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Record W2126489748 · doi:10.1177/0020764004040953

Stress, Burnout, Coping and Stress Management in Psychiatrists: Findings from a Systematic Review

2004· review· en· W2126489748 on OpenAlexaff
Anne Fothergill, Deborah Edwards, Philip Burnard

Bibliographic record

VenueInternational Journal of Social Psychiatry · 2004
Typereview
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsUniversity College of the North
FundersOffice of Research and Development
KeywordsStressorBurnoutPsychological interventionPsychologyCoping (psychology)DistressStress managementOccupational stressPsychiatryClinical psychologyMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: Research into stress among psychiatrists has attempted to identify stressors, which can lead to physical illness and psychological distress. AIMS: The aim of the study was systematically to review the current evidence for the effectiveness of stress management interventions for those working in the psychiatric profession. METHOD: A systematic review of the current literature was conducted into stress and stress management within the profession of psychiatry. RESULTS: Twenty-three international studies were included in the psychiatry section of the review. Psychiatrists report a range of stressors in their work, including stress associated with their work and personal stresses. One personal stress, which psychiatrists find very difficult to cope with is patient suicide. Coping strategies include support from colleagues and outside interests. No studies evaluated the use of stress-management interventions for psychiatrists. CONCLUSIONS: Psychiatry is a stressful profession. Psychiatrists identified several stressors in their professional and personal lives.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.040
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.466
Teacher spread0.417 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations166
Published2004
Admission routes1
Has abstractyes

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Same venueInternational Journal of Social PsychiatrySame topicHealthcare professionals’ stress and burnoutFrench-language works237,207