The long-term financial consequences of breast cancer: a Danish registry-based cohort study

Financial outcomes of adolescent and young adult cancer survivors: a longitudinal population-based registry study

BACKGROUND

The patterns and determinants of long-term income among adolescent and young adult (AYA) cancer survivors, and the differences compared with peers, have not yet been fully explored. This study investigated the long-term effects of cancer on the income of AYA cancer survivors.

METHODS

The Netherlands Cancer Registry identified all AYA cancer patients (aged 18-39 years) diagnosed in 2013 and alive 5 years postdiagnosis. Clinical data of the selected AYA patients were linked to individual, administrative real-world labor market data of Statistics Netherlands. The control group consisted of a random sample of individuals of the same age, sex, and migration background without cancer. Data on 2434 AYA cancer patients and 9736 controls were collected annually from 2011 until 2019. Changes in income level were measured and compared with the control group using difference-in-difference regression models.

RESULTS

AYA cancer survivors experience, on average, an 8.5% decrease in annual earnings, relative to the control population. The effects are statistically significant and permanent (P < .01). Younger AYAs (those aged 18-25 years 15.5% income reduction), married cancer survivors (12.3%), females (11.6%), those diagnosed with stage IV disease (38.1%), and central nervous system (15.7%) cancer patients experienced the largest decline in income, on average, relative to controls, all else constant.

CONCLUSION

Although dependent on the sociodemographic and clinical characteristics, a cancer diagnosis at AYA age has significant implications on the income of cancer patients. Awareness of vulnerable groups and the development of policies to mitigate the financial impact of cancer are critical.

Role playing and interdependence among husbands of Iranian women after a mastectomy

BACKGROUND

Breast cancer is the most prevalent cancer among women.

AIM

To investigate the impact of breast cancer on the husbands of Iranian women.

METHODS

A content analysis based on a Callista-Roy adaptation model was conducted on 23 patients with breast cancer and their husbands and therapists. After asking questions about coping with cancer through telephone interviews, the following subcategories were obtained: role play and interdependence. Data analysis was completed via the Elo and Kyngas approach.

RESULTS

Data analysis led to the production of 51 initial codes from participants' experiences. The category role-playing included three further sub-categories: primary role, secondary role and tertiary role. Independence/dependence problems included seven sub-categories: personal beliefs, love and heartfelt attachment, organised support, non-organised support, support failure, economic problems and dependence problems/independence.

CONCLUSIONS

Husbands of women who have had a mastectomy have to take on new roles in their life in order to care for their wife. Also, despite the financial, spiritual, psychological, and medical support that they receive, husbands still felt that the support was insufficient.

Social vulnerability among cancer patients and changes in vulnerability during their trajectories - A longitudinal population-based study

BACKGROUND

Identification of socially vulnerable cancer patients in the health care system is difficult. Only little is known concerning changes in the patients' social circumstances during the trajectory. Such knowledge is valuable regarding the identification of socially vulnerable patients in the health care system. The objective of this study was to use administrative data to identify population-based characteristics of socially vulnerable cancer patients and investigate how social vulnerability changed during the cancer trajectory.

METHODOLOGY

A registry-based social vulnerability index (rSVI) was applied to each cancer patient prior to their diagnosis, and used to assess changes in social vulnerability after the diagnosis.

RESULTS

A total of 32,497 cancer patients were included. Short-term survivors (n = 13,994) died from cancer from one to three years after the diagnosis, and long-term survivors (n = 18,555) survived at least three years after the diagnosis. 2452 (18 %) short-term survivors and 2563 (14 %) long-term survivors were categorized as socially vulnerable at diagnosis, of these 22 % and 33 % changed category to not socially vulnerable during the first two years after the diagnosis, respectively. For patients changing status of social vulnerability, several social and health-related indicators changed, which is in line with the complexity of the multifactorial social vulnerability. Less than 6 % of the patients categorized as not vulnerable at diagnosis, changed to become vulnerable during the following two years.

CONCLUSION

During the cancer trajectory, social vulnerability may change in both directions. Surprisingly, more patients, who were categorized as socially vulnerable when their cancer was diagnosed, changed status to not socially vulnerable during follow-up. Future research should attempt to increase knowledge on identifying cancer patients, who experience deterioration after the diagnosis.

Joint exposure to parental cancer and income loss during childhood and the child's socioeconomic position in early adulthood: a Danish and Norwegian register-based cohort study

BACKGROUND

Parental cancer as well as economic hardship in the family during childhood can affect the child negatively. Our aim was to examine the association between the joint exposure to parental cancer and income loss in childhood and the child's socioeconomic position in early adulthood.

METHODS

We conducted a register-based prospective cohort study of children born in Denmark between 1978 and 1986 and in Norway between 1979 and 1987. The children were followed from 1 January 1994 (in Denmark) or 1995 (in Norway). Educational level and personal income were measured at age 30 years. Children who experienced parental cancer between the years they turned 8 and 16 years were identified, and exposure to income loss was measured in the same period. Adjusted multinomial logistic regression model was used to estimate relative risk ratios for the joint exposure of parental cancer and income loss during childhood.

