Healthcare costs associated with breast cancer in Germany: a claims data analysis

Changes in modifiable risk factors in women at increased risk for breast and ovarian cancer during the COVID-19 pandemic

Background

Modifiable lifestyle factors exert a substantial influence on the development of various diseases. The COVID-19 pandemic necessitated the implementation of containment measures to mitigate the viral spread, which affected the maintenance of healthy habits.

Methods

Changes in lifestyle factors (e.g. physical activity, nutrition, smoking, drinking alcohol) within a cohort of German women at increased risk of breast cancer (BC) or ovarian cancer (OC) were evaluated through an anonymous web-based survey. The self-reported assessment of mental health was conducted using the PHQ-4 questionnaire. This tool combines two items from the Patient Health Questionnaire for Depression (PHQ-2) and two queries from the Generalized Anxiety Disorder Scale (GAD-2). Potential predictors of lifestyle changes were determined via multiple logistic regression analysis. A heuristic model was employed to project potential long-term consequences on BC incidence.

Results

During the pandemic, 41.6 % of respondents reported reduced engagement in physical activity (PA), whereas 14.3 % reported increased engagement in PA. A score ≥5 on the PHQ-2 scale emerged as an independent risk factor for reduced PA (OR 12.719; 95 % CI 1.089-148.549; p = 0.043). By the heuristic approach, we projected an increase of BC by 3384 cases in Germany by 2030, which is attributable to the alterations in PA patterns during the pandemic.

Discussion

Impaired mental health during the pandemic constituted a risk factor for unfavorable changes in PA. Consequently, a surge in BC may arise due to decreased engagement in PA. Healthcare professionals must remain aware of the potential risk factors that facilitate adverse alterations in modifiable risk factors caused by pandemic-related contingency measures or similar future events.

Implementation and Evaluation of a Breast Cancer Disease Model Using Real-World Claims Data in Germany from 2010 to 2020

Breast cancer is the leading cause of cancer-related mortality among women in Germany and worldwide. This retrospective claims data analysis utilizing data from AOK Baden-Wuerttemberg, a major statutory German health insurance provider, aimed to construct and assess a real-world data breast cancer disease model. The study included 27,869 female breast cancer patients and 55,738 age-matched controls, analyzing data from 2010 to 2020. Three distinct breast cancer stages were analyzed: Stage A (early breast cancer without lymph node involvement), Stage B (early breast cancer with lymph node involvement), and Stage C (primary distant metastatic breast cancer). Tumor subtypes were estimated based on the prescription of antihormonal or HER2-targeted therapy. The study established that 77.9% of patients had HR+ breast cancer and 9.8% HER2+; HR+/HER2- was the most common subtype (70.9%). Overall survival (OS) analysis demonstrated significantly lower survival rates for stages B and C than for controls, with 5-year OS rates ranging from 79.3% for stage B to 35.4% for stage C. OS rates were further stratified by tumor subtype and stage, revealing varying prognoses. Distant recurrence-free survival (DRFS) analysis showed higher recurrence rates in stage B than in stage A, with HR-/HER2- displaying the worst DRFS. This study, the first to model breast cancer subtypes, stages, and outcomes using German claims data, provides valuable insights into real-world breast cancer epidemiology and demonstrates that this breast cancer disease model has the potential to be representative of treatment outcomes.

Population-Level Impact of Omitting Axillary Lymph Node Dissection in Early Breast Cancer Women: Evidence from an Economic Evaluation in Germany

BACKGROUND

The American College of Surgeons Oncology Group Z0011 trial showed that complete axillary lymph node dissection (cALND) did not improve survival benefits in patients with one or two tumour-involved sentinel lymph nodes and undergoing breast conservation. Still, a considerable number of the Z0011-eligible patients continue to be treated with cALND in various countries. Given the potential economic gain from implementation of the Z0011 recommendations, we quantified population-level impacts of omitting cALND among Z0011-eligible patients in clinical practice.

METHODS

This 2-year economic analysis adopted both the perspective of patients under statutory insurance and the societal perspective, using data collected prospectively from 179 German breast cancer units between 2008 and 2015. The estimation of cost savings and health gain relied on a single decision tree, which considered three scenarios: clinical practice at the baseline; actual implementation in routine care; and hypothetical full implementation in all eligible patients.

RESULTS

Data for 188,909 patients with primary breast cancer were available, 13,741 (7.3%) of whom met the Z0011 inclusion criteria. The use of cALND decreased from 94.3% in 2010 to 46.9% in 2015, resulting in a gain of 335 quality-adjusted life-years and a saving of EUR50,334,756 for the society. Had cALND been omitted in all eligible patients, the total gain would have been more than double.

