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Record W1608131986

The effect of paramedic position on external chest compression quality: a simulation study

2014· dissertation· en· W1608131986 on OpenAlexaboutno aff
Paul Davey

Bibliographic record

VenueAUT Scholarly Commons · 2014
Typedissertation
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsnot available
Fundersnot available
KeywordsCardiopulmonary resuscitationMedicineMedical emergencyFirst aidHand positionEmergency medicineResuscitationAnesthesiaComputer science
DOInot available

Abstract

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Out-of-hospital cardiac arrest (OHCA) is a globally important public health issue that continues to be a significant cause of premature death. The incidence of OHCA treated by Emergency Medical Services (EMS) is around 50 to 55/100,000 per person-years across the US, Canada, Australia and New Zealand. There is significant disparity in the rates of survival to hospital discharge from OHCA. For OHCA treated by EMS this rate can vary as much as 1% to 31%.
\nIn order to improve outcomes for cardiac arrests the International Liaison Committee on Resuscitation (ILCOR) aims to integrate resuscitation science with real world clinical practice. ILCOR states there is a need to develop a culture of high quality resuscitation using a quality improvement approach. Survival from cardiac arrest is a complex issue with many stakeholders that form the basis of a system of care. ILCOR proposes that individual performance needs to be evaluated so that participants within the system of care are informed and can therefore effectively intervene to improve care
\nParamedics are the primary treatment providers for OHCA. Recently the resuscitation guidelines, which paramedics use in their practice, have emphasised the performance of quality chest compressions. With this in mind this thesis sought to investigate whether the position of the paramedic performing chest compressions, either from-the-side (FTS) or over-the-head (OTH), influenced the quality of cardiopulmonary resuscitation (CPR). A review literature identified only a few small studies in which OTH CPR was investigated over short durations. There was heterogeneity in the study design, types of participants and quality metrics measured with inconsistencies in the results across the studies. All of the studies identified in the review were manikin studies that used manikin-based technology, such as the Laerdal Skill Reporter (LSR), to measure the quality of CPR. Subsequent to these studies defibrillator technology has evolved and now devices that can measure CPR quality have been integrated into the defibrillator, an example of which is Q-CPR associated with the MRx defibrillator. Such devices enable measurement of CPR quality in both manikin and human studies.
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\nThe first study (Chapter 3) investigated if the new defibrillator technology could be used to measure CPR quality in a manikin study. This study compared the measurement of CPR quality metrics simultaneously using LSR and Q-CPR, for chest compression performed OTH and FTS. The principle finding of this study was that there is no significant difference in the majority of chest compression quality metrics measured between the LSR and the Q-CPR devices. However, there were significant differences in the measurement of duty cycle and also the depth of compressions between the two devices. The mean difference in the depth of compression was observed to increase with an increasing incidence of leaning. The conclusion was that Q-CPR is a suitable alternative to LSR for measurement of the CPR quality and thus it was used in the main study.
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\nThe main study compared OTH and FTS CPR quality (performed by 30 paramedics) during two simulated cardiac arrest scenarios, each of approximately 25 minutes duration. There was no significant difference in mean CPR quality between compressions performed OTH or FTS for all metrics measured. We concluded that for two rescuer CPR the composite technique, where the paramedic that is positioned at the head of the manikin performs OTH CPR, is an effective alternative to the traditional method of only performing CPR FTS.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.303
Threshold uncertainty score0.839

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.019
GPT teacher head0.368
Teacher spread0.349 · 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.

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

Citations1
Published2014
Admission routes1
Has abstractyes

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