Objectives: "Medical necessity" (MedN) is a fuzzy term. Our project aims at concretising the concept between medical ethics, social law, and social medicine to support health care regulation, primarily within Germany's statutory health insurance system. In Part I, we identified efficacy, (net)benefit, and the corresponding bodies of evidence as obligatory criteria of MedN. This is the second part suggesting and discussing further criteria.
Methods: See Part I RESULTS: (Part II): As further MedN-criteria we critically assessed a method's effectiveness and acceptance in routine care, its potential beneficiaries, theoretical fundament, cost, and being without alternative as well as patients' self-responsibility, cooperation, and preferences. Since MedN has both lower and upper bounds, we had to consider certain cases of mis- and overuse, due for instance to "indication creep" or "disease mongering".
Conclusions: The additional criteria neither establish MedN (when met singly or together) nor exclude it (when not met). If MedN is rejected in view of the 3 obligatory criteria then further information does not overturn the verdict. If a method is already assessed as being medn then further criteria do not make it "more or less necessary". Though we advocated for a binary MedN-concept (Part I) we are nonetheless convinced that not all medical methods deemed medn are equally medically relevant. Respective differences within the range of MedN could be assessed by techniques to prioritise medical conditions, methods, and aims.
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http://dx.doi.org/10.1055/a-0965-6748 | DOI Listing |
Anal Chem
January 2025
Department of Breast Surgery, The Second Hospital of Shandong University, Jinan, Shandong 250033, China.
Early prediction of the neoadjuvant therapy efficacy for HER2-positive breast cancer is crucial for personalizing treatment and enhancing patient outcomes. Exosomes, which play a role in tumor development and treatment response, are emerging as potential biomarkers for cancer diagnosis and efficacy prediction. Despite their promise, current exosome detection and isolation methods are cumbersome and time-consuming and often yield limited purity and quantity.
View Article and Find Full Text PDFGesundheitswesen
June 2022
Institute for Ethics, History and Philosophy of Medicine, University of Munster, Munster, Deutschland.
The concept of a 'medical necessity' (medN) of interventions is used as a dichotomous attribute with steering and orientating function in various contexts without, however, being precisely defined. We see this lack as a virtue if medN is understood as the dynamic result of transparent, trustworthy, and coherent deliberative procedures on both facts and norms. We suggest using the medN concept relative to health care systems, but independent of economic aspects.
View Article and Find Full Text PDFGesundheitswesen
November 2019
Institut für Ethik, Geschichte und Theorie der Medizin; Westfälische Wilhelms-Universität Münster, Münster.
Objectives: "Medical necessity" (MedN) is a fuzzy term. Our project aims at concretising the concept between medical ethics, social law, and social medicine to support health care regulation, primarily within Germany's statutory health insurance system. In a previous publication we identified MedN as a tripartite predicate: A specific clinical condition requires a specific medical intervention to reach a specific medical goal.
View Article and Find Full Text PDFGesundheitswesen
November 2019
Institut für Ethik, Geschichte und Theorie der Medizin; Westfälische Wilhelms-Universität Münster, Münster.
Objectives: "Medical necessity" (MedN) is a fuzzy term. Our project aims at concretising the concept between medical ethics, social law, and social medicine to support health care regulation, primarily within Germany's statutory health insurance system. In Part I, we identified efficacy, (net)benefit, and the corresponding bodies of evidence as obligatory criteria of MedN.
View Article and Find Full Text PDFMed Image Anal
December 2017
Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China. Electronic address:
Diffusion magnetic resonance imaging (dMRI) captures the anisotropic pattern of water displacement in the neuronal tissue and allows noninvasive investigation of the complex tissue microstructure. A number of biophysical models have been proposed to relate the tissue organization with the observed diffusion signals, so that the tissue microstructure can be inferred. The Neurite Orientation Dispersion and Density Imaging (NODDI) model has been a popular choice and has been widely used for many neuroscientific studies.
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