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Record W2065464976 · doi:10.1177/1355819614554924

What do nurses and midwives value about their jobs? Results from a discrete choice experiment

2014· article· en· W2065464976 on OpenAlexaff
Anthony Scott, Julia Witt, Christine Duffield, Guyonne Kalb

Bibliographic record

VenueJournal of Health Services Research & Policy · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsValue (mathematics)NursingPsychologyBusinessMedicineStatisticsMathematics

Abstract

fetched live from OpenAlex

OBJECTIVES: To examine nurses' and midwives' preferences for the characteristics of their jobs. METHODS: A discrete choice experiment of 990 nurses and midwives administered as part of a survey of nurses and midwives in Victoria, Australia. RESULTS: Autonomy, working hours, and processes to deal with violence and bullying were valued most highly. Nurses and midwives would be willing to forgo 19% and 16% of their annual income for adequate autonomy and adequate processes to deal with violence and bullying, compared to poor autonomy and poor processes for violence and bullying. They would need to be paid an additional 24% to increase their working hours by 10% ($73 per hour). Job characteristics that were less important were shift work, nurse to patient ratios, and public or private sector work. CONCLUSIONS: Policies to improve retention and job satisfaction of nurses and midwives should initially focus on autonomy, processes to deal with violence and bullying, and reasonable working hours. Further research on the cost-effectiveness of these different policies is needed.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
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 head0.054
GPT teacher head0.473
Teacher spread0.418 · 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 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

Citations54
Published2014
Admission routes1
Has abstractyes

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