Basic life support and automated external defibrillator skills among ambulance personnel: a manikin study performed in a rural low-volume ambulance setting

Pathophysiology and Prevention of Manual-Ventilation-Induced Lung Injury (MVILI)

Manual ventilation, most commonly with a bag-valve mask, is a form of short-term ventilation used during resuscitative efforts in emergent and out-of-hospital scenarios. However, compared to mechanical ventilation, manual ventilation is an operator-dependent skill that is less well controlled and is highly subject to providing inappropriate ventilation to the patient. This article first reviews recent manual ventilation guidelines set forth by the American Heart Association and European Resuscitation Council for providing appropriate manual ventilation parameters (e.g., tidal volume and respiratory rate) in different patient populations in the setting of cardiopulmonary resuscitation. There is then a brief review of clinical and manikin-based studies that demonstrate healthcare providers routinely hyperventilate patients during manual ventilation, particularly in emergent scenarios. A discussion of the possible mechanisms of injury that can occur during inappropriate manual hyperventilation follows, including adverse hemodynamic alterations and lung injury such as acute barotrauma, gastric regurgitation and aspiration, and the possibility of a subacute, inflammatory-driven lung injury. Together, these injurious processes are described as manual-ventilation-induced lung injury (MVILI). This review concludes with a discussion that highlights recent progress in techniques and technologies for minimizing manual hyperventilation and MVILI, with a particular emphasis on tidal-volume feedback devices.

How much ambulance personnel know about basic life support (BLS)? A hospital-based study from Eastern India

Background:

Basic life support (BLS) is an important component of emergency medical management. Ambulance personnel play a key role in resuscitation to save a life before reaching the hospital. We do not have any published data about the level of knowledge on BLS among the ambulance personnel.

Objective:

This study was done with the objective to assess the level of knowledge on BLS among the ambulance personnel.

Materials and Methods:

A cross-sectional study was done in the emergency department (ED) of a tertiary care hospital. Universal sampling was done taking all the personnel of ambulances over the period of one month. Data were collected about the type of vehicle used for ambulance, the number of personnel in an ambulance, educational qualifications, and equipment present in their ambulances. The questionnaire to capture the level of knowledge were based on American Heart Association 2015 guidelines.

Result:

The total number of ambulance arrivals was 729 times. But data analysis was done from 104 ambulances excluding the repeat arrivals and those who did not give consent. There were 62 type-C and D ambulances, and 42 were type-B ambulances. Total of 210 personnel were there in 104 ambulances. Seventy-nine team leaders did not have any paramedical degrees. Fifty-eight team leaders were trained in BLS before working in an ambulance. In spite of this, 66 (63%) team leaders had poor performance (score of 0 to 4).

Conclusion:

The level of knowledge on BLS was poor in more than half of the ambulance personnel. They should be trained regularly on providing BLS.

The Copenhagen Tool a research tool for evaluation of basic life support educational interventions

INTRODUCTION

Over the past decades, major changes have been made in basic life support (BLS) guidelines and manikin technology. The aim of this study was to develop a BLS evaluation tool based on international expert consensus and contemporary validation to enable more valid comparison of research on BLS educational interventions.

METHODS

A modern method for collecting validation evidence based on Messick's framework was used. The framework consists of five domains of evidence: content, response process, internal structure, relations with other variables, and consequences. The research tool was developed by collecting content evidence based on international consensus from an expert panel; a modified Delphi process decided items essential for the tool. Agreement was defined as identical ratings by 70% of the experts.

RESULTS

The expert panel established consensus on a three-levelled score depending on expected response level: laypersons, first responders, and health care personnel. Three Delphi rounds with 13 experts resulted in 16 "essential" items for laypersons, 21 for first responders, and 22 for health care personnel. This, together with a checklist for planning and reporting educational interventional studies within BLS, serves as an example to be used for researchers.

CONCLUSIONS

An expert panel agreed on a three-levelled score to assess BLS skills and the included items. Expert panel consensus concluded that the tool serves its purpose and can act to guide improved research comparison on BLS educational interventions.

