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Sullivan J, Skladman R, Varagur K, Tenenbaum E, Sacks JL, Martin C, Gordon T, Murphy J, Moritz WR, Sacks JM. From Augmented to Virtual Reality in Plastic Surgery: Blazing the Trail to a New Frontier. J Reconstr Microsurg 2024; 40:398-406. [PMID: 37884060 DOI: 10.1055/a-2199-3870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
BACKGROUND Augmented reality (AR) and virtual reality (VR)-termed mixed reality-have shown promise in the care of operative patients. Currently, AR and VR have well-known applications for craniofacial surgery, specifically in preoperative planning. However, the application of AR/VR technology to other reconstructive challenges has not been widely adopted. Thus, the purpose of this investigation is to outline the current applications of AR and VR in the operative setting. METHODS The literature pertaining to the use of AR/VR technology in the operative setting was examined. Emphasis was placed on the use of mixed reality technology in surgical subspecialities, including plastic surgery, oral and maxillofacial surgery, colorectal surgery, neurosurgery, otolaryngology, neurosurgery, and orthopaedic surgery. RESULTS Presently, mixed reality is widely used in the care of patients requiring complex reconstruction of the craniomaxillofacial skeleton for pre- and intraoperative planning. For upper extremity amputees, there is evidence that VR may be efficacious in the treatment of phantom limb pain. Furthermore, VR has untapped potential as a cost-effective tool for microsurgical education and for training residents on techniques in surgical and nonsurgical aesthetic treatment. There is utility for mixed reality in breast reconstruction for preoperative planning, mapping perforators, and decreasing operative time. VR has well- documented applications in the planning of deep inferior epigastric perforator flaps by creating three-dimensional immersive simulations based on a patient's preoperative computed tomography angiogram. CONCLUSION The benefits of AR and VR are numerous for both patients and surgeons. VR has been shown to increase surgical precision and decrease operative time. Furthermore, it is effective for patient-specific rehearsal which uses the patient's exact anatomical data to rehearse the procedure before performing it on the actual patient. Taken together, AR/VR technology can improve patient outcomes, decrease operative times, and lower the burden of care on both patients and health care institutions.
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Affiliation(s)
- Janessa Sullivan
- Division of Plastic and Reconstructive Surgery, Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri
| | - Rachel Skladman
- Division of Plastic and Reconstructive Surgery, Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri
| | - Kaamya Varagur
- Division of Plastic and Reconstructive Surgery, Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri
| | - Elijah Tenenbaum
- Division of Plastic and Reconstructive Surgery, Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri
| | - Jacob L Sacks
- Division of Plastic and Reconstructive Surgery, Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri
| | - Cameron Martin
- Division of Plastic and Reconstructive Surgery, Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri
| | - Terry Gordon
- Division of Plastic and Reconstructive Surgery, Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri
| | - John Murphy
- Division of Plastic and Reconstructive Surgery, Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri
| | - William R Moritz
- Division of Plastic and Reconstructive Surgery, Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri
| | - Justin M Sacks
- Division of Plastic and Reconstructive Surgery, Department of Surgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri
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Elkin R, Duff JP, LaForest ML, Stapleton S, Ramachandra G, Palaganas JC, Gross IT. Distance simulation in the health professions: a scoping review. Adv Simul (Lond) 2023; 8:27. [PMID: 37978416 PMCID: PMC10656877 DOI: 10.1186/s41077-023-00266-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 10/13/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND Distance simulation is defined as simulation experiences in which participants and/or facilitators are separated from each other by geographic distance and/or time. The use of distance simulation as an education technique expanded rapidly with the recent COVID-19 pandemic, with a concomitant increase in scholarly work. METHODS A scoping review was performed to review and characterize the distance simulation literature. With the assistance of an informationist, the literature was systematically searched. Each abstract was reviewed by two researchers and disagreements were addressed by consensus. Risk of bias of the included studies was evaluated using the Risk of Bias 2 (RoB 2) and Risk of Bias in Non-randomized Studies of Interventions (ROBINS-I) tools. RESULTS Six thousand nine hundred sixty-nine abstracts were screened, ultimately leading to 124 papers in the final dataset for extraction. A variety of simulation modalities, contexts, and distance simulation technologies were identified, with activities covering a range of content areas. Only 72 papers presented outcomes and sufficient detail to be analyzed for risk of bias. Most studies had moderate to high risk of bias, most commonly related to confounding factors, intervention classification, or measurement of outcomes. CONCLUSIONS Most of the papers reviewed during the more than 20-year time period captured in this study presented early work or low-level outcomes. More standardization around reporting is needed to facilitate a clear and shared understanding of future distance simulation research. As the broader simulation community gains more experience with distance simulation, more studies are needed to inform when and how it should be used.
