gms | German Medical Science

Gesundheit – gemeinsam. Kooperationstagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Deutschen Gesellschaft für Sozialmedizin und Prävention (DGSMP), Deutschen Gesellschaft für Epidemiologie (DGEpi), Deutschen Gesellschaft für Medizinische Soziologie (DGMS) und der Deutschen Gesellschaft für Public Health (DGPH)

08.09. - 13.09.2024, Dresden

Consideration of gender and sex in biomedical research data: First results from a survey across German Data Integration Centers

Meeting Abstract

  • Lea Schindler - Medical Informatics Laboratory, University Medicine Greifswald, Greifswald, Germany
  • Hilke Beelich - Medical Informatics Laboratory, University Medicine Greifswald, Greifswald, Germany
  • Elpiniki Katsari - Heart Surgery, University Medicine Greifswald, Greifswald, Germany
  • Sylvia Stracke - Internal Medicine, University Medicine Greifswald, Greifswald, Germany
  • Dagmar Waltemath - Medical Informatics Laboratory, University Medicine Greifswald, Greifswald, Germany; Core Unit Data Integration Center, University Medicine Greifswald, Greifswald, Germany

Gesundheit – gemeinsam. Kooperationstagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Deutschen Gesellschaft für Sozialmedizin und Prävention (DGSMP), Deutschen Gesellschaft für Epidemiologie (DGEpi), Deutschen Gesellschaft für Medizinische Soziologie (DGMS) und der Deutschen Gesellschaft für Public Health (DGPH). Dresden, 08.-13.09.2024. Düsseldorf: German Medical Science GMS Publishing House; 2024. DocAbstr. 673

doi: 10.3205/24gmds016, urn:nbn:de:0183-24gmds0169

Published: September 6, 2024

© 2024 Schindler et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.


Outline

Text

Introduction: Consideration of sex and gender enhances study design, research quality, contributes to social equality, and enhances the quality of medical care [1]. The German Ethics Council defines gender as socially constructed, evolving through biological and psychological factors, along with an individual's social biography and role in society [2]. Recently, German medical Data Integration Centers (DIC) have been established by the Medical Informatics Initiative [3] to collect, transfer, consolidate, and process routine clinical data and make it available for use in health research [4]. We argue that DIC staff members need to be well-informed and knowledgeable about research quality gain in order to advise their clients on thoughtful selection of study cohorts, appropriate encoding of gender information, and the benefits of analyzing datasets regarding gender distributions. Therefore, this work aims to systematically analyze the level of knowledge of technical and scientific staff members at the DIC regarding the encoding of sex and gender in routine research data.

Methods: We developed a survey to assess the level of knowledge about sex and gender in medical research as described above. The survey was structured into three topics: (1) knowledge of gender aspects in medical research, (2) consideration of gender in data collection, and (3) consideration of gender in data use and reuse. It was developed by five domain experts, three with a primary background in medicine, one with a background in medical informatics, and one with a background in medical documentation. The resulting questionnaire [5] contains eight single-choice and three multiple-choice questions with short-answer options.

Results: The survey was distributed via the national mailing list of the 34 DIC. After a four-week response period, 74 current employees had fully completed the questionnaire and an additional 62 had partially completed it. Preliminary analysis suggests that staff members are insufficiently trained regarding gender and gender-related variables. Specifically, when asked whether employees were trained on the relevance of gender or gender variables, see Question 2 [5], the majority of 66,2% reported that they had not received any training (14,9% answered “do not know”, 9,5% “yes”, 9,5% chose not to specify).

Discussion: The survey results indicate a lack of knowledge or awareness of gender among DIC employees. However, a small fraction of sites has already implemented training to increase awareness. Further descriptive analysis will be performed on the established dataset to gain more insight into this matter. Specifically, future research will investigate the reason and background of the knowledge gap, examine gender encoding in primary clinical system and review international efforts for gender encoding in this regard.

Conclusion: DIC are established as central units for access to clinical research data. Therefore, it is crucial to further educate employees about sex, gender and gender scores. Our survey data, collected in the context of the program Excellence through Inclusiveness in Medicine (InkE), funded by the German Federal Ministry of Education and Research (01FP23G10A, 01FP23G10B), can serve as basis for establishing a nationwide program for better gender awareness and a standardized training of researchers in all DIC.

The authors declare that they have no competing interests.

The authors declare that an ethics committee vote is not required.


References

1.
Tannenbaum C, Ellis RP, Eyssel F, Zou J, Schiebinger L. Sex and gender analysis improves science and engineering. Nature. 2019; 575(7781):137-146. DOI: 10.1038/s41586-019-1657-6 External link
2.
German Ethics Council. Opinion: Intersexuality. Berlin: German Ethics Council; 2013. P. 26-32. ISBN: 978-3-941957-50-3
3.
Ammon D, Kurscheidt M, Buckow K, Kirsten T, Löbe M, Meineke F, Prasser F, Saß J, Sax U, Stäubert S, Thun S, Wettstein R, Wiedekopf JP, Wodke JAH, Boeker M, Ganslandt T. Arbeitsgruppe Interoperabilität: Kerndatensatz und Informationssysteme für Integration und Austausch von Daten in der Medizininformatik-Initiative [Interoperability Working Group: core dataset and information systems for data integration and data exchange in the Medical Informatics Initiative]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2024 Jun;67(6):656-667. DOI: 10.1007/s00103-024-03888-4 External link
4.
Albashiti F, Thasler R, Wendt T, Bathelt F, Reinecke I, Schreiweis B. Die Datenintegrationszentren – Von der Konzeption in der Medizininformatik-Initiative zur lokalen Umsetzung in einem Netzwerk Universitätsmedizin [Data integration centers-from a concept in the Medical Informatics Initiative to its local implementation in the Network of University Medicine]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2024 Jun;67(6):629-636. DOI: 10.1007/s00103-024-03879-5 External link
5.
Schindler L, Beelich H, Katsari E, Stracke S, Waltemath D. Survey Questionnaire: Knowledge of Gender in German Data Integration Centers [Dataset]. Zenodo; 2024. DOI: 10.5281/zenodo.11050657 External link