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Aim: To examine the diagnostic reasoning skills of two nurse practitioner student cohorts. Introduction: Nurse practitioners continue to play a pivotal role in health care provision. Diagnostic reasoning is a core skill of advanced practice. A comparative diagnostic reasoning study between two student cohorts was undertaken between 2018 and 2019. Methods: A validated diagnostic reasoning scale was completed by nurse practitioner students in the United Kingdom and the United States of America at the beginning and end of their clinical placements. The study utilized descriptive quantitative statistics from the data submitted by 22 survey respondents from an online survey. Results: Analysis of the diagnostic reasoning skills suggested there was a difference in the structural memory scores when compared with the beginning of their clinical placements and the final semester of their clinical placements. Conclusion: Diagnostic reasoning skills are a core skill of advanced practice. As students progress through their training, these skills improve. Despite the statistical difference in diagnostic reasoning scores, caution should be made in determining any larger implications due to the small number of participants in this study. Further study is needed in this area. Summary statement: What is already known about this topic? Diagnostic reasoning is a core skill for nurse practitioners.There is minimal research in this area.Diagnostic accuracy is vital for ensuring patient safety. What this paper adds? Structural memory scores improved at the end of nurse practitioner clinical placements. What are the implications of this paper for policy/practice/research/education? Further global research in the field of diagnostic reasoning for nurse practitioners and nurse practitioner students is needed to validate these findings.It is important to ensure nurse practitioners have competency in diagnostic reasoning to reduce diagnostic error.Curricula could be designed to incorporate the use of the DTI to evaluate a student's progress throughout the clinical portion of the nurse practitioner programme. [ABSTRACT FROM AUTHOR]

Context Longitudinal integrated clerkships ( LICs) represent a model of the structural redesign of clinical education that is growing in the USA, Canada, Australia and South Africa. By contrast with time-limited traditional block rotations, medical students in LICs provide comprehensive care of patients and populations in continuing learning relationships over time and across disciplines and venues. The evidence base for LICs reveals transformational professional and workforce outcomes derived from a number of small institution-specific studies. Objectives This study is the first from an international collaborative formed to study the processes and outcomes of LICs across multiple institutions in different countries. It aims to establish a baseline reference typology to inform further research in this field. Methods Data on all LIC and LIC-like programmes known to the members of the international Consortium of Longitudinal Integrated Clerkships were collected using a survey tool developed through a Delphi process and subsequently analysed. Data were collected from 54 programmes, 44 medical schools, seven countries and over 15 000 student-years of LIC-like curricula. Results Wide variation in programme length, student numbers, health care settings and principal supervision was found. Three distinct typological programme clusters were identified and named according to programme length and discipline coverage: Comprehensive LICs; Blended LICs, and LIC-like Amalgamative Clerkships. Two major approaches emerged in terms of the sizes of communities and types of clinical supervision. These referred to programmes based in smaller communities with mainly family physicians or general practitioners as clinical supervisors, and those in more urban settings in which subspecialists were more prevalent. Conclusions Three distinct LIC clusters are classified. These provide a foundational reference point for future studies on the processes and outcomes of LICs. The study also exemplifies a collaborative approach to medical education research that focuses on typology rather than on individual programme or context. [ABSTRACT FROM AUTHOR]

Context In the UK, supervised learning events ( SLE) replaced traditional workplace-based assessments for foundation-year trainees in 2012. A key element of SLEs was to incorporate trainee reflection and assessor feedback in order to drive learning and identify training issues early. Few studies, however, have investigated the value of SLEs in predicting doctors in difficulty. This study aimed to identify principles that would inform understanding about how and why SLEs work or not in identifying doctors in difficulty (DiD). Methods A retrospective case-control study of North West Foundation School trainees' electronic portfolios was conducted. Cases comprised all known DiD. Controls were randomly selected from the same cohort. Free-text supervisor comments from each SLE were assessed for the four domains defined in the General Medical Council's Good Medical Practice Guidelines and each scored blindly for level of concern using a three-point ordinal scale. Cumulative scores for each SLE were then analysed quantitatively for their predictive value of actual DiD. A qualitative thematic analysis was also conducted. Results The prevalence of DiD in this sample was 6.5%. Receiver operator characteristic curve analysis showed that Team Assessment of Behaviour ( TAB) was the only SLE strongly predictive of actual DiD status. The Educational Supervisor Report ( ESR) was also strongly predictive of DiD status. Fisher's test showed significant associations of TAB and ESR for both predicted and actual DiD status and also the health and performance subtypes. None of the other SLEs showed significant associations. Qualitative data analysis revealed inadequate completion and lack of constructive, particularly negative, feedback. This indicated that SLEs were not used to their full potential. Conclusions TAB and the ESR are strongly predictive of DiD. However, SLEs are not being used to their full potential, and the quality of completion of reports on SLEs and feedback needs to be improved in order to better identify and manage DiD. [ABSTRACT FROM AUTHOR]