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Influence of Race, Insurance, Rurality, and Socioeconomic Status on Equity of Lung and Colorectal Cancer Care

  • Thoracic Oncology
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Abstract

Background

This study evaluated the influence that social determinants of health had on stage at diagnosis and receipt of cancer-directed surgery for patients with lung and colorectal cancer in the North Carolina Central Cancer Registry (2010–2015).

Methods

This study examined non-Hispanic uninsured or privately-insured patients 18 to 64 years of age. Multivariable logistic regression models, including two-way interaction terms, assessed the influence of race, insurance status, rurality, and Social Deprivation Index on stage at diagnosis and receipt of surgery.

Results

6574 lung cancer patients and 5355 colorectal cancer patients were included. Among the lung cancer patients, the uninsured patients had higher odds of having stage IV disease (odds ratio [OR] = 1.46; 95 % confidence interval [CI] = 1.22–1.76) and lower odds of receiving surgery (OR = 0.48; 95 % CI = 0.34–0.69) than the privately-insured patients. Among the colorectal cancer patients, uninsured status was associated with higher odds of stage IV disease (OR = 1.53; 95 % CI = 1.17–2.00) than privately-insured status. A significant insurance status and rurality interaction (p = 0.03) was found in the colorectal model for receipt of surgery. In the privately-insured group, non-Hispanic Black and rural patients had lower odds of receiving colorectal surgery (OR = 0.69; 95 % CI = 0.50–0.94 and OR = 0.68; 95 % CI = 0.52–0.89; respectively) than their non-Hispanic White and urban counterparts.

Conclusions

After controlling for confounding and evaluation of interactions between patient-, community-, and geographic-level factors, uninsured status remained the strongest driver of patients’ presentation with late-stage lung and colorectal cancer. As policy and care delivery transformation targets uninsured and vulnerable populations, explicit recognition, and measurement of intersectionality should be considered.

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References

  1. Bierman AS, Dunn JR. Swimming upstream: access, health outcomes, and the social determinants of health. J Gen Intern Med. 2006;21:99–100. https://doi.org/10.1111/j.1525-1497.2005.00317.x.PMID:16423133;PMCID:PMC1484628.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Dean LT, Gehlert S, Neuhouser ML, Oh A, Zanetti K, Goodman M, et al. Social factors matter in cancer risk and survivorship. Cancer Causes Control. 2018;29:611–8. https://doi.org/10.1007/s10552-018-1043-y (Epub 30 May 2018. PMID: 29846844; PMCID: PMC5999161).

    Article  PubMed  PubMed Central  Google Scholar 

  3. Blair A, Datta GD. Associations between area-level deprivation, rural residence, physician density, screening policy, and late-stage colorectal cancer in Canada. Cancer Epidemiol. 2020;64:101654. https://doi.org/10.1016/j.canep.2019.101654 (Epub 11 December 2019 PMID: 31837534).

    Article  PubMed  Google Scholar 

  4. Kurani SS, McCoy RG, Lampman MA, Doubeni CA, Finney Rutten LJ, Inselman JW, et al. Association of neighborhood measures of social determinants of health with breast, cervical, and colorectal cancer screening rates in the US. Midwest JAMA Netw Open. 2020;3:e200618. https://doi.org/10.1001/jamanetworkopen.2020.0618 (PMID: 32150271; PMCID: PMC7063513).

    Article  PubMed  Google Scholar 

  5. Coburn N, Fulton J, Pearlman DN, Law C, DiPaolo B, Cady B. Treatment variation by insurance status for breast cancer patients. Breast J. 2008;14:128–34. https://doi.org/10.1111/j.1524-4741.2007.00542.x (PMID: 18315690).

    Article  PubMed  Google Scholar 

  6. Pasch JA, MacDermid E, Velovski S. Effect of rurality and socioeconomic deprivation on presentation stage and long-term outcomes in patients undergoing surgery for colorectal cancer. ANZ J Surg. 2021;91:1569–74. https://doi.org/10.1111/ans.16734 (Epub 1 April 2021 PMID: 33792127).

