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Record W2102013525 · doi:10.7899/1042-5055-26.1.14

Manikin-Based Clinical Simulation in Chiropractic Education

2012· article· en· W2102013525 on OpenAlexaff
Marion McGregor, Dominic Giuliano

Bibliographic record

VenueJournal of Chiropractic Education · 2012
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsCanadian Memorial Chiropractic College
FundersAustralian Government
KeywordsChiropracticComputer scienceAlternative medicineMedicinePhysical medicine and rehabilitationBioinformaticsData scienceMedical physicsPathologyBiology

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose of this pilot investigation was to describe the development and implementation of simulation exercises and investigate the feasibility, satisfaction, and relative effectiveness of a manikin-based simulation program in chiropractic undergraduate education. METHODS: This investigation consisted of (1) a qualitative review of other simulation environments and evaluation of related simulation literature to develop the educational processes to be used, (2) implementation of simulation scenarios for 95 student interns and their 11 supervising clinicians, and (3) implementation of simulation scenarios in a random sample of 35 1st-year and 24 2nd-year chiropractic students. Assessment of success was based on results from satisfaction and usability questionnaires and perceived achievement of learning outcomes. Anxiety scores were measured for all participants via a visual analog scale. The level of successful integration of 2nd-year basic science material was assessed using a t test comparing test results between students who participated in the pilot and those who did not. RESULTS: Implementation methods were developed on the basis of qualitative investigation. Simulation program feedback from all participants indicated high levels of satisfaction, usability, and perceived achievement of learning outcomes. Anxiety levels among interns differed according to role chosen (F = 8.07, p =.00). Mean difference in course examination scores of students who participated in simulations versus those who did not was 3.25% favoring students who participated (t = 1.28, p =.10). CONCLUSIONS: High levels of student satisfaction and perceived achievement of learning outcomes were consistently achieved. A trend to successful integration of basic science knowledge provides reason for cautious optimism. More research is recommended.

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 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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.118
GPT teacher head0.504
Teacher spread0.386 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
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

Citations16
Published2012
Admission routes1
Has abstractyes

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