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Coughlin SS, Datta B, Williams LB, Bevel M, Cortes JE. Characteristics of Cancer Survivors Living in Poverty in the United States: Results From the 2020 Behavioral Risk Factor Surveillance System Survey. JCO Oncol Pract 2022; 18:e1831-e1838. [PMID: 36067453 DOI: 10.1200/op.22.00152] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
PURPOSE There has been increasing concern over the high cost of oncology care and its long-lasting impact on the well-being of cancer survivors. METHODS We examined characteristics of impoverished cancer survivors in the United States, including their physical and mental health, using data from the 2020 Behavioral Risk Factor Surveillance System. We used binomial logistic regressions for binary outcome variables, and negative binomial regressions for count variables, to estimate the odds ratios (ORs) and incident rate ratios (IRRs) of the physical, mental, and socioeconomic-related health factors for low-income cancer survivors versus higher-income survivors. We compared the ORs and IRRs for low-income cancer survivors with those of higher income cancer survivors. RESULTS There was a two-fold increased odds (adjusted OR, 2.33; 95% CI, 1.86 to 2.91) of having fair/poor health for low-income cancer survivors compared with higher-income cancer survivors. There was an almost two-fold increased odds (adjusted OR, 1.97; 95% CI, 1.50 to 2.59) of not being able to see a doctor among low-income cancer survivors, and a 42% lower odds (adjusted OR, 0.58; 95% CI, 0.39 to 0.86) of having health insurance coverage for low-income cancer survivors compared with higher-income survivors. Incidence rate ratios for physical (IRR, 1.52; 95% CI, 1.31 to 1.75) and mental (IRR, 1.53; 95% CI, 1.26 to 1.86) unhealthy days were significantly higher among low-income cancer survivors compared with nonpoor cancer survivors. CONCLUSION Strategies are available to ameliorate financial hardship at multiple levels. Implementation of these strategies is urgently needed.
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Affiliation(s)
- Steven S Coughlin
- Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA.,Institute of Public and Preventive Health, Augusta University, Augusta, GA
| | - Biplab Datta
- Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA.,Institute of Public and Preventive Health, Augusta University, Augusta, GA
| | - Lovoria B Williams
- Univesity of Kentucky College of Nursing, Lexington, KY.,Markey Cancer Center, University of Kentucky, Lexington, KY
| | - Malcolm Bevel
- Department of Medicine, Medical College of Georgia, Augusta University, Augusta, GA.,Georgia Cancer Center, Augusta, GA
| | - Jorge E Cortes
- Department of Medicine, Medical College of Georgia, Augusta University, Augusta, GA.,Georgia Cancer Center, Augusta, GA
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Akinyemiju T, Deveaux A, Wilson L, Gupta A, Joshi A, Bevel M, Omeogu C, Ohamadike O, Huang B, Pisu M, Liang M, McFatrich M, Daniell E, Fish LJ, Ward K, Schymura M, Berchuck A, Potosky AL. Ovarian Cancer Epidemiology, Healthcare Access and Disparities (ORCHiD): methodology for a population-based study of black, Hispanic and white patients with ovarian cancer. BMJ Open 2021; 11:e052808. [PMID: 34607872 PMCID: PMC8491419 DOI: 10.1136/bmjopen-2021-052808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 09/10/2021] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Less than 40% of patients with ovarian cancer (OC) in the USA receive stage-appropriate guideline-adherent surgery and chemotherapy. Black patients with cancer report greater depression, pain and fatigue than white patients. Lack of access to healthcare likely contributes to low treatment rates and racial differences in outcomes. The Ovarian Cancer Epidemiology, Healthcare Access and Disparities study aims to characterise healthcare access (HCA) across five specific dimensions-Availability, Affordability, Accessibility, Accommodation and Acceptability-among black, Hispanic and white patients with OC, evaluate the impact of HCA on quality of treatment, supportive care and survival, and explore biological mechanisms that may contribute to OC disparities. METHODS AND ANALYSIS We will use the Surveillance Epidemiology and Ends Results dataset linked with Medicare claims data from 9744 patients with OC ages 65 years and older. We will recruit 1641 patients with OC (413 black, 299 Hispanic and 929 white) from cancer registries in nine US states. We will examine HCA dimensions in relation to three main outcomes: (1) receipt of quality, guideline adherent initial treatment and supportive care, (2) quality of life based on patient-reported outcomes and (3) survival. We will obtain saliva and vaginal microbiome samples to examine prognostic biomarkers. We will use hierarchical regression models to estimate the impact of HCA dimensions across patient, neighbourhood, provider and hospital levels, with random effects to account for clustering. Multilevel structural equation models will estimate the total, direct and indirect effects of race on treatment mediated through HCA dimensions. ETHICS AND DISSEMINATION Result dissemination will occur through presentations at national meetings and in collaboration with collaborators, community partners and colleagues across othercancer centres. We will disclose findings to key stakeholders, including scientists, providers and community members. This study has been approved by the Duke Institutional Review Board (Pro00101872). Safety considerations include protection of patient privacy. All disseminated data will be deidentified and summarised.