    Article  PubMed  Google Scholar 

  7. Gross CP, Smith BD, Wolf E, Andersen M. Racial disparities in cancer therapy: did the gap narrow between 1992 and 2002? Cancer. 2008;112:900–8. https://doi.org/10.1002/cncr.23228.

    Article  PubMed  Google Scholar 

  8. Hines RB, Markossian TW. Differences in late-stage diagnosis, treatment, and colorectal cancer-related death between rural and urban African Americans and whites in Georgia. J Rural Health. 2012;28:296–305. https://doi.org/10.1111/j.1748-0361.2011.00390.x (Epub 24 August 2011 PMID: 22757954).

    Article  PubMed  Google Scholar 

  9. Du XL, Lin CC, Johnson NJ, Altekruse S. Effects of individual-level socioeconomic factors on racial disparities in cancer treatment and survival: findings from the National Longitudinal Mortality Study, 1979–2003. Cancer. 2011;117:3242–51. https://doi.org/10.1002/cncr.25854 (Epub 24 January 2011. PMID: 21264829. PMCID: PMC3090714).

    Article  PubMed  Google Scholar 

  10. Halpern MT, Ward EM, Pavluck AL, Schrag NM, Bian J, Chen AY. Association of insurance status and ethnicity with cancer stage at diagnosis for 12 cancer sites: a retrospective analysis. Lancet Oncol. 2008;9:222–31. https://doi.org/10.1016/S1470-2045(08)70032-9 (Epub 20 February 2008 PMID: 18282806).

    Article  PubMed  Google Scholar 

  11. Nelson A. Unequal treatment: confronting racial and ethnic disparities in health care. J Natl Med Assoc. 2002;94:666–8.

    PubMed  PubMed Central  Google Scholar 

  12. Ward E, Jemal A, Cokkinides V, Singh GK, Cardinez C, Ghafoor A, Thun M. Cancer disparities by race/ethnicity and socioeconomic status. CA Cancer J Clin. 2004;54:78–93. https://doi.org/10.3322/canjclin.54.2.78 (PMID: 15061598).

    Article  PubMed  Google Scholar 

  13. Sommers BD, Blendon RJ, Orav EJ, Epstein AM. Changes in utilization and health among low-income adults after Medicaid expansion or expanded private insurance. JAMA Intern Med. 2016;176:1501–9. https://doi.org/10.1001/jamainternmed.2016.4419.

    Article  PubMed  Google Scholar 

  14. Sommers BD, Gawande AA, Baicker K. Health insurance coverage and health: what the recent evidence tells us. N Engl J Med. 2017;377:586–93. https://doi.org/10.1056/NEJMsb1706645 (Epub 21 January 2017 PMID: 28636831).

    Article  PubMed  Google Scholar 

  15. Ayanian JZ, Kohler BA, Abe T, Epstein AM. The relation between health insurance coverage and clinical outcomes among women with breast cancer. N Engl J Med. 1993;329:326–31. https://doi.org/10.1056/NEJM199307293290507 (PMID: 8321261).

    Article  CAS  PubMed  Google Scholar 

  16. Kuzmiak CM, Haberle S, Padungchaichote W, Zeng D, Cole E, Pisano ED. Insurance status and the severity of breast cancer at the time of diagnosis. Acad Radiol. 2008;15:1255–8. https://doi.org/10.1016/j.acra.2008.04.011 (PMID: 18790396).

