The diagnosis of cancer affects cancer patients' employment status differently according to different factors: sex, age, type of job, income, and cancer site. Efforts should be made to support re-employment and reduce unnecessary work cessation and disparity between different demographic and socioeconomic groups of cancer survivors.
Patients undergoing treatment for cancer have reported a variety of work-related problems. The aim of this study was to investigate the impact of a cancer diagnosis on employment status, and to identify relevant associated factors. This prospective cohort study was conducted at the National Cancer Center in Korea. Male patients newly diagnosed with stomach, liver, or colorectal cancers were recruited. Patients were interviewed and asked to complete an employment questionnaire every 3 months for 24 months. Clinical, sociodemographic and work-related factors were assessed. There were 305 male patients who had a primary diagnosis of cancer and underwent appropriate treatment. Of the 305 male patients who were employed at the time of diagnosis, 53% lost their job, and of these 23% later reemployed. In a multivariate Cox regression analysis, job loss was significantly associated with years of education, job characteristics and disease stage. Reemployment was significantly associated with disease stage and cancer site. Change of employment was common among cancer patients in Korea. With an understanding of the factors involved, it should be possible to reduce unnecessary work cessation, and increase the rate of employment of cancer survivors.
Clinicians involved in survivor care should check patient adherence to antihypertensive medication, as well as assess the possible reasons for nonadherence. Further studies are warranted to determine the reasons for nonadherence and to establish effective interventions in this vulnerable population.
We identified substantial demographic and socioeconomic disparities in use of high-volume hospitals for the seven procedures examined. The policy for selective referral to high-volume hospitals should include explicit efforts to identify patient and system factors required to reduce current inequities.
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