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Record W2046422063 · doi:10.3928/00220124-20110103-03

Nurses’ Knowledge and Attitudes Regarding Pain Management in Hospitalized Adults

2011· article· en· W2046422063 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Continuing Education in Nursing · 2011
Typearticle
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsSt. Boniface Hospital
Fundersnot available
KeywordsPain managementMedicineDescriptive statisticsHealth careFamily medicineNursingPsychologyPhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND: Pain management is a key component of patient satisfaction and well-being in acute care settings. Nurses spend more time with patients than any other members of the health care team and play a major role in pain management. METHODS: This descriptive study in an urban tertiary care hospital explored the knowledge and attitudes of registered nurses regarding pain management. A modified version of the Ferrell and McCaffery Knowledge and Attitudes Survey Regarding Pain was used. RESULTS: Forty-nine percent of respondents achieved a passing score of 80% or more. Pharmacology questions were the least likely to be answered correctly. Negative correlations were found between score and demographic variables of age and experience. A positive correlation between score and educational level was noted. CONCLUSION: Nurses require ongoing education on pain management, particularly pharmaceutical agents. However, this education alone is insufficient to substantively improve patients' pain experiences.

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.

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)0.002
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 score0.574
Threshold uncertainty score0.267

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.011
GPT teacher head0.314
Teacher spread0.303 · 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