Search

Background: Clinicians in their role as teachers and medical faculties were struggling to address the medical students’ needs regarding their medical education in times of COVID-19. They were especially confronted with several challenges regarding what medical training should look like and how to transfer medical training to integrate relevant skills like interpersonal or practical competencies. This study aimed to investigate the teachers’ perspectives on medical education and COVID-19 in general, including their distress level. Methods: This quantitative questionnaire study was distributed online among responsible lecturers of medical training at the Medical Faculty of Tuebingen. Teachers answered questions about the medical training, COVID-19 in general (on a seven point- Likert scale from “not at all” to “completely”) and their mental well-being (STAI). Descriptive data analysis and t-tests were performed. Results: The teachers reported being significantly (p

Background: Due to the corona pandemic, we conducted the Heidelberg module of the Master of Medical Education (MME) study program, which focuses on teaching and assessment of communicative and interpofessional skills, digitally for the first time.Method: We outsourced the teaching to a pre-module phase in the weeks upfront. During the module week, the lecturers picked up again and deepened the topics and the participants created, revised and simulated a virtual OSCE course. Results/Conclusion: Evaluation and reflection of the module showed that the digital implementation including an OSCE examination can be an appropriate alternative to a classroom-based training. However, important elements of the MME program that provide networking possibilities and personal exchange can only be replicated in the digital environment to a limited extent. In the future, sensibly applied digital components can be used to enrich the study program.

Over the past few years, there has been a sharp rise in the number of academic articles examining “Internet addiction” among medical students. This opinion piece views the Internet as a communication environment and a medical information tool within medical education. Within this context, the paper investigates the Internet Addiction Test (IAT) and criteria used in those articles, and questions their assumptions and conclusions. It then argues that what is often viewed as “addiction” may actually be dedication to work.

BackgroundPrevious research shows that being a “digital native” or growing up in a digital environment does not necessarily lead to increased digital competencies, such as digital health literacy or evaluation of webpage quality. ObjectiveThis study showed how medical students searched for health information online, specifically the recommended testing for histamine intolerance, by comparing the use of various search engines (Google, Medisuch, and a website of the student’s choice) to find out more about search strategies in future health professionals. As Medisuch presents a qualitatively better search engine, we assumed that medical students using this search engine might find valid information faster on more reliable webpages, and might recommend the correct diagnostic steps for histamine intolerance to their patients more often than students using a generic search engine like Google. MethodsMedical students in their third year of study were asked to find the relevant diagnostic steps of histamine intolerance online. They were randomly assigned to use one search engine: Google, their personal choice, or Medisuch. Their process of seeking information online was video recorded. ResultsIn total, 140 medical students participated in this study. The total number of webpages found did not differ among the groups (P=.52). Students using Medisuch (P=.02) correctly identified the elimination diet as a relevant diagnostic step more frequently. The provocation test was reported by almost half of the students independent of the search engine used. In general, medical students commonly identified trustworthy webpages in all three groups (Google: 36/44, 82%; free choice: 31/36; 86%; and Medisuch: 35/45, 78%). ConclusionsThe results indicate that medical students were able to find trustworthy health-related information online independent of the search engine used. Medical students that are digital natives seem to have proper internet skills and a knowledge of how to use them. They entered specific medical terms (evidence-based diagnostic steps) or names of reliable webpages (DocCheck) in the search engines to gain correct information. However, it remains to be seen if this behavior can be called true “digital literacy”.

Background and Objectives: Among the clinical skills needed by all physicians, history taking is one of the most important. The teaching model for peer-assisted history-taking groups investigated in the present study consists of small-group courses in which students practice conducting medical interviews with real patients. The purpose of this pilot study was to investigate the expectations, experiences, and subjective learning progress of participants in peer-assisted history-taking groups.Methods: The 42 medical student participants completed a 4-month, peer-assisted, elective history-taking course, which both began and ended with a subjective assessment of their interview skills by way of a pseudonymized questionnaire. Measures comprised the students’ self-assessment of their interview skills, their expectations of, and their experiences with the course and especially with the peer tutors. Results: Medical students’ most important motivations in attending peer-assisted history-taking groups were becoming able to complete a structured medical interview, to mitigate difficult interviewing situations, and to address patients’ emotional demands appropriately. By the end of the course, students’ self-assessment of both their interview skills and management of emotional issues improved significantly. Students especially benefitted from individual feedback regarding interview style and relationship formation, as well as generally accepted and had their expectations met by peer tutors. Conclusions: To meet the important learning objectives of history-taking and management of emotional issues, as well as self-reflection and reflection of student–patient interactions, students in the field greatly appreciate practicing medical interviewing in small, peer-assisted groups with real patients. At the same time, peer tutors are experienced to be helpful and supportive and can help students to overcome inhibitions in making contact with patients.

