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Record W2387267533

A survey on the factors and extent of work stress of nurses

2007· article· en· W2387267533 on OpenAlexaboutno aff
Xianyun Chen

Bibliographic record

VenuePractical Journal of Clinical Medicine · 2007
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWork (physics)NursingDutyQuestionnaireWork stressStress (linguistics)Mechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

Objective To find out the related factors and extent of nursing work stress and help managers and nurses to realize the pressure correctly and try to deal with it.Methods Based on the pressure factors of nurses affirmed by the Canada Nurse Association and combined with related items of Sichuan provincial nursing work and hospital nursing work status,we designed a questionnaire.A survey was conducted by the way of questionnaire collected from 480 nurses who worked at various levels of hospitals of Sichuan province and received training in Chengdu since 2002.Results The extent of nurses' pressure was middle high.The extent of the pressure was related with duty.The frequency of pressure appearance was positively correlated with the extent of pressure.Heavy responsibility,a large number of critically ill patients to deal with at a certain time,work shift,requirement for being available anytime,unsolved nursing-related problems,and lack of training were major factors inducing work stress.Conclusion Nursing managers should abate the work stress of nurses by reducing all kinds of relevant factors. Nurses should pay attention to own psychological adjustment and in this way release work stress.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.268
GPT teacher head0.593
Teacher spread0.325 · 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 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

Citations0
Published2007
Admission routes1
Has abstractyes

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