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Record W2167820914 · doi:10.1177/0969733011421626

Nurses’ ethical conflict with hospitals: A longitudinal study of outcomes

2012· article· en· W2167820914 on OpenAlexaffabout
Alice Gaudine, Linda Thorne

Bibliographic record

VenueNursing Ethics · 2012
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsYork UniversityMemorial University of Newfoundland
Fundersnot available
KeywordsStaffingAbsenteeismLongitudinal studyPsychologyRole conflictNursingOrganizational commitmentTurnover intentionTurnoverMedicineSocial psychologyManagement

Abstract

fetched live from OpenAlex

This study examined the association of nurses' ethical conflict with hospitals with organizational commitment, stress, turnover intention, absence and turnover. Participants were 410 nurses working at four different Canadian hospitals. A longitudinal design was used where nurses completed a questionnaire to capture ethical conflict, stress and organizational commitment, and one year later, measures of turnover intention, absence and actual turnover were obtained for the same sample. We found three aspects of nurses' ethical conflict with hospitals: patient care values, value of nurses, and staffing policy values. Our findings showed that all three aspects of nurses' ethical conflict are associated with stress and patient care values is associated with actual turnover. We also found that staffing policy values is predictive of turnover intention, and that patient care values is predictive of absenteeism. Thus, our findings show the multidimensionality of nurses' ethical conflict with hospitals. Further implications of our findings for practice and theory are discussed.

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)0.017
metaresearch head score (Gemma)0.032
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.031
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 head0.365
GPT teacher head0.607
Teacher spread0.241 · 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; both teacher heads agree on what is shown here.

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

Citations39
Published2012
Admission routes2
Has abstractyes

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