4.5 Article

Early predictors of not returning to work in low-income breast cancer survivors: a 5-year longitudinal study

Journal

BREAST CANCER RESEARCH AND TREATMENT
Volume 140, Issue 2, Pages 407-416

Publisher

SPRINGER
DOI: 10.1007/s10549-013-2625-8

Keywords

Breast cancer; Income; Work; Survivorship

Categories

Funding

  1. American Cancer Society [TURSG-02-081, MRSGT-11-002-01-CPHPS]
  2. California Breast Cancer Research Program [7PB-0070]
  3. National Cancer Institute [1R01CA119197-01A1, 1R01CA140481-01A1]
  4. American Society of Clinical Oncology (CDA, Blinder)

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Low-income women may be especially vulnerable to job loss after a breast cancer diagnosis. The identification of early risk factors for not returning to work in the long term could inform interventions to help survivors avoid this outcome. A consecutive sample of low-income, employed, underinsured/uninsured women treated for stage 0-III breast cancer was surveyed 6, 18, 36, and 60 months after diagnosis. Participants were classified according to the survey in which they first reported return to work. If they were not working in every survey they were classified as not returning to work. Correlates of not returning to work were identified. Of 274 participants, 36 % returned to work by 6 months, an additional 21 % by 18, 10 % by 36, and 5 % by 60 months. 27 % never returned to work. Of those not working at 6 months, 43 % never returned. Independent predictors of never returning to work included lowest annual income (<$10,000), Latina ethnicity, high comorbidity burden, and receipt of chemotherapy. Very poor women who stop working during chemotherapy for breast cancer are at risk of not returning to work months and years following treatment. These findings may have clinical and policy implications. Conversely, radiation therapy, axillary node dissection, age, and job type do not appear to be associated with return to work. Clinicians should discuss work-related concerns with patients and facilitate early return to work when desired by the patient. Additional research is needed to develop interventions to optimize return to work.

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