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Record W1968770663 · doi:10.1207/s15328015tlm1703_3

Simulation-Based Training of Internal Medicine Residents in Advanced Cardiac Life Support Protocols: A Randomized Trial

2005· article· en· W1968770663 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

VenueTeaching and Learning in Medicine · 2005
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsCentre for Family Medicine
Fundersnot available
KeywordsAdvanced cardiac life supportMedicineRandomized controlled trialIntervention (counseling)Inter-rater reliabilityPhysical therapyCertificationCrossover studyEmergency medicinePsychologyNursingCardiopulmonary resuscitationInternal medicineAlternative medicinePlaceboRating scale

Abstract

fetched live from OpenAlex

BACKGROUND: Internal medicine residents must be competent in Advanced Cardiac Life Support (ACLS) for board certification. PURPOSE: The purpose was to use a medical simulator to assess baseline proficiency in ACLS and determine the impact of an intervention on skill development. METHOD: This was a randomized trial with wait-list controls. After baseline evaluation in all residents, the intervention group received 4 education sessions using a medical simulator. All residents were then retested. After crossover, the wait-list group received the intervention, and residents were tested again. Performance was assessed by comparison to American Heart Association guidelines for treatment of ACLS conditions with interrater and internal consistency reliability estimates. RESULTS: Performance improved significantly after simulator training. No improvement was detected as a function of clinical experience alone. The educational program was rated highly.

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)0.011
metaresearch head score (Gemma)0.038
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.423
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.038
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.059
GPT teacher head0.435
Teacher spread0.375 · 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