Influence of Health Insurance Types on Clinical Cancer Care Accessibility and Quality Using All of Us Database

Medicina (Kaunas). 2024 Apr 11;60(4):623. doi: 10.3390/medicina60040623.

Abstract

Background and Objectives: Cancer, as the second leading cause of death in the United States, poses a huge healthcare burden. Barriers to access to advanced therapies influence the outcome of cancer treatment. In this study, we examined whether insurance types affect the quality of cancer clinical care. Materials and Methods: Data for 13,340 cancer patients with Purchased or Medicaid insurance from the All of Us database were collected for this study. The chi-squared test of proportions was employed to determine the significance of patient cohort characteristics and the accessibility of healthcare services between the Purchased and Medicaid insurance groups. Results: Cancer patients who are African American, with lower socioeconomic status, or with lower educational attainment are more likely to be insured by Medicaid. An analysis of the survey questions demonstrated the relationship between income and education level and insurance type, as Medicaid cancer patients were less likely to receive primary care and specialist physician access and more likely to request lower-cost medications. Conclusions: The inequities of the US healthcare system are observed for cancer patient care; access to physicians and medications is highly varied and dependent on insurance types. Socioeconomic factors further influence insurance types, generating a significant impact on the overall clinical care quality for cancer patients that eventually determines treatment outcomes and the quality of life.

Keywords: cancer; care accessibility; health inequity; insurance; socioeconomic factors.

MeSH terms

  • Adult
  • Aged
  • Databases, Factual
  • Female
  • Health Services Accessibility* / standards
  • Health Services Accessibility* / statistics & numerical data
  • Humans
  • Insurance, Health* / statistics & numerical data
  • Male
  • Medicaid / statistics & numerical data
  • Middle Aged
  • Neoplasms* / therapy
  • Quality of Health Care / standards
  • Quality of Health Care / statistics & numerical data
  • Socioeconomic Factors
  • United States

Grants and funding

This research is partially supported by the intramural research funds of California University of Science and Medicine to Jun Ling.