Sickness Absence and Disability Pension After Breast Cancer Diagnosis: A 5-Year Nationwide Cohort Study

Purpose To explore future diagnosis-specific sickness absence and disability pension among women with breast cancer compared with women without breast cancer. Also, to examine associations with disease-related and sociodemographic factors among those with breast cancer. Methods Longitudinal register data on 3,547 women living in Sweden (age 20 to 65 years) who were first diagnosed with breast cancer in 2005, and a matched comparison cohort (n = 14,188), were analyzed for the annual prevalence of diagnosis-specific sickness absence and disability pension over 5 years. Logistic regressions were used to explore associations of disease-related and sociodemographic factors with future sickness absence and disability pension among women with breast cancer. Results Immediately after being diagnosed with breast cancer, the proportion of women with sickness absence was high but decreased continuously from the 1st through 5th year after diagnosis (71%, 40%, 30%, 22%, and 19%, respectively). In comparison, the range for women without breast cancer was 17% to 11%, respectively. The higher prevalence of sickness absence after breast cancer was mainly a result of breast cancer diagnosis, not a mental diagnosis, or other somatic diagnoses. Advanced cancer at diagnosis, > 90 days sickness absence before diagnosis, low education, and being born outside Sweden were associated with higher odds ratios for sickness absence and disability pension (odds ratio range, 1.40 to 6.45). Conclusion The level of sickness absence increased substantially in women with breast cancer during the first year after diagnosis and approached the level of breast cancer–free women in the following years; however, even in the first year, most women were not on sickness absence for a substantial time, and even in high-risk groups, many were not on sickness absence or disability pension in the following years. Information about relatively low future sickness absence and disability pension levels can be used by patients when planning their work, by health care professionals, and by social insurance officers. Employers and Occupational Health Services need this information to adequately handle workplace adjustments.

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

BMC Public Health ◽

10.1186/s12889-021-10703-1 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Pia K. Kvillemo ◽

Lingjing Chen ◽

Matteo Bottai ◽

Paolo Frumento ◽

Gino Almondo ◽

...

Keyword(s):

Breast Cancer ◽

Sickness Absence ◽

Disability Pension ◽

Social Insurance ◽

Statistical Significance ◽

Sociodemographic Factors ◽

Population Based ◽

First Year ◽

Before And After ◽

Diagnosis Date

Abstract 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 and declined over the next 2 years to proportions before diagnosis. At the time of BC diagnosis, half of the women began a new SA spell > 14 days with cancer, cancer-related, or mental diagnosis. Disease-related and sociodemographic factors including occupational sector, living area, age, cancer stage, educational level, and number of previous SA days showed statistical significance (p < 0.05) in predicting a new SA around BC diagnosis. By using these factors, it was possible to correctly predict 67% of the new SA spell. Conclusions SA among women with BC was elevated mainly in the first year after diagnosis. New SA following BC diagnosis can accurately be predicted.

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

10.21203/rs.2.13373/v2 ◽

2019 ◽

Author(s):

Pia Kvillemo ◽

Lingjing Chen ◽

Matteo Bottai ◽

Paolo Frumento ◽

Ellenor Mittendorfer-Rutz ◽

...

Keyword(s):

Breast Cancer ◽

Sickness Absence ◽

Disability Pension ◽

Social Insurance ◽

Statistical Significance ◽

Sociodemographic Factors ◽

Population Based ◽

First Year ◽

Before And After ◽

Diagnosis Date

Abstract Women’s return to work after diagnosis of breast cancer (BC) are 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 multiple national registers. Particularly, information on SA and DP was obtained from the National Social Insurance Agency’s database. Descriptive statistics on SA and DP two years before and three 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 and declined over the next two years to proportions before diagnosis. At the time of BC diagnosis, half of the women began a new SA spell >14 days with cancer, cancer-related, or mental diagnosis. Disease-related and sociodemographic factors including occupational sector, living area, age, cancer stage, educational level, and number of previous SA days showed statistical significance (p<0.05) in predicting a new SA around BC diagnosis. By using these factors, it was possible to correctly predict 67% of the new SA spell. Conclusions: SA among women with BC was elevated mainly in the first year after diagnosis. New SA following BC diagnosis can accurately be predicted.

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

10.21203/rs.2.13373/v1 ◽

2019 ◽

Author(s):

Pia Kvillemo ◽

Lingjing Chen ◽

Matteo Bottai ◽

Paolo Frumento ◽

Ellenor Mittendorfer-Rutz ◽

...

