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Record W4386232535 · doi:10.1016/j.resplu.2023.100457

Stepwise approach to skills teaching in resuscitation: A systematic review

2023· review· en· W4386232535 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 · 2023
Typereview
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsUniversity of Calgary
FundersUniversität Zürich
KeywordsResuscitationMedical educationPsychologyMedicineMathematics educationAnesthesia

Abstract

fetched live from OpenAlex

To compare the effectiveness of Peyton’s four-step approach for teaching resuscitation skills with alternative approaches. For this systematic review, we followed the PICOST format (population, intervention, comparison, outcome, study design, timeframe) using Peyton’s four-step approach as the standard. We included all studies analyzing skills training related to resuscitation and First Aid in any educational setting. Eligible were randomized controlled trials (RCTs) and non-randomized studies (non-randomized controlled trials, interrupted time series, controlled before-and-after studies, cohort studies, published conference abstracts, and case series where n ≥ 5). We excluded unpublished results (e.g. trial protocols), commentaries, editorials, reviews. Medline, Embase, PsycINFO, ERIC, CINAHL, and Cochrane were searched from inception until November 10, 2020 (updated November 25, 2022) for publications in all languages as long as there was an English abstract. Titles and abstracts of the papers retrieved were screened, and eligible publications were analysed in full text. From the final set of papers, data were extracted into a spreadsheet, subsequently risk of bias assessment was performed (using RoB2 and ROBINS-I), and the certainty of evidence (using GRADE) for each paper was assessed. Screening of studies, data extraction, risk-of-bias assessment, and assessment of certainty of evidence were all performed by two independent researchers. This review was conducted in adherence with PRISMA standards and was registered with PROSPERO (CRD42023377398). Overall, the search identified 2,574 studies from which 17 were included in the final analysis (14 RCTs, and 3 non-RCTs). The studies involved a total of 2,906 participants from various populations (from lay persons to health care professionals) and analysed nine different resuscitation skills being taught (ranging from chest compressions to needle cricotomy). The alternative teaching approaches ranged from two-steps to five-steps with various modifications of single steps. High methodological and clinical heterogeneity precluded a meta-analysis from being conducted. The risk of bias assessment showed considerable variation between the studies ranging from ‘low’ to ‘serious’. Across all studies, certainty of evidence was rated as very low due to imprecision and inconsistency. Overall, 14 out of 17 studies showed no difference in skill acquisition or retention when comparing Peyton’s four steps to other stepwise approaches. Very low certainty evidence suggest that Peyton’s four-step approach was not more effective in resuscitation skills training compared to alternative approaches. None.

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)0.004
metaresearch head score (Gemma)0.008
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 score0.015
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.113
GPT teacher head0.451
Teacher spread0.338 · 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