Evidence map›Paper›PMID 29731450›Full record

ArticleInternational journal of medical education2018

Are alexithymia and empathy predicting factors of the resilience of medical residents in France?

Audrey Morice-Ramat, Lionel Goronflot, Gilles Guihard

Open access · diamondAbstract read
In one paragraph

Article in International journal of medical education, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

28 citing papers in PubMed, 57 citations in OpenAlex.

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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 at 1 institution in 1 country.

Audrey Morice-RamatDepartment of General Medicine, Faculty of Medicine, University of Nantes, France.
Lionel GoronflotDepartment of General Medicine, Faculty of Medicine, University of Nantes, France.
Gilles GuihardCenter for Research in Education of Nantes (CREN), University of Nantes, France.
Nantes Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore resilience, resilience predicting factors and resilience distribution in French medical residents.

methodsA cross-sectional study was conducted in which general practice residents (n = 380) were asked to answer the Jefferson Scale of Physician Empathy, the Connor-Davidson Resilience Scale, and the Toronto Alexithymia Scale. One hundred thirty-seven (137) responses were collected. The scores of the different scales have been calculated. The score differences were examined using the Student's t-test or analysis of variance. The correlations were estimated using the Pearson correlation coefficient. The relationships between scores were analysed by multiple linear regression. The heterogeneity of the sample was examined by non-hierarchical cluster analysis.

resultsResilience and empathy were positively correlated (r

conclusionsAlexithymia, empathy, gender and year of formation correspond to predicting factors of resilience. This suggests that the resilience of vulnerable residents can be enhanced by increasing their empathy and by reducing their alexithymia. Thus, teaching teams could sustain their students' well-being through educational programs aiming to develop their understanding of their own emotions and those of their patients.

Indexed as

EmpathyResilience, PsychologicalAdultAffective SymptomsCluster AnalysisCross-Sectional StudiesFemaleFranceGeneral PracticeHumansInternship and ResidencyLinear ModelsMaleSex FactorsStudents, Medicalburnoutcopingfamily medicinemedical formationmental healthstress

Identifiers

PMID29731450
PMCPMC5951779
OpenAlexW2802049745

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.