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Unlocking Menstrual Health: Using Menstrual Blood for Endometriosis Detection

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Welcome and thank you for being part of this study!

Important information about the study

Studientitel: AI-Driven Analysis of Menstrual Blood: Diagnosing Endometriosis through Image Processing

Purpose of the Study: The overall objective of this project is to create a robust dataset of menstrual blood images paired with health status information with women suffering from endometriosis in Germany and to propose a novel application of Machine Learning-based image processing to analyse them. Therefore, perceptions, practices and attitudes of women and gynaecologists on using menstrual blood for health assessment will be explored.

Procedures: The answering of the survey questions is expected to take approximately 10 minutes.

Possible Risks and benefits: Since this survey collects sensitive data, there is a risk to confidentiality. However, this risk is minimized as participation is completely anonymous. By taking part in this study, you will contribute to the development of non-invasive diagnostic alternatives for endometriosis. Additionally, your participation will help promote the discussion of menstruation in medical research.

Voluntary Participation: Your participation in this study is voluntary and you may choose not to participate or end your participation at any time without penalty.

Ethical considerations: This study follows the usual ethical principles for scientific research. As a participant, you have the opportunity to share your priorities and values regarding this research. You may also be involved in research design, implementation, and result dissemination. If you would like to contribute beyond this survey, please contact ruth.niedermeier@med.uni-muenchen.de.

Note: In this study, we use the term "women" but include all menstruating individuals regardless of gender identity.

Questions or Concerns: If you have any questions about the study or your rights as a participant, please feel free to contact the researcher:

Ruth Niedermeier
Ruth.Niedermeier@med.uni-muenchen.de

Curious about more information on the study and current research on the topic of menstrual blood in diagnostics? Take a look here: https://menstrualbloodai.my.canva.site/mai

There are 23 questions in this survey.

This survey is anonymous.

The record of your survey responses does not contain any identifying information about you, unless a specific survey question explicitly asked for it.

If you used an identifying access code to access this survey, please rest assured that this code will not be stored together with your responses. It is managed in a separate database and will only be updated to indicate whether you did (or did not) complete this survey. There is no way of matching identification access codes with survey responses.

Data usage notice

No personal data will be requested from you; please do not enter any personal or personally identifiable data.

An anonymous survey has been configured with the settings made, but the following data transmitted by your browser will still be registered:
- Anonymised, shortened IP address of the requesting computer
- Date and time of the request
- Access method/function requested by the requesting computer
- Input values transmitted by the requesting computer (file name etc.)
- Access status of the web server (file transferred, file not found, command not executed, etc.)
- Name of the requested file
- URL from which the file was requested/the desired function was initiated
- Type and version of the browser used
- Operating system
- Internet service provider of the user
- Average time spent on the website
- pages accessed
- access times
- end devices used

We collect this data to support technical operations. It is only analysed in the event of support. We store this data for a period of 3 months.
This means that there is no entry in the survey database in the ‘data table’ of ‘who, when, from where’ called up the survey and sent in entries.
Should you nevertheless provide personal or personally identifiable data, we will treat your personal data confidentially. The provision of your personal data is voluntary. It will not be passed on or transmitted to third parties. Your data will be deleted immediately upon receipt.

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