Learner Experiences of Preceptor Self-Disclosure of Personal Illness in Medical Education.

PURPOSE: The notion of physician invulnerability to illness contributes to the ongoing marginalization of physicians with personal experiences of illness and complicates professional identity development in medical learners. As such, physician self-disclosure of lived experiences as patients has seen an increasing role in medical education. Existing literature, centered on mental health, has characterized the positive effect of physician discussion of experience with mental illness on medical students and residents. However, the ways learners process and understand physician illness stories beyond this context and their use in education remain unclear. This study aimed to explore undergraduate medical students' perspectives on physician illness discussions of both physical and mental illness, including their perceptions of its use as a pedagogical tool. METHOD: This qualitative study followed an interpretive descriptive design using activity theory as a sensitizing concept. Semistructured interviews with medical students were conducted between January and April 2022 at McMaster University in Hamilton, Ontario, Canada. The authors analyzed transcripts using reflexive thematic analysis. RESULTS: Twenty-one medical students participated in interviews. Although rare, self-disclosure conversations occurred across varied settings and addressed diverse aspects of illness experiences. Discussions involved teaching of pathophysiology, career advice, and wellness guidance. Five themes were developed: the opposition of physicianhood, patienthood, and situating the learner identity; invisibility and stigmatization of physician illness; impact of preceptor stories on learners' relationship with medicine; challenging the "rules" of physicianhood; and situating self-disclosure in medical education. CONCLUSIONS: Students strongly appreciated physician self-disclosure conversations. Self-disclosure can act as an effective pedagogical tool by fostering expansive learning among medical students. Further research is necessary to explore physician perspectives and supports for self-disclosure in education.

Pig Sedation and Anesthesia for Medical Research.

In clinical veterinary practice, proper training and expertise in anesthesia administration and monitoring are essential. Pigs are suitable experimental animals for many surgical techniques because they are similar in size to humans and have a short reproductive cycle. This makes them ideal for research concerning organ transplantation, cardiovascular surgery, and other procedures that require a large animal model. Sedation and premedication should be administered at the lowest dose to be effective with predictable results and reduced adverse effects, to ensure the safety of both the animal and the team involved in the procedure, with a fast onset and optimizing the induction and maintenance of anesthesia. The goal of induction is to achieve a safe and effective level of anesthesia that ensures patient safety and facilitates research. Most of the time, inhalation anesthesia with endotracheal intubation is the ideal choice for maintenance of anesthesia. The difficulties related to endotracheal intubation of pigs can be overcome by knowing the anatomical peculiarities. Effective analgesia tailored to the specific procedure, the pig's condition, and individual responses to medications should complete the maintenance and recovery protocols, reducing perioperative complications.

Clinical empathy as perceived by patients with chronic illness in Canada: a qualitative focus group study.

BACKGROUND: Although clinical empathy - the ability of a physician to understand a patient's illness experience, communicate this understanding and act collaboratively to create a treatment plan - provides substantial benefits to both physicians and patients, medical students typically experience a decline in empathy during training. The primary objective of this study was to generate a model of clinical empathy grounded in the perspectives of people with chronic illness living in Canada, to promote empathy-focused curricular development in Canadian medical education. METHODS: We conducted a qualitative focus group study using a constructivist grounded theory approach. We recruited adults (age ≥ 18 yr) with chronic illness who had recently seen a physician in Canada from virtual support groups. Six semistructured virtual focus groups with 3-5 participants each were scheduled between June and September 2021. We coded the transcripts using the constant comparative method, allowing for the construction of an overarching theory. RESULTS: Twenty patients (17 women and 3 men) participated in the focus groups; 1 group had 2 participants because 1 participant failed to appear. The majority of participants (14 [70%]) had at least a college degree. The mean rating for overall satisfaction with the Canadian health care system was 5.4/10.0 (median 5.0). The emergent theory showed that the perceived presence of physician empathy engendered positive internal processing by patients, leading to increased health care efficacy and enhanced mental health outcomes. Negative patient processing in response to the perceived absence of empathy led to reduced quality of health care delivery (e.g., ineffective referrals and more appointments), increased use of health care resources, disruptions in patients' personal lives, and negative physical and mental health outcomes. INTERPRETATION: Clinical empathy can have life-altering impacts on patients, and its absence may increase resource use. As empathy involves understanding patients' lived experiences, any valid intervention to improve clinical empathy must be informed by patient perspectives.

