Evidence map›Paper›PMID 28801397›Full record

ArticleBMJ open2017

Getting the right balance? A mixed logit analysis of the relationship between UK training doctors' characteristics and their specialties using the 2013 National Training Survey.

Idaira Rodriguez Santana, Martin Chalkley

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2017. 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
2.9field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Exploring gender differences in uptake of GP partnership roles: a qualitative mixed-methods study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
    Article
  4. Article
  5. Differential attainment, socioeconomic factors and surgical training.Annals of the Royal College of Surgeons of England · 2022
    Article
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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

2 authors at 1 institution in 1 country.

Idaira Rodriguez SantanaCentre for Health Economics, University of York, York, UK.ORCID 0000-0003-2022-3239
Martin ChalkleyCentre for Health Economics, University of York, York, UK.
University of York · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyse how training doctors' demographic and socioeconomic characteristics vary according to the specialty that they are training for.

designDescriptive statistics and mixed logistic regression analysis of cross-sectional survey data to quantify evidence of systematic relationships between doctors' characteristics and their specialty.

settingDoctors in training in the United Kingdom in 2013.

participants27 530 doctors in training but not in their foundation year who responded to the National Training Survey 2013.

main outcome measuresMixed logit regression estimates and the corresponding odds ratios (calculated separately for all doctors in training and a subsample comprising those educated in the UK), relating gender, age, ethnicity, place of studies, socioeconomic background and parental education to the probability of training for a particular specialty.

resultsBeing female and being white British increase the chances of being in general practice with respect to any other specialty, while coming from a better-off socioeconomic background and having parents with tertiary education have the opposite effect. Mixed results are found for age and place of studies. For example, the difference between men and women is greatest for surgical specialties for which a man is 12.121 times more likely to be training to a surgical specialty (relative to general practice) than a woman (p-value<0.01). Doctors who attended an independent school which is proxy for doctor's socioeconomic background are 1.789 and 1.413 times more likely to be training for surgical or medical specialties (relative to general practice) than those who attended a state school (p-value<0.01).

conclusionsThere are systematic and substantial differences between specialties in respect of training doctors' gender, ethnicity, age and socioeconomic background. The persistent underrepresentation in some specialties of women, minority ethnic groups and of those coming from disadvantaged backgrounds will impact on the representativeness of the profession into the future. Further research is needed to understand how the processes of selection and the self-selection of applicants into specialties gives rise to these observed differences.

Indexed as

Career ChoiceHealth Care SurveysPhysiciansAdultAttitude of Health PersonnelEthnicityFemaleGeneral PracticeHumansMaleOdds RatioParentsSocial ClassSpecializationSpecialties, SurgicalUnited Kingdomdoctor characteristicsdoctors in trainingethnicitygender gapsocio-economic backgroundspecialty training

Identifiers

PMID28801397
PMCPMC5724110
OpenAlexW2743463203

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.