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Record W2538428055 · doi:10.1177/0844562116664260

Perspectives on Patient Safety Among Practical Nursing Students

2016· article· en· W2538428055 on OpenAlexaffvenue
June Raymond, Jennifer Medves, Christina Godfrey

Bibliographic record

VenueCanadian Journal of Nursing Research · 2016
Typearticle
Languageen
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsQueen's University
Fundersnot available
KeywordsNursingPatient safetyMedicinePsychologyMedical educationHealth carePolitical science

Abstract

fetched live from OpenAlex

Background Practical nursing students are students enrolled in a two-year college practical nursing diploma program. They are responsible for providing safe patient care to the patients they care for. Assessing students' perceptions of their own patient safety competencies can help educators identify gaps in their knowledge and skills and identify, at a curricula level, the concepts and information required to improve the quality of their care. Purpose To explore practical nursing students' confidence in what they are learning about patient safety within their nursing education. Methods This cross-sectional descriptive study used a modified version of the Health Professional Education in Patient Safety Survey. Results Overall, students expressed the greatest confidence in their abilities to provide care in Clinical Safety topics. More than 75% of the students' feared punishment when making an error and 88% have difficulty questioning other healthcare providers. Less than 30% of students stated that a system-level focus on errors was taught to them in their education programs. Conclusions More investigation is needed to understand what practical nursing students' fear about the provision of safe care. Additional focus on systems aspects of hazard identification and the prevention of errors needs to be present in nursing education programs.

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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.482
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.249
GPT teacher head0.580
Teacher spread0.331 · 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 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

Citations13
Published2016
Admission routes2
Has abstractyes

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