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

Implementing Indicators and Trajectories of Return to Work After Breast Cancer Diagnosis: A Mixed-Methods Study Using the French National Healthcare Insurance Database and Stakeholder Consultation

PURPOSE

Return to work (RTW) is important for quality of life after breast cancer but its analysis at the population-level remains limited in France. This study aimed to implement Electronic Healthcare Data (EHD)-based indicators and trajectories to measure RTW after breast cancer diagnosis, and to examine stakeholders' perspectives regarding these indicators.

METHODS

We followed a mixed-methods approach that consisted of (i) implementing RTW indicators and identifying clusters of trajectories using state sequence analysis with data from a representative sample of the French National Health Data System and (ii) exploring, through qualitative focus group and interviews, stakeholders' perceptions on the interpretation, limitations, and utility of these indicators.

RESULTS

We extracted data from 317 women aged 25-55 years with a first diagnosis of early-stage breast cancer. The median number of sickness absence periods was 2 for a total of 434 days during the 3-year follow-up, and the median time to sustainable RTW was 240 days. Three clusters of RTW trajectories were identified: "early RTW" (49.5% of the population), "RTW after partial resumption" (37.5%) and "continuous compensation" (12.9%). Feedback from stakeholders highlighted the multi-factorial nature of RTW and underscored the added value of EHD for studying RTW, despite certain limitations.

CONCLUSIONS

We demonstrated the feasibility of calculating RTW indicators and identifying trajectories using the French National Health Data System. These indicators can serve as outcome measures in RTW promotion and provide a basis for designing targeted interventions for breast cancer survivors.

Social characteristics and social benefit use among premenopausal breast cancer survivors in Denmark: a population-based cohort study

PURPOSE

In 2020, one million women aged < 55 years were diagnosed with breast cancer globally. The impact of breast cancer and its treatments on these women's ability to work and need for social benefits may differ by social characteristics. We evaluated social benefit use following breast cancer by education and cohabitation.

METHODS

We conducted a nationwide population-based cohort study, including women aged 18-55 years diagnosed with stage I-III breast cancer in Denmark during 2002-2011. Statistics Denmark provided information on cohabitation, education, and social benefit use from 1 year pre-diagnosis to 10 years post-diagnosis. We calculated weekly proportions of self-support, unemployment, disability pension, flexi jobs, and sick leave according to education and cohabitation.

RESULTS

Of 5345 women, 81.8% were self-supporting, 4.5% received disability pensions, 1.6% had flexi jobs, 3.6% were on sick leave, and 5.5% were unemployed 1 year pre-diagnosis. Ten years post-diagnosis, the proportions were 69.0%, 13.0%, 10.5%, 3.4%, and 2.0% of 3663 survivors. Disability pensions and flexi jobs increased from 12.1 to 26.4% and 2.8 to 13.5% in women with short education, from 4.1 to 12.8% and 1.8 to 12.2% in women with medium education, and from 0.8 to 6.0% and 0.9 to 6.9% in longer educated. Disability pensions increased more in women living alone (7.8 to 19.9%), than in cohabiting women (3.6 to 11.3%).

CONCLUSIONS

Use of social benefits reflecting lost ability to work was highest in less educated women and in women living alone.

IMPLICATIONS FOR CANCER SURVIVORS

Awareness of these groups is crucial when tailoring efforts to support work participation in cancer survivors.

Differential Efficacy of B-Ultrasound Combined with Molybdenum Target Detection Mode for Breast Cancer Staging and Correlation of Blood Flow Parameters with IGF-1 and IGF-2 Expression Level and Prognosis

The study investigates the diagnostic efficacy of ultrasound combined with the molybdenum target mode in breast cancer staging and the relationship between blood flow parameters and the expression of insulin-like growth factor 1 (IGF-1) and factor 2 (IGF-2) and prognosis. A total of 96 patients admitted to hospital from January 2020 to January 2021 are included in the breast cancer group, and 58 patients admitted to our hospital during the same period are included in the control group, who are diagnosed with benign breast lesions. All patients receive clinicopathological diagnosis, ultrasound detection, and X-ray molybdenum detection. Ultrasound detection, molybdenum target detection, ultrasound combined with the molybdenum target detection mode, and clinicopathological diagnosis results are compared. B-ultrasound combined with the molybdenum target detection mode has high efficiency in diagnosing breast cancer and differentiating pathological stages. Besides, blood flow parameters of patients are closely related to IGF-1 and IGF-2, and IGF-1 and IGF-2 expressions are closely related to the prognosis of patients. Subsequent diagnosis of the disease degree of breast cancer patients can be carried out by ultrasound combined with the molybdenum target detection mode. In addition, the expression of IGF-1 and IGF-2 in patients can be monitored to improve the clinical diagnosis and treatment plan to improve the prognosis of patients, which has a high clinical application value and is worth promoting.

