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Record W4399257316 · doi:10.1016/j.resplu.2024.100675

Cognitive aids used in simulated resuscitation: A systematic review

2024· review· en· W4399257316 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

VenueResuscitation Plus · 2024
Typereview
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsAlberta Children's HospitalUniversity of CalgaryHospital for Sick ChildrenSinai Health SystemUniversity of Toronto
Fundersnot available
KeywordsResuscitationCardiopulmonary resuscitationCognitionMedicinePsychologyIntensive care medicineEmergency medicinePsychiatry

Abstract

fetched live from OpenAlex

To compare the effectiveness of cognitive aid use during resuscitation with no use of cognitive aids on cardiopulmonary resuscitation quality and performance. This systematic review followed the PICOST format. All randomised controlled trials and non-randomised studies evaluating cognitive aid use during (simulated) resuscitation were included in any setting. Unpublished studies were excluded. We did not include studies that reported cognitive aid use during training for resuscitation alone. Medline, Embase and Cochrane databases were searched from inception until July 2019 (updated August 2022, November 2023, and 23 April 2024). We did not search trial registries. Title and abstract screening, full-text screening, data extraction, risk of bias assessment (using RoB2 and ROBINS-I), and certainty of evidence (using GRADE) were performed by two researchers. PRISMA reporting standards were followed, and registration (PROSPERO CRD42020159162, version 19 July 2022) was performed. No funding has been obtained. The literature search identified 5029 citations. After removing 512 duplicates, reviewing the titles and abstracts of the remaining articles yielded 103 articles for full-text review. Hand-searching identified 3 more studies for full-text review. Of these, 29 studies were included in the final analysis. No clinical studies involving patients were identified. The review was limited to indirect evidence from simulation studies only. The results are presented in five different populations: healthcare professionals managing simulated resuscitations in neonates, children, adult advanced life support, and other emergencies; as well as lay providers managing resuscitations. Main outcomes were adherence to protocol or process, adherence to protocol or process assessed by performance score, CPR performance and retention, and feasibility of chatbot guidance. The risk of bias assessment ranged from low to high. Studies in neonatal, paediatric and adult life support delivered by healthcare professionals showed benefits of using cognitive aids, however, some studies evaluating resuscitations by lay providers reported undesirable effects. The performance of a meta-analysis was not possible due to significant methodological heterogeneity. The certainty of evidence was rated as moderate to very low due to serious indirectness, (very) serious risk of bias, serious inconsistency and (very) serious imprecision. Because of the very low certainty evidence from simulation studies, we suggest that cognitive aids should be used by healthcare professionals during resuscitation. In contrast, we do not suggest use of cognitive aids for lay providers, based on low certainty evidence.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0020.005
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.119
GPT teacher head0.467
Teacher spread0.347 · 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