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Record W4399856327 · doi:10.1097/ccm.0000000000006347

A Core Outcome Set for Research Evaluating Interventions to Enable Communication in Patients With an Artificial Airway: An International Delphi Consensus Study (Comm-COS)

2024· article· en· W4399856327 on OpenAlexaff
Amy Freeman–Sanderson, Martin B. Brodsky, Craig Dale, Anushua Gupta, Kimberley Haines, Mary Beth Happ, Nicholas Hart, Bronwyn Hemsley, Laura Istanboulian, Peter E. Spronk, Rebecca Sullivan, Anna‐Liisa Sutt, Louise Rose

Bibliographic record

VenueCritical Care Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsToronto Metropolitan UniversityToronto East General HospitalUniversity of Toronto
FundersEuropean Society of Intensive Care MedicineIntensive Care Society
KeywordsPsychological interventionMedicineDelphi methodDelphiStakeholderNursingIntervention (counseling)Systematic reviewMedical educationPopulationWorkgroupApplied psychologyPublic relationsPsychologyMEDLINEComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

OBJECTIVES: Critically ill adults requiring artificial airways experience profound communication deficits. Studies of interventions supporting communication report disparate outcomes, creating subsequent challenges in the interpretation of their effectiveness. Therefore, we aimed to develop international consensus for a communication core outcome set (Comm-COS) for future trials of communication interventions in this population. DESIGN: 1) Systematic review, 2) patient/family interviews, 3) two-round modified Delphi, and 4) virtual consensus meetings with a final voting round. A multidisciplinary expert steering committee oversaw all stages. SETTING: Interviews and consensus meetings were conducted via videoconferencing. Digital methods were used for Delphi and final Comm-COS voting. SUBJECTS: Three stakeholder groups: 1) patient and family members with lived experience within 3 years, 2) clinicians with experience working in critical care, and 3) researchers publishing in the field. INTERVENTION: None. MEASUREMENTS AND MAIN RESULTS: We identified 59 outcomes via our systematic review, 3 unique outcomes from qualitative interviews, and 2 outcomes from our steering committee. Following item reduction, 32 outcomes were presented in Delphi round 1; 134 participants voted; 15 patient/family (11%), 91 clinicians (68%), and 28 researchers (21%). Nine additional outcomes were generated and added to round 2; 106 (81%) participants voted. Following completion of the consensus processes, the Comm-COS includes seven outcomes: 1) changes in emotions and wellbeing associated with ability to communicate, 2) physical impact of communication aid use, 3) time to functional communication, 4) ability to communicate healthcare needs (comfort/care/safety/decisions), 5) conversation agency, 6) ability to establish a communication connection to develop and maintain relationships, and 7) acceptability of the communication intervention. CONCLUSIONS: This is the first COS to specifically focus on communication for critically ill adults. Limitations for operationalization include selection of measures to use with these outcomes. Identification of suitable measures and adoption of the Comm-COS in future trials will help establish effective interventions to ameliorate the highly prevalent and negative experience of communicative incapacity.

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)0.417
metaresearch head score (Gemma)0.397
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.583
Threshold uncertainty score0.719

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4170.397
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.008
Bibliometrics0.0120.008
Science and technology studies0.0050.005
Scholarly communication0.0040.006
Open science0.0020.011
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.523
GPT teacher head0.593
Teacher spread0.070 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designQualitative
DomainMethods
GenreEmpirical

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

Citations9
Published2024
Admission routes1
Has abstractyes

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