Dataset Information

Factors that motivate individuals to volunteer to be dispatched as first responders in the event of a medical emergency: A systematic review protocol.

ABSTRACT: Background: Voluntary First Response is an important component of prehospital care for medical emergencies, particularly cardiac arrest, in many countries. This intervention entails the mobilisation of volunteers, known as Community First Responders (CFRs), by the Emergency Medical Services to respond to medical emergencies in their locality. They include lay responders and/or professional responders (e.g. police officers, fire fighters, and general practitioners). A wide variety of factors are thought to motivate CFRs to join and remain engaged in Voluntary First Response schemes, such as the availability of learning opportunities, recognition, counselling, and leadership. The aim of this review is to develop an in-depth understanding of CFR motivation, including the factors that influence the initial decision to volunteer as a CFR and the factors that sustain involvement in Voluntary First Response over time. Any factors relevant to CFR de-motivation and turnover will also be examined. Methods: This is a protocol for a qualitative systematic review of the factors that influence the motivation of individuals to participate in Voluntary First Response. A systematic search will be carried out on seven electronic databases. Qualitative studies, mixed-methods studies, and any other studies producing data relating to the review question will be eligible for inclusion. Title and abstract screening, as well as full text screening, will be completed independently by two authors. A narrative synthesis, which is an established qualitative synthesis methodology, will be performed. The quality of each of the included studies will be critically appraised. Discussion: The findings of this review will be used to optimise the intervention of Voluntary First Response. Specifically, the results will inform the design and organisation of Voluntary First Response schemes, including their recruitment, training, and psychological support processes. This could benefit a range of stakeholders, including CFRs, paramedics, emergency physicians, patients, and the public.

SUBMITTER: Heffernan E

PROVIDER: S-EPMC7236422 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Factors that motivate individuals to volunteer to be dispatched as first responders in the event of a medical emergency: A systematic review protocol.

Heffernan Eithne E Oving Iris I Barry Tomás T Phung Viet-Hai VH Siriwardena Aloysius Niroshan AN Masterson Siobhán S

HRB open research 20190101

<b>Background:</b> Voluntary First Response is an important component of prehospital care for medical emergencies, particularly cardiac arrest, in many countries. This intervention entails the mobilisation of volunteers, known as Community First Responders (CFRs), by the Emergency Medical Services to respond to medical emergencies in their locality. They include lay responders and/or professional responders (e.g. police officers, fire fighters, and general practitioners). A wide variety of facto ...[more]

PMID: 32490350

Similar Datasets

Project description:BackgroundSmartphone-based emergency response apps are increasingly being used to identify and dispatch volunteer first responders (VFRs) to medical emergencies to provide faster first aid, which is associated with better prognoses. Volunteers' availability and willingness to respond are uncertain, leading in recent studies to response rates of 17% to 47%. Dispatch algorithms that select volunteers based on their estimated time of arrival (ETA) without considering the likelihood of response may be suboptimal due to a large percentage of alerts wasted on VFRs with shorter ETA but a low likelihood of response, resulting in delays until a volunteer who will actually respond can be dispatched.ObjectiveThis study aims to improve the decision-making process of human emergency medical services dispatchers and autonomous dispatch algorithms by presenting a novel approach for predicting whether a VFR will respond to or ignore a given alert.MethodsWe developed and compared 4 analytical models to predict VFRs' response behaviors based on emergency event characteristics, volunteers' demographic data and previous experience, and condition-specific parameters. We tested these 4 models using 4 different algorithms applied on actual demographic and response data from a 12-month study of 112 VFRs who received 993 alerts to respond to 188 opioid overdose emergencies. Model 4 used an additional dynamically updated synthetic dichotomous variable, frequent responder, which reflects the responder's previous behavior.ResultsThe highest accuracy (260/329, 79.1%) of prediction that a VFR will ignore an alert was achieved by 2 models that used events data, VFRs' demographic data, and their previous response experience, with slightly better overall accuracy (248/329, 75.4%) for model 4, which used the frequent responder indicator. Another model that used events data and VFRs' previous experience but did not use demographic data provided a high-accuracy prediction (277/329, 84.2%) of ignored alerts but a low-accuracy prediction (153/329, 46.5%) of responded alerts. The accuracy of the model that used events data only was unacceptably low. The J48 decision tree algorithm provided the best accuracy.ConclusionsVFR dispatch has evolved in the last decades, thanks to technological advances and a better understanding of VFR management. The dispatch of substitute responders is a common approach in VFR systems. Predicting the response behavior of candidate responders in advance of dispatch can allow any VFR system to choose the best possible response candidates based not only on ETA but also on the probability of actual response. The integration of the probability to respond into the dispatch algorithm constitutes a new generation of individual dispatch, making this one of the first studies to harness the power of predictive analytics for VFR dispatch. Our findings can help VFR network administrators in their continual efforts to improve the response times of their networks and to save lives.

Dataset Information

Factors that motivate individuals to volunteer to be dispatched as first responders in the event of a medical emergency: A systematic review protocol.

Publications

Factors that motivate individuals to volunteer to be dispatched as first responders in the event of a medical emergency: A systematic review protocol.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets