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Impact of Medicaid Expansion Status and Race on Metastatic Disease at Diagnosis in Patients with Melanoma

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Abstract

Background

Black patients are diagnosed with melanoma at a later stage, as compared with their white counterparts. It is unknown if Medicaid expansion might ameliorate this disparity.

Methods

Using data from the 2016 National Cancer Database, we conducted a retrospective cohort study. The primary objective was to evaluate whether being diagnosed with melanoma at a Medicaid Expansion State (MES) and black race are associated with a late diagnosis of melanoma.  Main exposure: Being diagnosed in a MES. Secondary exposure: Race. Main outcome: Odds of Stage IV vs Stages 0-III at diagnosis. Univariate, multivariate logistic regression, and propensity score analyses were conducted to evaluate the potential associations. Sub-group analysis was conducted according to age < 65 or ≥ 65 years.

Results

A total of 216,604 patients were included, 40–90 years of age, \(\overline{X}\) 64 years [SD 12.47]. In univariate analysis, patients diagnosed in MES were 15% less likely (95% CI, 0.81–0.88) to be diagnosed with Stage IV melanoma. Black race (vs white) had 3.04 increased odds (95% CI, 2.56–3.60) of late diagnosis. In multivariate analysis, adjusting for socio-economic confounders, patients < 65 years of age were 13% less likely (95% CI, 0.82–0.92) to be diagnosed with Stage IV melanoma. By propensity score analysis, the strength of the associations remained. Black race (vs white) was associated with higher odds (95% CI, 1.91–3.08) of being diagnosed with Stage IV disease. For black patients < 65 years, being diagnosed in a state without Medicaid expansion had 2.55 higher odds (95% CI, 1.93–3.38) of being diagnosed with Stage IV melanoma, which decreased to 2.11 odds (95% CI, 1.34–3.33) in MES. The interaction between race and MES was statistically significant (P = 0.008).

Conclusions

This study suggests that patients are less likely to be diagnosed with Stage IV melanoma in MES. This beneficial effect is more pronounced among Black minorities.

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Availability of Data and Material

2016 National Cancer Database (NCDB).

Code Availability

Stata IC/SE 16.

References

  1. American Cancer Society. Available at: https://www.cancer.org/cancer/melanoma-skin-cancer/about/key-statistics.html. Accessed March 10, 2021.

  2. Surveillance Epidemiology and End Results Program. Cancer Stat Facts. Available at: https://seer.cancer.gov/statfacts/html/melan.html. Accessed September 10, 2020.

  3. American Cancer Society. Cancer Facts and Figures 2020. American Cancer Society. Cancer Facts and Figures 2020 Web site. Available at: https://www.cancer.org/research/cancer-facts-statistics/all-cancer-facts-figures/cancer-facts-figures-2016.html. Accessed June 2, 2020.

  4. National Cancer Institute. Cancer stat facts: cancer disparities. National Cancer Institute. Available at: https://seer.cancer.gov/statfacts/html/disparities.html. Accessed July 8, 2020.

  5. Office of Minority Health. African Americans and Cancer. US Department of Health and Human Services. Available at: https://minorityhealth.hhs.gov/omh/browse.aspx?lvl=4&lvlid=16. Accessed July 7, 2020.

  6. Tripathi R, Archibald LK, Mazmudar RS, et al. Racial differences in time to treatment for melanoma. J Am Acad Dermatol. 2020;83(3):854–9.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Baranowski MLH, Yeung H, Chen SC, et al. Factors associated with time to surgery in melanoma: an analysis of the National Cancer Database. J Am Acad Dermatol. 2019;81(4):908–16.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Qian Y, Johannet P, Sawyers A, et al. The ongoing racial disparities in melanoma: an analysis of the Surveillance, Epidemiology, and End Results database (1975–2016). J Am Acad Dermatol. 2021;84(6):1585–93.

    Article  PubMed  Google Scholar 

  9. Boczar D, Restrepo DJ, Sisti A, et al. Analysis of Melanoma in African American Patients in the United States. Anticancer Res. 2019;39(11):6333–7.

    Article  PubMed  Google Scholar 

  10. Haque W, Verma V, Butler EB, Teh BS. Racial and socioeconomic disparities in the delivery of immunotherapy for metastatic melanoma in the United States. J Immunother. 2019;42(6):228–35.

    Article  PubMed  Google Scholar 

  11. Harvey VM, Patel H, Sandhu S, et al. Social determinants of racial and ethnic disparities in cutaneous melanoma outcomes. Cancer Control. 2014;21(4):343–9.

