Insurance-Based Disparities in Guideline-Concordant Thyroid Cancer Care in the Era of De-Escalation

Investigating potential disparities by exploring time to surgical thyroid cancer treatment

(1) Delays in initial treatment have been a frequently used metric for assessing disparities in medicine; however, there has been sparse literature on treatment delays in thyroid cancer. We therefore aimed to assess disparities by investigating the association between race/ethnicity, insurance type, and socioeconomic status and time to surgical treatment of thyroid cancer. (2) A retrospective chart review was conducted to collect demographic and clinical data from 443 surgical thyroid cancer patients at Mount Sinai Hospital in 2018-2019. We investigated the time between thyroid cancer diagnosis and surgery by race/ethnicity, insurance, and income groups. (3) Univariate analysis showed that race/ethnicity, insurance type, and SES alone were not statistically significant predictors of earlier time to treatment (p = 0.766, 0.339, 0.435, respectively). On multivariable linear regression, time between diagnosis and surgical treatment was not significantly different for racial minorities compared to non-Hispanic White patients, patients with Medicare/Medicaid compared to private insurance, and patients with lowest income quartile (<$54,585) compared to those with the highest (≥$116,560). (4) Present study showed no significant delays in treatment for different racial/ethnic, insurance, and income groups.

Social Determinants of Health and Disparities in Thyroid Care

BACKGROUND

There have been documented racial and ethnic disparities in the care and clinical outcomes of patients with thyroid disease.

CONTEXT

Key to improving disparities in thyroid care is understanding the context for racial and ethnic disparities, which includes acknowledging and addressing social determinants of health. Thyroid disease diagnosis, treatment, and survivorship care are impacted by patient- and system-level factors, including socioeconomic status and economic stability, language, education, health literacy, and health care systems and health policy. The relationship between these factors and downstream clinical outcomes is intricate and complex, underscoring the need for a multifaceted approach to mitigate these disparities.

CONCLUSION

Understanding the factors that contribute to disparities in thyroid disease is critically important. There is a need for future targeted and multilevel interventions to address these disparities, while considering societal, health care, clinician, and patient perspectives.