Human factors influencing out‐of‐hospital cardiac arrest survival

Morgan, Dominic; Muscatello, DJ; Hayen, Andrew; Travaglia, Joanne

doi:10.1111/1742-6723.13222

Cited by 4 publications

(4 citation statements)

References 23 publications

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“…Many barriers exist to prevent laypersons to start CPR [ 53 – 55 ] and, therefore, regardless of first-aid interventions the rate of performed CPR if needed in real-life situation remains too low [ 31 , 32 ]. Out-of-hospital cardiac arrest survival is influenced by human factors [ 56 ]. The number of studies evaluating the emotional aspects of first aid is, however, limited.…”

Section: Discussionmentioning

confidence: 99%

How to evaluate first aid skills after training: a systematic review

Minna

Hiltunen

Kärkkäinen

2022

Scand J Trauma Resusc Emerg Med

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Background To be able to help and save lives, laypersons are recommended to undergo first aid trainings. The aim of this review was to explore the variety of the elements of the measuring systems to assess the effects of first aid trainings on different aspects of first aid skills including practical skills, knowledge, and emotional perspectives. Methods This systematic literature review used Scopus and PubMed databases and searched for studies published between January, 2000, and December, 2020. Out of 2,162 studies meeting the search criteria, 15 studies with quantitative and repeatable evaluation methods to assess first aid skills after first aid training for adults were included in the final analysis. Results Practical skills, especially on the ability to perform cardiopulmonary resuscitation (CPR) and to use an automated external defibrillator, were the most studied first aid skills after first aid training. This evaluation was based on several standardized measurements and assessed often with the help of a combination of resuscitation manikin and observer. Evaluation methods of performance in other emergency situations are not well standardized. Questionnaires used to assess knowledge of first aid, though seemingly based on guidelines, were also not standardized, either. Emotional aspects of first aid (willingness or self-confidence) were evaluated by highly simplified questionnaires, and answers were graded by five-point Likert scale. Conclusion According to our review, the focus of evaluation methods after first aid training has been on practical skills and especially on CPR. Though the evaluation of first-aid knowledge seems to be straightforward, it is not performed systematically. Evaluation methods for emotional aspects are highly simplified. Overall, standardized measurements and evaluation methods to assess all aspects of first aid skills are needed.

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Section: Discussionmentioning

confidence: 99%

How to evaluate first aid skills after training: a systematic review

Minna

Hiltunen

Kärkkäinen

2022

Scand J Trauma Resusc Emerg Med

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“…8 Individual medical literacy, community and bystander involvement, the timing of cardiopulmonary resuscitation, EMS characteristics, and hospital services affect the OHCA outcomes. 9 , 10 With the increasing impact of CVD in developing countries (low and middle-income countries - LMIC), it is imperative to have registries on OHCA. While several of the registries are developed based on the Utstein template, there is limited data on OHCA from India.…”

Section: Introductionmentioning

confidence: 99%

Epidemiology of out-of-Hospital Cardiac Arrests, knowledge of cardiovascular disease and risk factors in a regional setting in India: The Warangal Area out-of-hospital Cardiac Arrest Registry (WACAR)

Ramaka¹,

Nazir

Murthy

et al. 2020

Indian Heart Journal

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Objective Out-of-Hospital Cardiac Arrest (OHCA) is a global public health problem. There is inadequate data on OHCA in India. The Warangal Area out-of-hospital Cardiac Arrest Registry (WACAR) was planned to understand OHCA in a regional setting in India. Methods WACAR is a prospective one-year observational cohort study of OHCA in the Warangal area, Telangana, India. The study included 814 subjects of OHCA of presumed cardiac etiology brought to the Mahatma Gandhi Memorial Hospital during January 1, 2018, and December 31, 2018. The data collected included; standard Utstein variables with additional data on clinical characteristics (modified Utstein template). Results The majority of OHCA subjects were male with a median age of 60 years, and mostly occurring in residential locations within 1 h of onset of symptoms. Individuals with knowledge of CVD risk factors were more likely to report symptoms before OHCA. Data on resuscitation characteristics were inadequate. Conclusions The WACAR study provides baseline data regarding OHCA in a regional setting in India. The study demonstrated barriers involving data collection, patient knowledge of CVD risk factors and disease, and access to healthcare, which; impacted the data registry.

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“…International Journal of General Medicine 2022:15 7402 whose cardiac event is unwitnessed and who receive no CPR from the bystanders. 23,24 In the Çinier's study, primary percutaneous coronary intervention (PPCI) for STEMI patients had a longer ischemic time and door-to-balloon time prolonged by 28 minutes, which does not affect in-hospital mortality risk. 25 In the COVID-19 pandemic, the EMS total time was extended by 3 minutes, but the survival to discharge rate was similar.…”

Section: Dovepressmentioning

confidence: 99%

Tree-Based Algorithms and Association Rule Mining for Predicting Patients’ Neurological Outcomes After First-Aid Treatment for an Out-of-Hospital Cardiac Arrest During COVID-19 Pandemic: Application of Data Mining

Lin¹,

Huang²,

Chien³

et al. 2022

IJGM

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The authors performed several tree-based algorithms and an association rules mining as data mining tools to find useful determinants for neurological outcomes in out-of-hospital cardiac arrest (OHCA) patients as well as to assess the effect of the first-aid and basic characteristics in the EMS system. Patients and Methods: This was a retrospective cohort study. The outcome was Cerebral Performance Categories grading on OHCA patients at hospital discharge. Decision tree-based models inclusive of C4.5 algorithm, classification and regression tree and random forest were built to determine an OHCA patient's prognosis. Association rules mining was another data mining method which we used to find the combination of prognostic factors linked to the outcome. Results: The total of 3520 patients were included in the final analysis. The mean age was 67.53 (±18.4) year-old and 63.4% were men. To overcome the imbalance outcome issue in machine learning, the random forest has a better predictive ability for OHCA patients in overall accuracy (91.19%), weighted precision (88.76%), weighted recall (91.20%) and F1 score (0.9) by oversampling adjustment. Under association rules mining, patients who had any witness on the spot when encountering OHCA or who had ever ROSC during first-aid would be highly correlated with good CPC prognosis. Conclusion:The random forest has a better predictive ability for OHCA patients. This paper provides a role model applying several machine learning algorithms to the first-aid clinical assessment that will be promising combining with Artificial Intelligence for applying to emergency medical services.

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Human factors influencing out‐of‐hospital cardiac arrest survival

Cited by 4 publications

References 23 publications

How to evaluate first aid skills after training: a systematic review

How to evaluate first aid skills after training: a systematic review

Epidemiology of out-of-Hospital Cardiac Arrests, knowledge of cardiovascular disease and risk factors in a regional setting in India: The Warangal Area out-of-hospital Cardiac Arrest Registry (WACAR)

Tree-Based Algorithms and Association Rule Mining for Predicting Patients’ Neurological Outcomes After First-Aid Treatment for an Out-of-Hospital Cardiac Arrest During COVID-19 Pandemic: Application of Data Mining

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