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Purpose: The purpose of this paper is to report progress concerning the design of a computer-assisted simulation training (CAST) platform for developing decision-making skills in police students. The overarching aim is to outline a theoretical framework for the design of CAST to facilitate police students' development of search techniques in complex interactions within the built environment, learning to apply and perform the five "quick peek" techniques for information gathering, and subsequent risk evaluation. Design/methodology/approach: The paper draws on Luckin's ecology of resources model of learner context informed with perspectives on reflective thinking from John Dewey and Donald Schön. The paper discusses design issues within the ecology of resources model applied on CAST for complex police situations. Findings: It is suggested that Luckin's framework with its focus on the interaction between different elements and filters in the learner's context together with Schön's perspective on reflection challenge educational designers to look beyond the immediate development of specific tools (such as the CAST in this project) and examine how these tools will be effectively embedded in the overall learning experience. Originality/value: This paper has presented two theoretical perspectives, Luckin's ecology of resources model and Schön's perspective on reflective practice as foundations for the educational design of CAST. Applying Luckin's framework as informed by Schön helps focus attention on issues that are important in the design process in order to facilitate educational transfer.

We describe logistical challenges, illness/injury rates, as well as medical and ambulance transfer rates (ATR) at an annual large-scale half/full triathlon in a remote location. Prospective observational study; registry data. Data on patient presentation rates, percentage of patients transferred by ambulance, transfer to hospital rates (TTHR), ATR, and medical usage rates were collected and analyzed. In total, 1923 athletes participated in the 2016 triathlon (1404 in the full-length race and 519 in the half) and 181 patient encounters were documented. The patient presentation rate (PPR) was 94 in 1000 patients, and 1.6% of patients seen onsite required offsite medical care. TTHR and ATR were 1.6 in 1000 and 0.5 in 1000, respectively. Gastrointestinal issues were the most common presentation (50/181; 27.6%), followed by musculoskeletal injury (46/181; 25.4%) and nonspecific dizziness (37/181; 20.4%). The incorporation of a coordinated event medical plan and team, with integrated on-course and at-finish coverage, may have minimized presentations of patients to local health care services; therefore, decreasing the effect on the local ambulance service and health infrastructure of the host community. [ABSTRACT FROM AUTHOR]

Background: Paramedicine is a rapidly evolving health profession with increasing responsibilities and contributions to healthcare. This rapid growth has left the profession with unclear professional and clinical boundaries. Existing defining frameworks may no longer align with the practice of paramedicine or expectations of the public. The purpose of this study was to explore the roles paramedics in Canada are to embody and that align with or support the rapid and ongoing evolution of the profession.Methods: We used a concurrent mixed methods study design involving a focused discourse analysis (i.e., analysis of language used to describe paramedics and paramedicine) of peer reviewed and grey literature (Phase 1) and in-depth one-on-one semi-structured interviews with key informants in Canadian paramedicine (Phase 2). Data from both methods were analyzed simultaneously throughout and after being merged using inductive thematic analysis.Results: Saturation was reached after 99 national and international grey and peer reviewed publications and 20 in depth interviews with stakeholders representing six provinces, seven different service/agency types, 11 operational roles and seven provider roles. After merging both data sets three framing concepts, six roles and four crosscutting themes emerged that may be significant to both present-day practice and aspirational. Framing concepts, which provide context, include variable contexts or practice, embedded relationships and a health and social continuum. Roles include clinician, health and social advocate, team member, educator, professional and reflective practitioner. Crosscutting themes including patient safety, adaptability, compassion and communication appear to exist in all roles.Conclusions: The paramedic profession is experiencing a shift that appears to deviate or at least place a tension on traditional views or models of practice. Underlying and evolving notions of practice are resulting in intended or actual clinical and professional boundaries that may require the profession to re-think how it is defined and/or shaped. Until these framing concepts, roles and crosscutting themes are fully understood, tested and operationalized, tensions between guiding frameworks and actual or intended practice may persist. [ABSTRACT FROM AUTHOR]

