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Fungal Infections and Social Determinants of Health: Using Data to Identify Disparities

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Abstract

Purpose of Review

Fungal diseases disproportionately affect certain demographic populations, but few studies have thoroughly investigated the drivers of those disparities. We summarize data sources that can be considered to explore potential associations between fungal diseases and social determinants of health in the United States.

Recent Findings

Sociodemographic disparities are apparent in fungal diseases, and social determinants of health (e.g., income, living conditions, and healthcare access) may be associated with increased risk of infection, severe disease, and poor health outcomes.

Summary

Numerous data sources are available in the United States to analyze the potential association between fungal diseases and underlying social determinants of health. Each source has benefits and limitations that should be considered in the development of analysis plans. Inherent challenges to all fungal disease data (e.g., underdiagnosis, underreporting, and inability to detect people who do not seek medical care) should be noted and accounted for in interpretation of results.

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Data Availability

No datasets were generated or analyzed during the current study.

References

  1. Denning DW. Global incidence and mortality of severe fungal disease. The Lancet Infectious Diseases [Internet]. 2024 Jan 12 [cited 2024 Mar 4];0(0). Available from: https://www.thelancet.com/journals/laninf/article/PIIS1473-3099(23)00692-8/fulltext.

  2. Benedict K, Whitham HK, Jackson BR. Economic burden of fungal diseases in the United States. Open Forum Infect Dis. 2022;9(4):ofac097.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Rayens E, Rayens MK, Norris KA. Demographic and socioeconomic factors associated with fungal infection risk, United States, 2019. Emerg Infect Dis. 2022;28(10):1955–69.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Jenks JD, Prattes J, Wurster S, Sprute R, Seidel D, Oliverio M, et al. Social determinants of health as drivers of fungal disease. eClinicalMedicine. 2023;66:102325.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Social determinants of health [Internet]. [cited 2024 Jan 8]. Available from: https://www.who.int/health-topics/social-determinants-of-health. Accessed 28 Nov 2023

  6. Weeks WB, Chang JE, Pagán JA, Lumpkin J, Michael D, Salcido S, et al. Rural-urban disparities in health outcomes, clinical care, health behaviors, and social determinants of health and an action-oriented, dynamic tool for visualizing them. PLOS Global Public Health. 2023;3(10):e0002420.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Tsay SV, Mu Y, Williams S, Epson E, Nadle J, Bamberg WM, et al. Burden of Candidemia in the United States, 2017. Clin Infect Dis. 2020;71(9):e449–53.

    PubMed  Google Scholar 

  8. Green BJ. Occupational Fungal Exposure in the United States. In: Viegas C, Viegas S, Gomes A, Täubel M, Sabino R, editors. Exposure to microbiological agents in indoor and occupational environments [Internet]. Cham: Springer International Publishing; 2017 [cited 2024 Jan 12]. p. 3–33. Available from: https://doi.org/10.1007/978-3-319-61688-9_1.

  9. Seth D, Cheldize K, Brown D, Freeman EE. Global Burden of Skin Disease: Inequities and Innovations. Curr Derm Rep. 2017;6(3):204–10.

    Article  PubMed  Google Scholar 

  10. Rauh VA, Landrigan PJ, Claudio L. Housing and health. Ann N Y Acad Sci. 2008;1136(1):276–88.

    Article  PubMed  Google Scholar 

  11. Goldman AL, McCormick D, Haas JS, Sommers BD. Effects of the ACA’s Health Insurance Marketplaces on the previously uninsured: a quasi-experimental analysis. Health Affairs. 2018;37(4):591–9.

    Article  PubMed  Google Scholar 

  12. Moser JW, Applegate KE. Imaging and insurance: do the uninsured get less imaging in emergency departments? J Am Coll Radiol. 2012;9(1):50–7.

    Article  PubMed  Google Scholar 

  13. Richardson A, Allen JA, Xiao H, Vallone D. Effects of race/ethnicity and socioeconomic status on health information-seeking, confidence, and trust. J Health Care Poor Underserved. 2012;23(4):1477–93.

    Article  PubMed  Google Scholar 

  14. Selove R, Kilbourne B, Fadden MK, Sanderson M, Foster M, Offodile R, et al. Time from screening mammography to biopsy and from biopsy to breast cancer treatment among Black and White, women medicare beneficiaries not participating in a health maintenance organization. Women’s Health Issues. 2016;26(6):642–7.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Lukachko A, Olfson M. Race and the clinical diagnosis of depression in new primary care patients. Gen Hosp Psychiatry. 2012;34(1):98–100.