    Article  PubMed  Google Scholar 

  12. Sitenga JL, Aird G, Ahmed A, et al. Socioeconomic status and survival for patients with melanoma in the United States: an NCDB analysis. Int J Dermatol. 2018;57(10):1149–56.

    Article  PubMed  Google Scholar 

  13. Restrepo DJ, Huayllani MT, Boczar D, et al. Biopsy type disparities in patients with melanoma: who receives the standard of care? Anticancer Res. 2019;39(11):6359–63.

    Article  PubMed  Google Scholar 

  14. Mazurenko O, Balio CP, Agarwal R, et al. The effects of medicaid expansion under the ACA: a systematic review. Health Aff (Millwood). 2018;37(6):944–50.

    Article  Google Scholar 

  15. American College of Surgeons. National Cancer Database. Available at: https://www.facs.org/Quality-Programs/Cancer/NCDB. Accessed March 10, 2020.

  16. Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45(6):613–9.

    Article  CAS  PubMed  Google Scholar 

  17. Elze MC, Gregson J, Baber U, et al. Comparison of propensity score methods and covariate adjustment: evaluation in 4 cardiovascular studies. J Am Coll Cardiol. 2017;69(3):345–57.

    Article  PubMed  Google Scholar 

  18. Kamangar F. Effect modification in epidemiology and medicine. Arch Iran Med. 2012;15(9):575–82.

    PubMed  Google Scholar 

  19. Burton A, Altman DG. Missing covariate data within cancer prognostic studies: a review of current reporting and proposed guidelines. Br J Cancer. 2004;91(1):4–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. von Elm E, Altman DG, Egger M, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Int J Surg. 2014;12(12):1495–9.

    Article  Google Scholar 

  21. DeSantis CE, Miller KD, Dale W, et al. Cancer statistics for adults aged 85 years and older, 2019. CA Cancer J Clin. 2019;69(6):452–67.

    Article  PubMed  Google Scholar 

  22. Hopkins ZH, Moreno C, Carlisle R, Secrest AM. Melanoma prognosis in the United States: Identifying barriers for improved care. J Am Acad Dermatol. 2019;80(5):1256–62.

    Article  PubMed  Google Scholar 

  23. Rachidi S, Deng Z, Sullivan DY, Lipson EJ. Shorter survival and later stage at diagnosis among unmarried patients with cutaneous melanoma: a US national and tertiary care center study. J Am Acad Dermatol. 2020;83(4):1012–20.

    Article  PubMed  Google Scholar 

  24. National Research Council (US); Institute of Medicine (US); Woolf SH, Aron L, editors. U.S. Health in international perspective: shorter lives, poorer health. Washington (DC): National Academies Press (US); 2013. Available from: https://www.ncbi.nlm.nih.gov/books/NBK115854/. Accessed September 2020.

  25. Sanchez DP, Maymone MBC, McLean EO, et al. Racial and ethnic disparities in melanoma awareness: a cross-sectional survey. J Am Acad Dermatol. 2020.

  26. Merrill RM, Pace ND, Elison AN. Cutaneous malignant melanoma among white Hispanics and non-Hispanics in the United States. Ethn Dis. 2010;20(4):353–8.

    PubMed  Google Scholar 

  27. Hu S, Sherman R, Arheart K, Kirsner RS. Predictors of neighborhood risk for late-stage melanoma: addressing disparities through spatial analysis and area-based measures. J Invest Dermatol. 2014;134(4):937–45.

    Article  CAS  PubMed  Google Scholar 

  28. Boczar D, Restrepo DJ, Sisti A, et al. Disparity on unplanned readmission in melanoma patients: a national cancer database analysis. Anticancer Res. 2019;39(12):6877–80.

    Article  PubMed  Google Scholar 

  29. Al-Qurayshi Z, Srivastav S, Wang A, et al. Disparities in the presentation and management of cutaneous melanoma that required admission. Oncology. 2018;95(2):69–80.

    Article  PubMed  Google Scholar 

  30. Abudu B, Cook KA, Gershenwald JE, et al. Quantitative associations between health insurance and stage of melanoma at diagnosis among nonelderly adults in the United States. Cancer. 2020;126(4):775–81.

    Article  PubMed  Google Scholar 

  31. Jain V, Venigalla S, Reddy VK, et al. Association of insurance status with presentation, treatment, and survival in melanoma in the era of immune checkpoint inhibitors. J Immunother. 2020;43(1):8–15.

