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Record W1990408788 · doi:10.1891/1078-4535.19.3.153

Hourly Rounding for Falls Prevention: A Change Initiative

2013· article· en· W1990408788 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

VenueCreative Nursing · 2013
Typearticle
Languageen
FieldHealth Professions
TopicBalance, Gait, and Falls Prevention
Canadian institutionsWinnipeg Regional Health AuthorityDeer Lodge Centre
Fundersnot available
KeywordsFall preventionHealth careHarmPopulation ageingNursingMedicineRoundingSustainabilityPopulationMedical emergencyPoison controlSuicide preventionGerontologyPsychologyEnvironmental healthPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Fall-related injuries are a particular concern within the elderly population, and trends toward an aging demographic will keep this issue at the forefront in health care. We are challenged to develop creative strategies to significantly reduce harm and fall rates among the elderly. This article describes the process of establishing an hourly rounding initiative in a health care facility. Hourly rounding is supported by the literature as an effective strategy for falls prevention and patient safety. When the initiative was not successfully adopted initially, the implementation process was critically examined and an innovative sustainability plan was developed to ensure that the change would be embedded in the organization's culture. Through this opportunity, nurses and allied health members from all levels were able to collaborate on strategies for this patient safety initiative.

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)0.000
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 score0.796
Threshold uncertainty score0.741

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.163
GPT teacher head0.448
Teacher spread0.285 · 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