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Record W2895305496

Burnout and compassion fatigue in emergency care nurses: factors that influence development

2018· article· en· W2895305496 on OpenAlexaboutno aff
Niamh Burgess

Bibliographic record

VenueeSource (Dublin Business School) · 2018
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsBurnoutCompassion fatiguePsychologyNursingCompassionApplied psychologyMedicineSocial psychologyClinical psychologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Emergency care nurses are highly susceptible to burnout and compassion fatigue. The aim of this study was to examine burnout and compassion fatigue in Irish emergency care nurses and the role of possible risk factors. A single method correlational design was employed comprising of quantitative data. Measures included; the Professional Quality of Life Scale (Stamm, 2009) which analysed compassion satisfaction and compassion fatigue (burnout and secondary traumatic stress), the Toronto Empathy Questionnaire (Spreng et al. 2009) and the Coping Self- Efficacy scale (Chesney et al. 2006). Purposive sampling acquired a sample (N= 70) of 61 females and 9 males. Findings indicate that Irish emergency care nurses are exposed to the risk of burnout and compassion fatigue. Exposure to secondary traumatic stress posed as a serious risk factor in the development of burnout and compassion fatigue while empathy, compassion satisfaction and coping self- efficacy where found to act as protectors against these criterion variables (burnout and compassion fatigue). Discussion, suggestions and limitations of the study are addressed.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.037
GPT teacher head0.368
Teacher spread0.331 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2018
Admission routes1
Has abstractyes

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