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Development and linguistic validation of the German "Multidimensional Impact of Cancer Risk Assessment" (MICRA)
Yvonne Mergel1, Joelle Ronez2, Fabian Ecke1
1Comprehensive Cancer Center Hannover, Hannover Medical School, Hannover, Germany.
Journal of Genetic Counseling
|June 2, 2026
Summary
A new German version of the Multidimensional Impact of Cancer Risk Assessment (MICRA) questionnaire was created for genetic testing. This tool helps assess psychosocial stress and uncertainty in hereditary cancer risk assessment.
Area of Science:
- Psychology
- Genetics
- Medical Informatics
Background:
- Hereditary cancer syndromes require adapted therapy and preventive measures.
- Genetic testing for cancer risk can cause significant psychosocial stress.
- Patient-reported outcome measures (PROMs) are crucial for assessing this stress.
Purpose of the Study:
- To develop a linguistically validated German version of the MICRA questionnaire.
- To explore the utility of AI translation tools in the validation process.
- To provide a reliable tool for assessing psychosocial impact in German-speaking populations undergoing genetic risk assessment.
Main Methods:
- Linguistic validation followed the FACIT methodology, including forward and back-translations and expert review.
- Cognitive debriefing interviews were conducted with 10 individuals undergoing genetic counseling for hereditary breast and ovarian cancer.
- AI translation tools (ChatGPT-4o, DeepL) were compared with human translation for specific items.
Main Results:
- A German MICRA version was successfully developed and demonstrated good understanding among participants.
- No participants required assistance, and minor issues did not necessitate changes.
- AI tools missed nuances, highlighting the need for human oversight in complex translations.
Conclusions:
- The study provides the first linguistically validated German MICRA questionnaire.
- This tool is valuable for assessing psychosocial outcomes in genetic counseling and research.
- AI shows promise as a supportive tool but cannot replace expert human review in nuanced translation tasks.