Micromanagement in clinical supervision: a scoping review.

Micromanagement in clinical supervision in health professions education generally refers to supervision characterized by unproductive excessive control and attention to detail. It can affect autonomy, competence, well-being of learners, teamwork, and ultimately patient care. Despite its potential negative impact on learners and patients, no comprehensive review of this phenomenon has been conducted. This scoping review aims to explore the breadth of extant literature concerning micromanagement in clinical supervision in health professions education and map the body of research on the topic. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis: Extension for Scoping Review (PRISMA-ScR). We searched eight databases, and the final review and analysis comprised 12 articles that examined micromanagement in clinical supervision across health professions education. Micromanagement was conceptualized as ineffective supervisory practices such as undue scrutiny, excessive control, domination, and ineffectual leadership. Conversely, alternatives to micromanagement included entrusting or granting autonomy, coaching for independent practice, and providing effective supervision and leadership. Overall, micromanagement was attributed to individual behavioral and personality factors, such as distrust, perfectionism, self-conviction, and low self-esteem. The consequences of micromanagement included inadequacies in professional development and well-being of trainees and patient care, and organizational dysfunction. Suggested solutions included entrusting or empowering trainees with encouragement and clear communication, open communication efforts by trainees, organizational management for quality supervision, and faculty's valuing both clinical and educational goals. Current literature on micromanagement-in the context of clinical supervision in health professions education-was found to be sparse, implying a need for more rigorous research and discourse on this understudied area. The findings can be used to recognize, solve, and prevent the prevalent, and often unrecognized, phenomena of micromanagement, which may improve clinical supervision, the professional development of trainees and faculty, organizational management, and ultimately patient care.

The Emerging Role of Generative Artificial Intelligence in Medical Education, Research, and Practice.

Recent breakthroughs in generative artificial intelligence (GAI) and the emergence of transformer-based large language models such as Chat Generative Pre-trained Transformer (ChatGPT) have the potential to transform healthcare education, research, and clinical practice. This article examines the current trends in using GAI models in medicine, outlining their strengths and limitations. It is imperative to develop further consensus-based guidelines to govern the appropriate use of GAI, not only in medical education but also in research, scholarship, and clinical practice.

Role Modeling in Medical Education: A Twenty-First Century Learner's Perspective.

Traditional role modeling is a complex process of observation and emulation delivered by experienced senior physicians with an unknown outcome. Role modeling through organized modalities has been utilized as an educational tool in medical school for years. However, effects of parenting, near peers, gender, race, and social media on role modeling in medical education have not been well characterized yet play a significant role in the development of modern clinicians. The aim of this paper is to encourage students as future medical and clinical educators through an in-depth analysis of role modeling, with the goal of improving their "role modeling consciousness."

Health Science Education in International Context: Strategies for Bridging Cultural Differences.

With increasing globalization, many students and staff are experiencing how difficult it is to work in a different culture. Different ways of communicating, for example, can lead to misunderstandings, as the results of a small survey show. This article proposes a workshop to support people who work internationally.

Emotional intelligence in undergraduate medical students: a scoping review.

PURPOSE: To perform a scoping review to determine what is known about emotional intelligence (EI) in undergraduate medical education (UME). Two main questions were asked: A. What medical student characteristics are associated with EI? Are there correlations with demographic or other factors? B. What research studies have been done on EI in UME? For example, is there evidence EI changes over time as a result of personal experiences? Should EI be used as an admission criterion? Can EI improve as a result of experiences or deliberate interventions? METHOD: The authors searched four databases (PubMed, PsycInfo, Education Resources Information Center, and Web of Science) for all papers published up to and including December 2020. Two reviewers independently screened articles to determine if they met inclusion criteria. All authors extracted and analyzed data. RESULTS: A set of 1520 papers on the topic of emotional intelligence was identified, with 119 papers meeting inclusion criteria. Most studies were done at international locations with only 17 done at US medical schools. Seventy-five were cohort or cross-sectional studies. Study populations were mixed among the studies, with year of medical study, inclusion of other healthcare students, and participation rates among the inter-study differences noted. CONCLUSIONS: Numerous gaps in the literature on EI exist with several points being clear: (1) there is disagreement on the definition of EI, (2) it is undetermined whether EI is a trait or an ability, and (3) there is marked variability among the instruments used to measure EI. It is also becoming apparent that using EI determination may be helpful as a component of the admission process, higher EI is likely related to improved clinical reasoning, and higher EI contributes to more effective stress management.

Identifying facilitators and barriers for implementation of interprofessional education: Perspectives from medical educators in the Netherlands.

Patient care and patient safety can be compromised by the lack of interprofessional collaboration and communication between healthcare providers. Interprofessional education (IPE) should therefore start during medical training and not be postponed until after graduation. This case study explored the current situation in the Dutch context and interviewed experts within medical education and with pioneers of successful best practices to learn more about their experiences with IPE. Data analysis started while new data were still collected, resulting in an iterative, constant comparative process. Using a strengths, weaknesses, opportunities, and threats (SWOT) analysis framework, we identified barriers and facilitators such as lack of a collective professional language, insufficient time or budget, stakeholders' resistance, and hierarchy. Opportunities and strengths identified were developing a collective vision, more attention for patient safety, and commitment of teachers. The facilitators and barriers relate to the organisational level of IPE and the educational content and practice. In particular, communication, cohesiveness, and support are influenced by these facilitators. An adequate identification of the SWOT elements in the current situation could prove beneficial for a successful implementation of IPE within the healthcare educational system.

