Evidence map›Paper›PMID 34088296›Full record

ArticleBMC medical education2021

Final-year medical students' competence profiles according to the modified requirement tracking questionnaire.

Elena Zelesniack, Viktor Oubaid, Sigrid Harendza

Abstract read
In one paragraph

Article in BMC medical education, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Elena ZelesniackIII. Department of Internal Medicine, University Medical Center Hamburg-Eppendorf, Martinistr. 52, D-20246, Hamburg, Germany.
Viktor OubaidGerman Aerospace Center (DLR), Hamburg, Germany.
Sigrid HarendzaIII. Department of Internal Medicine, University Medical Center Hamburg-Eppendorf, Martinistr. 52, D-20246, Hamburg, Germany. harendza@uke.de.

Funding

Joachim Herz Stiftung no number
6 · The paper itself

Abstract

backgroundUndergraduate medical education is supposed to equip medical students with basic competences to select any specialty of their choice for postgraduate training. Medical specialties are characterized by a great diversity of their daily work routines and require different sets of competence facets. This study examines the self-assessed competence profiles of final-year undergraduate medical students and their specialty choice for postgraduate training. Students' profiles, who wish to choose anaesthesiology, internal medicine, or paediatrics, are compared with the physicians' competence profiles from these three disciplines.

methodsIn this study, 148 volunteer final-year undergraduate medical students completed the modified requirement-tracking (R-Track) questionnaire for self-assessment of their competence profiles. The R-Track questionnaire contains 63 competence facets assigned to six areas of competence: "Mental abilities", "Sensory abilities", "Psychomotor & multitasking abilities", "Social interactive competences", "Motivation", and "Personality traits". The expression of the different competence facets had to be assessed on a 5-point Likert scale (1: "very low" to 5: "very high"). Additionally, socio-demographic data and the participants' first choice of a medical speciality for postgraduate education were collected. We used analysis of variance (ANOVA) for mean score comparison of subgroups and least significant difference (LSD) tests for post hoc analysis.

resultsThe competence area with the highest rating was "Motivation" (3.70 ± 0.47) while "Psychomotor & multitasking abilities" received the lowest rating (3.34 ± 0.68). Individual facets of competence ranked from "In need of harmony" (4.36 ± 0.72), followed by "Tactfulness" (4.26 ± 0.64), and "Cooperation/Agreeableness" (4.24 ± 0.53) to "Risk orientation" (2.90 ± 0.92), "Mathematical reasoning" (2.87 ± 1.25), and "Sanctioning" (2.26 ± 0.93). The students' competence profiles showed 100 % congruence with physicians' competence profiles of the postgraduate specialty of their choice for internal medicine, 33.3 % for paediatrics, and 0 % for anaesthesiology.

conclusionsUndergraduate medical students could define their competence profiles with the modified R-Track questionnaire and compare them with the profile of their desired specialty for postgraduate training to discover possible learning gaps or to detect good specialty matches. A combination of students' competence self-assessment with an external assessment of students' facets of competence could provide curricular planners with useful information how to design learning opportunities for specific facets of competence.

Indexed as

Education, Medical, UndergraduateStudents, MedicalChildClinical CompetenceHumansSelf-AssessmentSurveys and QuestionnairesCompetenceFinal yearMedical specialtyPostgraduate medical educationResidencyUndergraduate medical education

Identifiers

PMID34088296
PMCPMC8178874

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Registered trials

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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 OpenQuestion graph.