Evidence map›Paper›PMID 35627711›Full record

ArticleInternational journal of environmental research and public health2022

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

Anja Mayer, Vital Da Silva Domingues, Inga Hege, Andrzej A Kononowicz, Marcos Larrosa, Begoña Martínez-Jarreta, Daloha Rodriguez-Molina, Bernardo Sousa-Pinto, Małgorzata Sudacka, Luc Morin

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Anja MayerMedical Education Sciences, University of Augsburg, 86159 Augsburg, Germany.ORCID 0000-0002-7680-588X
Vital Da Silva DominguesSchool of Medicine and Biomedical Sciences, University of Porto, 4050-513 Porto, Portugal.
Inga HegeMedical Education Sciences, University of Augsburg, 86159 Augsburg, Germany.
Andrzej A KononowiczDepartment of Bioinformatics and Telemedicine, Jagiellonian University Medical College, 30-688 Krakow, Poland.ORCID 0000-0003-2956-2093
Marcos LarrosaAragón Health Research Institute (IIS-Aragón), University of Zaragoza, 50009 Zaragoza, Spain.ORCID 0000-0003-3895-8161
Begoña Martínez-JarretaAragón Health Research Institute (IIS-Aragón), University of Zaragoza, 50009 Zaragoza, Spain.ORCID 0000-0001-6469-9189
Daloha Rodriguez-MolinaInstitute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, 80336 Munich, Germany.
Bernardo Sousa-PintoMEDCIDS-Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.ORCID 0000-0002-1277-3401
Małgorzata SudackaDepartment of Medical Education, Jagiellonian University Medical College, 30-688 Krakow, Poland.
Luc MorinPediatric and Neonatal Intensive Care Unit, DMU 3 Santé de L'enfant et de L'adolescent, APHP Paris Saclay, Bicêtre Hospital, 94270 Le Kremlin-Bicêtre, France.ORCID 0000-0001-6721-4677

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVirtual 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.

methodsAn 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.

resultsThe 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.

conclusionsThe 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.

Indexed as

Clinical CompetenceClinical ReasoningEuropeHumanscase-based learningclinical reasoninginternational collaborationmedical educationopen educational resourcesvirtual patients

Identifiers

PMID35627711
PMCPMC9140793

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.