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Risk of Adverse Financial Events in Patients With Cancer: Evidence From a Novel Linkage Between Cancer Registry and Credit Records.
Shankaran, Veena; Li, Li; Fedorenko, Catherine; Sanchez, Hayley; Du, Yuxian; Khor, Sara; Kreizenbeck, Karma; Ramsey, Scott.
Afiliação
  • Shankaran V; Hutchinson Institute for Cancer Outcomes Research, Fred Hutchinson Cancer Research Center, Seattle, WA.
  • Li L; Division of Medical Oncology, University of Washington School of Medicine, Seattle, WA.
  • Fedorenko C; Hutchinson Institute for Cancer Outcomes Research, Fred Hutchinson Cancer Research Center, Seattle, WA.
  • Sanchez H; Hutchinson Institute for Cancer Outcomes Research, Fred Hutchinson Cancer Research Center, Seattle, WA.
  • Du Y; Hutchinson Institute for Cancer Outcomes Research, Fred Hutchinson Cancer Research Center, Seattle, WA.
  • Khor S; Bayer US, Whippany, NJ.
  • Kreizenbeck K; The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, University of Washington, Seattle, WA.
  • Ramsey S; Hutchinson Institute for Cancer Outcomes Research, Fred Hutchinson Cancer Research Center, Seattle, WA.
J Clin Oncol ; 40(8): 884-891, 2022 03 10.
Article em En | MEDLINE | ID: mdl-34995125
ABSTRACT

PURPOSE:

Although financial toxicity is a growing cancer survivorship issue, no studies have used credit data to estimate the relative risk of financial hardship in patients with cancer versus individuals without cancer. We conducted a population-based retrospective matched cohort study using credit reports to investigate the impact of a cancer diagnosis on the risk of adverse financial events (AFEs).

METHODS:

Western Washington SEER cancer registry (cases) and voter registry (controls) records from 2013 to 2018 were linked to quarterly credit records from TransUnion. Controls were age-, sex-, and zip code-matched to cancer cases and assigned an index date corresponding to the case's diagnosis date. Cases and controls experiencing past-due credit card payments and any of the following AFEs at 24 months from diagnosis or index were compared, using two-sample z tests third-party collections, charge-offs, tax liens, delinquent mortgage payments, foreclosures, and repossessions. Multivariate logistic regression models were used to evaluate the association of cancer diagnosis with AFEs and past-due credit payments.

RESULTS:

A total of 190,722 individuals (63,574 cases and 127,148 controls, mean age 66 years) were included. AFEs (4.3% v 2.4%, P < .0001) and past-due credit payments (2.6% v 1.9%, P < .0001) were more common in cases than in controls. After adjusting for age, sex, average baseline credit line, area deprivation index, and index/diagnosis year, patients with cancer had a higher risk of AFEs (odds ratio 1.71; 95% CI, 1.61 to 1.81; P < .0001) and past-due credit payments (odds ratio 1.28; 95% CI, 1.19 to 1.37; P < .0001) than controls.

CONCLUSION:

Patients with cancer were at significantly increased risk of experiencing AFEs and past-due credit card payments relative to controls. Studies are needed to investigate the impact of these events on treatment decisions, quality of life, and clinical outcomes.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Qualidade de Vida / Neoplasias Tipo de estudo: Etiology_studies / Health_economic_evaluation / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Revista: J Clin Oncol Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Qualidade de Vida / Neoplasias Tipo de estudo: Etiology_studies / Health_economic_evaluation / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Revista: J Clin Oncol Ano de publicação: 2022 Tipo de documento: Article