Objective Previous qualitative studies found cancer stigma was associated with work discrimination and job loss among cancer patients. This study aims to quantify the association between cancer stigma and job loss among cancer survivors. Methods For this study, we used the data from a face‐to‐face cross sectional survey conducted at two cancer hospitals in Seoul and Hwasun in South Korea from October 2017 to March 2018. Cancer stigma was assessed using a validated questionnaire which consists of 12 items in three domains: (a) impossibility of recovery; (b) stereotypes; and (c) discrimination. Multivariable logistic regression was performed to evaluate the association between cancer stigma and job loss adjusting age, sex, marital status, education, job type, residence area, cancer site, stage, comorbidity, time since diagnosis, and self‐efficacy. Results Among 433 cancer survivors, 24.0% lost their jobs after cancer, and 20.7% experienced discrimination at work. Of total, 21.7% of the survivors agreed that it was difficult to treat cancer regardless of highly developed medical science. Survivors with stigma on impossibility of recovery and stereotypes were 3.10 (95% confidence interval [CI]: [1.76, 5.44]) and 2.10 (95% CI: [1.20, 3.67]) times more likely to lose a job than survivors without cancer stigma. Survivors with discrimination experience at work had 1.98 (95% CI: [1.05, 3.74]) times higher risk of losing a job than survivors without it. Conclusions Survivors with cancer stigma were more likely to lose their jobs than survivors without cancer stigma. Considering its social and economic impact on job loss, comprehensive interventions for working cancer survivors as well as public campaigns against cancer stigma would be necessary.
Purpose: The purpose of this study was to identify the knowledge structure of cancer survivors. Methods: For data, 1099 articles were collected, with 365 keywords as a Noun phrase extracted from the articles and standardized for analyzing. Co-occurrence matrix were generated via a cosine similarity measure, and then the network analysis and visualization using PFNet and NodeXL were applied to visualize intellectual interchanges among keywords. Results: According to the result of the content analysis and the cluster analysis of author keywords from cancer survivors articles, keywords such as 'quality of life', 'breast neoplasms', 'cancer survivors', 'neoplasms', 'exercise' had a high degree centrality. The 9 most important research topics concerning cancer survivors were 'cancer-related symptoms and nursing', 'cancer treatment-related issues', 'late effects', 'psychosocial issues', 'healthy living managements', 'social supports', 'palliative cares', 'research methodology', and 'research participants'. Conclusion: Through this study, the knowledge structure of cancer survivors was identified. The 9 topics identified in this study can provide useful research direction for the development of nursing in cancer survivor research areas. The Network analysis used in this study will be useful for identifying the knowledge structure and identifying general views and current cancer survivor research trends.
Background Cancer patients’ return to work is a growing aspect of survivorship care, yet limited studies have been conducted in Korea to understand the work-related experience of cancer patients. The purpose of this study was to understand the unmet needs of cancer patients and identify the necessary factors to develop a vocational intervention program based on cancer patients’ work-related experience after cancer diagnosis. Methods Semi-structured individual in-depth interviews were conducted with 50 cancer patients who were working at the time of diagnosis at a university hospital in Seoul, South Korea from July to September of 2017. Interview data were analyzed using qualitative content analysis. Results ‘The changes patients experienced after cancer diagnosis’ were categorized into Personal and socio-environmental changes. ‘Personal changes’ were changes within the patient that were further divided into ‘physical’, ‘psychological’ and ‘spiritual’ changes while ‘socio-environmental changes’ were changes in either ‘attitude’ and ‘relationship’ of other people cancer patients encountered. In addition to these post-diagnosis changes, the following 4 major factors related to return-to-work were identified to affect patients’ experience: ‘fear of cancer recurrence’, ‘financial status’, ‘informational support’, and ‘job-related work environment’. Conclusion Cancer patients’ working status was determined by personal and socio-environmental changes after the cancer diagnosis which as well as psychological distress and practical issues such as fear of cancer recurrence, financial burden, and work environment. Educational materials and intervention programs informing patients on these changes and factors may facilitate their return-to-work after diagnosis.
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