Adaptation of an international virtual patient collection to the COVID-19 pandemic

Planning a Collection of Virtual Patients to Train Clinical Reasoning: A Blueprint Representative of the European Population

Background: Virtual patients (VPs) are a suitable method for students to train their clinical reasoning abilities. We describe a process of developing a blueprint for a diverse and realistic VP collection (prior to VP creation) that facilitates deliberate practice of clinical reasoning and meets educational requirements of medical schools. Methods: An international and interdisciplinary partnership of five European countries developed a blueprint for a collection of 200 VPs in four steps: (1) Defining the criteria (e.g., key symptoms, age, sex) and categorizing them into disease-, patient-, encounter- and learner-related, (2) Identifying data sources for assessing the representativeness of the collection, (3) Populating the blueprint, and (4) Refining and reaching consensus. Results: The blueprint is publicly available and covers 29 key symptoms and 176 final diagnoses including the most prevalent medical conditions in Europe. Moreover, our analyses showed that the blueprint appears to be representative of the European population. Conclusions: The development of the blueprint required a stepwise approach, which can be replicated for the creation of other VP or case collections. We consider the blueprint an appropriate starting point for the actual creation of the VPs, but constant updating and refining is needed.

The effectiveness of using virtual patient educational tools to improve medical students' clinical reasoning skills: a systematic review

BACKGROUND

Use of virtual patient educational tools could fill the current gap in the teaching of clinical reasoning skills. However, there is a limited understanding of their effectiveness. The aim of this study was to synthesise the evidence to understand the effectiveness of virtual patient tools aimed at improving undergraduate medical students' clinical reasoning skills.

METHODS

We searched MEDLINE, EMBASE, CINAHL, ERIC, Scopus, Web of Science and PsycINFO from 1990 to January 2022, to identify all experimental articles testing the effectiveness of virtual patient educational tools on medical students' clinical reasoning skills. Quality of the articles was assessed using an adapted form of the MERSQI and the Newcastle-Ottawa Scale. A narrative synthesis summarised intervention features, how virtual patient tools were evaluated and reported effectiveness.

RESULTS

The search revealed 8,186 articles, with 19 articles meeting the inclusion criteria. Average study quality was moderate (M = 6.5, SD = 2.7), with nearly half not reporting any measurement of validity or reliability for their clinical reasoning outcome measure (8/19, 42%). Eleven articles found a positive effect of virtual patient tools on reasoning (11/19, 58%). Four reported no significant effect and four reported mixed effects (4/19, 21%). Several domains of clinical reasoning were evaluated. Data gathering, ideas about diagnosis and patient management were more often found to improve after virtual patient use (34/47 analyses, 72%) than application of knowledge, flexibility in thinking and problem-solving (3/7 analyses, 43%).

CONCLUSIONS

Using virtual patient tools could effectively complement current teaching especially if opportunities for face-to-face teaching or other methods are limited, as there was some evidence that virtual patient educational tools can improve undergraduate medical students' clinical reasoning skills. Evaluations that measured more case specific clinical reasoning domains, such as data gathering, showed more consistent improvement than general measures like problem-solving. Case specific measures might be more sensitive to change given the context dependent nature of clinical reasoning. Consistent use of validated clinical reasoning measures is needed to enable a meta-analysis to estimate effectiveness.

Why is it so difficult to implement a longitudinal clinical reasoning curriculum? A multicenter interview study on the barriers perceived by European health professions educators

BACKGROUND

Effective clinical reasoning is a core competency of health professionals that is necessary to assure patients' safety. Unfortunately, adoption of longitudinal clinical reasoning curricula is still infrequent. This study explores the barriers that hinder the explicit teaching of clinical reasoning from a new international perspective.

METHODS

The context of this study was a European project whose aim is to develop a longitudinal clinical reasoning curriculum. We collected data in semi-structured interviews with responders from several European countries who represent various health professions and have different backgrounds, roles and experience. We performed a qualitative content analysis of the gathered data and constructed a coding frame using a combined deductive/inductive approach. The identified themes were validated by parallel coding and in group discussions among project members.

RESULTS

A total of 29 respondents from five European countries participated in the interviews; the majority of them represent medicine and nursing sciences. We grouped the identified barriers into eight general themes: Time, Culture, Motivation, Clinical Reasoning as a Concept, Teaching, Assessment, Infrastructure and Others. Subthemes included issues with discussing errors and providing feedback, awareness of clinical reasoning teaching methods, and tensions between the groups of professionals involved.

CONCLUSIONS

This study provides an in-depth analysis of the barriers that hinder the teaching of explicit clinical reasoning. The opinions are presented from the perspective of several European higher education institutions. The identified barriers are complex and should be treated holistically due to the many interconnections between the identified barriers. Progress in implementation is hampered by the presence of reciprocal causal chains that aggravate this situation. Further research could investigate the perceptual differences between health professions regarding the barriers to clinical reasoning. The collected insights on the complexity and diversity of these barriers will help when rolling out a long-term agenda for overcoming the factors that inhibit the implementation of clinical reasoning curricula.