Health disparities in cervical cancer: Estimating geographic variations of disease burden and association with key socioeconomic and demographic factors in the US.

Tara Castellano, Andrew K ElHabr, Christina Washington, Jie Ting, Yitong J Zhang, Fernanda Musa, Ezgi Berksoy, Kathleen Moore, Leslie Randall, Jagpreet Chhatwal, Turgay Ayer, Charles A Leath
Author Information
  1. Tara Castellano: Department of Gynecologic Oncology, Louisiana State University, New Orleans, Louisiana, United States of America.
  2. Andrew K ElHabr: Value Analytics Labs, Boston, Massachusetts, United States of America. ORCID
  3. Christina Washington: Department of Obstetrics and Gynecology, Stephenson Cancer Center, Oklahoma City, Oklahoma, United States of America.
  4. Jie Ting: Pfizer Inc., Bothell, Washington, United States of America.
  5. Yitong J Zhang: Pfizer Inc., Bothell, Washington, United States of America.
  6. Fernanda Musa: Swedish Cancer Institute, Seattle, Washington, United States of America.
  7. Ezgi Berksoy: Value Analytics Labs, Boston, Massachusetts, United States of America.
  8. Kathleen Moore: Pfizer Inc., Bothell, Washington, United States of America.
  9. Leslie Randall: Department of Obstetrics and Gynecology, Virginia Commonwealth University, Richmond, Virginia, United States of America.
  10. Jagpreet Chhatwal: Massachusetts General Hospital Institute for Technology Assessment, Harvard Medical University, Boston, Massachusetts, United States of America.
  11. Turgay Ayer: Department of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
  12. Charles A Leath: Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama, United States of America. ORCID

Abstract

BACKGROUND: Despite advances in cervical cancer (CC) prevention, detection, and treatment in the US, health disparities persist, disproportionately affecting underserved populations or regions. This study analyzes the geographical distribution of both CC and recurrent/metastatic CC (r/mCC) in the US and explores potential risk factors of higher disease burden to inform potential strategies to address disparities in CC and r/mCC.
METHODS: We estimated CC screening rates, as well as CC burden (number of patients with CC diagnosis per 100,000 eligible enrollees) and r/mCC burden (proportion of CC patients receiving systemic therapy not in conjunction with surgery or radiation), at the geographic level between 2017-2022 using administrative claims. Data on income and race/ethnicity were obtained from US Census Bureau's American Community Survey. Brachytherapy centers were proxies for guideline-conforming care for locally advanced CC. Associations among demographic, socioeconomic, and healthcare resource variables, with CC and r/mCC disease burden were assessed.
RESULTS: Between 2017-2022, approximately 48,000 CC-diagnosed patients were identified, and approximately 10,000 initiated systemic therapy treatment. Both CC and r/mCC burden varied considerably across the US. Higher screening was significantly associated with lower CC burden only in the South. Lower income level was significantly associated with lower screening rates, higher CC and r/mCC burden. Higher proportion of Hispanic population was also associated with higher CC burden. The presence of ≥1 brachytherapy center in a region was significantly associated with a reduction in r/mCC burden (2.7%).
CONCLUSION: CC and r/mCC disparities are an interplay of certain social determinants of health, behavior, and race/ethnicity. Our findings may inform targeted interventions for a geographic area, and further highlight the importance of guideline-conforming care to reduce disease burden.