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Affiliation(s)
- Rachel Elkin
- Division of Pediatric Emergency Medicine, Department of Emergency Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
| | - Jonathan P Duff
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, University of Alberta, Edmonton, Canada
| | - Marian L LaForest
- Augustus Long Health Sciences Library, Columbia University Irving Medical Center, New York, NY, USA
| | | | - Geethanjali Ramachandra
- Department of Pediatric Intensive Care, Krishna Institute of Medical Science, Secunderabad, India
| | - Janice C Palaganas
- Department of Health Professions Education, MGH Institute of Health Professions, Boston, MA, USA
| | - Isabel T Gross
- Section of Pediatric Emergency Medicine, Department of Pediatrics, Yale University School of Medicine, New Haven, CT, USA
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3
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Arnold J, Vijayakumar N, Levy P. Advanced imaging and modeling in neonatal simulation. Semin Perinatol 2023; 47:151825. [PMID: 37940437 DOI: 10.1016/j.semperi.2023.151825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2023]
Abstract
Advances in modeling and imaging have resulted in realistic tools that can be applied to education and training, and even direct patient care. These include point-of-care ultrasound (POCUS), 3-dimensional and digital anatomic modeling, and extended reality. These technologies have been used for the preparation of complex patient care through simulation-based clinical rehearsals, direct patient care such as the creation of patient devices and implants, and for simulation-based education and training for health professionals, patients and families. In this section, we discuss these emerging technologies and describe how they can be utilized to improve patient care.
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4
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Kreiser K, Sollmann N, Renz M. Importance and potential of simulation training in interventional radiology. ROFO-FORTSCHR RONTG 2023; 195:883-889. [PMID: 37137320 DOI: 10.1055/a-2066-8009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
BACKGROUND Simulation training is a common method in many medical disciplines and is used to teach content knowledge, manual skills, and team skills without potential patient danger. METHODS Simulation models and methods in interventional radiology are explained. Strengths and weaknesses of both simulators for non-vascular and vascular radiological interventions are highlighted and necessary future developments are addressed. RESULTS Both custom-made and commercially available phantoms are available for non-vascular interventions. Interventions are performed under ultrasound guidance, with computed tomography assistance, or using mixed-reality methods. The wear and tear of physical phantoms can be countered with in-house production of 3D-printed models. Vascular interventions can be trained on silicone models or hightech simulators. Increasingly, patient-specific anatomies are replicated and simulated pre-intervention. The level of evidence of all procedures is low. CONCLUSION Numerous simulation methods are available in interventional radiology. Training on silicone models and hightech simulators for vascular interventions has the potential to reduce procedural time. This is associated with reduced radiation dose for both patient and physician, which can also contribute to improved patient outcome, at least in endovascular stroke treatment. Although a higher level of evidence should be achieved, simulation training should already be integrated into the guidelines of the professional societies and accordingly into the curricula of the radiology departments. KEY POINTS · There are numerous simulation methods for nonvascular and vascular radiologic interventions.. · Puncture models can be purchased commercially or made using 3D printing.. · Silicone models and hightech simulators allow patient-specific training.. · Simulation training reduces intervention time, benefiting both the patient and the physician.. · A higher level of evidence is possible via proof of reduced procedural times.. CITATION FORMAT · Kreiser K, Sollmann N, Renz M. Importance and potential of simulation training in interventional radiology. Fortschr Röntgenstr 2023; 195: 883 - 889.
