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Record W3192968706 · doi:10.1080/01612840.2021.1956656

Psychiatric Nurses’ Lived Experiences of Workplace Violence in Acute Care Psychiatric Units in Western Canada

2021· article· en· W3192968706 on OpenAlexaffabout
Bridget J. Hiebert, W. Dean Care, Sonia Udod, Candice Waddell-Henowitch

Bibliographic record

VenueIssues in Mental Health Nursing · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsBrandon University
Fundersnot available
KeywordsWorkplace violencePsychiatryNursingSuicide preventionMedicineHealth careOccupational safety and healthPsychiatric hospitalAcute carePoison controlQualitative researchGlobeHuman factors and ergonomicsLived experiencePsychologyMedical emergencyPsychotherapist

Abstract

fetched live from OpenAlex

Workplace violence directed at nurses in healthcare settings is a common occurrence across the globe resulting in negative nurse and organizational implications that may impact the quality of care provided. Psychiatric nurses working on acute care psychiatric units are at an increased risk and are frequently subjected to patients' violent and aggressive behaviors. These implications pose significant threats to the nurses' emotional, physical, and psychological health. Efforts to reduce workplace violence on acute care psychiatric units requires an examination of psychiatric nurses' lived experiences. A qualitative descriptive phenomenological inquiry was conducted using semi-structured interviews with 10 registered psychiatric nurses within a Western Canada health region to explore their lived experiences of patient-to-nurse workplace violence. The findings of this study highlight the implications of workplace violence and substantiates the urgent need to improve the safety on acute care psychiatric units.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.451
Threshold uncertainty score0.871

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.368
Teacher spread0.352 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations23
Published2021
Admission routes2
Has abstractyes

Explore more

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