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Record W2250022636

Bed rails. Is there an up side?

2005· article· en· W2250022636 on OpenAlexaff
Donna Marcy‐Edwards

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDocumentationHospital bedReflection (computer programming)PsychologyNursingPublic relationsForensic engineeringMedicineEngineering ethicsBusinessPolitical scienceEngineeringComputer science
DOInot available

Abstract

fetched live from OpenAlex

In 1995, the United States Food and Drug Administration reported 68 deaths, 22 injuries and 12 entrapments related to the use of side rails. How is it that a seemingly innocuous bed feature, touted for its safety and care assistive properties, has turned into a killer? This article describes how nurses, in an effort to assure the public of safe nursing practice, historically embraced a legally defined consensual understanding of bed rail use rather than one defined by science and research. The result was that bed rails continued to be viewed by practising nurses as a benevolent means of patient protection. This article seeks to challenge those beliefs by presenting current research and encouraging moral and ethical reflection on the current practice of bed rail use. Potential alternatives and the need for accurate assessment and documentation are discussed in relation to the development of an understanding of what is appropriate application of bed rails.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0030.005
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0130.003

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 head0.045
GPT teacher head0.311
Teacher spread0.266 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations10
Published2005
Admission routes1
Has abstractyes

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