Literature DB >> 18323554

Job loss and re-employment of cancer patients in Korean employees: a nationwide retrospective cohort study.

Jae-Hyun Park1, Eun-Cheol Park, Jong-Hyock Park, Sung-Gyeong Kim, Sang-Yi Lee.   

Abstract

PURPOSE: The aim of this study was to investigate whether a diagnosis of cancer has an impact on the cancer patients' job loss and re-employment and to identify the factors affecting job loss and re-employment during 6 years of follow-up of Korean employees with cancer. PATIENTS AND METHODS: All employees except for the self-employed in Korea who were diagnosed with cancer during the 2001 calendar year (n = 5,396) were identified as the first baseline patients and were followed every 3 months over 6 years to estimate the time taken to job loss. Patients who lost their job within the first year after a diagnosis of cancer (n = 1,398) were identified as the second baseline patients and were followed up over 5 years to estimate the time taken to re-employment using the National Health Insurance claims data. Patient demographic, socioeconomic, and clinical variables were investigated as factors that affected job loss and re-employment.
RESULTS: Among the first baseline cancer patients, 47.0% lost their job, and among the second baseline patients, 30.5% were re-employed over 69 to 72 months of follow-up. Female sex, younger age and older age, company employee, lower income, blood cancer, and brain and CNS, lung, and liver cancer were significant predictors of early job loss or delayed re-employment.
CONCLUSION: 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.

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Year:  2008        PMID: 18323554     DOI: 10.1200/JCO.2007.14.2984

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  39 in total

1.  Self-reported depression in cancer survivors versus the general population: a population-based propensity score-matching analysis.

Authors:  Su Jung Lee; Kathleen B Cartmell
Journal:  Qual Life Res       Date:  2019-11-09       Impact factor: 4.147

2.  Prognostic factors of work disability in sick-listed cancer survivors.

Authors:  Peter van Muijen; Saskia F A Duijts; Allard J van der Beek; Johannes R Anema
Journal:  J Cancer Surviv       Date:  2013-06-26       Impact factor: 4.442

3.  Comparison of physical and mental health status between cancer survivors and the general population: a Korean population-based survey (KNHANES II-IV).

Authors:  Kyae Hyung Kim; Young Youn Cho; Dong Wook Shin; Ju Hyun Lee; Young-Jin Ko; Sang Min Park
Journal:  Support Care Cancer       Date:  2013-08-18       Impact factor: 3.603

4.  Predictors of post-cancer diagnosis resignation among Japanese cancer survivors.

Authors:  Motoki Endo; Go Muto; Yuya Imai; Kiyomi Mitsui; Katsuji Nishimura; Kazuhiko Hayashi
Journal:  J Cancer Surviv       Date:  2019-11-13       Impact factor: 4.442

5.  Rehabilitation using high-intensity physical training and long-term return-to-work in cancer survivors.

Authors:  Karin M Thijs; Angela G E M de Boer; Gerard Vreugdenhil; Agnès J van de Wouw; Saskia Houterman; Goof Schep
Journal:  J Occup Rehabil       Date:  2012-06

6.  Attitudes Toward Cancer and Cancer Patients in an Urban Iranian Population.

Authors:  Shervin Badihian; Eun-Kyung Choi; Im-Ryung Kim; Aidin Parnia; Navid Manouchehri; Negin Badihian; Jila M Tanha; Eliseo Guallar; Juhee Cho
Journal:  Oncologist       Date:  2017-05-30

7.  Employment among survivors of lung cancer and colorectal cancer.

Authors:  Craig C Earle; Yves Chretien; Carl Morris; John Z Ayanian; Nancy L Keating; Linnea A Polgreen; Robert Wallace; Patricia A Ganz; Jane C Weeks
Journal:  J Clin Oncol       Date:  2010-03-01       Impact factor: 44.544

8.  Changes in employment and household income during the 24 months following a cancer diagnosis.

Authors:  Jill A Bennett; Paul Brown; Linda Cameron; Lisa C Whitehead; David Porter; Katherine M McPherson
Journal:  Support Care Cancer       Date:  2008-11-27       Impact factor: 3.603

9.  Factors influencing changes in employment among women with newly diagnosed breast cancer.

Authors:  Michael J Hassett; A James O'Malley; Nancy L Keating
Journal:  Cancer       Date:  2009-06-15       Impact factor: 6.860

Review 10.  Reintegrating cancer patients into the workplace.

Authors:  Oliver Rick; Eva-Maria Kalusche; Timm Dauelsberg; Volker König; Christiane Korsukéwitz; Ulf Seifart
Journal:  Dtsch Arztebl Int       Date:  2012-10-19       Impact factor: 5.594

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