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Enregistrement W1608131986

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

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

Notice bibliographique

RevueAUT Scholarly Commons · 2014
Typedissertation
Langueen
DomaineMedicine
ThématiqueCardiac Arrest and Resuscitation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCardiopulmonary resuscitationMedicineMedical emergencyFirst aidHand positionEmergency medicineResuscitationAnesthesiaComputer science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

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.
\n
\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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,303
Score d'incertitude au seuil0,839

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,019
Tête enseignante GPT0,368
Écart entre enseignants0,349 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2014
Routes d'admission1
Résumé présentoui

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