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1.
Medicine (Baltimore) ; 100(50): e27844, 2021 Dec 17.
Article in English | MEDLINE | ID: covidwho-1583963

ABSTRACT

INTRODUCTION: Due to the current COVID-19 pandemic, surgical training has become increasingly challenging due to required social distancing. Therefore, the use of virtual reality (VR)-simulation could be a helpful tool for imparting surgical skills, especially in minimally invasive environments. Visual spatial ability (VSA) might influence the learning curve for laparoscopic surgical skills. However, little is known about the influence of VSA for surgical novices on VR-simulator training regarding the complexity of different tasks over a long-term training period. Our study evaluated prior VSA and VSA development in surgical trainees during VR-simulator training, and its influence on surgical performance in simulator training. METHODS: In our single-center prospective two-arm randomized trial, VSA was measured with a tube figure test before curriculum training. After 1:1 randomization, the training group (TG) participated in the entire curriculum training consisting of 48 different VR-simulator tasks with varying difficulty over a continuous nine-day training session. The control group (CG) performed two of these tasks on day 1 and 9. Correlation and regression analyses were used to assess the influence of VSA on VR-related surgical skills and to measure procedural abilities. RESULTS: Sixty students (33 women) were included. Significant improvements in the TG in surgical performance and faster completion times were observed from days 1 to 9 for the scope orientation 30° right-handed (SOR), and cholecystectomy dissection tasks after the structured 9-day training program. After training, the TG with pre-existing low VSA scores achieved performance levels similar to those with pre-existing high VSA scores for the two VR simulator tasks. Significant correlations between VSA and surgical performance on complex laparoscopic camera navigation SOR tasks were found before training. CONCLUSIONS: Our study revealed that that all trainees improved their surgical skills irrespective of previous VSA during structured VR simulator training. An increase in VSA resulted in improvements in surgical performance and training progress, which was more distinct in complex simulator tasks. Further, we demonstrated a positive relationship between VSA and surgical performance of the TG, especially at the beginning of training. Our results identified pre-existing levels of VSA as a predictor of surgical performance.


Subject(s)
Clinical Competence , Laparoscopy , Simulation Training , Spatial Navigation , Virtual Reality , COVID-19 , Female , Humans , Laparoscopy/education , Pandemics , Prospective Studies , User-Computer Interface
2.
Med Educ Online ; 26(1): 1911019, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1574085

ABSTRACT

During the height of the COVID-19 pandemic, telemedicine visits surged to increase access and maintain continuity of care, while reducing transmission of disease. However, few curricula exist for training residents on how to care for patients via telemedicine, especially in pediatrics. We aimed to create and evaluate an interactive, competency-based pilot curriculum, to meet the urgent need to train residents in telemedicine. The curriculum was developed in 2020 and includes a didactic, cased-based discussions, and direct observation exercise. A model for precepting residents, adhering to new ACGME guidelines, was also created to further engage residents in telemedicine in the outpatient general pediatrics settings. To evaluate the curriculum, we assessed feasibility of a direct observation to provide feedback and we conducted pre and post surveys to assess for changes in residents' self-reported skills in performing telemedicine visits following implementation of the curriculum. 16 residents participated in the curriculum and 15 completed both the pre and post surveys (93%). Residents' self-reported efficacy in performing key components of telemedicine visits, including completion of telemedicine visit (p = 0.023), initiation of visits (p = 0.01), and documentation (p = 0.001) all improved significantly following implementation. Residents' perception of patient satisfaction with telemedicine and personal perception of ease of use of the telemedicine system increased, though neither were statistically significant. Uptake of the direct observation exercise was nearly universal, with all but one resident having a direct observation completed during their ambulatory month. This novel, interactive telemedicine pilot curriculum for residents addresses ACGME competencies and provides residents with a toolkit for engaging in telemedicine.


