Reporting Guidelines for Health Care Simulation Research

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Full frame distilled prediction

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.

Candidate categories

Metaresearch, Meta-epidemiology (narrow), Science and technology studies

Consensus categories

none

Domain

Candidate signal: noneConsensus signal: none

Study design

Candidate signal: Simulation or modelingConsensus signal: Simulation or modeling

Genre

Candidate signal: EmpiricalConsensus signal: none

Teacher disagreement score

0.576

Threshold uncertainty score

1.000

Validation status

machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

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.

Teacher spread

0.231 · how far apart the two teachers sit on this one work

Validation status

score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

INTRODUCTION: Simulation-based research (SBR) is rapidly expanding but the quality of reporting needs improvement. For a reader to critically assess a study, the elements of the study need to be clearly reported. Our objective was to develop reporting guidelines for SBR by creating extensions to the Consolidated Standards of Reporting Trials (CONSORT) and Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statements. METHODS: An iterative multistep consensus-building process was used on the basis of the recommended steps for developing reporting guidelines. The consensus process involved the following: (1) developing a steering committee, (2) defining the scope of the reporting guidelines, (3) identifying a consensus panel, (4) generating a list of items for discussion via online premeeting survey, (5) conducting a consensus meeting, and (6) drafting reporting guidelines with an explanation and elaboration document. RESULTS: The following 11 extensions were recommended for CONSORT: item 1 (title/abstract), item 2 (background), item 5 (interventions), item 6 (outcomes), item 11 (blinding), item 12 (statistical methods), item 15 (baseline data), item 17 (outcomes/estimation), item 20 (limitations), item 21 (generalizability), and item 25 (funding). The following 10 extensions were recommended for STROBE: item 1 (title/abstract), item 2 (background/rationale), item 7 (variables), item 8 (data sources/measurement), item 12 (statistical methods), item 14 (descriptive data), item 16 (main results), item 19 (limitations), item 21 (generalizability), and item 22 (funding). An elaboration document was created to provide examples and explanation for each extension. CONCLUSIONS: We have developed extensions for the CONSORT and STROBE Statements that can help improve the quality of reporting for SBR.

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.

The record

Venue

Simulation in Healthcare The Journal of the Society for Simulation in Healthcare

Topic

Simulation-Based Education in Healthcare

Field

Medicine

Canadian institutions

Alberta Children's HospitalAlberta Children’s Hospital FoundationOttawa HospitalUniversity of Calgary

Funders

Children's Hospital of PittsburghNational Institute of Neurological Disorders and StrokeNational Heart, Lung, and Blood InstituteAlberta Children's Hospital Research InstituteU.S. NavyMedical Center, University of RochesterFeinberg School of MedicineCollege of Medicine, Drexel UniversitySchool of Medicine, Stanford UniversityChildren's Hospital FoundationNational Institutes of HealthHospital for Sick ChildrenLaerdal Foundation for Acute MedicineAlberta Children's Hospital FoundationMonash UniversityNational Institute for Health and Care ResearchUniversity of TorontoUniversity of LouisvilleUniversity of AlbertaNihon Kohden AmericaUniversity of AlabamaSaint Christopher's Hospital for ChildrenKing's College Hospital NHS Foundation TrustSaint Louis UniversityUniversity of OttawaUniversity of Illinois at Urbana-ChampaignUniversity of ArkansasDrexel UniversityCarolinas HealthCare SystemCollege of Engineering, Michigan State UniversityUniversity of Arkansas for Medical SciencesUniversity of MissouriChildren's National HospitalJohns Hopkins UniversityUniversity of WashingtonVrije Universiteit AmsterdamFlorida International UniversityPennsylvania State UniversityAgency for Healthcare Research and QualityNorthwestern UniversityUniversity of RochesterMichigan State UniversityNationwide Children's HospitalUniversitätsspital ZürichChildren's Hospital ColoradoCincinnati Children's Hospital Medical CenterBrown UniversityOhio State UniversityFoundation for Advancement of International Medical Education and ResearchKing's College LondonChildren's Hospital of PhiladelphiaGeorge Washington UniversityUniversity of PennsylvaniaYale University

Keywords

Generalizability theoryBlindingObservational studyDescriptive statisticsConsolidated Standards of Reporting TrialsPsychological interventionComputer scienceStrengthening the reporting of observational studies in epidemiologyQuality (philosophy)PsychologyScope (computer science)Applied psychologyMedical educationMedicineClinical trialStatisticsNursing

Has abstract in OpenAlex

yes

API

/api/v1/works/W2478004687