Unemployment among breast cancer survivors (original) (raw)

Factors associated with the employment status of breast cancer survivors: a single center cross-sectional study

International Journal Of Community Medicine And Public Health, 2020

Background: Breast cancer survivors constitute a big proportion among all female cancer survivors and the employment status of breast cancer survivors is an important public health issue. The aim of the study is to evaluate the effects of some demographic properties and the treatment modalities used for breast cancer on patients’ employment status.Methods: This is a single-center cross-sectional study. We assessed 2550 patients with breast cancer for eligibility. Face to face interview was performed with 688 breast cancer survivors. A total of 249 patients who had an income-generating job before diagnosis and completed at least 1 year after surgery and/or adjuvant radiotherapy, chemotherapy for breast cancer were included in the study. The job loss rate of the patients was evaluated according to their demographics, clinical features and treatment methods applied for breast cancer. Univariate and multivariate analyses were used in order to show these associations.Results: The job los...

Impact of Breast Cancer Treatment on Employment: Results of a Multicenter Prospective Cohort Study (CANTO

Journal of Clinical Oncology

PURPOSE Adverse effects of breast cancer treatment can negatively affect survivors' work ability. Previous reports lacked detailed clinical data or health-related patient-reported outcomes (PROs) and did not prospectively assess the combined impact of treatment and related sequelae on employment. METHODS We used a French prospective clinical cohort of patients with stage I-III breast cancer including 1,874 women who were working and $ 5 years younger than legal retirement age (# 57 years) at breast cancer diagnosis. Our outcome was nonreturn to work (non-RTW) 2 years after diagnosis. Independent variables included treatment characteristics as well as toxicities (Common Toxicity Criteria Adverse Events [CTCAE] v4) and PROs (European Organization for Research and Treatment of Cancer [EORTC] Quality of life Questionnaires , Breast cancer module [QLQ-BR23] and Fatigue module [QLQ-FA12], Hospital Anxiety and Depression Scale) collected 1 year after diagnosis. Logistic regression models assessed correlates of non-RTW, adjusting for age, stage, comorbidities, and socioeconomic covariates. RESULTS Two years after diagnosis, 21% of patients had not returned to work. Odds of non-RTW were significantly increased among patients treated with combinations of chemotherapy and trastuzumab (odds ratio [OR] v chemotherapy-hormonotherapy: for chemotherapy-trastuzumab, 2.01; 95% CI, 1.18 to 3.44; for chemotherapy-trastuzumab-hormonotherapy, 1.62; 95% CI, 1.10 to 2.41). Other significant associations with non-RTW included grade $ 3 CTCAE toxicities (OR v no, 1.59; 95% CI, 1.15 to 2.18), arm morbidity (OR v no, 1.59; 95% CI, 1.19 to 2.13), anxiety (OR v no, 1.47; 95% CI, 1.02 to 2.11), and depression (OR v no, 2.29; 95% CI, 1.34 to 3.91). CONCLUSION Receipt of systemic therapy combinations including trastuzumab was associated with increased odds of non-RTW. Likelihood of unemployment was also higher among patients who reported severe physical and psychological symptoms. This comprehensive study identifies potentially vulnerable patients and warrants supportive interventional strategies to facilitate their RTW.

Changes in employment status up to 5 years after breast cancer diagnosis: A prospective cohort study

The Breast, 2019

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Sociodemographic and disease-related determinants of return to work among women with breast cancer: a German longitudinal cohort study

BMC Health Services Research, 2018

Background: Return to work (RTW) is a key parameter of outcome quality that ensures social participation. Therefore, this study analyses the sociodemographic and disease-related determinants of RTW among newly diagnosed breast cancer patients. Methods: In a prospective, multicentre cohort study, breast cancer patients were surveyed three times: directly after surgery, after 10 weeks, and after 40 weeks. Logistic regression analysis was applied to estimate the association of RTW at 40 weeks following discharge with sociodemographic and disease-related characteristics (n = 577). Results: The sociodemographic variables "entrance certificate at a university of applied science" compared to "university entrance certificate" (OR = 3.1, 95%-CI = 1.2-8.1), age group "55-59 years" compared to "18-44 years" (OR = 3.2, 95%-CI = 1.2-8.4) and "having children" (OR = 2.8, 95%-CI = 1.2-6.2) as well as the disease-related variables "rehabilitation" (OR = 0.5, 95%-CI = 0.3-0.9), self-rated health "good" and "excellent" compared to "bad" (OR = 2.7, 95%-CI = 1.4-5.5; OR = 11.6, 95%-CI = 4.2-31.8) and the UICC-classification "stage II" and "stage III/IV" in comparison to "stage 0/I" (OR = 0.5, 95%-CI = 0.3-0.8; OR = 0.2, 95%-CI = 0.1-0.5) significantly affect RTW among breast cancer patients (Nagelkerke's Pseudo-R 2 = 0.275). Conclusions: The findings show that significant differences in RTW exist between patient groups and suggest that RTW issues must be addressed more effectively before, during and after treatment. For future research on RTW in Germany, longitudinal studies with a follow-up of several years are necessary. Information and support deficits should be tackled by social services or breast care nurses.

