Dataset Information

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

ABSTRACT:

Background

In Japan, 55.5% of breast cancer survivors (BCSs) are of working age, so various perspectives regarding return to work (RTW) after cancer diagnosis need to be considered. Therefore, this study aimed to clarify the risk factors for resignation and taking sick leave (SL) among BCSs in continued employment at the time of diagnosis.

Methods

A web-based retrospective cross-sectional survey was conducted on BCSs using data from a 2018 Japanese national research project (Endo-Han) commissioned by the Ministry of Health, Labour and Welfare of Japan. The subjects were women aged 18-69?years who had been diagnosed with breast cancer for the first time at least 1?year previously. The risk factors for resignation and taking SL after breast cancer diagnosis, including age at diagnosis, education level, cancer stage, surgery, chemotherapy, radiotherapy, employment status, and occupational type, were then analyzed using a logistic regression model.

Results

In total, 40 (14.9%) of 269 BCSs quit their jobs at least 1?year after being diagnosed with breast cancer. The results of the multivariable analysis indicated that lower education level (odds ratio [OR]: 3.802; 95% confidence interval [CI]: 1.233-11.729), taking SL (OR: 2.514; 95%CI: 1.202-5.261), and younger age at diagnosis (OR: 0.470; 95%CI: 0.221-0.998) were predictors of resignation. Of 229 patients who continued working, SL was taken by 72 (31.4%). In addition, undergoing surgery was found to be a predictor of taking SL (OR: 8.311; 95%CI: 1.007-68.621).

Conclusions

In total, 40 (14.9%) of 269 BCSs quit their jobs at least 1?year after being diagnosed with breast cancer. The results of this study indicated that younger age, lower education level, and taking SL were predictors of resignation after breast cancer diagnosis.

SUBMITTER: Mitsui K

PROVIDER: S-EPMC7809813 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Publications

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

Mitsui Kiyomi K Endo Motoki M Imai Yuya Y Ueda Yuito Y Ogawa Hiroko H Muto Go G Yan Yan Y Deshpande Gautam A GA Terao Yasuhisa Y Takeda Satoru S Tanigawa Takeshi T Nishimura Katsuji K Hayashi Kazuhiko K Saito Mitsue M Kokaze Akatsuki A

BMC public health 20210114 1

<h4>Background</h4>In Japan, 55.5% of breast cancer survivors (BCSs) are of working age, so various perspectives regarding return to work (RTW) after cancer diagnosis need to be considered. Therefore, this study aimed to clarify the risk factors for resignation and taking sick leave (SL) among BCSs in continued employment at the time of diagnosis.<h4>Methods</h4>A web-based retrospective cross-sectional survey was conducted on BCSs using data from a 2018 Japanese national research project (Endo- ...[more]

PMID: 33446165

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Project description:PurposeTo investigate the informational gap and predictors of information-seeking behaviour amongst survivors to inform survivorship planning and supportive cancer services for the population.MethodsA national cross-sectional survey of breast and colorectal cancer survivors was conducted in 2020 using a representative sample of those diagnosed in 2015/2016 as recruited from Jordan's Cancer Registry (JCR). Participants responded to a 3-domain questionnaire: background information (9 items); information typologies (13 items) measured on a 5-point Likert scale (from very interested to extremely not interested); timing of developing the information needs (13 items) (ranging from immediately after diagnosis to after recurrence). Logistic regression was used to determine the independent association between demographics and information-seeking behaviour amongst survivors. The chi-square test was employed to examine the association between categorical variables. ANOVA was used to compare the means of interest in cancer-related information between more than two groups.ResultsResults show a relatively high overall information needs amongst survivors (3.68 ± 1.53). The most prevalent typologies were cancer staging (3.77 ± 1.593), treatment options (3.76 ± 1.55), and doctors' communications (3.73 ± 1.62). ANOVA revealed no statistically significant differences between cancer types. 55.8% of patients desired information immediately after diagnosis and 23.3% developed their needs within 2 months. There was a statistically significant difference across all information typologies and educational attainment, age groups, monthly income, and employment (P < 0.05). Age was the only independent predictor of high information requirements amongst cancer survivors.ConclusionSurvivors reported high cancer information needs, suggesting that they may have been under-informed. Effective health communication programmes should be implemented to meet the informational needs.

Project description:BackgroundBy the end of 2022, nearly 20 million workers in the United States have gained paid-sick-leave coverage from mandates that require employers to provide benefits to qualified workers, including paid time off for the use of preventive services. Although the lack of paid-sick-leave coverage may hinder access to preventive care, current evidence is insufficient to draw meaningful conclusions about its relationship to cancer screening.MethodsWe examined the association between paid-sick-leave mandates and screening for breast and colorectal cancers by comparing changes in 12- and 24-month rates of colorectal-cancer screening and mammography between workers residing in metropolitan statistical areas (MSAs) that have been affected by paid-sick-leave mandates (exposed MSAs) and workers residing in unexposed MSAs. The comparisons were conducted with the use of administrative medical-claims data for approximately 2 million private-sector employees from 2012 through 2019.ResultsPaid-sick-leave mandates were present in 61 MSAs in our sample. Screening rates were similar in the exposed and unexposed MSAs before mandate adoption. In the adjusted analysis, cancer-screening rates were higher among workers residing in exposed MSAs than among those in unexposed MSAs by 1.31 percentage points (95% confidence interval [CI], 0.28 to 2.34) for 12-month colorectal cancer screening, 1.56 percentage points (95% CI, 0.33 to 2.79) for 24-month colorectal cancer screening, 1.22 percentage points (95% CI, -0.20 to 2.64) for 12-month mammography, and 2.07 percentage points (95% CI, 0.15 to 3.99) for 24-month mammography.ConclusionsIn a sample of private-sector workers in the United States, cancer-screening rates were higher among those residing in MSAs exposed to paid-sick-leave mandates than among those residing in unexposed MSAs. Our results suggest that a lack of paid-sick-leave coverage presents a barrier to cancer screening. (Funded by the National Cancer Institute.).

Dataset Information

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

Background

Methods

Results

Conclusions

Publications

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

Similar Datasets

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