Objective: This study aimed to explore the content of conversations, feedback style, and perceived usefulness of feedback to trainee surgeons when conversations were stimulated by a tool for assessing surgeons' non-technical skills.
Methods: Trainee surgeons and their supervisors used the Non-Technical Skills for Surgeons in Denmark tool to stimulate feedback conversations. Audio recordings of post-operation feedback conversations were collected. Trainees and supervisors provided questionnaire responses on the usefulness and comprehensiveness of the feedback. The feedback conversations were qualitatively analyzed for content and feedback style. Usefulness was investigated using a scale from 1 to 5 and written comments were qualitatively analyzed.
Results: Six trainees and six supervisors participated in eight feedback conversations. Eighty questionnaires (response rate 83 percent) were collected from 13 trainees and 12 supervisors. Conversations lasted median eight (2-15) minutes. Supervisors used the elements and categories in the tool to structure the content of the conversations. Supervisors tended to talk about the trainees' actions and their own frames rather than attempting to understand the trainees' perceptions. Supervisors and trainees welcomed the feedback opportunity and agreed that the conversations were useful and comprehensive.
Conclusions: The content of the feedback conversations reflected the contents of the tool and the feedback was considered useful and comprehensive. However, supervisors talked primarily about their own frames, so in order for the feedback to reach its full potential, supervisors may benefit from training techniques to stimulate a deeper reflection among trainees.
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http://dx.doi.org/10.5116/ijme.54b4.2196 | DOI Listing |
Healthc Technol Lett
December 2024
Department of Intellectual Disability Neuropsychiatry, Research Team Cornwall Partnership NHS Foundation Trust Truro UK.
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.
View Article and Find Full Text PDFDigit Health
December 2024
Clinic Chat, LLC, Denver, CO, USA.
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.
View Article and Find Full Text PDFNed Tijdschr Geneeskd
December 2024
Jellinek, Amsterdam.
Introduction: Health professionals do not routinely ask patients about alcohol use, although it is associated with a range of somatic and psychological problems. Therefore, alcohol use may not be recognized as the cause of a health problem, which may result in worsening of the situation, incorrect diagnosis or incorrect treatment. This is illustrated by three cases from different clinical practices: the emergency department, the hospital ward and the general practice.
View Article and Find Full Text PDFJMIR Aging
December 2024
Cancer Prevention and Control, Duke Cancer Institute, Durham, NC, United States.
Background: Web-based advance care planning (ACP) interventions offer a promising solution to improve ACP engagement, but none are specifically designed to meet the needs of patients with heart failure and their caregivers.
Objective: We aimed to develop and assess the usability and acceptability of a web-based ACP decision aid called "My Voice," which is tailored for patients with heart failure and their caregivers.
Methods: This study's team and advisory board codeveloped the content for both patient and caregiver modules in "My Voice.
Proc ACM Interact Mob Wearable Ubiquitous Technol
November 2024
Dartmouth College, USA.
Mental health concerns are prevalent among college students, highlighting the need for effective interventions that promote self-awareness and holistic well-being. MindScape explores a novel approach to AI-powered journaling by integrating passively collected behavioral patterns such as conversational engagement, sleep, and location with Large Language Models (LLMs). This integration creates a highly personalized and context-aware journaling experience, enhancing self-awareness and well-being by embedding behavioral intelligence into AI.
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