iKNOWgynetics – A web‐based learning concept to empower primary care gynecologists to participate in the care of patients with a family history of breast and ovarian cancer

dc.contributor.authorSpeiser, Dorothee
dc.contributor.authorKendel, Friederike
dc.contributor.authorFechner, Karen
dc.contributor.authorOlbrich, Christine
dc.contributor.authorStegen, Stephanie
dc.contributor.authorHäring, Stephanie
dc.contributor.authorRörig, Alina
dc.contributor.authorFeufel, Markus A.
dc.date.accessioned2024-04-26T16:40:36Z
dc.date.available2024-04-26T16:40:36Z
dc.date.issued2023-07-14
dc.date.updated2024-04-15T22:36:29Z
dc.description.abstractFamilial cancer burden and genetics play an increasingly important role in the early detection and prevention of gynecological cancers. However, people with hereditary cancer risks are often identified late when they already have cancer. We aimed at developing and evaluating a training concept for primary care gynecologists—iKNOWgynetics—to improve their knowledge and awareness of genetic cancer syndromes and their ability to identify patients with increased familial cancer risks based on up-to-date evidence and current guidelines (in Germany, primary care includes all doctors treating patients on an outpatient basis without a clear separation of the expertise of the doctor or of their specialty). Starting off with a needs assessment among primary care gynecologists, we developed and evaluated an online training concept—using a web-based learning platform in combination with a live virtual seminar—to convey practice-relevant knowledge about familial cancer. After registration, participants get access to the web-based learning platform (www.iknowgynetics.de) to prepare for the virtual seminars and to use it as online reference to re-access the contents after the training. Evaluation included multiple-choice (MC) questions on knowledge and participants' self-efficacy to implement the acquired knowledge, which were administered in a pre-post design. Of 109 participants, 103 (94.5%) filled out pre- and post-questionnaires. Eighty-five participants were gynecologists in primary care from Berlin (81.2%) and Brandenburg (18.8%) and had an average of 24.1 years (SD = 8.5 years) of professional experience. After the training, participants answered significantly more knowledge questions correctly (M = 15.2 of 17, SD = 1.3) than before (M = 13.8 of 17, SD = 1.7) (p < 0.01) and felt more confident to be able to apply referral criteria for specialized counseling in practice (p < 0.001). The online-based training iKNOWgynetics considers the busy schedule of primary care gynecologists and supports them in acquiring practice-relevant information on familial cancer risks and on how to identify healthy persons at risk, which may ultimately help to improve the prevention of gynecological cancers. In future studies, the reported concept could be transferred to other entities.en
dc.identifier.eissn1573-3599
dc.identifier.issn1059-7700
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/21537
dc.identifier.urihttps://doi.org/10.14279/depositonce-20337
dc.language.isoen
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.subject.otherdigital learning
dc.subject.othereducation
dc.subject.otherfamilial cancer risk
dc.subject.othergenetic counseling
dc.subject.otherprimary care
dc.subject.othertranssectoral care
dc.titleiKNOWgynetics – A web‐based learning concept to empower primary care gynecologists to participate in the care of patients with a family history of breast and ovarian canceren
dc.typeArticle
dc.type.versionpublishedVersion
dcterms.bibliographicCitation.doi10.1002/jgc4.1750
dcterms.bibliographicCitation.issue1
dcterms.bibliographicCitation.journaltitleJournal of Genetic Counselingen
dcterms.bibliographicCitation.originalpublishernameWiley
dcterms.bibliographicCitation.originalpublisherplaceNew York, NY
dcterms.bibliographicCitation.pageend196
dcterms.bibliographicCitation.pagestart189
dcterms.bibliographicCitation.volume33
dcterms.rightsHolder.referenceCreative-Commons-Lizenz
tub.accessrights.dnbfree
tub.affiliationFak. 5 Verkehrs- und Maschinensysteme::Inst. Psychologie und Arbeitswissenschaft::FG Arbeitswissenschaft
tub.publisher.universityorinstitutionTechnische Universität Berlin

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