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In the context of the COVID-19 pandemic, there has been a scarcity of resources with various effects on the care of cancer patients. This paper provides an English summary of a German guideline on prioritization and resource allocation for colorectal and pancreatic cancer in the context of the pandemic. Based on a selective literature review as well as empirical and ethical analyses, the research team of the CancerCOVID Consortium drafted recommendations for prioritizing diagnostic and treatment measures for both entities. The final version of the guideline received consent from the executive boards of nine societies of the Association of Scientific Medical Societies in Germany (AWMF), 20 further professional organizations and 22 other experts from various disciplines as well as patient representatives. The guiding principle for the prioritization of decisions is the minimization of harm. Prioritization decisions to fulfill this overall goal should be guided by (1) the urgency relevant to avoid or reduce harm, (2) the likelihood of success of the diagnostic or therapeutic measure advised, and (3) the availability of alternative treatment options. In the event of a relevant risk of harm as a result of prioritization, these decisions should be made by means of a team approach. Gender, age, disability, ethnicity, origin, and other social characteristics, such as social or insurance status, as well as the vehemence of a patient's treatment request and SARS-CoV-2 vaccination status should not be used as prioritization criteria. The guideline provides concrete recommendations for (1) diagnostic procedures, (2) surgical procedures for cancer, and (3) systemic treatment and radiotherapy in patients with colorectal or pancreatic cancer within the context of the German healthcare system. [ABSTRACT FROM AUTHOR]

The procedures of prenatal and preimplantation diagnostics are discussed critically again and again in our community. In addition to the permanently controversial issues of embryo protection and abortion, considerations that discrimination on the basis of disability could occur with problematic consequences also for already born people with disabilities and their relatives now play a central role. [ABSTRACT FROM AUTHOR]

Objectives: Potential opportunities and challenges of predictive genetic risk classification of healthy persons are currently discussed. However, the budgetary impact of rising demand is uncertain. This project aims to evaluate budgetary consequences of predictive genetic risk classification for statutory health insurance in Germany.Methods: A Markov model was developed in the form of a cohort simulation. It analyzes a population of female relatives of hereditary breast cancer patients. Mutation carriers are offered intensified screening, women with a BRCA1 or BRCA2 mutation can decide on prophylactic mastectomy and/or ovarectomy. The model considers the following scenarios: (a) steady demand for predictive genetic testing, and (b) rising demand. Most input parameters are based on data of the German Consortium for Hereditary Breast and Ovarian Cancer. The model contains 49 health states, starts in 2015, and runs for 10 years. Prices were evaluated from the perspective of statutory health insurance.Results: Steady demand leads to an expenditure of €49.8 million during the 10-year period. Rising demands lead to additional expenses of €125.5 million. The model reveals the genetic analysis to be the main cost driver while cost savings in treatment costs of breast and ovarian cancer are indicated.Conclusions: The results contribute to close the knowledge gap concerning the budgetary consequences due to genetic risk classification. A rising demand leads to additional costs especially due to costs for genetic analysis. The model indicates budget shifts with cost savings due to breast and ovarian cancer treatment in the scenario of rising demands. [ABSTRACT FROM AUTHOR]

Background: Risk-adjusted cancer screening and prevention is a promising and continuously emerging option for improving cancer prevention. It is driven by increasing knowledge of risk factors and the ability to determine them for individual risk prediction. However, there is a knowledge gap between evidence of increased risk and evidence of the effectiveness and efficiency of clinical preventive interventions based on increased risk. This gap is, in particular, aggravated by the extensive availability of genetic risk factor diagnostics, since the question of appropriate preventive measures immediately arises when an increased risk is identified. However, collecting proof of effective preventive measures, ideally by prospective randomized preventive studies, typically requires very long periods of time, while the knowledge about an increased risk immediately creates a high demand for action., Summary: Therefore, we propose a risk-adjusted prevention concept that is based on the best current evidence making needed and appropriate preventive measures available, and which is constantly evaluated through outcome evaluation, and continuously improved based on these results. We further discuss the structural and procedural requirements as well as legal and socioeconomical aspects relevant for the implementation of this concept., Competing Interests: The authors have no conflicts of interest to declare., (Copyright © 2021 by S. Karger AG, Basel.)

This article is a revised version of our proposal for the establishment of the legal concept of risk-adjusted prevention in the German healthcare system to regulate access to risk-reduction measures for persons at high and moderate genetic cancer risk (Meier et al. Risikoadaptierte Prävention'. Governance Perspective für Leistungsansprüche bei genetischen (Brustkrebs-)Risiken, Springer, Wiesbaden, 2018). The German context specifics are summarized to enable the source text to be used for other country-specific healthcare systems. Establishing such a legal concept is relevant to all universal and free healthcare systems similar to Germany's. Disease risks can be determined with increasing precision using bioinformatics and biostatistical innovations ('big data'), due to the identification of pathogenic germ line mutations in cancer risk genes as well as non-genetic factors and their interactions. These new technologies open up opportunities to adapt therapeutic and preventive measures to the individual risk profile of complex diseases in a way that was previously unknown, enabling not only adequate treatment but in the best case, prevention. Access to risk-reduction measures for carriers of genetic risks is generally not regulated in healthcare systems that guarantee universal and equal access to healthcare benefits. In many countries, including Austria, Denmark, the UK and the US, entitlement to benefits is essentially linked to the treatment of already manifest disease. Issues around claiming benefits for prophylactic measures involve not only evaluation of clinical options (genetic diagnostics, chemoprevention, risk-reduction surgery), but the financial cost and-from a social ethics perspective-the relationship between them. Section 1 of this chapter uses the specific example of hereditary breast cancer to show why from a medical, social-legal, health-economic and socio-ethical perspective, regulated entitlement to benefits is necessary for persons at high and moderate risk of cancer. Section 2 discusses the medical needs of persons with genetic cancer risks and goes on to develop the healthy sick model which is able to integrate the problems of the different disciplines into one scheme and to establish criteria for the legal acknowledgement of persons at high and moderate (breast cancer) risks. In the German context, the social-legal categories of classical therapeutic medicine do not adequately represent preventive measures as a regular service within the healthcare system. We propose risk-adjusted prevention as a new legal concept based on the heuristic healthy sick model. This category can serve as a legal framework for social law regulation in the case of persons with genetic cancer risks. Risk-adjusted prevention can be established in principle in any healthcare system. Criteria are also developed in relation to risk collectives and allocation (Sects. 3, 4, 5).