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Characteristics associated with inter-individual variability in financial distress in patients with breast cancer prior to and for 12 months following surgery

  • Raymond Javan Chan
  • , Bruce Cooper
  • , Bogda Koczwara
  • , Alexandre Chan
  • , Chia Jie Tan
  • , Louisa Gordon
  • , Steven M. Paul
  • , Laura B. Dunn
  • , Yvette P. Conley
  • , Kord M. Kober
  • , Gary Abrams
  • , Jon D. Levine
  • , Christine Miaskowski

    Research output: Contribution to journal › Article › peer-review

    11 Citations (Scopus)

    Abstract

    Purpose: To evaluate for inter-individual differences in financial distress and identify demographic, clinical, and symptom characteristics associated with higher levels of financial distress. Methods: Patients (n = 387) were enrolled prior to breast cancer surgery and followed for 12 months. Financial distress was measured using a 0 (no problem) to 10 (severe problem) numeric rating scale. Hierarchical linear modeling was used to evaluate for inter-individual differences in trajectories of financial distress and characteristics associated with financial distress at enrollment and over 12 months. Results: Patients’ mean age was 55.0 (± 11.7) years and the majority underwent breast conservation surgery (80.6%). Mean financial distress score prior to surgery was 3.3 (± 3.4; range 0 to 10). Unconditional model for financial distress demonstrated no significant changes over time (-0.006/month). Younger age, lower income, receipt of an axillary lymph node dissection and adjuvant chemotherapy, and lower attentional function were associated with higher preoperative levels of financial distress. Conclusion: Risk factors identified in this study can be used to inform clinicians regarding the need to initiate financial discussions and social work referrals for some patients. Additional clinical or system level interventions should be considered for vulnerable groups with these risk factors.

    Original languageEnglish
    Pages (from-to)1293-1302
    Number of pages10
    JournalSupportive Care in Cancer
    Volume30
    Issue number2
    Early online date3 Sept 2021
    DOIs
    Publication statusPublished - Feb 2022

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Breast cancer
    • Financial burden
    • Financial distress
    • Financial toxicity
    • Hierarchical linear modeling

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