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Affiliation(s)
- Kornelia Kreiser
- RKU, Department of Neuroradiology, University Hospital Ulm, Germany
| | - Nico Sollmann
- Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Germany
| | - Martin Renz
- Departement of Diagnostic and Interventional Neuroradiology, Technical University of Munich Hospital Rechts der Isar, Munchen, Germany
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Modarai B, Haulon S, Ainsbury E, Böckler D, Vano-Carruana E, Dawson J, Farber M, Van Herzeele I, Hertault A, van Herwaarden J, Patel A, Wanhainen A, Weiss S, Esvs Guidelines Committee, Bastos Gonçalves F, Björck M, Chakfé N, de Borst GJ, Coscas R, Dias NV, Dick F, Hinchliffe RJ, Kakkos SK, Koncar IB, Kolh P, Lindholt JS, Trimarchi S, Tulamo R, Twine CP, Vermassen F, Document Reviewers, Bacher K, Brountzos E, Fanelli F, Fidalgo Domingos LA, Gargiulo M, Mani K, Mastracci TM, Maurel B, Morgan RA, Schneider P. Editor's Choice - European Society for Vascular Surgery (ESVS) 2023 Clinical Practice Guidelines on Radiation Safety. Eur J Vasc Endovasc Surg 2023; 65:171-222. [PMID: 36130680 DOI: 10.1016/j.ejvs.2022.09.005] [Citation(s) in RCA: 41] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 09/15/2022] [Indexed: 01/24/2023]
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Su P, Zhu Z, He J, He R, Feng H, Du P, Lönn L, Konge L, Yin F. Focus on Radiation Protection Improves Both Correct Behavior and Procedural Performance During Simulation-Based Training - A Randomized Comparison. Ann Vasc Surg 2023; 89:302-311. [PMID: 36334895 DOI: 10.1016/j.avsg.2022.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 10/04/2022] [Accepted: 10/05/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND To explore whether simulation-based endovascular training with focus on radiation safety could improve correct behavior without jeopardizing the learning of procedural skills. METHODS Twenty-four residents without previous endovascular experience completed 10 clinical scenarios on a virtual-reality endovascular simulator with software for peripheral endovascular interventions. Participants were randomized to receive feedback (n = 12) or not (n = 12) on radiation protection (RP) performance after each case. Expert assessments were done at the first, second, fourth, seventh, and 10th case on RP and endovascular skills (ES). Automatic simulator metrics on procedure time, contrast dose, handling errors, and estimated radiation exposure to patient and operator were registered. Outcome metrics were analyzed by two-way mixed analysis of variance pairwise comparisons with independent t-tests. Correlations were explored using Pearson's r for internal consistency reliability. RESULTS The RP performance was similar in both groups at their first attempt (P = 0.61), but the feedback group significantly outperformed the control group over time (P < 0.001 for all comparisons). The feedback group was however slower to learn the ES at start (P = 0.047 at second performance), but after 7 attempts no difference was shown (P = 0.59). The feedback group used more time (19.5 vs. 15.3 min; P = 0.007) but less contrast (60 vs. 100 mL; P < 0.001). The number of errors was the same in both groups, but all metrics regarding radiation exposure favored the feedback group (P-values from 0.001 to 0.008). CONCLUSIONS Simulation-based training (SBT) is effective to acquire basic endovascular intervention skills and concurrently learn RP behavior when feedback on radiation culture is provided.
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Affiliation(s)
- Peizhu Su
- Department of Gastroenterology, The First People's Hospital of Foshan, Foshan, Guangdong, China; Guangdong Academy for Medical Simulation (GAMS), Guangzhou, China
| | - Zhengrong Zhu
- Department of Vascular and Thyroid Surgery, The First People's Hospital of Foshan, Foshan, Guangdong, China
| | - Jiawei He
- Department of Radiology, The First People's Hospital of Foshan, Foshan, Guangdong, China
| | - Rong He
- Department of Radiology, The First People's Hospital of Foshan, Foshan, Guangdong, China
| | - Huahai Feng
- Department of Neurology, The First People's Hospital of Foshan, Foshan, Guangdong, China
| | - Pu Du
- Department of Neurology, The First People's Hospital of Foshan, Foshan, Guangdong, China
| | - Lars Lönn
- Department of Radiology, Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lars Konge
- Guangdong Academy for Medical Simulation (GAMS), Guangzhou, China; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Copenhagen Academy for Medical Education and Simulation (CAMES), Copenhagen, Denmark.
