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Published on: February 16, 2011
Values, decision-making and empirical bioethics: a conceptual model for empirically identifying and analyzing value
Marcel Mertz1, Ilvie Prince2, Ines Pietschmann3
1Institute for Ethics, History and Philosophy of Medicine, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany. mertz.marcel@mh-hannover.de.
This study introduces a value judgment model to understand ethical decision-making in bioethics. Applying this model to animal experimentation reveals how value judgments influence choices, improving empirical bioethics research.
Area of Science:
- Bioethics
- Empirical Bioethics
- Decision-Making Theory
Background:
- Value judgments are integral to all decision-making processes, guiding assessments of 'good' versus 'bad'.
- Understanding these judgments is crucial for ethical evaluation in biomedical practice.
- Empirical investigation of real-world decision-making, termed 'empirical bioethics', requires a clear theoretical framework for value judgments.
Purpose of the Study:
- To theoretically clarify the concept and components of value judgments.
- To present a novel value judgment model with its theoretical derivation.
- To illustrate the model's application in empirical research on biomedical decision-making.
Main Methods:
- Theoretical derivation of a conceptual model for value judgments.
- Application of the model in a qualitative interview study.
- Focus on decision-making processes concerning animal experimentation versus alternative methods in biomedical research.
Main Results:
- The developed value judgment model facilitates the uncovering of underlying value judgments in decision-making.
- The model aids in orienting empirical methods, such as qualitative interviews, to elicit specific value judgments.
- The application demonstrates the model's general utility in analyzing ethical dimensions of choices.
Conclusions:
- The presented value judgment model provides a framework for empirical bioethics research.
- The model enhances the ability to ethically assess and improve decision-making processes in biomedical contexts.
- Further applications of the model in diverse research areas and with different empirical methods are feasible.
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