RESULTS

Children who experienced parental cancer and an income loss during childhood had an increased risk of low education and lower income at age 30 years. The associations were weaker for children only exposed to income loss and less clear for those only exposed to parental cancer. Further, exposure to parental cancer with a severe cancer type was associated with lower educational level.

CONCLUSION

The child's educational attainment and income level in early adulthood were negatively affected by exposure to income loss in childhood, and even more so if exposed to both parental cancer and income loss. The associations with educational attainment were stronger for more severe cancer types.

Income loss after a cancer diagnosis in Germany: An analysis based on the socio-economic panel survey

BACKGROUND AND AIMS

Cancer treatments often require intensive use of healthcare services and limit patients' ability to work, potentially causing them to become financially vulnerable. The present study is the first attempt to measure, on the German national level, the magnitude of absolute income loss after a cancer diagnosis.

METHODS

This study analyzes data from the Socio-Economic Panel (SOEP) survey, one of the largest and most comprehensive household surveys in Germany, consisting of approximately 20,000 individuals, who are traced annually. The empirical strategy consists of ordinary least squares (OLS) and multinomial logistic estimators to measure changes in job income, work status, working hours, and pension as a result of reporting a cancer diagnosis for the period between 2009 and 2015. Sample consistency checks were conducted to limit measurement error biases.

RESULTS

Our results show that job incomes dropped between 26% and 28% within the year a cancer diagnosis was reported. The effect persisted for two years after the diagnosis and was no longer observable after four years. The finding was linked to an increased likelihood of unemployment and a reduction of working hours by 24%. Pension levels, on the other hand, were not affected by a cancer diagnosis.

CONCLUSIONS

These findings suggest that many cancer patients are exposed to financial hardship in Germany, particularly when the cancer diagnosis occurs during their working age and before requirements to obtain a pension are met. Further research seems warranted to identify particularly vulnerable patient groups.

The causal effects of health conditions and risk factors on social and socioeconomic outcomes: Mendelian randomization in UK Biobank

BACKGROUND

We aimed to estimate the causal effect of health conditions and risk factors on social and socioeconomic outcomes in UK Biobank. Evidence on socioeconomic impacts is important to understand because it can help governments, policy makers and decision makers allocate resources efficiently and effectively.

METHODS

We used Mendelian randomization to estimate the causal effects of eight health conditions (asthma, breast cancer, coronary heart disease, depression, eczema, migraine, osteoarthritis, type 2 diabetes) and five health risk factors [alcohol intake, body mass index (BMI), cholesterol, systolic blood pressure, smoking] on 19 social and socioeconomic outcomes in 336 997 men and women of White British ancestry in UK Biobank, aged between 39 and 72 years. Outcomes included annual household income, employment, deprivation [measured by the Townsend deprivation index (TDI)], degree-level education, happiness, loneliness and 13 other social and socioeconomic outcomes.

RESULTS

Results suggested that BMI, smoking and alcohol intake affect many socioeconomic outcomes. For example, smoking was estimated to reduce household income [mean difference = -£22 838, 95% confidence interval (CI): -£31 354 to -£14 321] and the chance of owning accommodation [absolute percentage change (APC) = -20.8%, 95% CI: -28.2% to -13.4%], of being satisfied with health (APC = -35.4%, 95% CI: -51.2% to -19.5%) and of obtaining a university degree (APC = -65.9%, 95% CI: -81.4% to -50.4%), while also increasing deprivation (mean difference in TDI = 1.73, 95% CI: 1.02 to 2.44, approximately 216% of a decile of TDI). There was evidence that asthma decreased household income, the chance of obtaining a university degree and the chance of cohabiting, and migraine reduced the chance of having a weekly leisure or social activity, especially in men. For other associations, estimates were null.

CONCLUSIONS

Higher BMI, alcohol intake and smoking were all estimated to adversely affect multiple social and socioeconomic outcomes. Effects were not detected between health conditions and socioeconomic outcomes using Mendelian randomization, with the exceptions of depression, asthma and migraines. This may reflect true null associations, selection bias given the relative health and age of participants in UK Biobank, and/or lack of power to detect effects.

What Are Young Women Living Conditions after Breast Cancer? Health-Related Quality of Life, Sexual and Fertility Issues, Professional Reinsertion

In recent decades, the living conditions of young breast cancer (BC) survivors have garnered increasing attention. This population-based study aimed to identify the clinical, social and economic determinants of Health-Related Quality of Life (HRQoL), and to describe other living conditions of young long-term BC survivors. Women with non-metastatic BC diagnosed between 2006 and 2015, aged 45 years and younger at the time of diagnosis, were identified through the Breast and Gynecologic Cancer Registry of the Côte d’Or, France. Participants completed self-report questionnaires including standardized measures of HRQoL, anxiety, depression, social deprivation, social support and sexuality. Fertility and professional reintegration issues were also assessed. The determinants of HRQoL were identified using mixed regression model. In total, 218 BC survivors participated in the survey. The main determinants of poor HRQoL were anxiety, depression, comorbidities, social deprivation and menopausal status. Among 72% of women who did not receive information about fertility preservation, 38% of them would have liked to have been informed. Finally, 39% of survivors reported a negative impact of BC on their professional activity. This study showed that BC stage or treatments did not have an impact on HRQOL of young long-term BC survivors. Fertility, sexuality and professional reintegration remained the main concerns for survivors. Specific interventions in these population should focus on these issues.

