Evidence map›Paper›PMID 30656525›Full record

ArticleAdvances in health sciences education : theory and practice2019

Sociological analysis of the medical field: using Bourdieu to understand the processes preceding medical doctors' specialty choice and the influence of perceived status and other forms of symbolic capital on their choices.

Caroline Olsson, S Kalén, S Ponzer

Abstract read
In one paragraph

Article in Advances in health sciences education : theory and practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

11 citing papers in PubMed.

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  11. A Realist Evaluation of Theory about Triggers for Doctors Choosing a Generalist or Specialist Medical Career.International journal of environmental research and public health · 2020
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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.

Caroline OlssonDepartment of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Forskningscentrum, Sjukhusbacken 10, 118 46, Stockholm, Sweden. caroline.olsson@ki.se.ORCID 0000-0001-7561-2480
S KalénDepartment of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Forskningscentrum, Sjukhusbacken 10, 118 46, Stockholm, Sweden.
S PonzerDepartment of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Forskningscentrum, Sjukhusbacken 10, 118 46, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies have demonstrated that medical students and doctors rank specialties differently in terms of perceived status and prestige. At the same time some of the specialties have problems with recruiting and retaining staff. This study aimed to understand what constitutes status and prestige in the medical field and how it influences medical doctors' choice of specialty. By using a sociological perspective and applying Bourdieu's theoretical concepts of field, symbolic capital and perceived status, we analysed young doctors' journeys towards their chosen specialty. We conducted 15 in-depth semi-structured interviews. The data was analysed using content analysis. The findings suggest that medical specialties carry different social status. In the field of power, surgery is seen as the most prestigious of all specialties. However, in the future it might be a less attractive choice when young doctors tend to view their profession less as an identity and more like a job. For specialties perceived as low status, the challenge is to raise popularity by better describing to young doctors the characteristics and advantages of these specialties.

Indexed as

Career ChoiceMedicineModels, TheoreticalSocial ClassAdultFemaleHumansInterviews as TopicMalePhysiciansQualitative ResearchSelf ConceptContent AnalysisPrestigeSpecialty choiceStatusSymbolic capital

Identifiers

PMID30656525
PMCPMC6647503

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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.