MétaCan
Menu
Back to cohort
Record W2317357956 · doi:10.1097/ccm.0b013e3182a16879

Psychometric Analysis of Subjective Sedation Scales in Critically Ill Adults

2013· review· en· W2317357956 on OpenAlexaffabout
Bryce R. H. Robinson, Mélanie Berube, Juliana Barr, Richard R. Riker, Céline Gélinas

Bibliographic record

VenueCritical Care Medicine · 2013
Typereview
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsMcGill UniversityJewish General HospitalHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsMedicineCritically illSedationIntensive care medicineCritical illnessAnesthesia

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe and analyze the development and psychometric properties of subjective sedation scales developed for critically ill adult patients. DATA SOURCES: PubMed, MEDLINE, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, CINAHL, Scopus, ISI Web of Science, and the International Pharmaceutical Abstracts. STUDY SELECTION: English-only publications through December 2012 with at least 30 patients older than 18 years, which included the key words of adult, critically ill, subjective sedation scale, sedation scale, validity, and reliability. DATA EXTRACTION: Two independent reviewers evaluated the psychometric properties using a standardized sedation scale psychometric scoring system. DATA SYNTHESIS: Among the 19,000+ citations extracted for the 2013 Society of Critical Care Medicine's Clinical Practice Guidelines for the Management of Pain, Agitation and Delirium and from December 2010 to 2012, 36 articles were identified compassing 11 sedation scales. The scale development process, psychometric properties, feasibility, and implementation of sedation scales were analyzed using a 0-20 scoring system. Two scales demonstrated scores indicating "very good" published psychometric properties: Richmond Agitation-Sedation Scale (19.5) and the Sedation-Agitation Scale (19). Scores with "moderate" properties include the Vancouver Interaction and Calmness Scale (14.3), Adaptation to the Intensive Care Environment (13.7), Ramsay Sedation Scale (13.2), Minnesota Sedation Assessment Tool (13), and the Nursing Instrument for the Communication of Sedation (12.8). Scales with "low" properties included the Motor Activity Assessment Scale (11.5) and the Sedation Intensive Care Score (10.5). The New Sheffield Sedation Scale (8.5) and the Observer's Assessment of Alertness/Sedation Scale (3.7) demonstrated "very low" published properties. CONCLUSIONS: Based on the current literature, and using a predetermined psychometric scoring system, the Richmond Agitation-Sedation Scale and the Sedation-Agitation Scale are the most valid and reliable subjective sedation scales for use in critically ill adult patients.

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)0.039
metaresearch head score (Gemma)0.165
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0390.165
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0050.006
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.395
Teacher spread0.353 · 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 designObservational
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

Citations73
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueCritical Care MedicineSame topicIntensive Care Unit Cognitive DisordersFrench-language works237,207