Supplementary dataset to self-learning training compared with instructor-led training in basic life support

In this article, we present supplementary data to the article entitled "Self-learning training versus instructor-led training in basic life support: a cluster randomised trial" [1]. In three supplementary files, we present the informed consent of the included participants, the modified instrument to calculate the total score for practical skills called "the Cardiff Test of basic life support and automated external defibrillation" and the questionnaire to obtain background factors, theoretical knowledge, self-assessed knowledge and confidence and willingness to act, distributed directly after training and six months after training. The results of comparisons between "directly after intervention" and "six months after intervention", for each training group separately, are presented in three tables. We also present two tables showing the reasons why the participants were not prepared to perform compressions and/or ventilations in the event of a sudden out-of-hospital cardiac arrest.

Effectiveness of web-based education in addition to basic life support learning activities: A cluster randomised controlled trial

BACKGROUND

Effective education in basic life support (BLS) may improve the early initiation of high-quality cardiopulmonary resuscitation and automated external defibrillation (CPR-AED).

AIM

To compare the learning outcome in terms of practical skills and knowledge of BLS after participating in learning activities related to BLS, with and without web-based education in cardiovascular diseases (CVD).

METHODS

Laymen (n = 2,623) were cluster randomised to either BLS education or to web-based education in CVD before BLS training. The participants were assessed by a questionnaire for theoretical knowledge and then by a simulated scenario for practical skills. The total score for practical skills in BLS six months after training was the primary outcome. The total score for practical skills directly after training, separate variables and self-assessed knowledge, confidence and willingness, directly and six months after training, were the secondary outcomes.

RESULTS

BLS with web-based education was more effective than BLS without web-based education and obtained a statistically significant higher total score for practical skills at six months (mean 58.8, SD 5.0 vs mean 58.0, SD 5.0; p = 0.03) and directly after training (mean 59.6, SD 4.8 vs mean 58.7, SD 4.9; p = 0.004).

CONCLUSION

A web-based education in CVD in addition to BLS training enhanced the learning outcome with a statistically significant higher total score for performed practical skills in BLS as compared to BLS training alone. However, in terms of the outcomes, the differences were minor, and the clinical relevance of our findings has a limited practical impact.

Self-learning training versus instructor-led training for basic life support: A cluster randomised trial

AIM

To compare the effectiveness of two basic life support (BLS) training interventions.

METHODS

This experimental trial enrolled 1301 lay people in BLS training. The participants were cluster randomised to either self-learning training or to traditional instructor-led training. Both groups used the Mini-Anne Kit (Laerdal Medical, Stavanger, Norway) and standardised film instructions. After training, the participants practical skills were measured on a Resusci Anne manikin and an AED trainer with the PC SkillReporting system (Laerdal Medical, Stavanger, Norway). The primary outcome was the total score from the modified Cardiff Test of basic life support with automated external defibrillation (19-70 points), six months after training. The secondary outcomes were total score directly after training and quality of individual variables, self-assessed knowledge, confidence and willingness to act, directly and six months after training.

RESULTS

For primary outcome six months after training there was no statistically significant difference (p = 0.44) between the total score for the self-learning group (n = 670; median 59, IQR 55-62) compared with the instructor-led group (n = 561; median 59, IQR 55-63). The instructor-led training resulted in a statistically significant higher total score (median 61 versus 59, p < 0.0001), self-assessed knowledge and willingness to act, directly after training (secondary outcomes) compared with the self-learning training.

CONCLUSIONS

There was no statistically significant difference in practical skills or willingness to act when comparing self-learning training with instructor-led training six months after training in BLS. However, directly after the intervention, practical skills were better when the training was led by an instructor.

Assessing student paramedic visual and verbal checks for defibrillation safety-an observational study

One of the cornerstones in resuscitation training is defibrillation safety, inadvertent “shocking” of the patient when another person has contact with the patient may have a range of safety consequences. The objective of the study was to assess visual and verbal safety checks by paramedic students prior to defibrillation. This was a prospective observational mannequin study of defibrillation safety during a simulated cardiac arrest by paramedic students. The study was conducted in the lounge room of the Department of Community Emergency Health & Paramedic Practice simulation flat, a replica of a complete flat where prehospital simulations are conducted. Each student completed two 10-min cardiac arrest simulations with multiple defibrillation attempts. Each student and an independent Faculty member rated the simulation safety performance using a defibrillation safety self-assessment (DSSA) form. Twenty-four (20 %) students participated in the study with 14 (58 %) being female. For scenario one agreement between student and assessor proved significant for “scanning the incident scene” for all three defibrillation attempts, with agreement ranging from 29 % (p = 0.044) to 47 % (p = 0.007), and stating “stand clear” for defibrillation attempt one and three with the agreement ranging from 47 % (p = 0.007) to 100 % (p < 0.001). For scenario two agreement between student and assessor proved significant for “charging eye contact” for all three defibrillation attempts, with agreement ranging from 40 % (p = 0.043) to 53 % (p = 0.003), and “scanning the scene to ensure all persons are clear of the patient” before defibrillation attempt one and two with agreement ranging from 29 % (p = 0.044) to 46 % (p < 0.007). The results of this study suggest student perception of their performance and what they actually do is vastly different. Further studies using video recording glasses are required so students can gain an accurate and realistic sense of their defibrillation safety performance.

