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1.
J Cancer Educ ; 37(2): 338-342, 2022 04.
Article in English | MEDLINE | ID: mdl-32651766

ABSTRACT

To address rural cancer disparities, the University of Wisconsin Carbone Cancer Center launched a rural cancer project through its Cancer Health Disparities Initiative (CHDI) in 2010. With support from the National Cancer Institute's (NCI) National Outreach Network, CHDI conducted an assessment of rural counties and partnered with Adams County to implement a collaborative cancer education project. Together CHDI and Adams County partners selected an evidence-based educational curriculum, Understanding Cancer, as a basis for local adaptation for use with rural Wisconsin communities. The new curriculum, titled Cancer Clear & Simple (CC&S), consists of three modules: (1) cancer basics, (2) cancer prevention, and (3) cancer screening. CC&S has also been culturally tailored for African American and Latino populations. The adaptation utilized community involvement throughout a multi-step process to ensure cultural appropriateness. The process included materials selection, translation, conceptual adaptation, visual adaptation, and validation with target audiences. All adaptations of the curriculum incorporate health literacy principles and is designed to build knowledge and improve health-related decision-making around lung, colorectal, skin, breast, cervical, and prostate cancer. Current efforts seek to (1) increase the evidence of CC&S's effectiveness through additional research, (2) expand its use by new audiences, and (3) adapt it into a web-based platform featuring a cancer prevention serious game.


Subject(s)
Health Education , Neoplasms , Black or African American , Curriculum , Humans , Male , Neoplasms/prevention & control , Rural Population , Wisconsin
2.
J Cancer Educ ; 35(5): 841-849, 2020 10.
Article in English | MEDLINE | ID: mdl-31713103

ABSTRACT

Disparities in cancer incidence and mortality rates among racial and ethnic minorities (African Americans, Asian Americans, Pacific Islanders, American Indians, and Latinos/Hispanic Americans) in the USA are well documented. Enrollment of underrepresented populations in cancer therapeutic clinical trials, however, is very low. This is true despite federal mandates to ensure accrual rates adequate for analyses and the evidence that the effectiveness of specific therapies and medications varies across ethnic and racial groups. Consequently, cancer clinical decision-making is based on research studies where the majority of research participants are white males, despite the disproportionate cancer burden in racial and ethnic minority groups. To date, there have been multiple reviews detailing the barriers to enrollment for these populations in cancer clinical trials, but a notable lack of research on possible strategies to overcome them. The aim of this narrative review is to summarize the current evidence for effective approaches to increase enrollment of underrepresented minorities in cancer therapeutic clinical trials. These approaches include (1) cultural and linguistic adaptations of marketing materials, (2) the use of patient navigators, and (3) building ongoing community partnerships. The majority of studies reviewed employ multiple improvement strategies simultaneously. Identifying effective approaches to increase enrollment of underrepresented populations in cancer clinical trials is a critical step in reducing persistent disparities in cancer incidence and mortality among racial and ethnic populations.


Subject(s)
Clinical Trials as Topic/methods , Ethnicity/statistics & numerical data , Minority Groups/statistics & numerical data , Neoplasms/therapy , Patient Selection , Humans
3.
Ann Surg Oncol ; 24(10): 3017-3023, 2017 Oct.
Article in English | MEDLINE | ID: mdl-28766209

ABSTRACT

BACKGROUND: Post-mastectomy reconstruction is a critical component of high-quality breast cancer care. Prior studies demonstrate socioeconomic disparity in receipt of reconstruction. Our objective was to evaluate trends in receipt of immediate reconstruction and examine socioeconomic factors associated with reconstruction in a contemporary cohort. METHODS: Using the National Cancer Database, we identified women <75 years of age with stage 0-1 breast cancer treated with mastectomy (n = 297,121). Trends in immediate reconstruction rates (2004-2013) for the overall cohort and stratified by socioeconomic factors were examined using Join-point regression analysis, and annual percentage change (APC) was calculated. We then restricted our sample to a contemporary cohort (2010-2013, n = 145,577). Multivariable logistic regression identified socioeconomic factors associated with immediate reconstruction. Average adjusted predicted probabilities of receiving reconstruction were calculated. RESULTS: Immediate reconstruction rates increased from 27 to 48%. Although absolute rates of reconstruction for each stratification group increased, similar APCs across strata led to persistent gaps in receipt of reconstruction. On multivariable logistic regression using our contemporary cohort, race, income, education, and insurance type were all strongly associated with immediate reconstruction. Patients with the lowest predicted probability of receiving reconstruction were patients with Medicaid who lived in areas with the lowest rates of high-school graduation (Black 42.4% [95% CI 40.5-44.3], White 45.7% [95% CI 43.9-47.4]). CONCLUSIONS: Although reconstruction rates have increased dramatically over the past decade, lower rates persist for disadvantaged patients. Understanding how socioeconomic factors influence receipt of reconstruction, and identifying modifiable factors, are critical next steps towards identifying interventions to reduce disparities in breast cancer surgical care.


Subject(s)
Breast Neoplasms/economics , Breast Neoplasms/surgery , Cancer Survivors/statistics & numerical data , Mammaplasty/economics , Mastectomy/economics , Socioeconomic Factors , Adult , Aged , Breast Neoplasms/pathology , Cohort Studies , Female , Follow-Up Studies , Healthcare Disparities , Humans , Middle Aged , Prognosis , Survival Rate
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