Impact of gender and employment type on job loss among cancer survivors

Author:

Tsuchiya Miyako1,Horio Yoshitsugu2,Funazaki Hatsumi2,Aogi Kenjiro3,Miyauchi Kazue4,Arai Yasuaki5,Takahashi Miyako1

Affiliation:

1. Division of Cancer Survivorship Research, Center for Cancer Control and Information Services, National Cancer Center, Tokyo, Japan

2. Regional Medical Liaison and Patient Support Center, Aichi Cancer Center Hospital, Nagoya, Japan

3. Department of Breast Surgery, National Hospital Organization Shikoku Cancer Center, Matsuyama, Japan

4. Comprehensive support center patients and families, National Hospital Organization Shikoku Cancer Center, Matsuyama, Japan

5. Department of Radiation Oncology, National Cancer Center Hospital, Tokyo, Japan

Abstract

Abstract Objective To identify factors associated with cancer-related job loss following cancer diagnosis. Methods A multicentre cross-sectional survey was conducted among adult cancer survivors employed at the time of cancer diagnosis. Hierarchical multivariate logistic regression was used to examine the association of gender and employment type with job loss after cancer diagnosis and if the interaction between gender and employment type predicted job loss. Results Of 1618 patients recruited, 1483 returned questionnaires (91.7% response rate). Data from 708 patients were eligible for analyses. Approximately 21% of patients had lost their job within 10 years of diagnosis. Patients who had undergone chemotherapy were more likely to lose their jobs than those who had not (OR = 3.24, 95% CI 2.13–4.91). Women were more likely to lose their jobs than men (OR = 2.58, 95% CI 1.48–4.50). Temporary employees were more likely to lose their jobs than regular employees (OR = 2.62, 95% CI 1.72–3.99). After controlling for demographic and clinical characteristics, no interaction effects between gender and employment type were observed (P = 0.44). Conclusions Women and temporary employees are more vulnerable to cancer-related job loss. Clinicians need greater awareness of the risk of patient job loss, and they need to assess patients’ employment types and provide appropriate support to balance treatment schedules and work.

Funder

Health Labour Sciences Research Grants

Ministry of Health, Labour and Welfare

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology,General Medicine

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