| | - Fang Yin
- Department of Post-graduate Education, The First People's Hospital of Foshan, Foshan, Guangdong, China
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Floridi C, Cellina M, Irmici G, Bruno A, Rossini N, Borgheresi A, Agostini A, Bruno F, Arrigoni F, Arrichiello A, Candelari R, Barile A, Carrafiello G, Giovagnoni A. Precision Imaging Guidance in the Era of Precision Oncology: An Update of Imaging Tools for Interventional Procedures. J Clin Med 2022; 11:4028. [PMID: 35887791 PMCID: PMC9322069 DOI: 10.3390/jcm11144028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 07/02/2022] [Accepted: 07/08/2022] [Indexed: 02/05/2023] Open
Abstract
Interventional oncology (IO) procedures have become extremely popular in interventional radiology (IR) and play an essential role in the diagnosis, treatment, and supportive care of oncologic patients through new and safe procedures. IR procedures can be divided into two main groups: vascular and non-vascular. Vascular approaches are mainly based on embolization and concomitant injection of chemotherapeutics directly into the tumor-feeding vessels. Percutaneous approaches are a type of non-vascular procedures and include percutaneous image-guided biopsies and different ablation techniques with radiofrequency, microwaves, cryoablation, and focused ultrasound. The use of these techniques requires precise imaging pretreatment planning and guidance that can be provided through different imaging techniques: ultrasound, computed tomography, cone-beam computed tomography, and magnetic resonance. These imaging modalities can be used alone or in combination, thanks to fusion imaging, to further improve the confidence of the operators and the efficacy and safety of the procedures. This article aims is to provide an overview of the available IO procedures based on clinical imaging guidance to develop a targeted and optimal approach to cancer patients.
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Affiliation(s)
- Chiara Floridi
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (A.B.); (N.R.); (A.A.); (A.G.)
- Division of Special and Pediatric Radiology, Department of Radiology, University Hospital “Umberto I—Lancisi—Salesi”, 60126 Ancona, Italy;
- Division of Interventional Radiology, Department of Radiological Sciences, University Politecnica Delle Marche, 60126 Ancona, Italy;
| | - Michaela Cellina
- Radiology Department, Fatebenefratelli Hospital, ASST Fatebenefratelli Sacco, 20122 Milan, Italy;
| | - Giovanni Irmici
- Post-Graduation School in Radiodiagnostics, Università degli Studi di Milano, 20122 Milan, Italy; (G.I.); (A.A.)
| | - Alessandra Bruno
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (A.B.); (N.R.); (A.A.); (A.G.)
| | - Nicolo’ Rossini
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (A.B.); (N.R.); (A.A.); (A.G.)
| | - Alessandra Borgheresi
- Division of Special and Pediatric Radiology, Department of Radiology, University Hospital “Umberto I—Lancisi—Salesi”, 60126 Ancona, Italy;
| | - Andrea Agostini
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (A.B.); (N.R.); (A.A.); (A.G.)
| | - Federico Bruno
- Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (F.B.); (A.B.)
| | - Francesco Arrigoni
- Emergency and Interventional Radiology, San Salvatore Hospital, 67100 L’Aquila, Italy;
| | - Antonio Arrichiello
- Post-Graduation School in Radiodiagnostics, Università degli Studi di Milano, 20122 Milan, Italy; (G.I.); (A.A.)
| | - Roberto Candelari
- Division of Interventional Radiology, Department of Radiological Sciences, University Politecnica Delle Marche, 60126 Ancona, Italy;
| | - Antonio Barile
- Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy; (F.B.); (A.B.)
| | - Gianpaolo Carrafiello
- Operative Unit of Radiology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico di Milano, 20122 Milan, Italy;
- Department of Health Sciences, Università degli Studi di Milano, 20122 Milan, Italy
| | - Andrea Giovagnoni
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (A.B.); (N.R.); (A.A.); (A.G.)
- Division of Special and Pediatric Radiology, Department of Radiology, University Hospital “Umberto I—Lancisi—Salesi”, 60126 Ancona, Italy;
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Melnyk R, Oppenheimer D, Ghazi AE. How specific are patient-specific simulations? Analyzing the accuracy of 3D-printing and modeling to create patient-specific rehearsals for complex urological procedures. World J Urol 2022; 40:621-626. [PMID: 34390371 PMCID: PMC9808900 DOI: 10.1007/s00345-021-03797-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 07/30/2021] [Indexed: 01/05/2023] Open
Abstract
PURPOSE In the field of urology, 3D printing and modeling are now regularly utilized to enhance pre-operative planning, surgical training, patient-specific rehearsals (PSR), and patient education and counseling. Widespread accessibility and affordability of such technologies necessitates development of quality control measures to confirm the anatomical accuracy of these tools. Herein, we present three methods utilized to evaluate the anatomical accuracy of hydrogel PSR, developed using 3D printing and molding for pre-operative surgical rehearsals, of robotic-assisted partial nephrectomy (RAPN) and percutaneous nephrolithotomy (PCNL). METHODS Virtual computer-aided designs (CADs) of patient anatomy were created through segmentation of patient CT scan images. Ten patient-specific RAPN and PCNL hydrogel models were CT scanned and segmented to create a corresponding model CAD. The part compare tool (3-matic, Materialize), point-to-point measurements, and Dice similarity coefficient (DSC) analyzed surface geometry, alignment, and volumetric overlap of each model component. RESULTS Geometries of the RAPN parenchyma, tumor, artery, vein, and pelvicalyceal system lay within an average deviation of 2.5 mm (DSC = 0.70) of the original patient geometry and 5 mm (DSC = 0.45) of the original patient alignment. Similarly, geometries of the PCNL pelvicalyceal system and stone lay within 2.5 mm (DSC = 0.6) and within 15 mm (16% deviation) in alignment. This process enabled the refinement of our modeling process to fabricate anatomically accurate RAPN and PCNL PSR. CONCLUSION As 3D printing and modeling continues to have a greater impact on patient care, confirming anatomical accuracy should be introduced as a quality control measure prior to use for patient care.
