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Using a Dissection‐based Introductory Laboratory Video to Reduce the Anxiety State of Dissection‐ and Prosection‐based Anatomy Students Prior to their First Cadaver‐based Laboratory Experience

2017· article· en· W3005281262 on OpenAlexaffabout
William Albabish, Genevieve Newton, Lorraine Jadeski

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsDissection (medical)CadaverAnxietyMedicinePsychologyAnatomyMedical physicsPsychiatry

Abstract

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Research shows that while many medical students express a positive attitude toward their first cadaveric laboratory experience, some students undergo mental distress in the form of an increased anxiety state. Although recent studies have shown that this anxiety diminishes after the students' first laboratory experience, the use of targeted preparatory tools to ease the transition is recommended. The goal of this study was to examine whether a short dissection-based introductory video has any effect on the increased anxiety state students face prior to their first cadaver-based laboratory session. Moreover, this study also sought to investigate the role of gender and laboratory type (i.e. dissection and prosection) on student anxiety state. A short (<3.5 minute) introductory video was incorporated into the pre-laboratory sessions of third-year non-medical undergraduate human anatomy students enrolled in dissection (n=198) and prosection (n=75) laboratories at the University of Guelph. The narrated introductory video incorporates uplifting background music and bright scenes showcasing the building, laboratory space, a student-centered laboratory session, and lastly a time-lapse overview of the first laboratory dissection. Self-reported anxiety state was measured using a validated visual analogue scale (VAS), and a validated 6-item abbreviated form of the Spielberger state-trait anxiety inventory survey (6-STAI). Surveys were administered at three-time points during the students' first laboratory: pre-laboratory pre-video (T1), pre-laboratory post-video (T2), and post-laboratory 1 (T3). Overall, there was a reduction in anxiety state level reported at T2 (Fig. 1), however it was not statistically significant (p > .05). A three-way mixed ANOVA showed that three-way interaction between time, gender and anxiety was not statistically significant, F(1.816, 490.282) = 1.771, p = .175. However, there was a statistically significant two-way interaction between time and gender, F(1.816, 490.282) = 5.460, p = .006, along with time and lab-type, F(1.816, 490.282) = 4.344, p = .016. There was a significant simple main effect of gender during T1, F(1, 270) = 11.408, p = .001, during T2, F(1, 270) = 21.553, p = .000, and during T3, F(1, 270) = 5.549, p = .019. Finally, there was a significant simple main effect of lab-type during T3, F(1, 270) = 23.916, p = .000, but not during T1, F(1, 270) = .793, p = .374, or T2 F(1, 270) = 2.240, p = .136. All pairwise comparisons were performed for statistically significant simple main effects. Anxiety levels at all three points were lower in males than females, a mean difference of −10.111 p = .001, −14.298 p = .000, and −5.087, p = .001 were observed. Moreover, T3 anxiety levels were significantly lower in the dissectors cohort than the prosectors cohort, a mean difference of −10.561 p = .000 In conclusion, the results display a significant decrease in the self-reported anxiety state of students enrolled in the dissection cohort immediately after their first laboratory (Fig. 2), suggesting a dissection-based introductory video may be more beneficial for dissectors, as it may have indirectly served as a dissection-guide amongst other things. Moreover, males displayed significantly lower anxiety levels than females at T1, T2, and T3 (Fig. 3), prompting future study to explore this effect. VAS Reported Anxiety Level - Time vs. Gender vs. Lab-type VAS Reported Anxiety Level - Time vs. Lab-type VAS Reported Anxiety Level - Time vs. Gender VAS Reported Anxiety Level - Time vs. Gender vs. Lab-type VAS Reported Anxiety Level - Time vs. Lab-type VAS Reported Anxiety Level - Time vs. Gender

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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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.290
Teacher spread0.276 · 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 designBench or experimental
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".

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Citations0
Published2017
Admission routes2
Has abstractyes

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