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.

Budget impact analysis of gene expression tests to aid therapy decisions for breast cancer patients in Germany.

OBJECTIVES: Many women with early-stage, hormone receptor-positive breast cancer may not benefit from adjuvant chemotherapy. Gene expression tests can reduce chemotherapy over- and undertreatment by providing prognostic information on the likelihood of recurrence and, with Oncotype DX, predictive information on chemotherapy benefit. These tests are currently not reimbursed by German healthcare payers. An analysis was conducted to evaluate the budget impact of gene expression tests in Germany. MATERIALS AND METHODS: Costs of gene expression tests and medical and non-medical costs associated with treatment were assessed from healthcare payer and societal perspectives. Costs were estimated from data collected at a university hospital and were combined with decision impact data for Oncotype DX, MammaPrint, Prosigna and EndoPredict (EPclin). Changes in chemotherapy use and budget impact were evaluated over 1 year for 20,000 women. RESULTS: Chemotherapy was associated with substantial annual costs of EUR 19,003 and EUR 84,412 per therapy from the healthcare payer and societal perspective, respectively. Compared with standard care, only Oncotype DX was associated with cost savings to healthcare payers and society (EUR 5.9 million and EUR 253 million, respectively). Scenario analysis showed that both women at high clinical but low genomic risk and low clinical but high genomic risk were important contributors to costs. CONCLUSIONS: Oncotype DX was the only gene expression test that was estimated to reduce costs versus standard care in Germany. The reimbursement of Oncotype DX testing in standard clinical practice in Germany should be considered.

[Documentation Time and Effort and Associated Resources for Patients with Primary Breast Cancer from Diagnosis to End of Follow-Up - Results of a Multicentre Validation]. / Dokumentationsaufwand und verbundene Ressourcen bei Patientinnen mit einem primären Mammakarzinom - von der Primärdiagnose bis zur Abschluss der Nachsorge - Ergebnisse der multizentrischen Erhebung.

INTRODUCTION: Tumour documentation is essential for quality assurance of oncological therapies and as a source of reliable information about the in- and outpatient care. The documentation effort and the associated resource consumption were analysed for the example of breast cancer. MATERIAL AND METHODS: The different steps in the care of patients with primary breast cancer in a standardised disease situation were defined from initial diagnosis to the end of the follow-up. After the pilot phase, a multicentre validation (n=7 centres) was performed with the support of the Federal Ministry of Health. The documentation time points were horizontally collected and analysed with regard to amount, duration and personnel expenses. RESULTS: 57% of the documentation costs are caused by the physicians. Regarding the different centres, documentation costs were calculated between € 352.82 and € 1 084.08 per patient from diagnosis to completion of aftercare. Non-certified centres had a reduced documentation effort and thus lower costs. CONCLUSIONS: The results demonstrate the need for a reduction of the documentation effort - particularly for physicians - the most expensive profession in the health system. A quality improvement is expected from the certification with its special requirements. In this context, there is a justified demand for an adequate remuneration of the documentation effort for certified centres. Furthermore, it is necessary to reduce the number of variables for quality assurance and to define them centrally. A comprehensive multi-disciplinary documentation should be achieved. Investments in a single data set and interface enhancements of existing documentation systems should be realised.

Impact of Patient and Procedure Mix on Finances of Perinatal Centres - Theoretical Models for Economic Strategies in Perinatal Centres.

Introduction: In Germany, cost and revenue structures of hospitals with defined treatment priorities are currently being discussed to identify uneconomic services. This discussion has also affected perinatal centres (PNCs) and represents a new economic challenge for PNCs. In addition to optimising the time spent in hospital, the hospital management needs to define the "best" patient mix based on costs and revenues. Method: Different theoretical models were proposed based on the cost and revenue structures of the University Perinatal Centre for Franconia (UPF). Multi-step marginal costing was then used to show the impact on operating profits of changes in services and bed occupancy rates. The current contribution margin accounting used by the UPF served as the basis for the calculations. The models demonstrated the impact of changes in services on costs and revenues of a level 1 PNC. Results: Contribution margin analysis was used to calculate profitable and unprofitable DRGs based on average inpatient cost per day. Nineteen theoretical models were created. The current direct costing used by the UPF and a theoretical model with a 100 % bed occupancy rate were used as reference models. Significantly higher operating profits could be achieved by doubling the number of profitable DRGs and halving the number of less profitable DRGs. Operating profits could be increased even more by changing the rates of profitable DRGs per bed occupancy. The exclusive specialisation on pathological and high-risk pregnancies resulted in operating losses. All models which increased the numbers of caesarean sections or focused exclusively on c-sections resulted in operating losses. Conclusion: These theoretical models offer a basis for economic planning. They illustrate the enormous impact potential changes can have on the operating profits of PNCs. Level 1 PNCs require high bed occupancy rates and a profitable patient mix to cover the extremely high costs incurred due to the services they are legally required to offer. Based on our theoretical models it must be stated that spontaneous vaginal births (not caesarean sections) were the most profitable procedures in the current DRG system. Overall, it currently makes economic sense for level I PNCs to treat as many low-risk pregnancies and neonates as possible to cover costs.

Accuracy of radiological tumour size assessment and the risk for re-excision in a cohort of primary breast cancer patients.