References

  1. Am J Clin Oncol. 2023 Sep 1;46(9):392-398 [PMID: 37459055]
  2. Medicine (Baltimore). 2017 Dec;96(50):e9125 [PMID: 29390313]
  3. Gynecol Oncol. 2022 Mar;164(3):645-650 [PMID: 35031189]
  4. Prev Chronic Dis. 2019 Jun 06;16:E70 [PMID: 31172917]
  5. Int J Gynecol Cancer. 2022 Aug 18;: [PMID: 35981903]
  6. Gynecol Oncol. 2023 Feb;169:113-117 [PMID: 36549175]
  7. Eur J Obstet Gynecol Reprod Biol. 2019 Apr;235:6-12 [PMID: 30771718]
  8. Lancet. 2017 Jul 15;390(10091):231-266 [PMID: 28528753]
  9. Sex Transm Dis. 2021 Apr 1;48(4):273-277 [PMID: 33492097]
  10. Am J Clin Oncol. 2018 Mar;41(3):289-294 [PMID: 26808257]
  11. Cancers (Basel). 2022 May 16;14(10): [PMID: 35626051]
  12. J Manag Care Spec Pharm. 2023 May;29(5):490-498 [PMID: 37121257]
  13. Public Health Rep. 2020 Jul/Aug;135(4):483-491 [PMID: 32516053]
  14. Prev Chronic Dis. 2021 Apr 15;18:E37 [PMID: 33856975]
  15. JCO Oncol Pract. 2021 Dec;17(12):e1958-e1967 [PMID: 34550749]
  16. J Womens Health (Larchmt). 2012 Nov;21(11):1132-8 [PMID: 22873781]
  17. Eur J Cancer. 2013 Oct;49(15):3262-73 [PMID: 23751569]
  18. BMC Cancer. 2024 Feb 1;24(1):161 [PMID: 38302893]
  19. Am J Prev Med. 2023 Oct;65(4):667-677 [PMID: 37146839]
  20. JAMA Oncol. 2022 Jan 1;8(1):159-161 [PMID: 34817550]
  21. PLoS One. 2017 Feb 24;12(2):e0172548 [PMID: 28234949]
  22. JAMA Netw Open. 2022 Sep 1;5(9):e2233429 [PMID: 36166230]
  23. CA Cancer J Clin. 2018 Nov;68(6):394-424 [PMID: 30207593]
  24. J Adv Pract Oncol. 2014 Jan;5(1):31-41 [PMID: 25032031]
  25. J Clin Oncol. 2023 Feb 10;41(5):1059-1068 [PMID: 36455190]
  26. Cancer Epidemiol Biomarkers Prev. 2021 Oct;30(10):1895-1903 [PMID: 34503948]
  27. Curr Probl Cancer. 2007 May-Jun;31(3):157-81 [PMID: 17543946]
  28. Cancer Epidemiol Biomarkers Prev. 2023 Jan 9;32(1):82-90 [PMID: 36306382]

MeSH Term

Humans
Uterine Cervical Neoplasms
Female
Middle Aged
United States
Socioeconomic Factors
Adult
Aged
Healthcare Disparities
Cost of Illness
Early Detection of Cancer
Health Status Disparities
Risk Factors

Word Cloud

Created with Highcharts 10.0.0CCburdenr/mCCUSdisparitiesdiseaseassociatedhigherscreeningpatients000geographicsignificantlycervicaltreatmenthealthpotentialfactorsinformratesproportionsystemictherapylevel2017-2022incomerace/ethnicityguideline-conformingcaredemographicsocioeconomicapproximatelyHigherlowerBACKGROUND:Despiteadvancescancerpreventiondetectionpersistdisproportionatelyaffectingunderservedpopulationsregionsstudyanalyzesgeographicaldistributionrecurrent/metastaticexploresriskstrategiesaddressMETHODS:estimatedwellnumberdiagnosisper100eligibleenrolleesreceivingconjunctionsurgeryradiationusingadministrativeclaimsDataobtainedCensusBureau'sAmericanCommunitySurveyBrachytherapycentersproxieslocallyadvancedAssociationsamonghealthcareresourcevariablesassessedRESULTS:48CC-diagnosedidentified10initiatedvariedconsiderablyacrossSouthLowerHispanicpopulationalsopresence≥1brachytherapycenterregionreduction27%CONCLUSION:interplaycertainsocialdeterminantsbehaviorfindingsmaytargetedinterventionsareahighlightimportancereduceHealthcancer:Estimatingvariationsassociationkey

Similar Articles

Cited By

No available data.