Keyword(s):

Breast Cancer ◽

Sickness Absence ◽

Disability Pension ◽

Social Insurance ◽

Statistical Significance ◽

Sociodemographic Factors ◽

Population Based ◽

First Year ◽

Before And After ◽

Diagnosis Date

Abstract Background: Women’s return to work after diagnosis of breast cancer (BC) are becoming more prevalent. However, register-based national investigation on sickness absence (SA) and disability pension (DP) in BC women is lacking. Methods: 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. 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 multiple national registers. Particularly, information on SA and DP was obtained from the National Social Insurance Agency’s database. Descriptive statistics on SA and DP before and after the BC diagnosis were performed. The risk of being on sickness with 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 and declined over the next two years to proportions before diagnosis. At the time of BC diagnosis, half of the women began a new SA spell >14 days with cancer, cancer-related, or mental diagnosis. Disease-related and sociodemographic factors including occupational sector, living area, age, cancer stage, educational level, and number of previous SA days showed statistical significance (p<0.05) in predicting a new SA around BC diagnosis. By using these factors, it was possible to correctly predict 67% of the new SA spell. Conclusion: SA among women with BC was elevated mainly in the first year after diagnosis. New SA following BC diagnosis can accurately be predicted

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Trajectories of sickness absence and disability pension in the 2 years before and 3 years after breast cancer diagnosis: A Swedish longitudinal population‐based cohort study

Cancer ◽

10.1002/cncr.32820 ◽

2020 ◽

Vol 126 (12) ◽

pp. 2883-2891

Author(s):

Lingjing Chen ◽

Kristina A. E. Alexanderson

Keyword(s):

Breast Cancer ◽

Cohort Study ◽

Sickness Absence ◽

Cancer Diagnosis ◽

Disability Pension ◽

Breast Cancer Diagnosis ◽

Population Based

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Longitudinal Patterns of Weight Gain after Breast Cancer Diagnosis: Observations beyond the First Year

The Breast Journal ◽

10.1111/j.1524-4741.2007.00419.x ◽

2007 ◽

Vol 13 (3) ◽

pp. 258-265 ◽

Cited By ~ 73

Author(s):

Grace Makari-Judson ◽

Christopher H. Judson ◽

Wilson C. Mertens

Keyword(s):

Breast Cancer ◽

Weight Gain ◽

Cancer Diagnosis ◽

Breast Cancer Diagnosis ◽

First Year ◽

Longitudinal Patterns

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Informational needs and the quality of life of patients in their first year after metastatic breast cancer diagnosis

The Journal of Community and Supportive Oncology ◽

10.12788/jcso.0077 ◽

2014 ◽

Vol 12 (10) ◽

pp. 347-354 ◽

Cited By ~ 9

Author(s):

Davinia Seah ◽

Nancy Lin ◽

Carolyn Curley ◽

Eric Winer ◽

Ann Partridge

Keyword(s):

Breast Cancer ◽

Quality Of Life ◽

Metastatic Breast Cancer ◽

Cancer Diagnosis ◽

Metastatic Breast ◽

Breast Cancer Diagnosis ◽

First Year ◽

Informational Needs

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Mammography use in breast cancer survivors: An administrative claims study.

Journal of Clinical Oncology ◽

10.1200/jco.2017.35.15_suppl.6531 ◽

2017 ◽

Vol 35 (15_suppl) ◽

pp. 6531-6531 ◽

Cited By ~ 1

Author(s):

Kathryn Jean Ruddy ◽

Lindsey R. Sangaralingham ◽

Heather B. Neuman ◽

Caprice Christian Greenberg ◽

Rachel A. Freedman ◽

...

Keyword(s):

Breast Cancer ◽

Cancer Survivors ◽

Cancer Diagnosis ◽

Breast Cancer Survivors ◽

Breast Tissue ◽

Early Stage ◽

Breast Cancer Diagnosis ◽

First Year ◽

Administrative Claims ◽

Mammography Use

6531 Background: Annual mammography is recommended to screen residual breast tissue for new cancers and recurrent disease after treatment for early stage breast cancer. This study aimed to assess mammography rates over time in breast cancer survivors. Methods: We used administrative claims data from a large U.S. commercial insurance database, OptumLabs, to retrospectively identify privately- and Medicare Advantage-insured women with operable breast cancer who had residual breast tissue after definitive breast surgery between 2006 and 2015. We required coverage for at least 13 months following surgery. For each subsequent 13-month time period, we only included women without a loss of coverage, bilateral mastectomy, metastatic breast cancer diagnosis, or non-breast cancer diagnosis. We calculated the proportion of patients who had a mammogram during each 13-month period following breast surgery. We used multivariable logistic regression to test for factors associated with mammography in the first 13 months. Results: The cohort included 26,011 women followed for a median of 2.9 years (IQR 1.9-4.6) after surgery; 63.1% were less than 65 years of age, and 74.4% were white. In their first year of follow-up, 86% underwent mammography, but by year 7, this decreased to 73%. Fewer than 1% underwent MRI instead of mammography. In multivariable analysis, mammograms were less likely during the first year after surgery among women aged < 50 years (odds ratio [OR], 0.7; 95% confidence interval [CI], 0.6 to 0.8), African Americans (OR, 0.7; 95% CI, 0.7 to 0.8), patients who underwent mastectomy (OR, 0.7; 95% CI, 0.6 to 0.7), and patients residing in the Western part of the country (OR, 0.9; 95% CI, 0.7 to 0.9). Those with 1-2 comorbidities were more likely (OR, 1.1; 95% CI 1.1-1.2) than those with none to have a mammogram during that period. Mammography use did not differ significantly by year of diagnosis (2006-2015). Conclusions: Even in an insured cohort, a substantial proportion of breast cancer survivors do not undergo annual surveillance mammography. Mammography use falls as the time from the early stage breast cancer diagnosis increases. Understanding factors associated with lack of mammographic screening may help improve survivorship care.

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