Generative Artificial Intelligence (GenAI) caught Health Professions Education (HPE) institutions off-guard, and they are currently adjusting to a changed educational environment. On the horizon, however, is Artificial General Intelligence (AGI) which promises to be an even greater leap and challenge. This Guide begins by explaining the context and nature of AGI, including its characteristics of multi-modality, generality, adaptability, autonomy, and learning ability. It then explores the implications of AGI on students (including personalised learning and electronic tutors) and HPE institutions, and considers some of the context provided by AGI in healthcare. It then raises the problems to address, including the impact on employment, social risks, student adaptability, costs, quality, and others. After considering a possible timeline, the Guide then ends by indicating some first steps that HPE institutions and educators can take to prepare for AGI. [ABSTRACT FROM AUTHOR]

The professional behavior of future doctors is increasingly important in medical education. One of the first subjects in the curriculum to address this issue is gross anatomy. The Tuebingen Medical Faculty implemented a learning portfolio and a seminar on medical professionalism during the dissection course. The aims of this research project are to get an overview of how students form a professional identity in the dissection course and to compare the content of both their oral and written reflections on the course. A qualitative analysis was conducted of the oral and written reflections on the dissection laboratory experience. This study was conducted during winter term 2013/2014 with a cohort of 163 participants in the regular dissection course. Written reflection texts (from n = 96 students) and audio recordings from four oral reflection seminar discussions (with n = 11 students) were transcribed and deductively categorized with Mayring's qualitative content analysis method. Both qualitative analyses show that students reflected on many topics relevant to professional development, including empathy, respect, altruism, compassion, teamwork, and self-regulation. Quantitative analysis reveals that students who attended the oral reflection wrote significantly more in their written reflection than students who did not. There is, however, no difference in the reflection categories. Reflection content from students corresponds with categories derived from existing competency frameworks. Both the seminar (oral reflections) and the learning portfolio (written reflections) present excellent opportunities to foster professional development during anatomy education; the key is using them in conjunction with the dissection course.

Introduction: International evidence strongly suggests that medical students are at high risk of mental health problems. This distress, which can be mediated by a variety of individual, interpersonal and contextual factors within the curriculum, can be mitigated by effective coping strategies and interventions. Central to this discourse is the recognition that the challenges of professional identity formation can contribute significantly to medical students' distress. The focus of our study is therefore to examine discrepancies in professional identities and role models in undergraduate medical education in relation to affective burden. Methods: Medical students at different stages of university education and high school graduates intending to study medicine were surveyed in a cross-sectional study. The study employed Osgood and Hofstätter's polarity profile to evaluate the self-image of participants, the image of an ideal and real physician, and their correlation with depression (PHQ-9) and anxiety (GAD-7). Results: Out of the 1535 students recruited, 1169 (76.2%) participated in the study. Students rated their self-image as somewhere between amore critical real image of physicians and a more positive ideal image. Medical students at all training levels consistently rated the ideal image as remaining constant. Significant correlations were found between the professional role models of medical students and affective symptoms, particularly for the discrepancy between the ideal image of a physician and their self-image. Furthermore, 17% and nearly 15% reported significant symptoms of depression and anxiety, respectively. Discussion: Our study adds to the growing body of knowledge on professional identity formation in medicine and socialisation in the medical environment. The study highlights the importance of discrepancies between self-image and ideal image in the experience of depressive and anxiety symptoms. Primary prevention-oriented approaches should incorporate these findings to promote reflective competence in relation to professional role models and strengthen the resilience of upcoming physicians in medical training. [ABSTRACT FROM AUTHOR]