Spatial Variation and Resuscitation Process Affecting Survival after Out-of-Hospital Cardiac Arrests (OHCA)

BACKGROUND

Ambulance response times and resuscitation efforts are critical predictors of the survival rate after out-of-hospital cardiac arrests (OHCA). On the other hand, rural-urban differences in the OHCA survival rates are an important public health issue.

METHODS

We retrospectively reviewed the January 2011-December 2013 OHCA registry data of Kaohsiung City, Taiwan. With particular focus on geospatial variables, we aimed to unveil risk factors predicting the overall OHCA survival until hospital admission. Spatial analysis, network analysis, and the Kriging method by using geographic information systems were applied to analyze spatial variations and calculate the transport distance. Logistic regression was used to identify the risk factors for OHCA survival.

RESULTS

Among the 4,957 patients, the overall OHCA survival to hospital admission was 16.5%. In the multivariate analysis, female sex (adjusted odds ratio:, AOR, 1.24 [1.06-1.45]), events in public areas (AOR: 1.30 [1.05-1.61]), exposure to automated external defibrillator (AED) shock (AOR: 1.70 [1.30-2.23]), use of laryngeal mask airway (LMA) (AOR: 1.35 [1.16-1.58]), non-trauma patients (AOR: 1.41 [1.04-1.90]), ambulance bypassed the closest hospital (AOR: 1.28 [1.07-1.53]), and OHCA within the high population density areas (AOR: 1.89 [1.55-2.32]) were positively associated with improved OHCA survival. By contrast, a prolonged total emergency medical services (EMS) time interval was negatively associated with OHCA survival (AOR: 0.98 [0.96-0.99]).

CONCLUSIONS

Resuscitative efforts, such as AED or LMA use, and a short total EMS time interval improved OHCA outcomes in emergency departments. The spatial heterogeneity of emergency medical resources between rural and urban areas might affect survival rate.

Mapping the use of simulation in prehospital care - a literature review

Background

High energy trauma is rare and, as a result, training of prehospital care providers often takes place during the real situation, with the patient as the object for the learning process. Such training could instead be carried out in the context of simulation, out of danger for both patients and personnel. The aim of this study was to provide an overview of the development and foci of research on simulation in prehospital care practice.

Methods

An integrative literature review were used. Articles based on quantitative as well as qualitative research methods were included, resulting in a comprehensive overview of existing published research. For published articles to be included in the review, the focus of the article had to be prehospital care providers, in prehospital settings. Furthermore, included articles must target interventions that were carried out in a simulation context.

Results

The volume of published research is distributed between 1984- 2012 and across the regions North America, Europe, Oceania, Asia and Middle East. The simulation methods used were manikins, films, images or paper, live actors, animals and virtual reality. The staff categories focused upon were paramedics, emergency medical technicians (EMTs), medical doctors (MDs), nurse and fire fighters. The main topics of published research on simulation with prehospital care providers included: Intubation, Trauma care, Cardiac Pulmonary Resuscitation (CPR), Ventilation and Triage.

Conclusion

Simulation were described as a positive training and education method for prehospital medical staff. It provides opportunities to train assessment, treatment and implementation of procedures and devices under realistic conditions. It is crucial that the staff are familiar with and trained on the identified topics, i.e., intubation, trauma care, CPR, ventilation and triage, which all, to a very large degree, constitute prehospital care. Simulation plays an integral role in this. The current state of prehospital care, which this review reveals, includes inadequate skills of prehospital staff regarding ventilation and CPR, on both children and adults, the lack of skills in paediatric resuscitation and the lack of knowledge in assessing and managing burns victims. These circumstances suggest critical areas for further training and research, at both local and global levels.