Evidence map›Paper›PMID 30037857›Full record

Observational studyBMJ open2018

Psychosocial work characteristics, burnout, psychological morbidity symptoms and early retirement intentions: a cross-sectional study of NHS consultants in the UK.

Atir Khan, Kevin Rh Teoh, Saiful Islam, Juliet Hassard

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 7 pooled it
17.9field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 7 syntheses or guidelines pooled it, 97 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Burnout within UK surgical specialties: a systematic review.Annals of the Royal College of Surgeons of England · 2021
    Pooled it
  8. Article
  9. Article
  10. Article
  11. Article
  12. Management standards and burnout among surgeons in the United Kingdom.Occupational medicine (Oxford, England) · 2023
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors at 4 institutions in 2 countries.

Atir KhanDiabetes Centre, Glangwili Hospital, Hywel Dda University Health Board, Carmarthen, UK.
Kevin Rh TeohDepartment of Organizational Psychology, Birkbeck University of London, London, UK.ORCID 0000-0002-6490-8208
Saiful IslamSwansea Trials Unit, College of Medicine, Swansea University, Swansea, UK.
Juliet HassardCentre for Organisational Health and Development, Institute of Mental Health, Division of Psychiatry and Applied Psychology, University of Nottingham, Nottingham, UK.
Birkbeck, University of London · GBDiabetes Australia · AUGower College Swansea · GBUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objectives of this study are twofold. First, to examine the direct effect of psychosocial work characteristics (as measured by job autonomy and work-related pressure) in relation to self-reported psychological morbidity symptoms and early retirement intentions among a sample of hospital consultants in the National Health Service (NHS). Second, to investigate burnout as mediating variable (ie, indirect effect) of these postulated associations.

designA cross-sectional observational study.

participants593 NHS consultants (male=63.1%) from hospitals in England, Scotland and Wales. MEASURES: Self-reported online questionnaires on work-related pressure and job autonomy (Job Demands-Resources Questionnaire); emotional exhaustion and depersonalisation (Maslach Burnout Inventory); depressive and anxiety symptoms (State Trait Personality Inventory) and a single-item on early retirement intention.

resultsThis study observed high prevalence rates across all adverse health measures: emotional exhaustion (38.7%), depersonalisation (20.7%), anxiety symptoms (43.1%) and depressive symptoms (36.1%). Multiple linear regressions examined the postulated direct and indirect effects. Job autonomy had significant negative direct effects on the frequency of NHS consultants' anxiety and depressive symptoms, and their intention to retire early. Both emotional exhaustion and depersonalisation mediated the relationships that work-related pressure (full mediation) and job autonomy (partial mediation) had with self-reported symptoms of psychological morbidities. Only emotional exhaustion mediated the relationships where early retirement intention was the outcome. In terms of sociodemographic factors, age and years' experience predicted both burnout dimensions and psychological morbidity.

conclusionsThis is the first study to observe job autonomy to be associated with the number of self-reported psychological morbidity symptoms and early retirement intentions in a sample of NHS consultants. Burnout dimensions mediated these relationships, indicating that interventions need to focus on enhancing working conditions and addressing burnout among NHS consultants before more severe symptoms of psychological morbidity are reported. This study has implications for NHS policy makers and senior leadership.

Indexed as

DepersonalizationAdultAnxietyBurnout, ProfessionalConsultantsCross-Sectional StudiesDepressionFemaleHumansIntentionLinear ModelsMaleMiddle AgedOccupational DiseasesPhysiciansPrevalenceautonomyburnoutpsychological morbidityretirement intentionsworking conditions

Identifiers

PMID30037857
PMCPMC6059335
OpenAlexW2883553753

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.