Alignment of learning objectives, assessments, and active learning to promote critical thinking in a first-year medical physiology course: lessons learned.

Medical students must be adept at critical thinking to successfully meet the learning objectives of their preclinical coursework. To encourage student success on assessments, the course director of a first-year medical physiology course emphasized the use of learning objectives that were explicitly aligned with formative assessments in class. The course director introduced the physiology discipline, learning objectives, and evidence-based methods of studying to students on the first day of class. Thereafter, class sessions started with a review of the learning objectives for that session and included active learning opportunities such as retrieval practice. The instructor provided short answer formative assessments aligned with the learning objectives, intended to help the students apply and integrate the concepts. Midsemester, students received a link to an online survey with questions on studying habits, class attendance, and student engagement. After finals, students were invited to participate in focus groups about their class experience. A qualitative researcher moderated focus groups, recorded responses, and analyzed the narrative data. Of 175 students, 95 submitted anonymous online surveys. Student engagement was significantly correlated with in-person class attendance (r = 0.26, T = 2.5, P = 0.01) and the completion of open-ended formative assessments (r = 0.33, T = 3.3, P = 0.001). Focus groups were held via videoconference. From the class, 14 students participated in 4 focus groups; focus group participants were mostly women (11 of 14) and mostly in-class attendees (13 of 14). The students in this sample valued critical thinking but misunderstood expectations on exams and few students used learning objectives to study.NEW & NOTEWORTHY We introduced formative assessments and study techniques to first-year medical students in a physiology course. Mastery of learning objectives was emphasized as the key to success. We asked how they studied physiology through an anonymous online survey and focus group interviews. The students enjoyed physiology but had difficulty with exam expectations. Helping students use learning objectives to guide their study may lead to improved exam scores. It may also help administrators meet their curriculum goals.

Improving diagnostic performance through feedback: the Diagnosis Learning Cycle.

BACKGROUND: Errors in reasoning are a common cause of diagnostic error. However, it is difficult to improve performance partly because providers receive little feedback on diagnostic performance. Examining means of providing consistent feedback and enabling continuous improvement may provide novel insights for diagnostic performance. METHODS: We developed a model for improving diagnostic performance through feedback using a six-step qualitative research process, including a review of existing models from within and outside of medicine, a survey, semistructured interviews with individuals working in and outside of medicine, the development of the new model, an interdisciplinary consensus meeting, and a refinement of the model. RESULTS: We applied theory and knowledge from other fields to help us conceptualise learning and comparison and translate that knowledge into an applied diagnostic context. This helped us develop a model, the Diagnosis Learning Cycle, which illustrates the need for clinicians to be given feedback about both their confidence and reasoning in a diagnosis and to be able to seamlessly compare diagnostic hypotheses and outcomes. This information would be stored in a repository to allow accessibility. Such a process would standardise diagnostic feedback and help providers learn from their practice and improve diagnostic performance. This model adds to existing models in diagnosis by including a detailed picture of diagnostic reasoning and the elements required to improve outcomes and calibration. CONCLUSION: A consistent, standard programme of feedback that includes representations of clinicians' confidence and reasoning is a common element in non-medical fields that could be applied to medicine. Adapting this approach to diagnosis in healthcare is a promising next step. This information must be stored reliably and accessed consistently. The next steps include testing the Diagnosis Learning Cycle in clinical settings.

Teamwork in clinical reasoning - cooperative or parallel play?

Teamwork is fundamental for high-quality clinical reasoning and diagnosis, and many different individuals are involved in the diagnostic process. However, there are substantial gaps in how these individuals work as members of teams and, often, work is done in parallel, rather than in an integrated, collaborative fashion. In order to understand how individuals work together to create knowledge in the clinical context, it is important to consider social cognitive theories, including situated cognition and distributed cognition. In this article, the authors describe existing gaps and then describe these theories as well as common structures of teams in health care and then provide ideas for future study and improvement.