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Record W2557394183 · doi:10.5539/gjhs.v9n6p195

Perceived Stress in Nurses: A Comparative Study

2016· article· en· W2557394183 on OpenAlexvenueno aff
Rami Masa’Deh, Fadwa Alhalaiqa, Mohannad Eid AbuRuz, Ghadeer Al-Dweik, Hekmat Yousef Al‐Akash

Bibliographic record

VenueGlobal Journal of Health Science · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsnot available
Fundersnot available
KeywordsChecklistMedicineNursingArabicAffect (linguistics)Scale (ratio)Mental healthStress (linguistics)Family medicinePsychiatryPsychology

Abstract

fetched live from OpenAlex

PURPOSE: The purpose of this study is to assess the perceived stress in nurses working in various departments including mental health and psychiatric nurses in Jordan and compare the all together.METHODS: Using a non-random convenience sample, 310 nurses working in various departments in Jordan representing five different hospitals were included. Nurses answered the Arabic Version of Perceived Stress Scale 10-Items Questionnaire (PSS10) and a Characteristic Checklist.RESULTS: This study showed that nurses working in psychiatric departments perceived the highest stress levels followed by oncology nurses (ONs), ICU/CCU, and ER nurses respectively. Medical and surgical nurses reported the lowest level of stress.CONCLUSIONS: This study showed that psychiatric nurses have the highest levels of stress among all participated nurses. This might lead to dissatisfaction with the work and high rates of burn out and turn over. All these factors can easily affect patients care and safety issue, especially psychiatric patients. It is highly recommended that nurse managers and policy makers pay a particular attention to this phenomenon and looking for causes of such high level of stress is important.

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)0.005
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.117
GPT teacher head0.525
Teacher spread0.408 · 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 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

Citations36
Published2016
Admission routes1
Has abstractyes

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