Evidence map›Paper›PMID 29274068›Full record

ArticleJournal of cancer education : the official journal of the American Association for Cancer Education2019

Individual Supervision to Enhance Reflexivity and the Practice of Patient-Centered Care: Experience at the Undergraduate Level.

Alexandre Berney, Céline Bourquin

Abstract read
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In one paragraph

Article in Journal of cancer education : the official journal of the American Association for Cancer Education, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Alexandre BerneyPsychiatric Liaison Service, Lausanne University Hospital, Av. de Beaumont 23, Les Allières, 1011, Lausanne, Switzerland. alexandre.berney@chuv.ch.
Céline BourquinPsychiatric Liaison Service, Lausanne University Hospital, Av. de Beaumont 23, Les Allières, 1011, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article reports on what is at work during individual supervision of medical students in the context of teaching breaking bad news (BBN). Surprisingly, there is a relative lack of research and report on the topic of supervision, even though it is regularly used in medical training. Building on our research and teaching experience on BBN at the undergraduate level, as well as interviews of supervisors, the following key elements have been identified: learning objectives (e.g., raising student awareness of structural elements of the interview, emotion (patients and students) handling), pedagogical approach (being centered on student's needs and supportive to promote already existing competences), essentials (e.g., discussing skills and examples from the clinical practice), and enhancing reflexivity while discussing specific issues (e.g., confusion between the needs of the patient and those of the student). Individual supervision has been identified as crucial and most satisfactory by students to provide guidance and to foster a reflexive stance enabling them to critically apprehend their communication style. Ultimately, the challenge is to teach medical students to not only connect with the patient but also with themselves.

Indexed as

CommunicationEducation, Medical, UndergraduatePatient-Centered CareStudents, MedicalTruth DisclosureClinical CompetenceCurriculumHumansSwitzerlandBreaking bad newsCancerCommunicationCommunication skills trainingOncologySupervisionUndergraduate medical education

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.