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Record W2153651121 · doi:10.1177/0733464809353603

Comparing the Safety Culture of Nursing Homes and Hospitals

2009· article· en· W2153651121 on OpenAlexaff
Nicholas G. Castle, Laura M. Wagner, Subashan Perera, Jamie C. Ferguson, Steven M. Handler

Bibliographic record

VenueJournal of Applied Gerontology · 2009
Typearticle
Languageen
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSafety culturePatient safetyNursingNursing homesMedicinePerceptionHealth careOrganizational cultureQuality (philosophy)Family medicinePsychology

Abstract

fetched live from OpenAlex

The purpose of this study was to compare the patient safety culture between nationally representative samples of hospitals and nursing homes.This research is important in expanding our understanding of safety culture, to better understand the differences and similarities between healthcare settings, and to promote shared learning of best practices between settings. Findings from the Nursing Home Survey on Patient Safety Culture (NHSPSC) were compared with findings from the Hospital Survey on Patient Safety Culture (HSOPSC). Of the 26 highly similar items in these questionnaires, 9 of the NHSPSC scores were lower than the HSOPSC scores (indicating poorer perceptions of safety culture), 1 score was identical, and 16 of the NHSPSC scores were higher than the HSOPSC scores (indicating better perceptions of safety culture). Some learning opportunity may present itself for both nursing homes and hospitals to improve safety culture. This may have a significant impact on quality of care and quality of life for residents.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.817
Threshold uncertainty score0.206

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.078
GPT teacher head0.419
Teacher spread0.341 · 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.

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

Citations26
Published2009
Admission routes1
Has abstractyes

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