Risk for unemployment of cancer survivors: A Danish cohort study

Carlsen, Kathrine; Dalton, Susanne Oksbjerg; Diderichsen, Finn; Johansen, Christoffer

doi:10.1016/j.ejca.2008.05.020

Cited by 95 publications

(106 citation statements)

References 19 publications

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“…Several factors may contribute to these findings. First, people of low education levels and manual workers are more likely to lose their jobs following the diagnosis of malignant tumors (Carlsen et al, 2008a;2008b). Therefore, to avoid unemployment, they choose not to take advantage of post-surgery treatment options.…”

Section: Discussionmentioning

confidence: 99%

Socio-economic Factors Influencing Tumor Presentation and Treatment Options in Chinese Breast Cancer Patients

Wang

Li²,

Zhou³

et al. 2013

Asian Pacific Journal of Cancer Prevention

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The impact of income and education level on the clinical and pathologic characteristics, implementation of clinical breast examination (CBE), and treatment patterns of a small population of Chinese female breast cancer patients was studeied in order to provide a theoretical basis and statistical reference for further nationwide research. We included 484 pathologically confirmed female primary breast cancer inpatients of the First Affiliated Hospital of Medical College of Xi'an Jiaotong University from February 2003 to January 2004. All cases were reviewed and relevant information was collected using a designed case report form (CRF). Chisquare tests, rank-sum tests, and Fisher's exact tests were used in the analysis. Our analysis showed that: (1) women in different occupation groups had significant differences in tumor size, pre-operative mammography, surgical options, post-operative estrogen receptor (ER), progestin receptor (PR) and human epidermal growth factor receptor 2 (Her2) status, and post-operative radiotherapy and chemotherapy (P < 0.05); and (2) women with different education levels had statistically significant differences in tumor size, post-operative ER, PR and Her2 status, and post-operative chemotherapy, radiotherapy, and endocrine therapy (P < 0.05). In Xi'an, China, women in low-income occupations or with low education levels are more likely to have advanced tumor stages at presentation, lower implementation rate of clinical breast examination, and less treatment.

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Section: Discussionmentioning

confidence: 99%

Socio-economic Factors Influencing Tumor Presentation and Treatment Options in Chinese Breast Cancer Patients

Wang

Li²,

Zhou³

et al. 2013

Asian Pacific Journal of Cancer Prevention

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“…[23][24][25][26][29][30][31]38 To quantify the rehabilitation services used by cancer survivors, cancer registry databases can be linked with those of the structures providing rehabilitation services. For example, a Danish study combined cancer registry and population-based databases to assess hospitalisation for depression as a measure of the psychological burden experienced by cancer patients.…”

Section: Discussionmentioning

confidence: 99%

“…[23][24][25][26] Cancer registry data were linked to census data in Finland, 27,28 with the Directorate of Taxes database in Norway, 29 and with the Labour Market Research Database in Denmark. 30,31 However, these methods of study cannot be extended to other countries because the occupational databases exploited by these studies do not exist in most other European countries.…”

Section: Indicators On Measures Of Rehabilitation Successmentioning

confidence: 99%

Cancer rehabilitation indicators for Europe

Baili

Hoekstra-Weebers²,

Hoof

et al. 2013

European Journal of Cancer

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Little is known of cancer rehabilitation needs in Europe. EUROCHIP-3 organised a group of experts to propose a list of population-based indicators used for describing cancer rehabilitation across Europe. The aim of this study is to present and discuss these indicators. A EUROCHIP-3 expert panel reached agreement on two types of indicators. (a) Cancer prevalence indicators. These were proposed as a means of characterising the burden of cancer rehabilitation needs by time from diagnosis and patient health status. These indicators can be estimated from cancer registry data or by collecting data on follow-up and treatments for samples of cases archived in cancer registries. (b) Indicators of rehabilitation success. These include: return to work, quality of life, and satisfaction of specific rehabilitation needs. Studies can be performed to estimate these indicators in individual countries, but to obtain comparable data across European countries it will be necessary to administer a questionnaire to randomly selected samples of patients from population-based cancer registry databases. However, three factors complicate questionnaire studies: patients may not be aware that they have cancer; incomplete participation in surveys could lead to bias; and national confidentiality laws in some cases prohibit cancer registries from approaching patients. Although these studies are expensive and difficult to perform, but as the number of cancer survivors increases, it is important to document their needs in order to provide information on cancer control.

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“…Previous research suggested that cancer increases the risk of unemployment among survivors compared to healthy controls (20)(21)(22). On average, 63.5% of cancer survivors (range 24-94%) return to work (17).…”

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confidence: 99%

Predictors of employment among cancer survivors after medical rehabilitation – a prospective study

Mehnert¹,

Koch²

2012

Scand J Work Environ Health

124

101

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Objectives This study aimed to (i) investigate cancer survivor's employment status one year after the completion of a medical rehabilitation program and (ii) identify demographic, cancer, and psychosocial, treatment-, and work-related predictors of return to work (RTW) and time until RTW.Methods A total of 1520 eligible patients were consecutively recruited on average 11 months post diagnosis and assessed at the beginning (t 0 ) (N=1148) and end of rehabilitation (t 1 ) (N=1060) and 12 months after rehabilitation (t 2 ) (N=750). Participants completed validated measures assessing functional impairments, pain, anxiety, depression, quality of life, social support, and work-related characteristics including work ability, sick leave absence, job requirements, work satisfaction, self-perceived employer accommodation, and perceived job loss. Physicians estimated the degree of cancer-entity-specific functional impairment. ResultsIn a mean time of six weeks after rehabilitation, 568 patients (76%) had returned to work. The multivariate hierarchical logistic regression analysis indicated that baseline RTW intention [odds ratio (OR) 6.22, 95% confidence interval (95% CI) 1.98-19.51], perceived employer accommodation (OR 1.93, 95% CI 0.33-0.99), high job requirements (OR=1.84, 95% CI 1.02-3.30), cancer recurrence or progression (OR=0.27, 95% CI 0.12 -0.63), baseline sick leave absence (OR=0.26, 95% CI 0.09-0.77), and problematic social interactions (OR=0.58, 95% CI 0.33-0.99) emerged as significant predictors for RTW. The explained variance of the total model was Nagelkerke's R²=0.59 (P<0.001). ConclusionOur findings emphasize the high relevance of motivational factors. Occupational motivation and skepticism towards returning to work should be carefully assessed at the planning of the rehabilitation program.

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Risk for unemployment of cancer survivors: A Danish cohort study

Cited by 95 publications

References 19 publications

Socio-economic Factors Influencing Tumor Presentation and Treatment Options in Chinese Breast Cancer Patients

Socio-economic Factors Influencing Tumor Presentation and Treatment Options in Chinese Breast Cancer Patients

Cancer rehabilitation indicators for Europe

Predictors of employment among cancer survivors after medical rehabilitation – a prospective study

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