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Affiliation(s)
- Tomi Akinyemiju
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA
- Duke University School of Medicine, Duke Cancer Institute, Durham, North Carolina, USA
| | - April Deveaux
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Lauren Wilson
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Anjali Gupta
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Ashwini Joshi
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Malcolm Bevel
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Chioma Omeogu
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Onyinye Ohamadike
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Bin Huang
- Department of Biostatistics and Kentucky Cancer Registry, University of Kentucky, Lexington, Kentucky, USA
| | - Maria Pisu
- Division of Preventive Medicine, The University of Alabama, Birmingham, Alabama, USA
| | - Margaret Liang
- Division of Preventive Medicine, The University of Alabama, Birmingham, Alabama, USA
- Division of Hematology and Supportive Care, University of Alabama, Birmingham, Alabama, USA
| | - Molly McFatrich
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Erin Daniell
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Laura Jane Fish
- Duke University School of Medicine, Duke Cancer Institute, Durham, North Carolina, USA
| | - Kevin Ward
- Georgia Cancer Registry, Emory University, Atlanta, Georgia, USA
| | - Maria Schymura
- New York State Cancer Registry, New York State Department of Health, Albany, New York, USA
| | - Andrew Berchuck
- Division of Gynecologic Oncology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Arnold L Potosky
- Georgetown University Medical Center, Washington, District of Columbia, USA
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Bevel M, Babatunde OA, Heiney SP, Brandt HM, Wirth MD, Hurley TG, Khan S, Johnson H, Wineglass CM, Warren TY, Murphy EA, Sercy E, Thomas AS, Hébert JR, Adams SA. Sistas Inspiring Sistas Through Activity and Support (SISTAS): Study Design and Demographics of Participants. Ethn Dis 2018; 28:75-84. [PMID: 29725191 DOI: 10.18865/ed.28.2.75] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Introduction Recruiting racial, ethnic, and other underserved minorities into conventional clinic-based and other trials is known to be challenging. The Sistas Inspiring Sistas Through Activity and Support (SISTAS) Program was a one-year randomized controlled trial (RCT) to promote physical activity and healthy eating among AA women in SC to reduce inflammatory biomarkers, which are linked to increased breast cancer (BrCa) risk and mortality. This study describes the development, recruitment, and implementation of the SISTAS clinical trial and provides baseline characteristics of the study participants. Methods SISTAS was developed using community-based participatory research (CBPR) approaches. At baseline, study participants completed assessments and underwent clinical measurements and blood draws to measure C-reactive protein (CRP) and interleukin-6 (IL-6). Participants randomized to the intervention received 12 weekly classes followed by nine monthly booster sessions. Post-intervention measurements were assessed at 12-week and 12-month follow-ups. Results We recruited a total of 337 women who tended to: be middle-aged (mean age 48.2 years); have some college education; be employed full-time; have Medicare as their primary insurance; be non-smokers; and perceive their personal health as good. On average, the women were pre-hypertensive at baseline (mean systolic blood pressure = 133.9 mm Hg; mean diastolic blood pressure = 84.0 mm Hg) and morbidly obese (mean BMI >40.0 kg/m2); the mean fat mass and fat-free mass among participants were 106.4 lb and 121.0 lb, respectively. Conclusion The SISTAS RCT addresses some of the gaps in the literature with respect to CBPR interventions targeting AA women, such as implementing diet and physical activity in CBPR-based studies to decrease BrCa risk.
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Affiliation(s)
- Malcolm Bevel
- Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina
| | - Oluwole A Babatunde
- Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina
| | - Sue P Heiney
- College of Nursing, University of South Carolina
| | - Heather M Brandt
- Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina.,Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina
| | - Michael D Wirth
- Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina.,Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina
| | - Thomas G Hurley
- Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina
| | - Samira Khan
- Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina
| | - Hiluv Johnson
- Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina
| | - Cassandra M Wineglass
- Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina
| | - Tatiana Y Warren
- Community Works, Bon Secours Baltimore Health Systems; Baltimore, Maryland
| | - E Angela Murphy
- Department of Pathology, Microbiology, and Immunology, School of Medicine, University of South Carolina
| | - Erica Sercy
- Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina
| | - Amanda S Thomas
- Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina
| | - James R Hébert
- Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina
| | - Swann Arp Adams
- Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina.,College of Nursing, University of South Carolina
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