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Berghuijs KMVT, Kaddas HK, Trujillo G, Rouhani G, Chevrier A, Ose J, Shibata D, Toriola AT, Figueiredo JC, Peoples AR, Li CI, Hardikar S, Siegel EM, Gigic B, Schneider M, Ulrich CM, Kirchhoff AC. Age-related differences in employment, insurance, and financial hardship among colorectal cancer patients: a report from the ColoCare Study. J Cancer Surviv 2024; 18:1075-1084. [PMID: 36949233 DOI: 10.1007/s11764-023-01362-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 03/10/2023] [Indexed: 03/24/2023]
Abstract
PURPOSE Employment and financial hardships are common issues for working-age colorectal cancer patients. We surveyed colorectal cancer survivors to investigate employment, insurance, and financial outcomes by age at diagnosis. METHODS Cross-sectional survey of six ColoCare Study sites regarding employment, insurance, and financial hardship outcomes. Eligible participants were 1 to 5 years from colorectal cancer diagnosis. Diagnosis age (18-49, 50-64, 65+ years) with outcomes of interest were compared using chi-square and t-tests. Multivariable logistic and Poisson regressions were fit to examine association of demographic factors with any material/psychological hardship (yes/no) and the count of hardships. RESULTS N = 202 participants completed the survey (age: 18-49 (n = 42, 20.8%), 50-64 (n = 79, 39.1%), 65+ (n = 81, 40.1%)). Most diagnosed age < 65 worked at diagnosis (18-49: 83%; 50-64: 64%; 65+ : 14%, p < 0.001) and continued working after diagnosis (18-49: 76%; 50-64: 59%; 65+ : 13%; p < 0.001). Participants age 18-49 reported cancer-related difficulties with mental (81.3%) and physical (89%) tasks at work more than those working in the older age groups (45%-61%). In regression models, among those reporting any hardship, the rates of material and psychological hardships were higher among those age 18-64 (Incidence Rate Ratios (IRR) range 1.5-2.3 vs. age 65+) and for those with < college (IRR range 1.3-1.6 vs. college +). CONCLUSIONS Younger colorectal cancer patients are more likely to work after a cancer diagnosis and during cancer treatment, but report higher levels of financial hardship than older patients. IMPLICATIONS FOR CANCER SURVIVORS Younger colorectal cancer patients may encounter financial hardship, thus may feel a need to work during and after treatment.
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Affiliation(s)
| | - Heydon K Kaddas
- Cancer Control and Population Sciences Research Program, Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Gillian Trujillo
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Gazelle Rouhani
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Amy Chevrier
- Cancer Control and Population Sciences Research Program, Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Jennifer Ose
- Cancer Control and Population Sciences Research Program, Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - David Shibata
- University of Tennessee Health Science Center, Memphis, TN, USA
| | - Adetunji T Toriola
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Jane C Figueiredo
- Cedars-Sinai Medical Center Samuel Oschin Comprehensive Cancer Institute, Los Angeles, CA, USA
| | - Anita R Peoples
- Cancer Control and Population Sciences Research Program, Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | | | - Sheetal Hardikar
- Cancer Control and Population Sciences Research Program, Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Erin M Siegel
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Biljana Gigic
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Martin Schneider
- Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
| | - Cornelia M Ulrich
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
- Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Anne C Kirchhoff
- Cancer Control and Population Sciences Research Program, Huntsman Cancer Institute, Salt Lake City, UT, USA
- Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
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Unger JM, Xiao H, Vaidya R, LeBlanc M, Hershman DL. Medicaid Expansion of the Patient Protection and Affordable Care Act and Participation of Patients With Medicaid in Cancer Clinical Trials. JAMA Oncol 2023; 9:1371-1379. [PMID: 37590003 PMCID: PMC10436183 DOI: 10.1001/jamaoncol.2023.2800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 05/12/2023] [Indexed: 08/18/2023]
Abstract