    Article  PubMed  Google Scholar 

  17. Tatalovich Z, Zhu L, Rolin A, Lewis DR, Harlan LC, Winn DM. Geographic disparities in late-stage breast cancer incidence: results from eight states in the United States. Int J Health Geogr. 2015;14:31. https://doi.org/10.1186/s12942-015-0025-5.PMID:26497363;PMCID:PMC4619382.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Chow CJ, Al-Refaie WB, Abraham A, Markin A, Zhong W, Rothenberger DA, et al. Does patient rurality predict quality colon cancer care? A population-based study. Dis Colon Rectum. 2015;58:415–22. https://doi.org/10.1097/DCR.0000000000000173.PMID:25751798;PMCID:PMC4356018.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Nfonsam VN, Vijayasekaran A, Pandit V, Vera E, Aziz H, Nzuonkwelle S, Ohlson E, DiGiovanni RM, Jandova J. Patients diagnosed with colorectal cancer in rural areas in Arizona typically present with higher stage disease. J Gastrointest Dig Syst. 2015;5:346. https://doi.org/10.4172/2161-069X.1000346.

  20. Johnson AM, Hines RB, Johnson JA III, Bayakly AR. Treatment and survival disparities in lung cancer: the effect of social environment and place of residence. Lung Cancer. 2014;83:401–7. https://doi.org/10.1016/j.lungcan.2014.01.008 (Epub 18 January 2014 PMID: 24491311).

    Article  PubMed  Google Scholar 

  21. Zahnd WE, Fogleman AJ, Jenkins WD. Rural-urban disparities in stage of diagnosis among cancers with preventive opportunities. Am J Prev Med. 2018;54:688–98. https://doi.org/10.1016/j.amepre.2018.01.021 (Epub 15 March 2018 PMID: 29550163).

    Article  PubMed  Google Scholar 

  22. Singh GK, Miller BA, Hankey BF, Edwards BK. Area Socioeconomic Variations in U.S. Cancer Incidence, Mortality, Stage, Treatment, and Survival, 1975–1999. NCI Cancer Surveillance Monograph Series, no. 4. NIH publication no. 03-5417. National Cancer Institute, Bethesda, MD, 2003.

  23. Tolbert J, Orgera K, Damico A. Key facts about the uninsured population. Kaiser Family Foundation. 6 November 2020. Retrieved 18 October 2020 at https://www.kff.org/uninsured/issue-brief/key-facts-about-the-uninsured-population/.

  24. Penson DF, Stoddard ML, Pasta DJ, Lubeck DP, Flanders SC, Litwin MS. The association between socioeconomic status, health insurance coverage, and quality of life in men with prostate cancer. J Clin Epidemiol. 2001;54:350–8. https://doi.org/10.1016/s0895-4356(00)00312-7 (PMID: 11297885).

    Article  CAS  PubMed  Google Scholar 

  25. QuickFacts: North Carolina. United States Census Bureau. Retrieved 11 October 2021 at https://www.census.gov/quickfacts/NC.

  26. QuickFacts: United States. United States Census Bureau. Retrieved 11 October 2021 at https://www.census.gov/quickfacts/fact/table/US/PST045219.

  27. North Carolina Social Determinants of Health by Regions. NC State Center for Health Statistics. Retrieved 11 October 2021 at https://arcg.is/9bbHr.

  28. Fritz A, Percy C, Jack A, Shanmugaratnam K, Sobin L, Parkin DM, Whelan S. International classification of diseases for cncology: ICD-0. World Health Organization. ed 3, 1st revision. Retrieved July 7, 2020 at https://apps.who.int/iris/bitstream/handle/10665/96612/9789241548496_eng.pdf.

  29. SEER ICD-0-3 coding materials archive. U.S. Department of Health and Human Services, National Institutes of Health. 2001. Retrieved July 7, 2020 at https://seer.cancer.gov/archive/icd-o-3/.

  30. North American Association of Central Cancer Registries Data Dictionary. Retrieved 10 July 2020 at http://datadictionary.naaccr.org/default.aspx?c=10&Version=21#sources.

  31. SEER Research Data Record Description: Cases Diagnosed in 1975–2016. U.S. Department of Health and Human Services, National Institutes of Health. April 2019. Retrieved 10 July 2020 at https://seer.cancer.gov/data-software/documentation/seerstat/nov2018/TextData.FileDescription.pdf.

