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Record W4310950328 · doi:10.1097/ncq.0000000000000684

Nursing Home Patient Safety Culture Perceptions Among Licensed Practical Nurses

2022· article· en· W4310950328 on OpenAlexaff
Susan H. Weaver, Pamela B. de Cordova, Arun Ravichandran, Edna Cadmus

Bibliographic record

VenueJournal of Nursing Care Quality · 2022
Typearticle
Languageen
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsCanadian Association of Emergency Physicians
Fundersnot available
KeywordsNursingPerceptionPatient safetyNursing AssistantJob satisfactionNursing homesMedicineSafety culturePsychologyHealth careManagement

Abstract

fetched live from OpenAlex

BACKGROUND: Licensed practical nurses (LPNs) working in nursing homes are the primary licensed nurses providing care and ensuring patient safety in New Jersey. As such, it is important to understand LPNs' perception of patient safety culture (PSC) and job satisfaction, which may impact resident safety. PURPOSE: To describe the relationship between LPNs' perception of PSC in nursing homes and job satisfaction. METHODS: A cross-sectional study design was used to survey LPNs in New Jersey. RESULTS: LPNs working in nursing homes were less satisfied than LPNs working in other settings, and their perception of PSC was lower than that in 2019 national data report. CONCLUSION: LPNs in nursing homes indicated that PSC needs improvement. Now is an opportune time to implement initiatives to foster a culture of safety in nursing homes.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
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 head0.119
GPT teacher head0.529
Teacher spread0.410 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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