Importance The Patient Protection and Affordable Care Act (ACA) Medicaid expansion resulted in increased use of Medicaid insurance nationwide. However, the association between Medicaid expansion and access to clinical trials has not been examined to date. Objective To examine whether the implementation of ACA Medicaid expansion was associated with increased participation of patients with Medicaid insurance in cancer clinical trials. Design, Setting, and Participants Data for this cohort study of 51 751 patients were from the SWOG Cancer Research Network. All patients aged 18 to 64 years and enrolled in treatment trials with Medicaid or private insurance between April 1, 1992, and February 29, 2020, were included. Interrupted time-series analysis with segmented logistic regression was used. The monthly unemployment rate and presidential administration were adjusted to reflect potential differences in Medicaid use associated with economic conditions and national administrative policies, respectively. Data analysis was conducted between June 22, 2021, and August 5, 2022. Exposure Implementation of Medicaid expansion on January 1, 2014, was the independent exposure variable. Main Outcomes and Measures The number and proportion of patients by insurance type enrolled in cancer clinical trials over time were analyzed. Results Overall, data for 51 751 patients were analyzed. Mean (SD) age was 50.6 (9.8) years, 67.3% of patients were female, 41.1% were younger than 50 years, and 9.1% used Medicaid. A 19% annual increase (odds ratio [OR], 1.19; 95% CI, 1.11-1.28; P < .001) was identified in the odds of patients using Medicaid after the ACA Medicaid expansion, resulting in a 52% increase (OR, 1.52; 95% CI, 1.29-1.78; P < .001) compared with what was expected in the number of Medicaid patients enrolled over time. The association was greater in states that adopted Medicaid expansion in 2014 to 2015 (OR, 1.26; 95% CI, 1.15-1.38; P < .001) compared with other states (OR, 1.08; 95% CI, 0.96-1.21; P = .20; P = .04 for interaction). By February 2020, the proportion of patients with Medicaid insurance was 17.8% (95% CI, 15.0%-20.8%; P < .001), whereas the expected proportion had ACA Medicaid expansion not occurred was 6.9% (95% CI, 4.4%-10.3%; P < .001). Conclusions and Relevance Findings suggest that implementation of ACA Medicaid expansion was associated with increased participation of patients using Medicaid in cancer clinical trials. Improved participation in clinical trials for Medicaid-insured patients is critical for socioeconomically vulnerable patients seeking access to the newest treatments available in trials and for improving confidence that trial findings apply to patients of all backgrounds.
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Affiliation(s)
- Joseph M. Unger
- SWOG Statistics and Data Management Center, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Hong Xiao
- SWOG Statistics and Data Management Center, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Riha Vaidya
- SWOG Statistics and Data Management Center, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Michael LeBlanc
- SWOG Statistics and Data Management Center, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Dawn L. Hershman
- Columbia University Irving Medical Center, Columbia University, New York, New York
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Impact of the affordable care act dependent coverage provision on young adult cancer patient insurance coverage by sociodemographic and economic characteristics. Cancer Causes Control 2019; 31:33-42. [PMID: 31696421 DOI: 10.1007/s10552-019-01246-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Accepted: 10/18/2019] [Indexed: 10/25/2022]
Abstract
PURPOSE To evaluate the impact of the Affordable Care Act Dependent Care Provision by sociodemographic and economic characteristics in young adult cancer patients. METHODS The National Cancer Database (NCDB) and the Surveillance, Epidemiology, and End Results (SEER) 18 database were queried for young adult cancer cases diagnosed during 2007-2014. Using a difference-in-differences approach, we examined insurance coverage in different subgroups of policy-eligible 19-25 year-olds versus policy-ineligible 27-29 year-olds from the pre- (2007-2009) to post- (2011-2014) Dependent Care Provision period. RESULTS Across subgroups and study populations, insurance coverage increased significantly following the Provision enactment in the policy-eligible versus policy-ineligible group across most subgroups (range in NCDB: 1.83 to 6.38% for low and mid-low education areas, respectively; range in SEER: 1.43 to 6.18 for Non-Hispanic Others and Hispanics, respectively). Heterogenous impacts were observed by sex with a larger impact in males (NCDB: 5.14%, 95% CI 3.59-6.69; SEER: 4.46, 2.12-6.8) than females (NCDB: 2.51%, 95% CI 1.39-3.62; SEER: 2.50, 0.82-4.18). We observed no other statistical evidence for Dependent Care Provision subgroup heterogeneity except for a smaller impact in individuals from low education areas in NCDB. CONCLUSIONS Our results indicate a positive Dependent Care Provision impact on insurance coverage in young adults with cancer across subgroups, with evidence for a smaller impact in females relative to males and in low relative to high education areas.
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