Subject(s)
Curriculum , Pediatrics , Telemedicine , COVID-19 , Child , Female , Humans , Internship and Residency , Pandemics , Pilot Projects , SARS-CoV-2 , Surveys and Questionnaires , User-Computer Interface
3.
Comput Math Methods Med ; 2021: 1546343, 2021.
Article in English | MEDLINE | ID: covidwho-1574507

ABSTRACT

As the COVID-19 pandemic continues, the need for a better health care facility is highlighted more than ever. Besides physical health, mental health conditions have become a significant concern. Unfortunately, there are few opportunities for people to receive mental health care. There are inadequate facilities for seeking mental health support even in big cities, let alone remote areas. This paper presents the structure and implementation procedures for a mental health support system combining technology and professionals. The system is a web platform where mental health seekers can register and use functionalities like NLP-based chatbot for personality assessment, chatting with like-minded people, and one-to-one video conferencing with a mental health professional. The video calling feature of the system has emotion detection capabilities using computer vision. The system also includes downloadable prescription facilities and a payment gateway for secure transactions. From a technological aspect, the conversational NLP-based chatbot and computer vision-powered video calling are the system's most important features. The system has a documentation facility to analyze the mental health condition over time. The web platform is built using React.js for the frontend and Express.js for the backend. MongoDB is used as the database of the platform. The NLP chatbot is built on a three-layered deep neural network model that is programmed in the Python language and uses the NLTK, TensorFlow, and Keras sequential API. Video conference is one of the most important features of the platform. To create the video calling feature, Express.js, Socket.io, and Socket.io-client have been used. The emotion detection feature is implemented on video conferences using computer vision, Haar Cascade, and TensorFlow. All the implemented features are tested and work fine. The targeted users for the platform are teenagers, youth, and the middle-aged population. Mental health-seeking is still considered taboo in some societies today. Apart from basic established facilities, this social dilemma of undergoing treatment for mental health is causing severe damage to individuals. A solution to this problem can be a remote platform for mental health support. With this goal in mind, this system is designed to provide mental health support to people remotely from anywhere worldwide.


Subject(s)
Mental Health , Software , Telemedicine , Humans , Internet , Natural Language Processing , User-Computer Interface , Videoconferencing
4.
Am J Clin Pathol ; 156(5): 839-845, 2021 10 13.
Article in English | MEDLINE | ID: covidwho-1510887

ABSTRACT

OBJECTIVES: The goal is to describe the use of a virtual platform in the delivery of Virtual Pathology Grand Rounds (VPGR) and discuss the overall experience from the perspective of hosts, speakers, and participants. METHODS: Zoom was a natural choice for an online format because virtual platforms had been increasingly used to conduct meetings and medical education. VPGR hosted 14 speakers on a variety of topics, including subspecialty anatomic pathology material, digital pathology, molecular pathology, and medical education. RESULTS: There were 221 registrants and 114 participants for the first lecture, reaching a maximum of 1,268 registrants for the 12th lecture and the maximum limit of 300 participants during 3 lectures. Speakers stated that VPGR conveniently provided career-building opportunities through partnerships with host universities and remote attendance. Participants identified a lack of interpersonal communication and technical challenges as downsides. CONCLUSIONS: VPGR serves as strong proof of concept for the feasibility and demand for high-quality, remote academic pathology talks.


Subject(s)
Pathology , Teaching Rounds , Videoconferencing , COVID-19 , Humans , SARS-CoV-2 , User-Computer Interface
8.
Int J Nurs Educ Scholarsh ; 18(1)2021 Sep 10.
Article in English | MEDLINE | ID: covidwho-1403335