  32. American College of Surgeons Commission on Cancer. Standards for Oncology Registry Entry 2018 Appendix B: Site-Specific Surgery Codes, 468–470, 2020. Retrieved 10 July 2020 https://www.facs.org/~/media/files/quality%20programs/cancer/ncdb/store_manual_2018.ashx.

  33. Social Deprivation Index (SDI). Robert Graham Center. Retrieved 10 July 2020 at https://www.graham-center.org/rgc/maps-data-tools/sdi/social-deprivation-index.html/ACS2015_CTallvars.xlsx.

  34. Economic Research Service. Rural-Urban Commuting Area Codes. United States Department of Agriculture. Retrieved 20 August 20 at https://www.ers.usda.gov/data-products/rural-urban-commuting-area-codes/.

  35. Elixhauser Comorbidity Software, version 3.7. Agency for Healthcare Research and Quality. Retrieved 20 August 2020 at https://www.hcup-us.ahrq.gov/toolssoftware/comorbidity/comorbidity.jsp.

  36. SAS 9.4 System Options: Reference. SAS Institute Inc. 2nd ed; 2011.

  37. Eguia E, Cobb AN, Kothari AN, Molefe A, Afshar M, Aranha GV, Kuo PC. Impact of the Affordable Care Act (ACA) Medicaid expansion on cancer admissions and surgeries. Ann Surg. 2018;268:584–90. https://doi.org/10.1097/SLA.0000000000002952.

    Article  PubMed  Google Scholar 

  38. Wright BJ, Conlin AK, Allen HL, Tsui J, Carlson MJ, Li HF. What does Medicaid expansion mean for cancer screening and prevention? Results from a randomized trial on the impacts of acquiring Medicaid coverage. Cancer. 2016;122:791–7. https://doi.org/10.1002/cncr.29802 (Epub 9 December 2015. PMID: 26650571; PMCID: PMC6193753).

    Article  CAS  PubMed  Google Scholar 

  39. Le Blanc JM, Heller DR, Friedrich A, Lannin DR, Park TS. Association of Medicaid expansion under the Affordable Care Act with breast cancer stage at diagnosis. JAMA Surg. 2020. https://doi.org/10.1001/jamasurg.2020.1495 (Epub 1 July 2020).

    Article  PubMed  PubMed Central  Google Scholar 

  40. Takvorian SU, Oganisian A, Mamtani R, Mitra N, Shulman LN, Bekelman JE, Werner RM. Association of Medicaid expansion under the Affordable Care Act with insurance status, cancer stage, and timely treatment among patients with breast, colon, and lung cancer. JAMA Netw Open. 2020;3:e1921653. https://doi.org/10.1001/jamanetworkopen.2019.21653 (PMID: 32074294).

    Article  PubMed  Google Scholar 

  41. Singh GK, Miller BA, Hankey BF, Edwards BK. Area Socioeconomic Variations in U.S. Cancer Incidence, Mortality, Stage, Treatment, and Survival, 1975–1999. NCI Cancer Surveillance Monograph Series, no. 4. NIH publication no. 03-5417. National Cancer Institute Bethesda, MD, 2003.

  42. Jones, CP. Systems of power, axes of inequity: parallels, intersections, braiding the strands. Medical Care. 2014;52:S71–5. Retrieved 27 June 2021 at from http://www.jstor.org/stable/24465890.

  43. Begg CB, Cramer LD, Hoskins WJ, Brennan MF. Impact of hospital volume on operative mortality for major cancer surgery. JAMA. 1998;280:1747–51. https://doi.org/10.1001/jama.280.20.1747 (PMID: 9842949).

    Article  CAS  PubMed  Google Scholar 

  44. Hillner BE, Smith TJ, Desch CE. Hospital and physician volume or specialization and outcomes in cancer treatment: importance in quality of cancer care. J Clin Oncol. 2000;18:2327–40. https://doi.org/10.1200/JCO.2000.18.11.2327 (PMID: 10829054).

