BackgroundAlthough a core element in patient care the trajectory of empathy during undergraduate medical education remains unclear. Empathy is generally regarded as comprising an affective capacity: the ability to be sensitive to and concerned for, another and a cognitive capacity: the ability to understand and appreciate the other person’s perspective. The authors investigated whether final year undergraduate students recorded lower levels of empathy than their first year counterparts, and whether male and female students differed in this respect.MethodsBetween September 2013 and June 2014 an online questionnaire survey was administered to 15 UK, and 2 international medical schools. Participating schools provided both 5–6 year standard courses and 4 year accelerated graduate entry courses. The survey incorporated the Jefferson Scale of Empathy-Student Version (JSE-S) and Davis’s Interpersonal Reactivity Index (IRI), both widely used to measure medical student empathy. Participation was voluntary. Chi squared tests were used to test for differences in biographical characteristics of student groups. Multiple linear regression analyses, in which predictor variables were year of course (first/final); sex; type of course and broad socio-economic group were used to compare empathy scores.ResultsFive medical schools (4 in the UK, 1 in New Zealand) achieved average response rates of 55 % (n = 652) among students starting their course and 48 % (n = 487) among final year students. These schools formed the High Response Rate Group. The remaining 12 medical schools recorded lower response rates of 24.0 % and 15.2 % among first and final year students respectively. These schools formed the Lower Response Rate Group. For both male and female students in both groups of schools no significant differences in any empathy scores were found between students starting and approaching the end of their course. Gender was found to significantly predict empathy scores, with females scoring higher than males.ConclusionsParticipant male and female medical students approaching the end of their undergraduate education, did not record lower levels of empathy, compared to those at the beginning of their course. Questions remain concerning the trajectory of empathy after qualification and how best to support it through the pressures of starting out in medical practice.

Background: Clinical reasoning is at the core of health professionals' practice. A mapping of what constitutes clinical reasoning could support the teaching, development, and assessment of clinical reasoning across the health professions. Methods: We conducted a scoping study to map the literature on clinical reasoning across health professions literature in the context of a larger Best Evidence Medical Education (BEME) review on clinical reasoning assessment. Seven databases were searched using subheadings and terms relating to clinical reasoning, assessment, and Health Professions. Data analysis focused on a comprehensive analysis of bibliometric characteristics and the use of varied terminology to refer to clinical reasoning. Results: Literature identified: 625 papers spanning 47 years (1968-2014), in 155 journals, from 544 first authors, across eighteen Health Professions. Thirty-seven percent of papers used the term clinical reasoning; and 110 other terms referring to the concept of clinical reasoning were identified. Consensus on the categorization of terms was reached for 65 terms across six different categories: reasoning skills, reasoning performance, reasoning process, outcome of reasoning, context of reasoning, and purpose/goal of reasoning. Categories of terminology used differed across Health Professions and publication types. Discussion: Many diverse terms were present and were used differently across literature contexts. These terms likely reflect different operationalisations, or conceptualizations, of clinical reasoning as well as the complex, multi-dimensional nature of this concept. We advise authors to make the intended meaning of 'clinical reasoning' and associated terms in their work explicit in order to facilitate teaching, assessment, and research communication.

Note: The term "resident" in this document refers to both specialty residents and subspecialty fellows. Once the Common Program Requirements are inserted into each set of specialty and subspecialty requirements, the terms "resident" and "fellow" will be used respectively. Where applicable, text in italics describes the underlying philosophy of the requirements in that section. These philosophic statements are not program requirements and are therefore not citable.

Introduction: Clinical reasoning is considered to be at the core of health practice. Here, we report on the diversity and inferred meanings of the terms used to refer to clinical reasoning, and consider implications for teaching and assessment. Methods: In the context of a Best Evidence Medical Education (BEME) review of 625 papers drawn from 18 health professions, we identified 110 terms for clinical reasoning. We focus on iterative categorization of these terms across three phases of coding and considerations for how terminology influences educational practices. Results: Following iterative coding with 5 team members, consensus was possible for 74, majority coding was possible for 16, and full team disagreement existed for 20 terms. Categories of terms included: purpose/goal of reasoning, outcome of reasoning, reasoning performance, reasoning processes, reasoning skills, and context of reasoning. Discussion: Findings suggest that terms used in reference to clinical reasoning are nonsynonymous, not uniformly understood, and the level of agreement differed across terms. If the language we use to describe, to teach, or to assess clinical reasoning is not similarly understood across clinical teachers, program directors, and learners, this could lead to confusion regarding what the educational or assessment targets are for 'clinical reasoning'.

Medical students often require high levels of specialised institutional and personal support to facilitate success. Contributory factors may include personality type, course pressures and financial hardship. Drawing from research literature and the authors' experience, 12 tips are listed under five subheadings: policy and systems; people and resources; students; delivering support; limits of support. The 12 tips provide guidance to organisations and individual providers that encourages implementation of good practice and helps them better visualise their role within the system. By following the tips, medical schools can make more effective provisions for the expected, diverse and sometimes specialist needs of their students. Schools must take a proactive, anticipatory approach to provide appropriately for their entire student body. This ensures that students receive the best quality support, are more likely to succeed and are adequately prepared for their medical careers.

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In this exploratory study we have shown that corpus analysis can be a useful tool with which to analyse PBL transcriptions. This technique can be used to monitor the development of a technical vocabulary and skills in scientific and clinical reasoning as students progress through a PBL curriculum. We propose this methodology will become a powerful tool to help explore the much wider cognitive and linguistic developments of students and facilitators as they engage in PBL discourse.

Bloom's Taxonomy is an approach to organizing learning that was first published in 1956. It is ubiquitous in UK Higher Education (HE), where Universities use it as the basis for teaching and assessment; Learning Outcomes are created using suggested verbs for each tier of the taxonomy, and these are then "constructively aligned" to assessments. We conducted an analysis to determine whether there is consensus regarding the presentation of Bloom's Taxonomy across UK HE. Forty seven publicly available verb lists were collected from 35 universities and textbooks. There was very little agreement between these lists, most of which were not supported by evidence explaining where the verbs came from. We were able to construct a pragmatic "master list" of action verbs by using a simple majority consensus method. We were also able to construct a master list of commonly recommended "verbs to avoid." These master lists should be useful for anyone tasked with using Bloom's Taxonomy to write Learning Outcomes for assessment. However, our findings raise broader questions about the evidence base which underpins a common approach to teaching and assessment in UK HE and education generally.