Evidence map›Paper›PMID 23463034›Full record

ArticleIrish journal of medical science2013

A cross-sectional observation of burnout in a sample of Irish junior doctors.

G J Nason, S Liddy, T Murphy, E M Doherty

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Irish journal of medical science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Burnout within UK surgical specialties: a systematic review.Annals of the Royal College of Surgeons of England · 2021
    Pooled it
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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

4 authors.

G J NasonNational Surgical Training Centre, 123 St Stephen's Green, Dublin 2, Ireland, nasong@tcd.ie.
S Liddy
T Murphy
E M Doherty

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStress and burnout are common among doctors. Excess levels of stress have been shown to have detrimental personal and professional effects as well as a negative influence on patient care.

aimThe aim of our pilot study was to assess the levels of burnout among a cohort of interns.

methodsA voluntary written self-assessment of burnout levels was distributed to interns in two teaching hospitals. The Maslach Burnout inventory is a 22-question survey assessing the three components of the burnout syndrome-emotional exhaustion (EE), depersonalisation (DP) and personal achievement (PA).

resultsTwenty-seven surveys were distributed to interns in two hospitals with a 96.3 % (n = 26) response rate. The mean age was 25.1 years (range 24-31 years). 14 were medical interns, 12 were surgical interns at the time of completion. Overall, the mean EE score was 23.4 (range 11-29), representing moderate levels of EE. The mean DP score was 9.4 (range 4-14), representing moderate levels of DP. The mean PA score was 18.9 (range 12-29), representing high levels of PA. There were no significant differences noted between levels of EE, DP or PA among male or female interns, medical or surgical interns or those who worked in a peripheral or university hospital.

conclusionBurnout is reported among interns in our pilot study. Measures need to be taken to heighten awareness of burnout among doctors and to educate physicians regarding self-awareness and personal health.

Indexed as

DepersonalizationEmotionsJob SatisfactionAdultAttitude of Health PersonnelBurnout, ProfessionalCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHealth SurveysHospitals, TeachingHumansIrelandMaleMedical Staff, HospitalPilot Projects

Identifiers

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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.