ABSTRACT

OBJECTIVES: There is limited knowledge about students' experiences with virtual simulation when using a video conferencing system. Therefore, the aim of this study was to explore how second-year undergraduate nursing students experienced learning through virtual simulations during the COVID-19 pandemic. METHODS: The study had an exploratory design with both quantitative and qualitative approaches. In total, 69 nursing students participated in two sessions of virtual simulation during spring 2020, and 33 students answered online questionnaires at session 1. To further explore students' experiences, one focus group interview and one individual interview were conducted using a video conferencing system after session 2. In addition, system information on use during both sessions was collected. RESULTS: Changes in the students' ratings of their experiences of virtual simulation with the Body Interact™ system were statistically significant. The virtual simulation helped them to bridge gaps in both the teaching and learning processes. Four important aspects of learning were identified: 1) learning by self-training, 2) learning from the software (Body Interact™), 3) learning from peers, and 4) learning from faculty. CONCLUSIONS: We conclude that virtual simulation through a video conferencing system can be useful for student learning and feedback from both peers and faculty is important.


Subject(s)
Computer Simulation/statistics & numerical data , Computer-Assisted Instruction/methods , Education, Nursing, Baccalaureate/methods , Students, Nursing/statistics & numerical data , Videotape Recording/methods , COVID-19/epidemiology , Humans , User-Computer Interface
9.
PLoS One ; 16(9): e0257035, 2021.
Article in English | MEDLINE | ID: covidwho-1398938

ABSTRACT

In several nations, caries in pre-school children remain a significant oral health issue. In an outbreak period such as the Coronavirus disease 2019 (COVID-19), remote contact and education aimed at the prevention of oral diseases and the preservation of children's oral health are more relevant than ever. Currently, the amount of published applications is far higher than the published scientific studies while the problems of usability remains vulnerable. The goal of this paper was to comprehensively document the phase of development and usability testing of a mobile application for diet and oral health, namely Gigiku Sihat, which was primarily intended to be used by parents and guardians of pre-school children. The mobile application was developed using the System Development Life Cycle principle. Apart from searching for the available oral health application on Android platform, the initial requirement gathering process consisted of situational analysis, concept generation, content development, and features and functional requirement determination. The mobile application design and implementation evolved at each phase before being finalised. Gigiku Sihat was successfully developed in the Bahasa Malaysia. Finalised Gigiku Sihat was installed on mobile devices to determine the usability using translated and validated System Usability Scale questionnaire namely Skala Kebolehgunaan Aplikasi Mudah Alih (SKAMA). The mean score usability with score of 68 and above was deemed to have good usability. This study found that Gigiku Sihat mean (SD) usability score was 77.0 (14.18). The results were promising as they showed that Gigiku Sihat had a good usability. Thus, the development of this mobile application focusing on diet and oral health served as a new source of oral health education and provided a necessary foundation in developing future improved mobile application development for parents in the prevention of early childhood caries.


Subject(s)
Mobile Applications/statistics & numerical data , Oral Health/statistics & numerical data , Adult , COVID-19/epidemiology , Diet/statistics & numerical data , Female , Humans , Malaysia , SARS-CoV-2/pathogenicity , Surveys and Questionnaires/statistics & numerical data , User-Centered Design , User-Computer Interface
11.
Yearb Med Inform ; 30(1): 100-104, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1392949

ABSTRACT

OBJECTIVE: To select the best papers that made original and high impact contributions in the area of human factors and organizational issues in biomedical informatics in 2020. METHODS: A rigorous extraction process based on queries from Web of Science® and PubMed/Medline was conducted to identify the scientific contributions published in 2020 that address human factors and organizational issues in biomedical informatics. The screening of papers on titles and abstracts independently by the two section editors led to a total of 1,562 papers. These papers were discussed for a selection of 12 finalist papers, which were then reviewed by the two section editors, two chief editors, and by three external reviewers from internationally renowned research teams. RESULTS: The query process resulted in 12 papers that reveal interesting and rigorous methods and important studies in human factors that move the field forward, particularly in clinical informatics and emerging technologies such as brain-computer interfaces. This year three papers were clearly outstanding and help advance in the field. They provide examples of applying existing frameworks together in novel and highly illuminating ways, showing the value of theory development in human factors. Emerging themes included several which discussed physician burnout, mobile health, and health equity. Those concerning the Corona Virus Disease 2019 (Covid-19) were included as part of that section. CONCLUSION: The selected papers make important contributions to human factors and organizational issues, expanding and deepening our knowledge of how to apply theory and applications of new technologies in health.


