncology clinics, cancer-related health needs, and attitudes towards, and knowledge regarding clinical trials by elderly patients.
OUTLINE:
Patients complete survey items across a number of domains (patient characteristics, access to health care, perceived quality of care, clinical trial knowledge and attitudes, and cancer related health needs). Patients also complete questionnaires to obtain demographics information including age, education, race and ethnicity, marital status, employment status, insurance coverage, and income, as well as health status/indicators. Cancer-related characteristics, including diagnosis, stage, time since diagnosis, and treatments received are obtained self-report and patients' medical records.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Obtain medical data
Other names: Chart Review
Complete demographics questionnaires
Complete surveys
Time frame: Baseline
Descriptive statistics will be used to summarize patient attitudes towards and knowledge of clinical trials for each underserved group and for the elderly using means and standard deviations for continuous variables and frequencies for categorical variables.
Time frame: Baseline
Descriptive statistics will be used to summarize cancer-related health needs for each underserved group means and standard deviations for continuous variables and frequencies for categorical variables.
Time frame: Baseline
Descriptive statistics will be used to summarize perceived quality of care for each underserved group using means and standard deviations for continuous variables and frequencies for categorical variables.
Time frame: Baseline
An ANOVA model will be used for continuous outcomes and a logistic model will be used for dichotomous outcomes with group (each underserved population or the comparison group) as the primary predictor to evaluate if the outcomes differ by group, utilizing contrasts to compare the underserved groups to each other, and the underserved groups as a whole to the comparison group. An overall alpha level of 0.05 will be used to indicate statistical significance for the comparison of the underserved group to the comparison group.
Time frame: Baseline
Descriptive statistics will be used to summarize attitudes towards and knowledge regarding clinical trials for the elderly using means and standard deviations for continuous variables and frequencies for categorical variables.
Time frame: Baseline
Descriptive statistics will be used to summarize cancer-related health needs for the elderly using means and standard deviations for continuous variables and frequencies for categorical variables.
Time frame: Baseline
An ANOVA model will be used for continuous outcomes and a logistic model will be used for dichotomous outcomes with group (each underserved population or the comparison group) as the primary predictor to evaluate if the outcomes differ by group, utilizing contrasts to compare the underserved groups to each other, and the underserved groups as a whole to the comparison group. An overall alpha level of 0.05 will be used to indicate statistical significance for the comparison of the underserved group to the comparison group.
Time frame: Baseline
An analysis of variance (ANOVA) model will be used for continuous outcomes and a logistic model will be used for dichotomous outcomes with group (each underserved population or the comparison group) as the primary predictor to evaluate if the outcomes differ by group, utilizing contrasts to compare the underserved groups to each other, and the underserved groups as a whole to the comparison group. An overall alpha level of 0.05 will be used to indicate statistical significance for the comparison of the underserved group to the comparison group.
Time frame: Baseline
Descriptive statistics will be used to summarize perceived quality of care for the elderly using means and standard deviations for continuous variables and frequencies for categorical variables.
Wake Forest University Health Sciences
Other
Patient Experience Protocol (PEP): A Pilot Study of Underserved Populations at the Comprehensive Cancer Center of Wake Forest University (CCCWFU)
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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