CONCLUSIONS

The implementation of the Z0011 recommendations resulted in substantial savings and health gain in Germany. Our findings suggest that it is beneficial to introduce additional policy measures to promote further uptake of the Z0011 recommendations in clinical practice.

Estimation of the stage-wise costs of breast cancer in Germany using a modeling approach

Breast cancer (BC) is a heterogeneous disease representing a substantial economic burden. In order to develop policies that successfully decrease this burden, the factors affecting costs need to be fully understood. Evidence suggests that early-stage BC has a lower cost than a late stage BC. We aim to provide conservative estimates of BC's stage-wise medical costs from German healthcare and the payer's perspective. To this end, we conducted a literature review of articles evaluating stage-wise costs of BC in Germany through PubMed, Web of Science, and Econ Lit databases supplemented by Google Scholar. We developed a decision tree model to estimate BC-related medical costs in Germany using available treatment and cost information. The review generated seven studies; none estimated the stage-wise costs of BC. The studies were classified into two groups: case scenarios (five studies) and two studies based on administrative data. The first sickness funds data study (Gruber et al., 2012) used information from the year 1999 to approach BC attributable cost; their results suggest a range between €3,929 and €11,787 depending on age. The second study (Kreis, Plöthner et al., 2020) used 2011-2014 data and suggested an initial phase incremental cost of €21,499, an intermediate phase cost of €2,620, and a terminal phase cost of €34,513 per incident case. Our decision tree model-based BC stage-wise cost estimates were €21,523 for stage I, €25,679 for stage II, €30,156 for stage III, and €42,086 for stage IV. Alternatively, the modeled cost estimates are €20,284 for the initial phase of care, €851 for the intermediate phase of care, and €34,963 for the terminal phase of care. Our estimates for phases of care are consistent with recent German estimates provided by Kreis et al. Furthermore, the data collected by sickness funds are collected primarily for reimbursement purposes, where the German ICD-10 classification system defines a cancer diagnosis. As a result, claims data lack the clinical information necessary to understand stage-wise BC costs. Our model-based estimates fill the gap and inform future economic evaluations of BC interventions.

Temporal trends in social security benefits for female breast cancer in Brazil

Abstract The aim of this study was to assess temporal trends in disability benefits for breast cancer awarded to women by Brazil’s National Social Security Institute. We conducted a time-series analysis of disability benefit incidence rates between 2007 and 2018 using joinpoint regression and data from the Unified Benefits Information System (SUIBE) and open access social security system database. The age-adjusted incidence rate increased by 6.7% per year between 2015 and 2018 after a period of stability between 2007 and 2014. The number of benefits granted to women aged 20-49 increased, on average, by 3.4% per year, showing a marked rise from 2015 to 2018 (10.4% per year). The findings highlight that breast cancer is an important cause of sick leave among female workers and that the incidence of the disease is growing in younger economically active women, reinforcing the importance of early referral to the Social Security Professional Rehabilitation Program to help workers return to work and readapt to working life.

Temporal trends in social security benefits for female breast cancer in Brazil

The aim of this study was to assess temporal trends in disability benefits for breast cancer awarded to women by Brazil's National Social Security Institute. We conducted a time-series analysis of disability benefit incidence rates between 2007 and 2018 using joinpoint regression and data from the Unified Benefits Information System (SUIBE) and open access social security system database. The age-adjusted incidence rate increased by 6.7% per year between 2015 and 2018 after a period of stability between 2007 and 2014. The number of benefits granted to women aged 20-49 increased, on average, by 3.4% per year, showing a marked rise from 2015 to 2018 (10.4% per year). The findings highlight that breast cancer is an important cause of sick leave among female workers and that the incidence of the disease is growing in younger economically active women, reinforcing the importance of early referral to the Social Security Professional Rehabilitation Program to help workers return to work and readapt to working life.

Cost-effectiveness of palbociclib in early breast cancer patients with a high risk of relapse: Results from the PENELOPE-B trial

Background

Patients with hormone receptor-positive, HER2-negative breast cancer who have residual invasive disease after neoadjuvant chemotherapy (NACT) are at a high risk of relapse. PENELOPE-B was a double-blind, placebo-controlled, phase III trial that investigated adding palbociclib (PAL) for thirteen 28-day cycles to adjuvant endocrine therapy (ET) in these patients. Clinical results showed no significant improvement in invasive disease-free survival with PAL.

