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Record W4312447257 · doi:10.2196/38870

Implementation of a Student-Teacher–Based Blended Curriculum for the Training of Medical Students for Nasopharyngeal Swab and Intramuscular Injection: Mixed Methods Pre-Post and Satisfaction Surveys

2022· article· en· W4312447257 on OpenAlexvenueno aff
Julie Bieri, Carlotta Tuor, Mathieu Nendaz, Georges L. Savoldelli, Katherine Blondon, Eduardo Schiffer, Ido Zamberg

Bibliographic record

VenueJMIR Medical Education · 2022
Typearticle
Languageen
FieldMedicine
TopicIntramuscular injections and effects
Canadian institutionsnot available
FundersJohns Hopkins University
KeywordsCurriculumMedical educationIntramuscular injectionMathematics educationPsychologyComputer scienceMedicinePedagogyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The COVID-19 pandemic caused a major disruption in the health care sector with increased workload and the need for new staff to assist with screening and vaccination tasks. Within this context, teaching medical students to perform intramuscular injections and nasal swabs could help address workforce needs. Although several recent studies discuss medical students' role and integration in clinical activities during the pandemic, knowledge gaps exist concerning their role and potential benefit in designing and leading teaching activities during this period. OBJECTIVE: The aim of our study was to prospectively assess the impact in terms of confidence, cognitive knowledge, and perceived satisfaction of a student-teacher-designed educational activity consisting of nasopharyngeal swabs and intramuscular injections for the training of second-year medical students in the Faculty of Medicine, University of Geneva, Switzerland. METHODS: This was a mixed methods pre-post surveys and satisfaction survey study. Activities were designed using evidence-based teaching methodologies based on the SMART (specific, measurable, achievable, realistic, and timely) criteria. All second-year medical students who did not participate in the activity's old format were recruited unless they explicitly stated that they wanted to opt out. Pre-post activity surveys were designed to assess perception of confidence and cognitive knowledge. An additional survey was designed to assess satisfaction in the mentioned activities. Instructional design was blended with a presession e-learning activity and a 2-hour practice session with simulators. RESULTS: Between December 13, 2021, and January 25, 2022, a total of 108 second-year medical students were recruited; 82 (75.9%) students participated in the preactivity survey and 73 (67.6%) in the postactivity survey. Students' confidence in performing intramuscular injections and nasal swabs significantly increased on a 5-point Likert scale for both procedures-from 3.31 (SD 1.23) and 3.59 (SD 1.13) before the activity to 4.45 (SD 0.62) and 4.32 (SD 0.76) after the activity (P<.001), respectively. Perceptions of cognitive knowledge acquisition also significantly increased for both activities. For the nasopharyngeal swab, knowledge acquisition concerning indications increased from 2.7 (SD 1.24) to 4.15 (SD 0.83), and for the intramuscular injection, knowledge acquisition concerning indications increased from 2.64 (SD 1.1) to 4.34 (SD 0.65) (P<.001). Knowledge of contraindications for both activities increased from 2.43 (SD 1.1) to 3.71 (SD 1.12) and from 2.49 (SD 1.13) to 4.19 (SD 0.63), respectively (P<.001). High satisfaction rates were reported for both activities. CONCLUSIONS: Student-teacher-based blended activities for training novice medical students in commonly performed procedural skills seem effective for increasing their confidence and cognitive knowledge and should be further integrated within a medical school curriculum. Blended learning instructional design increases students' satisfaction about clinical competency activities. Future research should elucidate the impact of student-teacher-designed and student-teacher-led educational activities.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.021
GPT teacher head0.446
Teacher spread0.425 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2022
Admission routes1
Has abstractyes

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