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Record W3013055083 · doi:10.7759/cureus.7410

The Use of Silicone Vaginal Repair Models as an Adjunct to Mannequins for Simulation Training in Sexual Assault Clinical Learning for Obstetrics and Gynecology Medical Residents

2020· article· en· W3013055083 on OpenAlexafffund
Megan Comeau, Christine Goudie, Deanna Murphy, Erika Franklin Fowler, Adam Dubrowski

Bibliographic record

VenueCureus · 2020
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsUniversity of Ontario Institute of TechnologyMemorial University of Newfoundland
FundersMemorial University of Newfoundland
KeywordsMedicineObstetrics and gynaecologySimulation trainingMedical emergencyMedical educationNursingPregnancySimulation

Abstract

fetched live from OpenAlex

Within urgent care scenarios in obstetrics and gynecology, there is little educational development surrounding sexual assault simulation scenarios, which reveals a need for increased rehearsal opportunities within medical education. Simulation-based medical education using mannequins, standardized patients, and anatomical silicone models have been suggested as a means to improve such parameters by providing realistic training for residents in the rehearsal of sexual assault scenarios and the application of forensic evidence kits. However, sexual assault training is often only provided to emergency medicine physicians and clinical staff and is not currently a mandatory component of obstetrics and gynecology residency programs across most national academic institutions. This technical report describes the development, implementation, and user-based evaluation of a simulation exercise within a sexual assault clinical learning scenario that uses a silicone vaginal model produced using a three-dimensional (3D) printed mold. The silicone model was covered in artificial blood and attached to an existing mannequin to simulate an examination following a violent sexual assault, which resulted in vaginal lacerations. The clinical room in which the simulation was held reflected that of an operating room in an emergency department, complete with simulation confederates acting as an attending general surgeon, nurse, and anesthesiologist. The obstetrics and gynecology residents acted as the urgent care providers being called into the operating room. The residents were briefed by the general surgeon upon arrival and scrubbed into the surgery. Next, they examined and repaired vaginal lacerations on the silicone model attached to the simulation mannequin. Finally, the residents followed up the clinical simulation with an opportunity to rehearse patient communication and empathy by consoling a standardized patient who acted as the victim of the sexual assault. The purpose of this technical report is to evaluate the efficacy of a silicone vaginal model created from a 3D printed mold, which included a second-degree laceration, to train obstetrics and gynecology residents in the repair of injuries resulting from sexual assault. An evaluation survey was completed by attending residents and the results were strongly in favor of using such anatomical silicone models to increase realism and for the improvement of procedural competency in repairing vaginal lacerations caused by sexual assault.

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)0.001
metaresearch head score (Gemma)0.065
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.065
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.349
GPT teacher head0.478
Teacher spread0.129 · 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 designSimulation or modeling
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

Citations5
Published2020
Admission routes2
Has abstractyes

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