BACKGROUND: Re-operations after breast conserving surgery (BCS) are necessary, when specimen margins are not free of breast cancer cells. This study explored the accuracy of preoperative tumour size assessment and its influence on the rate of re-excisions and mastectomies. METHODS: The study included 1591 patients with invasive breast cancer, who were planned for BCS. Patient, staging and tumor characteristics were evaluated concerning their influence on re-excision and mastectomy rates. Patient and tumor characteristics comprised histopathological tumour size, HER2 status, multifocality, in situ component, grading (G), nodal status and hormone receptor (HR) status. Staging characteristics included deviation from pathological tumour size as measured by clinical examination, sonography and mammography. RESULTS: In 1316 patients (83%) sufficient treatment was possible with one operation. 275 patients (17%) had to undergo at least one further surgery as a result of positive specimen margins. In 138 patients (9%) mastectomy was ultimately necessary. In patients with a positive HER2 status, a larger tumour size, underestimation by ultrasound, an in situ component and multifocality, the risk for a re-operation was about doubled. Tumour size deviation in the mammogram or the clinical tumour size assessment did not have significant influence to the re-excision rates. CONCLUSION: Tumour size and accurate presurgical assessment of the tumour size itself are independent predictors for the need of a second surgery or even a mastectomy in patients for whom a primary BCS was planned.

Health Services Research and Health Economy - Quality Care Training in Gynaecology, with Focus On Gynaecological Oncology.

In the era of cost increases and reduced resources in the German healthcare system, the value of health services research and health economics is increasing more and more. Health services research attempts to develop concepts for the most effective ways to organise, manage, finance and deliver high-quality care and evaluates the implementation of these concepts with regard to daily routine conditions. Goals are the assessment of benefits and the economic advantages and disadvantages of new and established diagnostic methods, drugs and vaccines. Regarding these goals, it is clear that health services research goes hand in hand with health economics, which evaluates the benefits of diagnostic and therapeutic procedures in relation to the costs. Both scientific fields have focus principally on gynaecology and particularly on gynaecological oncology in Germany, as can be seen by numerous publications. These present several advantages compared with clinical trials - they uncover gaps in health care, question the material, staffing and consequently the financial resources required and they allow the estimation of value and the comparison of different innovations to identify the best options for our patients.

Changes in satisfaction in patients with gynaecological and breast malignancies: an analysis with the Socio-Economic Satisfaction and Quality of Life questionnaire.

Quality of life (QOL) is commonly assessed using health-related questionnaires. The Socio-Economic Satisfaction Quality of Life (SES-QOL) questionnaire includes specific individual coping topics, such as health, leisure activities, sexual life, occupation, financial situation, partnership situation, family situation, accommodation situation and friendship situation. This paper reports the findings of the survey with the SES-QOL with an emphasis on changes in satisfaction during the course of a disease involving a gynaecological or breast malignancy. From February 2000 to October 2002, 1030 women diagnosed with breast or gynaecological cancers were included in this study. The patients responded to the SES-QOL questionnaire as part of an interview. Metastatic disease results in more frequent reporting of dissatisfaction with health issues (63%), sexual life (24.5%) and occupation (20%), whereas patients in the adjuvant setting report deteriorating satisfaction with regard to health (41.7%), sexual life (12.2%) and occupation (11.5%). The SES-QOL reflects individual changes in different aspects of satisfaction during the course of a cancer disease. Identifying as many causing variables as possible, and offering support through an interdisciplinary approach including the physician, a social worker and a psycho-oncologist, appears necessary in order to help patients cope with cancer as a dynamic and individual process.

Risk and risk assessment for breast cancer: molecular and clinical aspects.

Chemoprevention, prophylactic surgery and intensified screening programs are options which can be offered the patients with an increased lifetime risk (p(life)) for breast cancer (BC). Estimation of p(life) includes BRCA mutation analysis and risk estimation based on individual risk factors and family history. MENDEL and BRCAPRO are models which can estimate mutation carrier status probability (p(mut)), p(life) and p(mut) can be estimated using Cyrillic3 software which incorporates BRCAPRO and MENDEL. To integrate age, hormonal factors and benign breast biopsies in risk assessment the Tyrer-Cuzick model can be used. These models support the decision pro or contra genetic analysis and improve the number of positive gene testing results. Estimations of p(life) and p(mut), based on a mathematical model, should deal with algorithms and penetrance/frequency data adequate to the population counselled. Being the main modulatory factors, reproductive/hormonal data should be incorporated like the Tyrer-Cuzick model does.

Assessment of breast cancer tumor size depends on method, histopathology and tumor size itself*.

PURPOSE: Mammography (MG), breast (BU) and axillary ultrasound (AU), and clinical examination (CE) are commonly used for clinical staging. These different methods were compared in order to assess the accuracy of clinical tumor staging (cT). METHOD: About 503 breast cancer (BC) patients were prospectively measured by MG, ultrasound and clinical examination. Pearson's correlation to pathological tumor size (pT) was tested and the deviation of MG, BU and CE to pT was analyzed in subgroups defined by pT, grading (G), estrogen receptor (ER), progesteron receptor (PR), proliferation (MIB-1) and HER2/neu. Association of AU to pN was examined by chi(2)-test. Receiver operating characteristics (ROC) were used to test the prediction of a pT > 2 cm. RESULTS: Mammography correlated best with pT (r = 0.752). Mammography (mean (MG) = 2.17 cm) overestimated tumors in size (mean (pT) = 2.04 cm) rather than ultrasound (mean (BU) = 1.86 cm) and clinical examination (mean (cT) = 1.70 cm). pT of invasive ductal BC could be estimated significantly better than pT of invasive lobular BC. Smaller tumors were better to assess than larger ones. Tumors with a grading G1 were easier to estimate than tumors with G2/3. Best predictor of a pT > 2 cm was the mammography with an area under the curve of 0.876. The combination of all three modalities by linear regression performed even better with an AUC of 0.906. CONCLUSIONS: The dimension of invasive ductal carcinomas, small and low grading tumors is significantly better to estimate. Concerning treatment decisions, we propose a combination of all three modalities, as the best predictive value was seen for the complementary use of mammography, ultrasound and clinical examination.