Differences in cancer patients' work-cessation risk, based on gender and type of job: Examination of middle-aged and older adults in super-aged Japan

Objectives

In this paper, we aim to estimate the effect cancer diagnosis has on labour-force participation among middle-aged and older populations in Japan. We investigate the impact of cancer diagnosis on job cessation and the gap between gender or job types.

Methods

We sourced data from a nationwide, annual survey targeted population aged 51–70 featuring the same cohort throughout, and examined respondents’ cancer diagnoses and whether they continued to work, while also considering differences between gender (observations: 53 373 for men and 44 027 for women) and occupation type (observations: 64 501 for cognitive worker and 20 921 for manual worker) in this regard. We also examined one-year lag effects, using propensity score matching to control for confounding characteristics. We also implement Logistic regression and derive the odds ratio to evaluate the relative risk of cancer diagnosis, which supplements the main result by propensity score matching.

Results

Overall, the diagnosis of cancer has a huge effect on labour-force participation among the population, but this effect varies across subpopulations. Male workers are more likely to quit their job in the year they are diagnosed with cancer (10.1 percentage points), and also in the following year (5.0 percentage points). Contrastingly, female workers are more likely to quit their job immediately after being diagnosed with cancer (18.6 percentage points); however, this effect totally disappears when considering likelihoods for the following year. Cognitive workers are more prone to quit their job in the year of diagnosis by 11.6 percentage points, and this effect remains significant, 3.8 percentage points, in the following year. On the other hand, for manual workers the effect during the year of diagnosis is huge. It amounts to 18.7 percentage points; however, the effect almost disappears in the following year.

Conclusion

Our results indicate the huge effect of cancer on job cessation, and that there might be a degree of discrimination in workplaces between gender and job types.

Inequality in income change among cancer survivors five years after diagnosis: Evidence from a French national survey

Worldwide, around 18 million people receive a cancer diagnosis each year, most of whom survive long enough to face additional cancer-related costs. In France, most costs directly related to cancer are covered by the National Health Insurance Fund, and cancer patients can receive treatments without paying advance fees. In this context, the costs faced by cancer survivors are mostly social costs. Drawing on fundamental cause theory, this study aimed to explore the socially-differentiated evolution of cancer survivor's income five years after diagnosis. Our study draws on the findings of VICAN5, a French national survey that was conducted in 2015/2016 in a representative sample of 4,174 cancer survivors to obtain information on living conditions five years after diagnosis, and that was restricted to 12 tumour sites accounting for 88% of global cancer incidence in France. We used the multiple imputation method and the Heckman selection model to identify the factors associated with a decrease in household income per consumption unit (HICU), while accounting for missing data. Among survivors still working five years after diagnosis, 17.6% reported lower income at survey than at diagnosis. After adjustment for socio-demographic and medical characteristics, the decrease in HICU was more frequent in women, singles, low educated survivors, and survivors with reduced working time. Finally, subjective measures of income variation and economic well-being were a useful complement to objective measures since 31.6% of cancer survivors still working five years after diagnosis reported a perceived decrease in household income. In conclusion, inequalities in economic well-being persist long after diagnosis in France, and this despite the fact that most cancer-related costs are covered by the French National Health Insurance Fund. Consequently, more attention should be paid to cancer patients with low socio-economic status to help reduce inequalities in post-diagnosis living conditions.

Occupational Class Differences in Long-Term Sickness Absence Due to Breast Cancer during 2005-2013: A Population-Based Study among Finnish Women

Breast cancer is the most common cancer among women in Western countries with clear socioeconomic differences. Higher occupational class is associated with higher breast cancer incidence but with better survival from the disease, whereas lower occupational class is associated with higher risk of sickness absence. We are not aware of previous studies examining changes over time in occupational class differences in sickness absence due to breast cancer. This paper focuses on occupational class differences in the incidence and duration of sickness absence due to breast cancer over the period of 2005-2013. Age-adjusted occupational class differences in the cumulative incidence and duration of sickness absence due to breast cancer were calculated utilising a nationally representative 70% random sample of employed Finnish women aged 35-64 years (yearly N varying between 499,778 and 519,318). The results show that higher occupational class was associated with higher annual cumulative incidence of sickness absence due to breast cancer. Lower occupational class was associated with longer duration of absence. Occupational class differences in both cumulative incidence and duration of absence remained broadly stable. As a conclusion, these results suggest that measures should be targeted particularly to promotion of work capacity among employees with breast cancer in lower occupational classes.