Methods

We performed a pre-planned cost-effectiveness analysis of PAL within PENELOPE-B from the perspective of the German statutory health insurance. Health-related quality of life scores, collected in the trial using the EQ-5D-3L instrument, were converted to utilities based on the German valuation algorithm. Resource use was valued using German price weights. Outcomes were discounted at 3% and modeled with mixed-level linear models to adjust for attrition, repeated measurements, and residual baseline imbalances. Subgroup analyses were performed for key prognostic risk factors. Scenario analyses addressed data limitations and evaluated the robustness of the estimated cost-effectiveness of PAL to methodological choices.

Results

The effects of PAL on quality-adjusted life years (QALYs) were marginal during the active treatment phase, increasing thereafter to 0.088 (95% confidence interval: −0.001; 0.177) QALYs gained over the 4 years of follow-up. The incremental costs were dominated by PAL averaging EUR 33,000 per patient; costs were higher in the PAL arm but not significantly different after the second year. At an incremental cost-effectiveness ratio of EUR 380,000 per QALY gained, PAL was not cost-effective compared to the standard-of-care ET. Analyses restricted to Germany and other subgroups were consistent with the main results. Findings were robust in the scenarios evaluated.

Conclusions

One year of PAL added to ET is not cost-effective in women with residual invasive disease after NACT in Germany.

Budget impact of the Oncotype DX® test compared to other gene expression tests in patients with early breast cancer in Germany

PURPOSE

Gene expression tests can inform decisions on whether to recommend chemotherapy for patients with HR+, HER2- early breast cancer. The goal of this analysis was to compare treatment costs by an expanded budget impact model of reimbursed gene expression tests in Germany.

METHODS

A cost comparison was constructed as an expanded budget impact model to calculate average total costs per patient covered by public health insurance. Based on the strong clinical evidence from the prospective randomized controlled trial TAILORx including more than 10,000 patients with HR+ and node negative breast cancer, the assumption was made that the Oncotype DX® test accurately predicts chemotherapy benefit and clinical outcomes. For the further reimbursed tests (EndoPredict®, MammaPrint®, Prosigna®), results from comparative studies - aligned with prognosis studies - as analyzed in IQWiG Rapid Report D19-01 were applied.

RESULTS

The use of the Oncotype DX test led to estimated average savings per patient of 2,500 € vs. EndoPredict, 1,936 € vs. MammaPrint, and 649 € vs. Prosigna. Savings were achieved by reduction of unnecessary chemotherapy use, a consequence of false-positive test results (EndoPredict 73%, MammaPrint 42%, Prosigna 20%). False-negative test results (EndoPredict 5%, MammaPrint 22%, Prosigna 49%) reduced necessary chemotherapies, which initially results in cost savings, but may lead to increased long-term costs associated with management of progressive disease.

CONCLUSION

The results from this model suggest that the use of the Oncotype DX test reduces the cost of health care in Germany making it the most cost effective test compared to the further tests.

Impact of a ketogenic diet intervention during radiotherapy on body composition: III-final results of the KETOCOMP study for breast cancer patients

Background

Obesity and low muscle mass are associated with worse outcomes of breast cancer patients. We conducted a controlled trial to study the impact of a ketogenic diet (KD) based on natural foods versus an unspecified standard diet (SD) on body composition in breast cancer patients undergoing radiotherapy.

Methods

Patients with non-metastasized breast cancer were allocated to either the KD (N = 32) or the SD (N = 31) during radiotherapy. Body composition was measured weekly by bioimpedance analysis. Blood parameters and quality of life were assessed before, during, and at the end of radiotherapy.

Results

A total of 29 KD and 30 SD patients completed the study. During radiotherapy, mean and median fasting BHB concentrations in the KD group were 0.72 and 0.49 mmol/l (range 0.06–4.9) which was significantly higher than those in the SD group (p < 2.2 × 10⁻¹⁶). There was a very small and insignificant increase in body weight and fat mass in the SD group, as well as a decrease of fat free mass. In contrast, patients in the KD group lost body weight and fat free and skeletal muscle mass quickly after diet onset, which for the most part was related to water losses. The KD did not cause further substantial changes in fat free or skeletal muscle mass, but was associated with a gradual decrease of 0.4 kg body weight and fat mass per week (p < 0.0001). The KD significantly decreased free T3 levels by 0.06 pg/ml/week (p = 6.3 × 10⁻⁵). Global quality of life remained stable in the SD group but increased in the KD group from a score of 66.7 to 75.0 (p = 0.20).

Conclusions

In breast cancer patients undergoing curative radiotherapy, a KD based on natural foods is feasible. After initial water losses, the KD tends to reduce body weight and fat mass while preserving fat free and skeletal muscle mass.

Trial registration

ClinicalTrials.gov identifier: NCT02516501, registered on August 06, 2015.