Exploring Patient Perspectives of Body Image Conversations in Primary Care: Understandings, Experiences, and Expectations.

Primary care physicians (PCPs) and patients identified body image conversations to be difficult but necessary. As first points of contact in the healthcare system, PCPs are ideal candidates for addressing body image concerns. Through latent thematic analysis of 12 interviews, this paper explores patient preferences with body image conversations in primary care. We identified challenges that patients faced in sharing body image concerns, expectations they hold for physicians, and suggested potential areas of future research and ways to improve care.

Is it good to be bad? An evolutionary analysis of the adaptive potential of psychopathic traits.

Although psychopathy is widely conceptualised as a mental disorder, some researchers question the maladaptive nature of psychopathy, and argue that it might be advantageous from an evolutionary point of view. According to this view, psychopathy can be seen as an evolutionary adaptative strategy that relies on deception and manipulation to gain short-term reproductive benefits. Psychopathy is also identified as a fast life strategy in response to early life stress and an adaptation to harsh environments. This paper investigates the evidence that psychopathic traits are adaptive, while also addressing the limitations of current evolutionary models of psychopathy based on frequency-dependent selection and life history theory. We review recent studies on the fitness correlates of psychopathy and find that psychopathic traits present potential adaptive trade-offs between fertility and mortality, and offspring quantity and quality. On a proximate level, individual differences in stress reactivity and environmental risk factors in early development predispose to psychopathy through gene-environment interactions. We propose that environmental, developmental, social and cultural factors can mediate the relationship between psychopathic traits and fitness and therefore should be considered to make accurate predictions on the adaptive potential of psychopathy. We end by outlining gaps in the literature and making recommendations for future evolutionary research on psychopathy.

Stakeholders' perspectives on the future of artificial intelligence in radiology: a scoping review.

OBJECTIVES: Artificial intelligence (AI) has the potential to impact clinical practice and healthcare delivery. AI is of particular significance in radiology due to its use in automatic analysis of image characteristics. This scoping review examines stakeholder perspectives on AI use in radiology, the benefits, risks, and challenges to its integration. METHODS: A search was conducted from 1960 to November 2019 in EMBASE, PubMed/MEDLINE, Web of Science, Cochrane Library, CINAHL, and grey literature. Publications reflecting stakeholder attitudes toward AI were included with no restrictions. RESULTS: Commentaries (n = 32), surveys (n = 13), presentation abstracts (n = 8), narrative reviews (n = 8), and a social media study (n = 1) were included from 62 eligible publications. These represent the views of radiologists, surgeons, medical students, patients, computer scientists, and the general public. Seven themes were identified (predicted impact, potential replacement, trust in AI, knowledge of AI, education, economic considerations, and medicolegal implications). Stakeholders anticipate a significant impact on radiology, though replacement of radiologists is unlikely in the near future. Knowledge of AI is limited for non-computer scientists and further education is desired. Many expressed the need for collaboration between radiologists and AI specialists to successfully improve patient care. CONCLUSIONS: Stakeholder views generally suggest that AI can improve the practice of radiology and consider the replacement of radiologists unlikely. Most stakeholders identified the need for education and training on AI, as well as collaborative efforts to improve AI implementation. Further research is needed to gain perspectives from non-Western countries, non-radiologist stakeholders, on economic considerations, and medicolegal implications. KEY POINTS: Stakeholders generally expressed that AI alone cannot be used to replace radiologists. The scope of practice is expected to shift with AI use affecting areas from image interpretation to patient care. Patients and the general public do not know how to address potential errors made by AI systems while radiologists believe that they should be "in-the-loop" in terms of responsibility. Ethical accountability strategies must be developed across governance levels. Students, residents, and radiologists believe that there is a lack in AI education during medical school and residency. The radiology community should work with IT specialists to ensure that AI technology benefits their work and centres patients.