Variables that affect the process and outcome of feedback, relevant for medical training: a meta-review.

CONTEXT: Feedback is considered important in medical education. The literature is not clear about the mechanisms that contribute to its effects, which are often small to moderate and at times contradictory. A variety of variables seem to influence the impact of feedback on learning. The aim of this study was to determine which variables influence the process and outcomes of feedback in settings relevant to medical education. METHODS: A myriad of studies on feedback have been conducted. To determine the most researched variables, we limited our review to meta-analyses and literature reviews published in the period from January 1986 to February 2012. According to our protocol, we first identified features of the feedback process that influence its effects and subsequently variables that influence these features. We used a chronological model of the feedback process to categorise all variables found. RESULTS: A systematic search of ERIC, PsycINFO and MEDLINE yielded 1101 publications, which we reduced to 203, rejecting papers on six exclusion criteria. Of these, 46 met the inclusion criteria. In our four-phase model, we identified 33 variables linked to task performance (e.g. task complexity, task nature) and feedback reception (e.g. self-esteem, goal-setting behaviour) by trainees, and to observation (e.g. focus, intensity) and feedback provision (e.g. form, content) by supervisors that influence the subsequent effects of the feedback process. Variables from all phases influence the feedback process and effects, but variables that influence the quality of the observation and rating of the performance dominate the literature. There is a paucity of studies addressing other, seemingly relevant variables. CONCLUSIONS: The larger picture of variables that influence the process and outcome of feedback, relevant for medical education, shows many open spaces. We suggest that targeted studies be carried out to expand our knowledge of these important aspects of feedback in medical education.

Feedback providers' credibility impacts students' satisfaction with feedback and delayed performance.

PURPOSE: Medical students receive feedback during clerkships from many different sources: attendings, residents, paramedics, other clerks and even patients. Not all feedback providers have similar impact on learning. One characteristic that is believed to have impact is their credibility to the recipient. This study investigates the effects of feedback provider credibility on medical student satisfaction, self-efficacy and performance with a trained skill. METHODS: A single-blind randomized controlled between-subjects design was used, with feedback provider credibility (high-low) as independent variable and examination of hearing abilities as the task. First year medical students' (n = 68) satisfaction, self-efficacy and performance were the dependent variables and were measured both directly after the intervention and after a three-week delay. RESULTS: Credibility did not significantly affect immediate or delayed self-efficacy. Students receiving feedback from a high-credibility source were more satisfied with the feedback. They did not perform significantly better immediately after the feedback intervention, but did so three weeks after the intervention. High credibility was associated with a perception of a negative feedback message and an unsocial feedback provider. CONCLUSIONS: Feedback provider credibility impacts satisfaction with feedback and delayed performance. If feedback is not effective in clinical settings, feedback providers may reconsider their credibility.

Framing of feedback impacts student's satisfaction, self-efficacy and performance.

Feedback is considered important to acquire clinical skills. Research evidence shows that feedback does not always improve learning and its effects may be small. In many studies, a variety of variables involved in feedback provision may mask either one of their effects. E.g., there is reason to believe that the way oral feedback is framed may affect its effect if other variables are held constant. In a randomised controlled trial we investigated the effect of positively and negatively framed feedback messages on satisfaction, self-efficacy, and performance. A single blind randomised controlled between-subject design was used, with framing of the feedback message (positively-negatively) as independent variable and examination of hearing abilities as the task. First year medical students' (n = 59) satisfaction, self-efficacy, and performance were the dependent variables and were measured both directly after the intervention and after a 2 weeks delay. Students in the positively framed feedback condition were significantly more satisfied and showed significantly higher self-efficacy measured directly after the performance. Effect sizes found were large, i.e., partial η (2) = 0.43 and η (2) = 0.32 respectively. They showed a better performance throughout the whole study. Significant performance differences were found both at the initial performance and when measured 2 weeks after the intervention: effects were of medium size, respectively r = -.31 and r = -.32. Over time in both conditions performance and self-efficacy decreased. Framing the feedback message in either a positive or negative manner affects students' satisfaction and self-efficacy directly after the intervention be it that these effects seem to fade out over time. Performance may be enhanced by positive framing, but additional studies need to confirm this. We recommend using a positive frame when giving feedback on clinical skills.

What is feedback in clinical education?

OBJECTIVE: Feedback is important in clinical education. However, the medical education literature provides no consensual definition of feedback. The aim of this study is to propose a consensual, research-based, operational definition of feedback in clinical education. An operational definition is needed for educational practice and teacher training, and for research into the effectiveness of different types of feedback. METHODS: A literature search about definitions of feedback was performed in general sources, meta-analyses and literature reviews in the social sciences and other fields. Feedback definitions given from 1995 to 2006 in the medical education literature are also reviewed. RESULTS: Three underlying concepts were found, defining feedback as 'information'; as 'reaction', including information, and as a 'cycle', including both information and reaction. In most medical education and social science literature, feedback is usually conceptualised as information only. Comparison of feedback definitions in medical education reveals at least 9 different features. The following operational definition is proposed. Feedback is: 'Specific information about the comparison between a trainee's observed performance and a standard, given with the intent to improve the trainee's performance.' CONCLUSIONS: Different conceptual representations and the use of different key features might be a cause for inconsistent definitions of feedback. The characteristics, strengths and weaknesses of this research-based operational definition are discussed.