Evidence map›Paper›PMID 35742127›Full record

ArticleHealthcare (Basel, Switzerland)2022

Affect and Cognitive Closure in Students-A Step to Personalised Education of Clinical Assessment in Psychology with the Use of Simulated and Virtual Patients.

Maciej Walkiewicz, Bartosz Zalewski, Mateusz Guziak

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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.

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Observational
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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

3 authors.

Maciej WalkiewiczDepartment of Psychology, Medical University of Gdańsk, 80-210 Gdansk, Poland.ORCID 0000-0002-5674-5875
Bartosz ZalewskiDepartment of Psychology of Individual Differences, Diagnosis and Psychometric Research, SWPS University of Social Sciences and Humanities, 03-815 Warsaw, Poland.
Mateusz GuziakFaculty of Medicine, Medical University of Gdańsk, 80-210 Gdansk, Poland.ORCID 0000-0002-5720-3410

Funding

National Science Center 2012/05/E/HS6/03503
6 · The paper itself

Abstract

introductionSince there was no general model of competencies to determine a successful clinical assessment, we based our study on the many skills that are needed to perform one. We analysed students' learning performance based on inner determinants, such as affect and cognitive closure, with the use of two teaching methods (i.e., simulated patient (SP) or virtual patient (VP)).

methodsThe sample comprised 56 fifth-year clinical psychology students. The need for closure (NFC) and efficacy in fulfilling the need for closure (EFNC) were measured using standardised questionnaires. The authors' VP and SP tools were used to teach and measure the effectiveness of learning psychological interview techniques and clinical reasoning. Clinical interview skills included building contact with the patient, gathering important information and making mistakes. Clinical reasoning skills were divided into eight dimensions for the assessment of mental health.

resultsAffect and cognitive closure are important psychological variables in anticipating and developing interview and clinical reasoning skills for psychology students. The simulated patient was more effective for interview skills, while the virtual patient was a beneficial teaching tool for most clinical reasoning skills. Virtual patient training was a useful teaching method for students with a low EFNC, probably because it provided a stable and strong structure. Simulated patient training was effective for people with a high EFNC, presumably because it allowed them to build on their advanced structuring skills.

conclusionsAffect and cognitive closure can be used to identify students' learning abilities to provide a more personalised education. The results of the present study may be useful for evaluating different teaching methods, monitoring their effectiveness and enhancing students' performance.

Indexed as

affectclinical competenceclinical psychologyclinical reasoningdiagnosiseducationinterviewpatient simulationpsychologysimulation trainingstudentsteaching

Identifiers

PMID35742127
PMCPMC9222664

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