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Relationships Among Health Insurance Literacy, Financial Toxicity, and Sociodemographic Factors in Patients With Cancer.
Lee, Minji K; Durani, Urshila; Zhang, Nan; Hilal, Talal; Warsame, Rahma M; Borah, Bijan; Khera, Nandita; Griffin, Joan M.
Afiliação
  • Lee MK; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN.
  • Durani U; Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN.
  • Zhang N; Department of Quantitative Health Sciences, Mayo Clinic, Phoenix, AZ.
  • Hilal T; Department of Quantitative Health Sciences, Mayo Clinic, Phoenix, AZ.
  • Warsame RM; Division of Hematology/Oncology, University of Mississippi, Jackson, MS.
  • Borah B; Division of Hematology, Department of Medicine, Mayo Clinic, Rochester, MN.
  • Khera N; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
  • Griffin JM; Division of Health Care Delivery Research, Mayo Clinic, Rochester, MN.
JCO Oncol Pract ; 19(10): 888-898, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37616546
ABSTRACT

PURPOSE:

The objective of the study was to describe the prevalence of health insurance literacy (HIL) and investigate how patient-reported outcome measures assessing HIL are related to financial toxicity in patients with cancer.

METHODS:

We assessed HIL and financial toxicity in 404 patients enrolled between December 2019 and January 2021 at two medical centers in the United States. We conducted exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to explore and test the relationships among the factors and items. We fit structural equation models (SEMs) to find the relationships among the factors and sociodemographic/clinical characteristics.

RESULTS:

The EFA revealed items loaded on four factors knowledge about health insurance, confidence related to HIL (HIL confidence), information-seeking behavior related to health insurance, and financial toxicity. The four-factor CFA model had good fit statistics (comparative fit index, 0.960; Tucker-Lewis index, 0.958; root mean square error of approximation, 0.046; and standardized root mean square residual, 0.086). In SEM, income, education level, and race positively predicted knowledge about health insurance. Knowledge about health insurance and number of total lines of cancer treatment was positively associated with HIL confidence. Higher income, older age, and HIL confidence were associated with less financial toxicity. Higher levels of financial toxicity, HIL confidence, and knowledge were associated with greater information-seeking behavior.

CONCLUSION:

Our findings showed how different aspects of HIL are related to financial toxicity even after adjustment for sociodemographic and clinical characteristics. Future studies should investigate the longitudinal relationships among these factors to help develop interventions to mitigate financial toxicity.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Letramento em Saúde / Neoplasias Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Letramento em Saúde / Neoplasias Idioma: En Ano de publicação: 2023 Tipo de documento: Article