    Article  CAS  PubMed  Google Scholar 

  45. Ordonez, D. North Carolina’s Hispanic Community: 2020 Snapshot. Carolina Demography. Retrieved 28 July 2021 at https://www.ncdemography.org/2021/02/05/north-carolinas-hispanic-community-2020-snapshot/.

  46. Medicaid Income Eligibility Limits for Adults as a Percent of the Federal Poverty Level. Retrieved 23 August 2021 at https://www.kff.org/health-reform/state-indicator/medicaid-income-eligibility-limits-for-adults-as-a-percent-of-the-federal-poverty-level/?currentTimeframe=0&sortModel=%7B%22colId%22:%22Location%22,%22sort%22:22asc%22%7D.

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Correspondence to Mary M. Leech BA.

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Appendices

Appendix 1

Definition for cancer stagea

Derived AJCC-7 stage GRP

NAACCR item no. 3430

Code

Description

Stage

000

Stage 0

0

010

Stage 0a

0

020

Stage 0is

0

100

Stage 1

1

110

Stage 1NOS

1

120

Stage 1A

1

130

Stage 1A1

1

140

Stage 1A2

1

121

Stage 1A NOS

1

150

Stage 1B

1

160

Stage 1B1

1

170

Stage 1B2

1

151

Stage 1B NOS

1

180

Stage 1C

1

190

Stage 1S

1

300

Stage 2

2

310

Stage 2 NOS

2

320

Stage 2A

2

321

Stage 2A NOS

2

322

Stage 2A1

2

323

Stage 2A NOS

2

330

Stage 2B

2

340

Stage 2C

2

500

Stage 3

3

510

Stage 3 NOS

3

520

Stage 3A

3

530

Stage 3B

3

540

Stage 3C

3

541

Stage 3C1

3

542

Stage 3C2

3

700

Stage 4

4

710

Stage 4 NOS

4

720

Stage 4A

4

730

Stage 4B

4

740

Stage 4C

4

888

Not applicable

9

900

Stage occult

9

999

Stage Unknown

9

  1. aDerived from the American Joint Committee on Cancer (AJCC)-7 Stage Group Crosswalk (https://seer.cancer.gov/data-software/documentation/seerstat/nov2018/TextData.FileDescription.pdf, accessed 7/15/2020)

Appendix 2

Definition for cancer-directed surgery

Code

Surgical procedure of primary site (NAACCR #1290)a

Cancer-directed surgery

00

None; no surgery of primary site; autopsy ONLY

No

10–19

Local tumor destruction, NOS

No

20–80

Site-specific codesb

Yes

90

Surgery, NOS

No

99

Unknown whether surgery was performed; death certificate ONLY

No

  1. aRetrieved 10 July 2020 at https://www.facs.org/~/media/files/quality%20programs/cancer/ncdb/store_manual_2018.ashx, pages 468–470, Appendix B: site-specific surgery codes
  2. bAdditional site-specific codes for lung and colorectal cancer coded as “No” for cancer-directed surgery:

Lung

22 Segmental resection, including lingulectomy

23 Excision, NOS

24 Laser excision

Colorectal

20 Local tumor excision, NOS

27 Excisional biopsy

26 Polypectomy, NOS

28 Polypectomy-endoscopic

29 Polypectomy-surgical excision

Any combination of 20 or 26–29 WITH

21 Photodynamic therapy (PDT)

22 Electrocautery

23 Cryosurgery

24 Laser ablation

25 Laser excision

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Leech, M.M., Weiss, J.E., Markey, C. et al. Influence of Race, Insurance, Rurality, and Socioeconomic Status on Equity of Lung and Colorectal Cancer Care. Ann Surg Oncol 29, 3630–3639 (2022). https://doi.org/10.1245/s10434-021-11160-1

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