Inwiefern beeinflussen Faktoren von Virtuellen Patient*innen die klinische Entscheidungsfindung von Studierenden

Hiedl, Meike Teresa (2024): Inwiefern beeinflussen Faktoren von Virtuellen Patient*innen die klinische Entscheidungsfindung von Studierenden. Dissertation, LMU München: Medizinische Fakultät

Abstract

Introduction: In medical education, virtual patients (VPs) are a suitable method to teach clinical reasoning (CR) and to support the visualization of this reasoning process in a safe environment. One aim of our study was to investigate differences in CR and diagnostic accuracy between female and male medical students. Another aim was to examine the influence of patient-dependent contextual factors - skin color, socioeconomic status, and sexual orientation - on CR and diagnostic accuracy when processing VPs. Methods: During the summer semester 2020, we provided 15 VPs online for students enrolled in medical schools in Bavaria and collected the interactions of the 179 participating students, divided into the groups "male" and "female students", in the VP system CASUS including, among others, collected findings, differential diagnoses, final diagnosis and therapy options. The data from this randomized study was exported and analyzed pseudonymously. Results: We found some significant differences in CR between female and male students. For example, female students documented more findings, differential diagnoses, tests, and treatment options and wrote a brief summary of VPs more frequently, but we did not find significant differences in diagnostic accuracy. Contextual factors had a different impact on CR, for example, we found that male students documented more differential diagnoses and female students documented more treatment options for "Black" VPs. Conclusions: Our study showed significant differences between male and female students and there is a possibility that prejudice against minorities plays a role in this. The significant differences between male and female medical students should be considered in the design of curricula and training programs and diversity education should be incorporated into the medical curriculum.

• Dokumententyp: Dissertationen (Dissertation, LMU München)
• Keywords: clinical reasoning, virtual patients, medical education, Contextual factors, gender disparities
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften ; 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• Fakultäten: Medizinische Fakultät
• Sprache der Hochschulschrift: Deutsch
• Datum der mündlichen Prüfung: 13. Dezember 2024
• 1. Bericht­erstatter:in: Hege, Inga