Subject(s)
Electronic Health Records , Health Equity , Medical Informatics/organization & administration , User-Computer Interface , Burnout, Professional , Humans
13.
Database (Oxford) ; 20212021 03 31.
Article in English | MEDLINE | ID: covidwho-1387844

ABSTRACT

Understanding the underlying molecular and structural similarities between seemingly heterogeneous sets of drugs can aid in identifying drug repurposing opportunities and assist in the discovery of novel properties of preclinical small molecules. A wealth of information about drug and small molecule structure, targets, indications and side effects; induced gene expression signatures; and other attributes are publicly available through web-based tools, databases and repositories. By processing, abstracting and aggregating information from these resources into drug set libraries, knowledge about novel properties of drugs and small molecules can be systematically imputed with machine learning. In addition, drug set libraries can be used as the underlying database for drug set enrichment analysis. Here, we present Drugmonizome, a database with a search engine for querying annotated sets of drugs and small molecules for performing drug set enrichment analysis. Utilizing the data within Drugmonizome, we also developed Drugmonizome-ML. Drugmonizome-ML enables users to construct customized machine learning pipelines using the drug set libraries from Drugmonizome. To demonstrate the utility of Drugmonizome, drug sets from 12 independent SARS-CoV-2 in vitro screens were subjected to consensus enrichment analysis. Despite the low overlap among these 12 independent in vitro screens, we identified common biological processes critical for blocking viral replication. To demonstrate Drugmonizome-ML, we constructed a machine learning pipeline to predict whether approved and preclinical drugs may induce peripheral neuropathy as a potential side effect. Overall, the Drugmonizome and Drugmonizome-ML resources provide rich and diverse knowledge about drugs and small molecules for direct systems pharmacology applications. Database URL: https://maayanlab.cloud/drugmonizome/.


Subject(s)
COVID-19/drug therapy , Databases, Pharmaceutical , SARS-CoV-2/drug effects , Antiviral Agents/chemistry , Antiviral Agents/pharmacology , COVID-19/virology , Drug Discovery , Drug Evaluation, Preclinical , Drug Repositioning , Drug-Related Side Effects and Adverse Reactions , Humans , In Vitro Techniques , Machine Learning , Peripheral Nervous System Diseases/chemically induced , SARS-CoV-2/physiology , Small Molecule Libraries , User-Computer Interface , Virus Replication/drug effects
14.
15.
Molecules ; 25(19)2020 Oct 06.
Article in English | MEDLINE | ID: covidwho-1389458

ABSTRACT

A novel series of some hydrazones bearing thiazole moiety were generated via solvent-drop grinding of thiazole carbohydrazide 2 with various carbonyl compounds. Also, dehydrative-cyclocondensation of 2 with active methylene compounds or anhydrides gave the respective pyarzole or pyrazine derivatives. The structures of the newly synthesized compounds were established based on spectroscopic evidences and their alternative syntheses. Additionally, the anti-viral activity of all the products was tested against SARS-CoV-2 main protease (Mpro) using molecular docking combined with molecular dynamics simulation (MDS). The average binding affinities of the compounds 3a, 3b, and 3c (-8.1 ± 0.33 kcal/mol, -8.0 ± 0.35 kcal/mol, and -8.2 ± 0.21 kcal/mol, respectively) are better than that of the positive control Nelfinavir (-6.9 ± 0.51 kcal/mol). This shows the possibility of these three compounds to effectively bind to SARS-CoV-2 Mpro and hence, contradict the virus lifecycle.