Supporting the Return to Work of Breast Cancer Survivors: From a Theoretical to a Clinical Perspective

Promoting the return to work of breast cancer survivors is of major interest to patients, healthcare and occupational health professionals, companies, governments, and researchers worldwide. We previously conducted a French consensus study resulting in a model describing the multifactorial process of the return to work of breast cancer survivors (the REWORK-BC model). Other work has identified the transtheoretical model as a relevant theoretical framework for interventions to promote the return to work of cancer survivors. In this opinion paper, we provide a theoretically-based clinical framework describing how to support breast cancer survivors at each stage of the return-to-work process. This clinical framework considers several essential aspects of supportive care for breast cancer survivors returning to work, such as: (i) helping the patient actively self-manage, by considering her to be the main decision-maker; (ii) respecting and adapting to the patient’s choice of professional project; (iii) respecting the temporality of the patient’s choices; (iv) proposing tailored interventions; (v) implementing simple tools to promote the return to work, shared representation between the patient and a multidisciplinary team, and improvement of working conditions and the knowledge of health and occupational professionals, and managers or employers; and (vi) maintaining certain flexibility aimed at proposing, but never imposing, changes in practices. This clinical framework, specific to breast cancer survivors, could be extrapolated to other tumor types, offering a practical guide for healthcare and occupational health professionals to better understand the return-to-work process of cancer survivors. This clinical framework aims to be a usable tool for any hospital or cancer care center wishing to implement a patient-centered intervention that promotes returning to work, regardless of the country.

Trajectories of sickness absence and disability pension before and after colorectal cancer: A Swedish longitudinal population-based matched cohort study

Objectives

Working-aged colorectal cancer (CRC) patients have a much better survival, indicating the importance of their future work situation. We investigated trajectories of sickness absence and disability pension (SADP) days before and after CRC diagnosis, and risk factors associated with different trajectories.

Methods

A longitudinal, population-based matched cohort study of 4735 CRC survivors in Sweden aged 19–62 when first diagnosed with CRC in 2008–2011, and 18,230 matched references was conducted, using microdata linked from several nationwide registers. The annual SADP net days for 2 years before through 5 years after diagnosis date were computed. A group-based trajectory model was used to depict SADP trajectories. Associations between trajectory membership, and sociodemographic and clinical variables were tested by chi² test and multinomial logistic regression.

Results

Four trajectories of SADP days/year for CRC survivors were identified: “only increase around diagnosis” (52% of all), “slight increase after diagnosis” (27%), “high then decrease moderately after diagnosis” (13%), and “constantly very high” (8%). Educational level, Charlson’s Comorbidity Index, and prediagnostic mental disorders were the strongest factors determining the SADP trajectory groups. In references, three trajectories (“constantly low” (80% of all), “constantly moderate and decrease gradually” (12%), and “very high then decrease overtime” (8%)) were identified.

Conclusion

Approximately 80% of CRC survivors return to a low level of SADP at 5 years postdiagnosis. Prediagnostic status of mental disorders, somatic comorbidity, and low educational level are good indicators of future high SADP levels for them. CRC survivors will benefit from early rehabilitation programs with identified risk factors.

Sickness absence and disability pension among swedish women prior to breast cancer relapse with a special focus on the roles of treatment and comorbidity

OBJECTIVE

We aimed to determine the longitudinal prevalence and the predictors of sickness absence (SA) and disability pension (DP) in breast cancer (BC) women who eventually developed relapse.

METHODS

A total of 1293 BC women, who were ages 20-63 years, diagnosed between 1996 and 2011 and by 2016 had all developed relapse, were identified in Swedish registers and were followed from two years before to five years after their primary diagnosis, while they were relapse-free. Annual prevalence of SA and DP was calculated. Logistic regression was used to estimate adjusted odds ratios (AOR) for long-term SA (>30 days) at one (y1) and three (y3) years post-diagnosis.

RESULTS

Prevalence of long-term SA was 68.1% in y1 and 16.3% in y5. Prevalence of DP progressively increased from 16.3% in y1 to 29.0% in y5. Predictors of long-term SA included age <50 years (y1:AOR = 1.79 [1.39-2.29]), TNM stage III (y1:AOR = 1.54 [1.03-2.31]; y3:AOR = 2.21 [1.32-3.72]), metastasis (y1:AOR = 1.64 [1.26-2.12]; y3:AOR = 1.51 [1.05-2.18]), comorbidity (y1:AOR = 2.41 [1.55-3.76]; y3 AOR = 4.62 [2.49-8.57]) and any combination of radiotherapy, chemotherapy and hormonal therapy (y1:AOR = 2.05-5.71).

CONCLUSION

Among BC women who later developed relapse, those who had higher stages of BC, had comorbidity and received neoadjuvant and/or adjuvant therapy were at significantly higher risk of needing long-term SA after their diagnosis.