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Record W1981442377 · doi:10.1177/1054773813475809

Nursing Documentation in Long-Term Care Settings

2013· article· en· W1981442377 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueClinical Nursing Research · 2013
Typearticle
Languageen
FieldNursing
TopicNursing Diagnosis and Documentation
Canadian institutionsCentre Hospitalier de l’Université de MontréalMcGill UniversityUniversité de MontréalUniversité LavalJewish General HospitalSt Mary's Hospital CentreInstitut Universitaire de Gériatrie de MontréalCentre for Excellence in Mining Innovation
FundersCanadian Institutes of Health ResearchAlzheimer SocietyCanadian Health Services Research FoundationCanadian Nurses Foundation
KeywordsDocumentationConfusionNursingDeliriumContext (archaeology)Nursing documentationMedicineLong-term careNursing careFamily medicinePsychologyPsychiatry

Abstract

fetched live from OpenAlex

In this study on nursing documentation in long-term care facilities, a set of 9 delirium symptoms was used to evaluate the agreement between symptoms reported by nurses during monthly interviews and those documented in the nursing notes for the same 7-day observation period. Residents aged 65 and above (N = 280) were assessed monthly over a 6-month period for the presence of delirium and its symptoms using the Confusion Assessment Method. The proportion of symptoms documented in the nursing notes ranged from 1.9% to 53.5%. A trend toward a lower proportion of documented symptoms for higher resident-nurse ratios was observed, although the difference was not statistically significant. Efforts should be made to improve the situation by revisiting the content of academic and clinical training given to nurses in addition to exploring innovative ways to make nursing documentation more efficient and less time-consuming within the current context of nurses' work overload.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.740
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.072
GPT teacher head0.522
Teacher spread0.451 · 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