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Affiliation(s)
- Rachel Melnyk
- Simulation Innovation Lab, University of Rochester Medical Center (URMC), 601 Elmwood Ave, Rochester, NY, USA
| | | | - Ahmed E Ghazi
- Simulation Innovation Lab, University of Rochester Medical Center (URMC), 601 Elmwood Ave, Rochester, NY, USA.
- Department of Urology, URMC, Rochester, NY, USA.
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9
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Azkue JJ. True‐color
3D
rendering of human anatomy using surface‐guided color sampling from cadaver cryosection image data: A practical approach. J Anat 2022; 241:552-564. [PMID: 35224742 PMCID: PMC9296043 DOI: 10.1111/joa.13647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 01/18/2022] [Accepted: 02/16/2022] [Indexed: 11/29/2022] Open
Affiliation(s)
- Jon Jatsu Azkue
- Department of Neurosciences, School of Medicine and Nursery University of the Basque Country, UPV/EHU Leioa Spain
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The effects of a virtual simulation-based, mobile technology application on nursing students' learning achievement and cognitive load: Randomized controlled trial. Int J Nurs Stud 2021; 120:103948. [PMID: 34051588 DOI: 10.1016/j.ijnurstu.2021.103948] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 03/09/2021] [Accepted: 04/14/2021] [Indexed: 11/21/2022]
Abstract
BACKGROUND The use of virtual simulation methods in nursing education offers potential advantages for students to experience and learn in a safe and realistic environment by acquiring skills and attitudes to prepare for clinical experiences. OBJECTIVE The study's aim was to test the hypothesis that nursing students who used a mobile learning app would have significantly (1) higher levels of knowledge about medication administration and nasotracheal suctioning, (2) better development of skill performances on medication administration and nasotracheal suctioning, (3) higher satisfaction, and (4) lower cognitive load than a control group. DESIGN A randomized experimental study with pretest and posttest design. SETTINGS AND PARTICIPANTS One hundred nursing students were randomly assigned to an experimental or control group at a Southern Taiwan university's school of nursing. METHODS The experimental group received the virtual simulation-based mobile learning app and the control group used traditional paper materials. Participants were assessed on knowledge before and after the intervention. Skill performance and intrinsic and extraneous cognitive load were measured after the intervention. RESULTS The experimental group who used the mobile app had significantly higher knowledge scores, significantly lower intrinsic and extraneous cognitive load, better skill performance, and higher satisfaction than the control group. CONCLUSIONS The implementation of a mobile app for simulation learning had a positive impact on nursing students' knowledge and skill performances as well as the reduction of learning cognitive loading. Nurse educators and researchers should collaborate in developing virtual learning resources to support clinical nursing education. Tweetable abstract: The mobile app for learning achieved higher knowledge and satisfaction scores, demonstrated better skill performance without increasing cognitive load.
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Hansen KL, Carlsen JF. New Trends in Vascular Imaging. Diagnostics (Basel) 2021; 11:diagnostics11010112. [PMID: 33445602 PMCID: PMC7827585 DOI: 10.3390/diagnostics11010112] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 01/09/2021] [Accepted: 01/11/2021] [Indexed: 11/16/2022] Open
Affiliation(s)
- Kristoffer Lindskov Hansen
- Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark;
- Department of Clinical Medicine, University of Copenhagen, 2100 Copenhagen, Denmark
- Correspondence:
| | - Jonathan Frederik Carlsen
- Department of Diagnostic Radiology, Copenhagen University Hospital, Rigshospitalet, 2100 Copenhagen, Denmark;
- Department of Clinical Medicine, University of Copenhagen, 2100 Copenhagen, Denmark
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