Unemployment Status Subsequent to Cancer Diagnosis and Therapies: A Systematic Review and Meta-Analysis

Cancers

The purpose of our study is to examine whether cancer and treatments are associated with job loss or changes in employment status. Eight prospective studies were included in the systematic review and meta-analysis, with a population aged 18–65 years, analyzing treatment regimen and psychophysical and social status in post-cancer follow-up of at least 2 years. In the meta-analysis, a comparison was made between recovered unemployed cases and cases from a standard reference population. Results are summarized graphically using a forest plot. We showed that cancer and subsequent treatment are risk factors for unemployment with an overall relative risk of 7.24 (lnRR: 1.98, 95% CI: 1.32–2.63) or for change in employment status. Individuals undergoing chemotherapy and/or radiation treatment and those with brain and colorectal cancers are more likely to develop disabilities that negatively affect the risk of unemployment. Finally, variables such as low level education, female sex, older age...

Trends in return to work of breast cancer survivors

Breast Cancer Research and Treatment, 2011

Purpose: Most women interrupt their work activities during the treatment of cancer. This study investigated return to work (RTW) after treatment of breast cancer in the period from Methods: ArboNed Occupational Health Services records the sickness absence and RTW data of more than one million workers of whom approximately 40% are women. Incident cases of sickness absence due to breast cancer (ICD-10 code C50) were selected from the ArboNed register. Proportions of partial RTW, with 50% of the earnings before sickness absence, and full RTW were determined one year after diagnosis. Trends in partial RTW and full RTW were examined by Chi-square trend analysis. The time to partial RTW and full RTW was analysed by Cox regression and stratified by age (<40 years, 40-50 years and >50 years).

Self-reported work ability in long-term breast cancer survivors. A population-based questionnaire study in Denmark

Acta Oncologica, 2013

Background . Although up to 80% of women can return to work after treatment for breast cancer, maintaining an affi liation to the labour market may be a challenge, as shown by the fact that the risks for unemployment and early retirement are increased in the years after treatment of cancer. It is important to understand the work problems experienced by cancer survivors, including their ability to work. The aim of this study was to determine whether the ability of long-term breast cancer survivors to work was different from that of a cancer-free control group. Material and methods . In this populationbased cross-sectional questionnaire study, 776 breast cancer survivors were matched with 1552 cancer-free women. Women with breast cancer diagnosed in 1997 -2000 were identifi ed in the Danish Cancer Registry, and the cancer-free controls were sampled from the Central Population Registry. Work ability was measured from a single question on the ' work ability index ' . Furthermore, the questionnaire contained questions on socioeconomic factors, health-related factors and factors related to the workplace. Results . The overall response rate was 57% (493 survivors and 830 controls). After exclusions, the study population consisted of 170 survivors and 391 controls. Women with a diagnosis of breast cancer who had survived at least fi ve years and had returned to work reported signifi cantly poorer work ability than cancer-free controls. In models with adjustment for socioeconomic factors, health-related factors and support at work, the factors most strongly associated with impaired work ability were low income, fatigue and little help and support from a supervisor. Conclusion . Our fi ndings indicate that the work ability of long-term breast cancer survivors who are disease-free and back in work is impaired in comparison with that of cancer-free women.

Sickness absence and disability pension among women with breast cancer: a population-based cohort study from Sweden

BMC Public Health

Background Women’s return to work after diagnosis of breast cancer (BC) is becoming more prevalent. However, register-based national investigation on sickness absence (SA) and disability pension (DP) in BC women is lacking. The aim of the study was to explore SA and DP before and after a first BC diagnosis and the possibility to predict new cancer-related SA by using disease-related and sociodemographic factors. Methods A longitudinal register study of the 3536 women in Sweden aged 19–64 with a first BC diagnosis in 2010 was conducted by linkage of five nationwide registers. Particularly, detailed information on SA and DP was obtained from the National Social Insurance Agency. Descriptive statistics on SA and DP 2 years before through 3 years after the BC diagnosis were performed. The risk of having a new SA spell due to BC or BC-related diagnoses was modeled using logistic regression. Results The proportion of women with SA increased during the year following the BC diagnosis date ...