Background:e-Health interventions are increasing in the field of organ transplantations; however, the literature lacks evidence regarding needs, attitudes, and preferences of organ recipients and donors during the course of an organ transplantation. Methods:In a cross-sectional study, 70 subjects were assessed using self-rated and validated questionnaires, such as the PRIME MD Patient Health Questionnaire (PHQ-D) and the Essen Resource Inventory (ERI). Group differences and a multiple linear regression were also applied. Results:Organ recipients had significantly higher scores for depression (U = 245.00, z = −2.65, p = 0.008, Cohen's d = 0.32), somatoform (U = 224.50, z = −2.99, p = 0.003, Cohen's d = 0.37), and stress syndromes (U = 266.00, z = −2.25, p = 0.008, Cohen's d = 0.27). They also named the internet and apps as resources to find information regarding organ transplants (U = 177.50, z = −2.07, p = 0.017, Cohen's d = 0.28; Z = −2.308, p = 0.021) and preferred to use apps to monitor the physical condition (Z = −2.12, p = 0.034) significantly more than organ donors. Anxiety and somatoform syndromes were significant predictors to search for information regarding the transplant process (F[6,38] = 3.98, p < 0.001; R2 = 0.386). Conclusions:e-Health interventions are promising in accompanying the course of an organ transplant for patients to be informed and educated. Predominantly, potential organ recipients might benefit from apps to record physical parameters. However, anxiety syndromes might hinder patients from searching for information about the transplant process, while somatoform syndromes might enable patients who are searching for such information. [ABSTRACT FROM AUTHOR]

This study aims to identify the distribution of the "Work-related behavior and experience patterns" (Arbeitsbezogenes Verhaltens-und Erlebnismuster, AVEM) in general practitioners and their teams by using baseline data of the IMPROVEjob study. Members of 60 general practices with 84 physicians in a leadership position, 28 employed physicians, and 254 practice assistants participated in a survey in 2019 and 2020. In this analysis, we focused on AVEM variables. Age, practice years, work experience, and working time were used as control variables in the Spearman Rho correlations and analysis of variance. The majority of the participants (72.1%) revealed a health-promoting pattern (G or S). Three of eleven AVEM dimensions were above the norm for the professional group "employed physicians". The AVEM dimensions "striving for perfection" (p < 0.001), "experience of success at work" (p < 0.001), "satisfaction with life" (p = 0.003), and "experience of social support" (p = 0.019) differed significantly between the groups' practice owners and practice assistants, with the practice owners achieving the higher values, except for experience of social support. Practice affiliation had no effect on almost all AVEM dimensions. We found a high prevalence of AVEM health-promoting patterns in our sample. Nearly half of the participants in all professional groups showed an unambitious pattern (S). Adapted interventions for the represented AVEM patterns are possible and should be utilized for maintaining mental health among general practice teams. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) in medicine and digital assistance systems such as chatbots will play an increasingly important role in future doctor - patient communication. To benefit from the potential of this technical innovation and ensure optimal patient care, future physicians should be equipped with the appropriate skills. Accordingly, a suitable place for the management and adaptation of digital assistance systems must be found in the medical education curriculum. To determine the existing levels of knowledge of medical students about AI chatbots in particular in the healthcare setting, this study surveyed medical students of the University of Luebeck and the University Hospital of Tuebingen. Using standardized quantitative questionnaires and qualitative analysis of group discussions, the attitudes of medical students toward AI and chatbots in medicine were investigated. From this, relevant requirements for the future integration of AI into the medical curriculum could be identified. The aim was to establish a basic understanding of the opportunities, limitations, and risks, as well as potential areas of application of the technology. The participants (N = 12) were able to develop an understanding of how AI and chatbots will affect their future daily work. Although basic attitudes toward the use of AI were positive, the students also expressed concerns. There were high levels of agreement regarding the use of AI in administrative settings (83.3%) and research with health-related data (91.7%). However, participants expressed concerns that data protection may be insufficiently guaranteed (33.3%) and that they might be increasingly monitored at work in the future (58.3%). The evaluations indicated that future physicians want to engage more intensively with AI in medicine. In view of future developments, AI and data competencies should be taught in a structured way during the medical curriculum and integrated into curricular teaching. [ABSTRACT FROM AUTHOR]