Treatment decisions and employment of breast cancer patients: Results of a population-based survey

Authors


  • We acknowledge the work of our project staff (Mackenzie Crawford, MPH, and Kiyana Perrino, MPH, from the Georgia Cancer Registry; Jennifer Zelaya, Pamela Lee, Maria Gaeta, Virginia Parker, BA, and Renee Bickerstaff-Magee from the University of Southern California; and Rebecca Morrison, MPH, Alexandra Jeanpierre, MPH, Stefanie Goodell, BS, and Rose Juhasz, PhD, from the University of Michigan). We also thank the breast cancer patients who responded to our survey.

Abstract

BACKGROUND

Many patients with breast cancer work for pay at the time of their diagnosis, and the treatment plan may threaten their livelihood. Understanding work experiences in a contemporary population-based sample is necessary to inform initiatives to reduce the burden of cancer care.

METHODS

Women who were 20 to 79 years old and had been diagnosed with stage 0 to II breast cancer, as reported to the Georgia and Los Angeles Surveillance, Epidemiology, and End Results registries in 2014-2015, were surveyed. Of the 3672 eligible women, 2502 responded (68%); 1006 who reported working before their diagnosis were analyzed. Multivariate models evaluated correlates of missing work for >1 month and stopping work altogether versus missing work for ≤1 month.

RESULTS

In this diverse sample, most patients (62%) underwent lumpectomy; 16% underwent unilateral mastectomy (8% with reconstruction); and 23% underwent bilateral mastectomy (19% with reconstruction). One-third (33%) received chemotherapy. Most (84%) worked full-time before their diagnosis; however, only 50% had paid sick leave, 39% had disability benefits, and 38% had flexible work schedules. Surgical treatment was strongly correlated with missing >1 month of work (odds ratio [OR] for bilateral mastectomy with reconstruction vs lumpectomy, 7.8) and with stopping work altogether (OR for bilateral mastectomy with reconstruction vs lumpectomy, 3.1). Chemotherapy receipt (OR for missing >1 month, 1.3; OR for stopping work altogether, 3.9) and race (OR for missing >1 month for blacks vs whites, 2.0; OR for stopping work altogether for blacks vs whites, 1.7) also correlated. Those with paid sick leave were less likely to stop working (OR, 0.5), as were those with flexible schedules (OR, 0.3).

CONCLUSIONS

Working patients who received more aggressive treatments were more likely to experience substantial employment disruptions. Cancer 2017. © 2017 American Cancer Society.

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