This article was migrated. The article was marked as recommended. This paper explores the history behind the introduction and use of a 'learning conversation' as a mechanism of providing effective feedback to students on resuscitation courses. The authors hope the use of this style of feedback may useful in many other contexts to provide authentic feedback. The central aim of a learning conversation is to promote and support greater self-awareness of the individual student in order to develop competence and team leadership through critical inquiry ( Harri-Augstein & Thomas 1991). Learning, particularly in the context of resuscitation is demonstrated by the utilisation of "planned experience which brings about a change of behaviour" and the process is facilitated by feedback whether during skills teaching, in workshops or in simulation. The learning conversation uses empathic, active respectful listening and discussion shared between a small group of participants, facilitated by an instructor to ensure that key learning emerges from this process duly informing future practice and behaviours. A mnemonic has been developed to facilitate acquisition of the skills involved in this feedback. Faculty also require feedback to fully develop their feedback skills but once established the process makes both faculty and students share their feelings, frustrations and learning in a very positive learning climate. The learning conversation has been in use in resuscitation courses for almost six years and the authors feel there is a wealth of literature available to support this approach which can be usefully applied to facilitate learning in many small group teaching settings and the process of delivering a Learning conversation is detailed within the paper.
Enhancing patient comprehension of their health is crucial in improving health outcomes. The integration of artificial intelligence (AI) in distilling medical information into a conversational, legible format can potentially enhance health literacy. This review aims to examine the accuracy, reliability, comprehensiveness and readability of medical patient education materials (PEMs) simplified by AI models.
Communication can be a challenge for a significant minority of the population. Those with intellectual disability, autism, or Stroke survivors can encounter significant problems and stigma in their communication abilities leading to worse health and social outcomes. SpeechMatch (https://www.
Objectives: Explore short-term effects of "The Caregiver Pathway," an intervention for family caregiver follow-up, on Post-Intensive Care Syndrome symptoms among families (PICS-F).
Design: A randomized controlled trial.
Setting: A medical ICU at a Norwegian University Hospital.
Parental ethnic-racial socialization is a source of adolescents' resilience against ethnic-racial discrimination. Recent meta-analyses have documented the aspects of ethnic-racial socialization (i.e.
Background: Following the US Supreme Court decision overturning Roe v. Wade, there is evidence of limitations in access to safe abortion care. Artificially intelligent (AI)-enabled conversational chatbots are becoming an appealing option to support access to care, but generative AI systems can misinform and hallucinate and risk reinforcing problematic bias and stigma related to sexual and reproductive healthcare.
