Literature DB >> 31721037

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

Motoki Endo1, Go Muto2, Yuya Imai3, Kiyomi Mitsui4, Katsuji Nishimura5, Kazuhiko Hayashi6.   

Abstract

PURPOSE: In Japan, due to the increased incidence of cancer among the working population, it has become more important to support employees to achieve a balance between cancer treatment and work. This study aimed to clarify the predictors of resigning from employment after being diagnosed with cancer (post-cancer diagnosis [PCD] resignation) among Japanese employees.
METHODS: As part of a Japanese national research project (Endo-Han), the investigators conducted a web-based survey of cancer survivors (CSs) in 2017. The investigators analyzed the risk factors for PCD resignation using a logistic regression model, including age at diagnosis, sex, cancer type, cancer stage, year of diagnosis, whether the patient held a managerial role, type of employment, and company size.
RESULTS: Of 750 employed Japanese CSs, 93 (12.4%) resigned from their jobs. The non-managers resigned more often (14.6%) than the managers (7.6%) (p = 0.007). The temporary workers exhibited the highest PCD resignation rates (22.2%), while the PCD resignation rates of the self-employed workers and permanent workers were 15.2% and 7.6%, respectively (p < 0.001). As the result of multivariate analysis, being female (odds ratio [OR], 3.67; 95%CI, 1.71-7.87), having hematological cancer (OR, 4.23; 95%CI, 1.37-13.04), having advanced cancer (OR, 2.48; 95%CI, 1.52-4.03), and being a temporary worker (OR, 2.51; 95%CI, 1.40-4.50) were identified as predictors of PCD resignation.
CONCLUSIONS: In total, 12.4% of Japanese employees quit their jobs after being diagnosed with cancer. Being female or a temporary worker and having advanced cancer were identified as predictors of PCD resignation. Regarding cancer type, hematological cancer was most strongly associated with PCD resignation. IMPLICATION OF CANCER SURVIVORS: CSs who are females and temporary workers and have advanced cancer should be followed-up more carefully after cancer diagnosis for their work sustainability, by medical professionals, companies, and society.

Entities:  

Keywords:  Cancer site; Cancer survivors (CSs); Employment; Japanese employees; Post-cancer diagnosis (PCD) resignation

Mesh:

Year:  2019        PMID: 31721037     DOI: 10.1007/s11764-019-00827-0

Source DB:  PubMed          Journal:  J Cancer Surviv        ISSN: 1932-2259            Impact factor:   4.442


  36 in total

1.  Factors influencing return to work of cancer survivors: a population-based study in Italy.

Authors:  Sara Paltrinieri; Massimo Vicentini; Elisa Mazzini; Elena Ricchi; Stefania Fugazzaro; Pamela Mancuso; Paolo Giorgi Rossi; Stefania Costi
Journal:  Support Care Cancer       Date:  2019-05-25       Impact factor: 3.603

2.  Health status after cancer: does it matter which hospital you belong to?

Authors:  Jon H Fiva; Torbjørn Haegeland; Marte Rønning
Journal:  BMC Health Serv Res       Date:  2010-07-13       Impact factor: 2.655

Review 3.  Educational interventions for the management of cancer-related fatigue in adults.

Authors:  Sally Bennett; Amanda Pigott; Elaine M Beller; Terry Haines; Pamela Meredith; Christie Delaney
Journal:  Cochrane Database Syst Rev       Date:  2016-11-24

Review 4.  Employment and work-related issues in cancer survivors.

Authors:  Anja Mehnert
Journal:  Crit Rev Oncol Hematol       Date:  2010-02-08       Impact factor: 6.312

5.  Cancer survivorship and work: symptoms, supervisor response, co-worker disclosure and work adjustment.

Authors:  Joanna Pryce; Fehmidah Munir; Cheryl Haslam
Journal:  J Occup Rehabil       Date:  2007-03

Review 6.  Work in cancer survivors: a model for practice and research.

Authors:  Michael Feuerstein; Briana L Todd; Michal C Moskowitz; Gina L Bruns; Mallori R Stoler; Thomas Nassif; Xinhua Yu
Journal:  J Cancer Surviv       Date:  2010-10-14       Impact factor: 4.442

Review 7.  Cancer survivorship research: state of knowledge, challenges and opportunities.

Authors:  Noreen M Aziz
Journal:  Acta Oncol       Date:  2007       Impact factor: 4.089

8.  Review of Irish Civil Service sickness absence referrals 2008-10.

Authors:  S Brady; T O'Connell
Journal:  Occup Med (Lond)       Date:  2013-05-23       Impact factor: 1.611

9.  Breast cancer survival, work, and earnings.

Authors:  Cathy J Bradley; Heather L Bednarek; David Neumark
Journal:  J Health Econ       Date:  2002-09       Impact factor: 3.883

10.  Factors associated with (non-)participation of cancer survivors with job loss in a supportive return to work program.

Authors:  Martine P van Egmond; Johannes R Anema; Amika Singh; Allard J van der Beek; Saskia F A Duijts
Journal:  Support Care Cancer       Date:  2016-03-02       Impact factor: 3.603

View more
  3 in total

1.  Predictors of resignation and sick leave after cancer diagnosis among Japanese breast cancer survivors: a cross-sectional study.

Authors:  Kiyomi Mitsui; Motoki Endo; Yuya Imai; Yuito Ueda; Hiroko Ogawa; Go Muto; Yan Yan; Gautam A Deshpande; Yasuhisa Terao; Satoru Takeda; Takeshi Tanigawa; Katsuji Nishimura; Kazuhiko Hayashi; Mitsue Saito; Akatsuki Kokaze
Journal:  BMC Public Health       Date:  2021-01-14       Impact factor: 3.295

2.  Introduction to special section on: current topics in cancer survivorship and work.

Authors:  A G E M de Boer; M A Greidanus; C S Dewa; S F A Duijts; S J Tamminga
Journal:  J Cancer Surviv       Date:  2020-03-23       Impact factor: 4.442

3.  Depressive and anxiety symptoms among Japanese cancer survivors: Japan cancer survivorship research project.

Authors:  Motoki Endo; Kentaro Matsui; Rie Akaho; Kiyomi Mitsui; Yan Yan; Yuya Imai; Yuito Ueda; Go Muto; Gautam A Deshpande; Yasuhisa Terao; Satoru Takeda; Mitsue Saito; Kazuhiko Hayashi; Katsuji Nishimura; Takeshi Tanigawa
Journal:  BMC Cancer       Date:  2022-02-02       Impact factor: 4.430

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.