Predictive factors for prolonged sick leave in breast cancer patients treated with adjuvant therapies: a retrospective registry study.

BACKGROUND: Being able to work during and after breast cancer treatments is important for patients to have a sense of normalcy, financial security, and improved quality of life, and for society due to the economic burden of sick leave. Factors influencing the length of sick leave can be sociodemographic factors, workplace adaptations, recurrences, symptoms, and type of treatment. The aim of this study is to analyse factors associated with prolonged sick leave after adjuvant breast cancer treatments. METHODS: The population of this registry study consists of 1333 early breast cancer patients diagnosed and treated in Helsinki University Hospital between 2016 and 2018. Data on patient demographics, disease characteristics, treatment, and healthcare resource utilization were obtained from Helsinki University Hospital and data on income level and sick leave were obtained from Kela sickness benefits registry. Prolonged sick leave was determined as the patient accumulating 30 or more reimbursed sick leave days during a 60-day follow-up period after the end of active oncological treatment. Univariate analysis and multivariate analysis were conducted. RESULTS: A total of 26% of the patients in this study were on sick leave for 30 or more days after the active treatments ended. Study findings show that chemotherapy, triple-negative breast cancer, reconstructive surgery, amount of outpatient visits, and income are associated with prolonged sick leave. Independent predictors of prolonged sick leave were treatment line, number of outpatient contacts, reconstruction, and triple-negative breast cancer. CONCLUSIONS: Our study shows that prolonged sick leave affects a substantial number of working-age women with early breast cancer. Independent predictors for prolonged sick leave were all treatment-related. Targeted support for treatment-related side-effects already during the treatment period could lead to better recovery and earlier return to work.

Trends in cost of treatment of lung cancer patients in 2014-2019 in Finland - a descriptive register study.

AIM: The aim of this descriptive study is to analyze the cost for the treatment of NSCLC and SCLC patients (2014-2019) in Finland. The primary objective is to understand recent (2014-2019) cost developments. METHODS: The study is retrospective and based on hospital register data. The study population consists of NSCLC and SCLC patients diagnosed in four out of the five Finnish university hospitals. The final sample included 4047 NSCLC patients and 766 SCLC patients. RESULTS: Cost of the treatment in lung cancer is increasing. Both the average cost of the first 12 months as well as the first 24 months after diagnosis increases over time. For patients diagnosed in 2014, the average cost of the first 24 months was 19,000 €and for those diagnosed in 2015 22,000 €. The annual increase in the nominal 24-month costs was 10.4% for NSCLC and 7.3% for SCLC patients. CONCLUSION: The average cost per patient has increased annually for both NSCLC and SCLC. Possible explanations to the cost increase are increased medicine costs (especially in NSCLC), and the increased percentage of patients being actively treated.

Predicting Effective Adaptation to Breast Cancer to Help Women BOUNCE Back: Protocol for a Multicenter Clinical Pilot Study.

BACKGROUND: Despite the continued progress of medicine, dealing with breast cancer is becoming a major socioeconomic challenge, particularly due to its increasing incidence. The ability to better manage and adapt to the entire care process depends not only on the type of cancer but also on the patient's sociodemographic and psychological characteristics as well as on the social environment in which a person lives and interacts. Therefore, it is important to understand which factors may contribute to successful adaptation to breast cancer. To our knowledge, no studies have been performed on the combination effect of multiple psychological, biological, and functional variables in predicting the patient's ability to bounce back from a stressful life event, such as a breast cancer diagnosis. Here we describe the study protocol of a multicenter clinical study entitled "Predicting Effective Adaptation to Breast Cancer to Help Women to BOUNCE Back" or, in short, BOUNCE. OBJECTIVE: The aim of the study is to build a quantitative mathematical model of factors associated with the capacity for optimal adjustment to cancer and to study resilience through the cancer continuum in a population of patients with breast cancer. METHODS: A total of 660 women with breast cancer will be recruited from five European cancer centers in Italy, Finland, Israel, and Portugal. Biomedical and psychosocial variables will be collected using the Noona Healthcare platform. Psychosocial, sociodemographic, lifestyle, and clinical variables will be measured every 3 months, starting from presurgery assessment (ie, baseline) to 18 months after surgery. Temporal data mining, time-series prediction, sequence classification methods, clustering time-series data, and temporal association rules will be used to develop the predictive model. RESULTS: The recruitment process stared in January 2019 and ended in November 2021. Preliminary results have been published in a scientific journal and are available for consultation on the BOUNCE project website. Data analysis and dissemination of the study results will be performed in 2022. CONCLUSIONS: This study will develop a predictive model that is able to describe individual resilience and identify different resilience trajectories along the care process. The results will allow the implementation of tailored interventions according to patients' needs, supported by eHealth technologies. TRIAL REGISTRATION: ClinicalTrials.gov NCT05095675; https://clinicaltrials.gov/ct2/show/NCT05095675. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/34564.

Trends in treatment of non-small cell lung cancer in Finland 2014-2019.

INTRODUCTION: Non-small cell lung cancer (NSCLC) is a leading cause of cancer mortality in the Western world. However, emerging treatment options and more patients directed to active treatments might improve the outcomes. Here, we retrospectively studied the patient characteristics and treatment practices for NSCLC in Finland 2014-2019 with a special focus on changes in trends over time. MATERIAL AND METHODS: The cohort consisted of patients diagnosed with NSCLC in Finland 2014-2018. Cancer treatments for the patients were followed until the end of 2019. The data, both structured and unstructured, were collected from electronic medical records of four university hospitals in Finland. RESULTS: Of the study population (n = 4047), 65% had adenocarcinoma and 29% squamous cell carcinoma. The share of patients who had not received any active treatment (except palliative radiotherapy) decreased from 32% to 18% between 2014-18. The percentage of patients receiving surgery increased slightly from 22.7% to 24% and for patients receiving chemotherapy or immuno-oncological (IO) treatments from 29% to 41.2% and from 0.8% to 8%, respectively between, 2014-18. However, the time of treatment for patients receiving systemic cancer treatments did not change during the same time period. DISCUSSION: The current study suggests a trend in NSCLC towards more active treatment approaches in 2014-18.