Intraosseous infusion (IO) remains an underutilized technique for obtaining vascular access in adults, despite its potentially life-saving benefits in trauma patients. In rural and remote areas, shortage of training equipment and human capacity (i.e., simulators) are the main contributors to the shortage of local training courses aiming at the development and maintenance of IO skills. Specifically, current training equipment options available for trainees include commercially available simulators, which are often expensive, or animal tissues, which lack human anatomical features that are necessary for optimal learning and pose logistical and ethical issues related to practice on live animals. Three-dimensional (3D) printing provides the means to create cost-effective, anatomically correct simulators for practicing IO where existing simulators may be difficult to access, especially in remote areas. This technical report aims to describe the development of maxSIMIO, a 3D-printed adult proximal tibia IO simulator, and present feedback on the design features from a clinical co-design team consisting of 18 end-point users. Overall, the majority of the feedback was positive and highlighted that the maxSIMIO simulator was helpful for learning and developing the IO technique. The majority of the clinical team responders also agreed that the simulator was more anatomically accurate compared to other simulators they have used in the past. Finally, the survey results indicated that on average, the simulator is acceptable as a training tool. Notable suggestions for improvement included increasing the stability of the individual parts of the model (such as tightening the skin and securing the bones), enhancing the anatomical accuracy of the experience (such as adding a fibula), making the bones harder, increasing the size of the patella, making it more modular (to minimize costs related to maintenance), and improving the anatomical positioning of the knee joint (i.e., slightly bent in the knee joint). In summary, the clinical team, located in rural and remote areas in Canada, found the 3D-printed simulator to be a functional tool for practicing the intraosseous technique. The outcome of this report supports the use of this cost-effective simulator for simulation-based medical education for remote and rural areas anywhere in the world.
Simulation-based education (SBE) is a sustainable method to allow healthcare professionals to develop competencies in clinical skills that can be difficult to maintain in rural and remote settings. Simulationbased skills training is necessary for healthcare professionals that experience difficulties accessing skills development and maintenance courses to address the needs of rural communities. However, simulators, a key element of simulation, are often prohibitively expensive and follow a "one-size-fits-all" approach. Using additive manufacturing (AM) techniques, more specifically three-dimensional (3D) printing, to produce inexpensive yet functional and customizable simulators is an ideal solution for learners to practice and improve their procedural skills anywhere and anytime. AM allows for the customization of simulators to fit any context while reducing costs and is an economic solution that moves away from the use of animal products to a more ethical, sustainable method for training. This technical report describes the delivery of a fundamental skills workshop to provide hands-on training to rural and remote healthcare professionals using 3D-printed simulators purposefully designed following design-to-cost principles. The workshop was delivered at a three-hour session hosted at a rural and remote medicine course in Ottawa, Canada. The workshop consisted of four technical skills: suturing, cricothyrotomy, episiotomy, and intraosseous infusion (tibial) (IO) and used a blended learning approach to train healthcare professionals and trainees who practice in rural and remote areas. In addition, the learners were granted access to a custom-designed learning management system, which provided a repository of instructional materials, and enabled them to record and upload personal practice sessions, review other learners' practice sessions, collaborate, and provide feedback to other learners. The feedback collected from participants, instructors, and observations on the delivery of the workshop will help improve the structure and training provided to learners. The delivery of this workshop annually is an ideal solution to ensure parsimonious delivery of simulation training for rural and remote healthcare professionals.
MaxSIMhealth is a multidisciplinary network of manufacturing, design, and simulation labs at Ontario Tech University combining expertise in health sciences, business and information technology (IT), and engineering while building community partnerships to advance simulation training. It discovers existing simulation gaps, provides innovative solutions that change systems, and leads to improved healthcare outcomes. Specifically, it utilizes disruptive technologies, including 3D printing, gaming, and extended reality, as innovative solutions that deliver cost-effective, portable, and realistic simulation, which is currently lacking. MaxSIMhealth is a novel collaborative innovation with aims to develop future cohorts of scholars with strong competencies ranging from technology application, to collaborating in new environments, communicating professionally, and problem-solving. Its work will transform current health professional education landscapes by providing novel, flexible, and inexpensive simulation environments. This editorial aims to showcase maxSIMhealth's innovative strategy focusing on collaborations of expertise in order to develop new simulation solutions that advance the health industry.
Intraosseous (IO) infusion is an alternative way to access the vascular system to administer drugs and fluids, which is particularly helpful when the commonly used peripheral intravenous route is inaccessible. The IO procedure can be done using a drill that involves disinfecting the area, landmarking the insertion point, seating the needle in a firm and stable position in the bone, and then delivering a smooth fluid flush. However, in the current medical training landscape, access to commercially available IO drills such as the Arrow® EZ-IO® Power Driver (EZ-IO; Teleflex, Morrisville, North Carolina, United States) is difficult, especially for rural and remote areas, due to the high costs. Furthermore, the EZ-IO is not rechargeable and does not clearly indicate the remaining battery life, which could potentially put patients at risk during the IO procedure. This technical report aims to address these concerns by describing the development of an alternative, affordable, and reliable IO drilling system for training use: the maxSIMIO Drilling System. This system consists of a cordless and rechargeable IKEA screwdriver which connects to a conventional, hexagon-shaped 3D-printed drill bit needle adapter. Two needle adapters were created: Version A was designed to use a friction-based mechanism to couple the screwdriver with the EZ-IO training needle, while Version B relies on a magnetic mechanism. The major differences between the EZ-IO and the screwdriver are that a) the EZ-IO has only one rotation to advance the cannula while the screwdriver features both directions, b) the EZ-IO is not rechargeable while the screwdriver is, and c) the EZ-IO has a custom needle holder that can fit any EZ-IO training needle size while the screwdriver needs to have a custom needle adapter made to connect to the EZ-IO training needle. Overall, through this exploration, the features of the maxSIMIO Drilling System in comparison to the EZ-IO appear more accessible for IO training. Future considerations for this development include gathering clinical expertise through rigorous testing of this novel system.
The purpose of this report is to: (1) highlight challenges of transitioning the delivery of simulation from centralized, in-person laboratory to decentralized, home-based, online format; (2) suggest a solution that involves the use of crowdsourcing community-based 3-dimensional printers to produce affordable simulators; and (3) present exploratory research and a test case aiming to identify crowdsourcing frameworks to accomplish this. We present a test case that shows the potential of the proposed solution to scale up the decentralized simulation practices during and beyond the COVID-19 pandemic. As a largely uncharted territory, the test case highlighted successes and areas for improvement that need to be addressed through both theoretical and empirical research and testing before full implementation and scale-up.
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