    Article  PubMed  Google Scholar 

  16. Howell EA, Brown H, Brumley J, Bryant AS, Caughey AB, Cornell AM, et al. Reduction of peripartum racial and ethnic disparities: a conceptual framework and maternal safety consensus bundle. Obstet Gynecol. 2018;131(5):770.

    Article  PubMed  Google Scholar 

  17. Bilheimer LT, Klein RJ. Data and measurement issues in the analysis of health disparities. Health Serv Res. 2010;45(5 Pt 2):1489–507.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Magaña López M, Bevans M, Wehrlen L, Yang L, Wallen GR. Discrepancies in race and ethnicity documentation: a potential barrier in identifying racial and ethnic disparities. J Racial and Ethnic Health Disparities. 2017;4(5):812–8.

    Article  Google Scholar 

  19. Dembosky JW, Haviland AM, Haas A, Hambarsoomian K, Weech-Maldonado R, Wilson-Frederick SM, et al. Indirect estimation of race/ethnicity for survey respondents who do not report race/ethnicity. Med Care. 2019;57(5):e28-33.

    Article  PubMed  Google Scholar 

  20. Reportable Fungal Diseases by State | Fungal Diseases | CDC [Internet]. 2023 [cited 2023 Nov 26]. Available from: https://www.cdc.gov/fungal/fungal-disease-reporting-table.html. Accessed 26 Nov 2023

  21. Johnson JA, Moore B, Hwang EK, Hickner A, Yeo H. The accuracy of race & ethnicity data in US based healthcare databases: a systematic review. Am J Surg. 2023;226(4):463–70.

    Article  PubMed  Google Scholar 

  22. Benedict K, Gold JAW, Jenkins EN, Roland J, Barter D, Czaja CA, et al. Low sensitivity of international classification of diseases, tenth revision coding for culture-confirmed candidemia cases in an Active Surveillance System: United States, 2019–2020. Open Forum Infect Dis. 2022;9(9):ofac461.

    Article  PubMed  PubMed Central  Google Scholar 

  23. National Center for Health Statistics. FastStats. 2023 [cited 2024 Jan 17]. Electronic Medical records/electronic health records (EMRs/EHRs). Available from: https://www.cdc.gov/nchs/fastats/electronic-medical-records.htm. Accessed 26 Nov 2023

  24. Jones JM, Koski L, Khan M, Brady S, Sunenshine R, Komatsu KK. Coccidioidomycosis: an underreported cause of death—Arizona, 2008–2013. Med Mycol. 2018;56(2):172–9.

    Article  PubMed  Google Scholar 

  25. Understanding Death data quality: cause of death from death certificates. https://www.cdc.gov/nchs/nvss/covid-19.htm#understanding-death-data-quality. Accessed 18 Dec 2023

  26. Dignani MC. Epidemiology of invasive fungal diseases on the basis of autopsy reports. F1000Prime Rep. 2014;6:81.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Hoyert D. Autopsies in the United States in 2020 [Internet]. National Center for Health Statistics (U.S.); 2023 May [cited 2024 Jan 15]. Available from: https://stacks.cdc.gov/view/cdc/126588. Accessed 8 Jan 2024

  28. CDC/ATSDR Social Vulnerability Index (SVI) [Internet]. 2023 [cited 2024 Jan 8]. Available from: https://www.atsdr.cdc.gov/placeandhealth/svi/index.html. Accessed 8 Jan 2024

  29. CDC. Centers for Disease Control and Prevention. 2023 [cited 2024 Jan 8]. Environmental Justice Index (EJI). Available from: https://www.atsdr.cdc.gov/placeandhealth/eji/index.html. Accessed 8 Jan 2024

  30. About the Research Hub – All of Us Research Hub [Internet]. [cited 2024 Jan 15]. Available from: https://www.researchallofus.org/about-the-research-hub/. Accessed 8 Jan 2024

  31. Social Determinants of Health Database (Beta Version) [Internet]. [cited 2024 Jan 15]. Available from: https://www.ahrq.gov/sdoh/data-analytics/sdoh-data.html. Accessed 8 Jan 2024

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Authors

Contributions

S.W. and M.T. conceptualized the manuscript. S.W. wrote the main manuscript text and prepared the table. All authors reviewed the manuscript.

Corresponding author

Correspondence to Samantha L. Williams.

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This article does not contain any studies with human participants or animals performed by any of the authors.

Competing Interests

The authors declare no competing interests.

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The findings and conclusions of this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control (CDC).

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Williams, S.L., Benedict, K. & Toda, M. Fungal Infections and Social Determinants of Health: Using Data to Identify Disparities. Curr Fungal Infect Rep (2024). https://doi.org/10.1007/s12281-024-00494-4

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  • DOI: https://doi.org/10.1007/s12281-024-00494-4

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