    Article  CAS  PubMed  Google Scholar 

  32. Dick M, Aurit S, Silberstein P. The odds of stage IV melanoma diagnoses based on socioeconomic factors. J Cutan Med Surg. 2019;23(4):421–7.

    Article  PubMed  Google Scholar 

  33. Jemal A, Lin CC, Davidoff AJ, Han X. Changes in insurance coverage and stage at diagnosis among nonelderly patients with cancer after the affordable care act. J Clin Oncol. 2017;35(35):3906–15.

    Article  PubMed  Google Scholar 

  34. Moyers JT, Patel A, Shih W, Nagaraj G. Association of sociodemographic factors with immunotherapy receipt for metastatic melanoma in the US. JAMA Netw Open. 2020;3(9):e2015656.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Straker RJ 3rd, Song Y, Shannon AB, et al. Association of the Affordable Care Act’s Medicaid expansion with the diagnosis and treatment of clinically localized melanoma: a National Cancer Database study. J Am Acad Dermatol. 2021;84(6):1628–35.

    Article  PubMed  Google Scholar 

  36. Mavor ME, Richardson H, Miao Q, et al. Disparities in diagnosis of advanced melanoma: a population-based cohort study. CMAJ Open. 2018;6(4):E502-e512.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Guevara M, Rodríguez-Barranco M, Puigdemont M, et al. Disparities in the management of cutaneous malignant melanoma. A population-based high-resolution study. Eur J Cancer Care (Engl). 2019;28(4):e13043.

    Article  Google Scholar 

  38. Strömberg U, Peterson S, Holmberg E, et al. Cutaneous malignant melanoma show geographic and socioeconomic disparities in stage at diagnosis and excess mortality. Acta Oncol. 2016;55(8):993–1000.

    Article  PubMed  Google Scholar 

  39. Barbaric J, Sekerija M, Agius D, et al. Disparities in melanoma incidence and mortality in South-Eastern Europe: increasing incidence and divergent mortality patterns. Is progress around the corner? Eur J Cancer. 2016;55:47–55.

    Article  PubMed  Google Scholar 

  40. Masri A, Steinmetz L, Robinson III W. Impact of the Affordable Care Αct on cervical cancer trends in Νew Οrleans. Gynecol Oncol. 2020;159(2, E10).

  41. Pollitt RA, Clarke CA, Shema SJ, Swetter SM. California Medicaid enrollment and melanoma stage at diagnosis: a population-based study. Am J Prev Med. 2008;35(1):7–13.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Poulson MR, Beaulieu-Jones BR, Kenzik KM, et al. Residential racial segregation and disparities in breast cancer presentation, treatment, and survival. Ann Surg. 2021;273(1):3–9.

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors gratefully acknowledge Yvonne Mullowney and Billings Clinic Collaborative Science & Innovation for assistance in technical editing and proofreading the manuscript.

Funding

Dr. Lutzky reported funding from Bristol-Myers Squibb, Novartis, Iovance Biotherapeutics, Immunocore, Regeneron, Replimune, and Vyriad. Dr. Brant reported NIH funding provided through the Moonshot Initiative. No funding was received for conducting this study.

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Authors and Affiliations

Authors

Contributions

Jesus C. Fabregas and Jeannine M. Brant conceived and designed the study. Material preparation and data collection were performed by Jesus C. Fabregas and Jeannine M. Brant. Data analysis was conducted by Jesus C. Fabregas, Jeannine M. Brant, and Benjamin T. Carter. The first draft of the manuscript was written by Jesus C. Fabregas and Jeannine M. Brant, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Jeannine M. Brant.

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Ethics Approval

This data-only study was approved with waiver of consent by the Billings Clinic Institutional Review Board.

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Not applicable.

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Not applicable.

Conflict of Interest

Authors Jesus C. Fabregas, Benjamin T. Carter, and William Russell Robinson, III, have no financial interests to disclose. Jose Lutzky reported consulting or advisory roles for Castle Biosciences, Iovance Biotherapeutics, Replimune, and Regeneron. Jeannine M. Brant reported serving on the Speakers’ Bureau for Daiichi Sankyo/Astra Zeneca.

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Fabregas, J.C., Carter, B.T., Lutzky, J. et al. Impact of Medicaid Expansion Status and Race on Metastatic Disease at Diagnosis in Patients with Melanoma. J. Racial and Ethnic Health Disparities 9, 2291–2299 (2022). https://doi.org/10.1007/s40615-021-01166-6

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  • DOI: https://doi.org/10.1007/s40615-021-01166-6

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