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Comparison of Outcomes of Two Skills‐teaching Methods on Lay‐rescuers’ Acquisition of Infant Basic Life Support Skills

2010· article· en· W1519892812 on OpenAlexaff
Itai Shavit, Shuny Peled, Ivan P. Steiner, Dwight Harley, Shelley Ross, Eran Tal‐Or, April Lemire

Bibliographic record

VenueAcademic Emergency Medicine · 2010
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsUniversity of Alberta HospitalUniversity of AlbertaAlberta Health Services
Fundersnot available
KeywordsBasic life supportMedicineChecklistMedical educationIntervention (counseling)PopulationNeonatal resuscitationFamily medicineNursingCardiopulmonary resuscitationEmergency medicineResuscitationPsychology

Abstract

fetched live from OpenAlex

OBJECTIVES: The objective was to determine if lay-rescuers' acquisition of infant basic life support (BLS) skills would be better when skills teaching consisted of videotaping practice and providing feedback on performances, compared to conventional skills-teaching and feedback methods. METHODS: This pilot-exploratory, single-blind, prospective, controlled, randomized study was conducted on November 12, 2007, at the Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel. The population under study consisted of all first-year medical students enrolled in the 2007-2008 year. BLS training is part of their mandatory introductory course in emergency medicine. Twenty-three students with previous BLS training were excluded. The remaining 71 were randomized into four and then two groups, with final allocation to an intervention and control group of 18 and 16 students, respectively. All the students participated in infant BLS classroom teaching. Those in the intervention group practiced skills acquisition independently, and four were videotaped while practicing. Tapes were reviewed by the group and feedback was provided. Controls practiced using conventional teaching and feedback methods. After 3 hours, all subjects were videotaped performing an unassisted, lone-rescuer, infant BLS resuscitation scenario. A skills assessment tool was developed. It consisted of 25 checklist items, grouped into four sections: 6 points for "categories" (with specific actions in six categories), 14 points for "scoring" (of accuracy of performance of each action), 4 points for "sequence" (of actions within a category), and 1 point for "order" of resuscitation (complete and well-sequenced categories). Two blinded expert raters were given a workshop on the use of the scoring tool. They further refined it to increase scoring consistency. The main outcome of the study was defined as evidence of better skills acquisition in overall skills in the four sections and in the specific skills sets for actions in any individual category. Data analysis consisted of descriptive statistics. RESULTS: Means and mean percentages were greater in the intervention group in all four sections compared to controls: categories (5.72 [95.33%] and 4.69 [92.66%]), scoring (10.57 [75.50%] and 7.41 [43.59%]), sequence (2.28 [57.00%] and 1.66 [41.50%]), and order of resuscitation (0.96 [96.00%] and 0.19 [19.00%]). The means and mean percentages of the actions (skill sets) in the intervention group were also larger than those of controls in five out of six categories: assessing responsiveness (1.69 [84.50%] and 1.13 [56.50%]), breathing technique (1.69 [93.00%] and 1.13 [47.20%]), chest compression technique (3.19 [77.50%] and 1.84 [46.00%]), activating emergency medical services (EMS) (3.00 [100.00%] and 2.81 [84.50%]), and resuming cardiopulmonary resuscitation (0.97 [97.00%] and 0.47 [47.00%]). These results demonstrate better performance in the intervention group. CONCLUSIONS: The use of videotaped practice and feedback for the acquisition of overall infant BLS skills and of specific skill sets is effective. Observation and participation in the feedback and assessment of nonexperts attempting infant BLS skills appeared to improve the ability of this group of students to perform the task.

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)0.005
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.070
GPT teacher head0.523
Teacher spread0.453 · 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.

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

Citations25
Published2010
Admission routes1
Has abstractyes

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