Background: Current knowledge about mass-gathering health (MGH) fails to adequately inform the understanding of mass gatherings (MGs) because of a relative lack of theory development and adequate conceptual analysis. This report describes the development of a series of event lenses that serve as a beginning "MG event model," complimenting the "MG population model" reported elsewhere., Methods: Existing descriptions of "MGs" were considered. Analyzing gaps in current knowledge, the authors sought to delineate the population of events being reported. Employing a consensus approach, the authors strove to capture the diversity, range, and scope of MG events, identifying common variables that might assist researchers in determining when events are similar and might be compared. Through face-to-face group meetings, structured breakout sessions, asynchronous collaboration, and virtual international meetings, a conceptual approach to classifying and describing events evolved in an iterative fashion. Findings Embedded within existing literature are a variety of approaches to event classification and description. Arising from these approaches, the authors discuss the interplay between event demographics, event dynamics, and event design. Specifically, the report details current understandings about event types, geography, scale, temporality, crowd dynamics, medical support, protective factors, and special hazards. A series of tables are presented to model the different analytic lenses that might be employed in understanding the context of MG events. Interpretation The development of an event model addresses a gap in the current body of knowledge vis a vis understanding and reporting the full scope of the health effects related to MGs. Consistent use of a consensus-based event model will support more rigorous data collection. This in turn will support meta-analysis, create a foundation for risk assessment, allow for the pooling of data for illness and injury prediction, and support methodology for evaluating health promotion, harm reduction, and clinical response interventions at MGs.

Background: The science underpinning the study of mass-gathering health (MGH) is developing rapidly. Current knowledge fails to adequately inform the understanding of the science of mass gatherings (MGs) because of the lack of theory development and adequate conceptual analysis. Defining populations of interest in the context of MGs is required to permit meaningful comparison and meta-analysis between events. Process A critique of existing definitions and descriptions of MGs was undertaken. Analyzing gaps in current knowledge, the authors sought to delineate the populations affected by MGs, employing a consensus approach to formulating a population model. The proposed conceptual model evolved through face-to-face group meetings, structured break out sessions, asynchronous collaboration, and virtual international meetings. Findings and Interpretation Reporting on the incidence of health conditions at specific MGs, and comparing those rates between and across events, requires a common understanding of the denominators, or the total populations in question. There are many, nested populations to consider within a MG, such as the population of patients, the population of medical services providers, the population of attendees/audience/participants, the crew, contractors, staff, and volunteers, as well as the population of the host community affected by, but not necessarily attending, the event. A pictorial representation of a basic population model was generated, followed by a more complex representation, capturing a global-health perspective, as well as academically- and operationally-relevant divisions in MG populations., Conclusions: Consistent definitions of MG populations will support more rigorous data collection. This, in turn, will support meta-analysis and pooling of data sources internationally, creating a foundation for risk assessment as well as illness and injury prediction modeling. Ultimately, more rigorous data collection will support methodology for evaluating health promotion, harm reduction, and clinical-response interventions at MGs. Delineating MG populations progresses the current body of knowledge of MGs and informs the understanding of the full scope of their health effects.

Mass gatherings (MG) impact their host and surrounding communities and with inadequate planning, may impair baseline emergency health services. Mass gatherings do not occur in a vacuum; they have both consumptive and disruptive effects that extend beyond the event itself. Mass gatherings occur in real geographic locations that include not only the event site, but also the surrounding neighborhoods and communities. In addition, the impact of small, medium, or large special events may be felt for days, or even months, prior to and following the actual events. Current MG reports tend to focus on the events themselves during published event dates and may underestimate the full impact of a given MG on its host community. In order to account for, and mitigate, the full effects of MGs on community health services, researchers would benefit from a common model of community impact. Using an operations lens, two concepts are presented, the "vortex" and the "ripple," as metaphors and a theoretical model for exploring the broader impact of MGs on host communities. Special events and MGs impact host communities by drawing upon resources (vortex) and by disrupting normal, baseline services (ripple). These effects are felt with diminishing impact as one moves geographically further from the event center, and can be felt before, during, and after the event dates. Well executed medical and safety plans for events with appropriate, comprehensive risk assessments and stakeholder engagement have the best chance of ameliorating the potential negative impact of MGs on communities.