MétaCan
Menu
Back to cohort
Record W1980756791 · doi:10.1097/ccm.0b013e3182a167d7

The Methodological Approach Used to Develop the 2013 Pain, Agitation, and Delirium Clinical Practice Guidelines for Adult ICU Patients

2013· review· en· W1980756791 on OpenAlexaff
Juliana Barr, Charles P. Kishman, Roman Jaeschke

Bibliographic record

VenueCritical Care Medicine · 2013
Typereview
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsSt. Joseph’s Healthcare HamiltonMcMaster UniversitySt. Joseph's Hospital
Fundersnot available
KeywordsDeliriumSedationMedicinePain assessmentMEDLINEIntensive care medicinePsychological interventionIntensive carePsychiatryPhysical therapyAnesthesiaPain management

Abstract

fetched live from OpenAlex

OBJECTIVE: In 2006, the American College of Critical Care Medicine assembled a 20-member task force to revise the 2002 guidelines for sedation and analgesia in critically ill adults. This article describes the methodological approach used to develop the American College of Critical Care Medicine's 2013 ICU Pain, Agitation, and Delirium Clinical Practice Guidelines. DESIGN: Review article. SETTING: Multispecialty critical care units. PATIENTS: Adult ICU patients. INTERVENTIONS: The task force was divided into four subcommittees, focusing on pain, sedation, delirium, and related outcomes. Unique aspects of this approach included the use of: 1) the Grading of Recommendations Assessment, Development and Evaluation method to evaluate the literature; 2) a librarian to conduct literature searches and to create and maintain the pain, agitation, and delirium database; 3) creation of a single web-based database; 4) rigorous psychometric analyses of pain, sedation, and delirium assessment tools; 5) the use of anonymous electronic polling; and 6) creation of an ICU pain, agitation, and delirium care bundle. RESULTS: The pain, agitation, and delirium database includes over 19,000 references. With the help of psychometric experts, members developed a scoring system and analyzed the psychometric properties of 6 behavioral pain scales, 10 sedation/agitation scales, and 5 delirium monitoring tools. A meta-analysis was performed to assess the overall impact of benzodiazepine versus nonbenzodiazepine sedation on ICU outcomes. The pain, agitation, and delirium guidelines include 54 evidence-based statements and recommendations. The quality of evidence and strength for each statement and recommendation was ranked. In the absence of sufficient evidence or group consensus, no recommendations were made. An ICU pain, agitation, and delirium care bundle was created to facilitate adoption of the pain, agitation, and delirium guidelines. It focuses on taking an integrated approach to assessing, treating, and preventing pain, agitation/sedation, and delirium in critically ill patients, and it links pain, agitation, and delirium management to spontaneous awakening trials, spontaneous breathing trials, and ICU early mobility and sleep hygiene programs in order to achieve synergistic benefits to ICU patient outcomes. CONCLUSIONS: The 2013 ICU pain, agitation, and delirium guidelines provide critical care providers with an evidence-based, integrated, and interdisciplinary approach to managing pain, agitation/sedation, and delirium. The methodological approach used to develop the guidelines ensures that they are rigorous, evidence-based, and transparent. Implementation of the ICU pain, agitation, and delirium care bundle is expected to have a significant beneficial impact on ICU outcomes and costs.

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 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)0.008
metaresearch head score (Gemma)0.970
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.962
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.970
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.446
GPT teacher head0.557
Teacher spread0.112 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations77
Published2013
Admission routes1
Has abstractyes

Explore more

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