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Improving the Use of Pelvic Binding Devices During Pre‐Hospital Care Through Application Modules on Advanced Dissection Specimens During Advanced Care Paramedic Labs

2017· article· en· W4389020114 on OpenAlexaff
Alexander L. Stubbs

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicPelvic and Acetabular Injuries
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPelvisMedicinePelvic fractureDissection (medical)Surgery

Abstract

fetched live from OpenAlex

The health sciences consist of several professional disciplines in which life‐saving techniques are exercised on a daily basis. Fields such as para‐medicine open the possibility of advanced pre‐hospital care, allowing previously fatal injuries to be stabilized during quick transport to a nearby trauma center. Emergency stabilization of acute pelvic fractures using pelvic binders, is but one of the life saving procedures done regularly; however, approximately 50% of pelvic binders are placed incorrectly during pre‐hospital treatment which could prove detrimental to the binder's success. A poor understanding of pelvic anatomy and the common bleeding sites could be a major factor for the limited success rate of pelvic binding procedures. While there are many videos showing the application of pelvic binding devices, none explain the impact these devices may have on the internal pelvic anatomy. This study aims to develop modules that clearly identify the major sources of bleeding from internal pelvic structures after a pelvic fracture has been sustained, as well as to indicate the location of major vessels in relation to commonly fractured sites. In addition to highlighting relevant pelvic anatomy, the modules will also demonstrate the proper application of a pelvic binding device through the use of the palpable landmarks on the pelvis and femur. These modules will be incorporated into an advanced care paramedic (ACP) program during their interactive lab sections. The ACP class will be randomly distributed into two equal sized cohorts; one of which will be shown the modules prior to attempting the pelvic binding technique and will have access to the modules during their lab, while the other will receive standard instruction. The number of attempts required to successfully apply the pelvic binding tool by each individual ACP student will act as the measure of the modules success. If the modules are successful, fewer attempts will be required to accurately place the pelvic binding tool, indicating that a better understanding of pelvic anatomy may translate to more accurate care in the field.

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)0.000
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 score0.199
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.016
GPT teacher head0.276
Teacher spread0.261 · 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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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