Subject(s)
Antiviral Agents/chemical synthesis , Betacoronavirus/enzymology , Hydrazones/chemical synthesis , Protease Inhibitors/chemical synthesis , Pyrazines/chemical synthesis , Pyrazoles/chemical synthesis , Viral Nonstructural Proteins/antagonists & inhibitors , Antiviral Agents/pharmacology , Betacoronavirus/chemistry , Betacoronavirus/drug effects , Binding Sites , COVID-19 , Coronavirus 3C Proteases , Coronavirus Infections/drug therapy , Cysteine Endopeptidases/chemistry , Cysteine Endopeptidases/metabolism , Drug Discovery , Humans , Hydrazones/pharmacology , Molecular Docking Simulation , Molecular Dynamics Simulation , Pandemics , Pneumonia, Viral/drug therapy , Protease Inhibitors/pharmacology , Protein Binding , Protein Conformation, alpha-Helical , Protein Conformation, beta-Strand , Protein Interaction Domains and Motifs , Pyrazines/pharmacology , Pyrazoles/pharmacology , SARS-CoV-2 , Thermodynamics , User-Computer Interface , Viral Nonstructural Proteins/chemistry , Viral Nonstructural Proteins/metabolism
16.
Molecules ; 26(16)2021 Aug 17.
Article in English | MEDLINE | ID: covidwho-1359731

ABSTRACT

Middle East respiratory syndrome coronavirus (MERS-CoV) is a highly infectious zoonotic virus first reported into the human population in September 2012 on the Arabian Peninsula. The virus causes severe and often lethal respiratory illness in humans with an unusually high fatality rate. The N-terminal domain (NTD) of receptor-binding S1 subunit of coronavirus spike (S) proteins can recognize a variety of host protein and mediates entry into human host cells. Blocking the entry by targeting the S1-NTD of the virus can facilitate the development of effective antiviral drug candidates against the pathogen. Therefore, the study has been designed to identify effective antiviral drug candidates against the MERS-CoV by targeting S1-NTD. Initially, a structure-based pharmacophore model (SBPM) to the active site (AS) cavity of the S1-NTD has been generated, followed by pharmacophore-based virtual screening of 11,295 natural compounds. Hits generated through the pharmacophore-based virtual screening have re-ranked by molecular docking and further evaluated through the ADMET properties. The compounds with the best ADME and toxicity properties have been retrieved, and a quantum mechanical (QM) based density-functional theory (DFT) has been performed to optimize the geometry of the selected compounds. Three optimized natural compounds, namely Taiwanhomoflavone B (Amb23604132), 2,3-Dihydrohinokiflavone (Amb23604659), and Sophoricoside (Amb1153724), have exhibited substantial docking energy >-9.00 kcal/mol, where analysis of frontier molecular orbital (FMO) theory found the low chemical reactivity correspondence to the bioactivity of the compounds. Molecular dynamics (MD) simulation confirmed the stability of the selected natural compound to the binding site of the protein. Additionally, molecular mechanics generalized born surface area (MM/GBSA) predicted the good value of binding free energies (ΔG bind) of the compounds to the desired protein. Convincingly, all the results support the potentiality of the selected compounds as natural antiviral candidates against the MERS-CoV S1-NTD.


Subject(s)
Antiviral Agents/pharmacology , Biological Products/pharmacology , Middle East Respiratory Syndrome Coronavirus/drug effects , Quantum Theory , Antiviral Agents/metabolism , Biological Products/metabolism , Catalytic Domain , Drug Evaluation, Preclinical , Middle East Respiratory Syndrome Coronavirus/metabolism , Molecular Docking Simulation , Molecular Dynamics Simulation , Spike Glycoprotein, Coronavirus/chemistry , Spike Glycoprotein, Coronavirus/metabolism , User-Computer Interface
17.
Clin Teach ; 18(4): 341-347, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1349992
18.
IEEE/ACM Trans Comput Biol Bioinform ; 18(4): 1262-1270, 2021.
Article in English | MEDLINE | ID: covidwho-1349900

ABSTRACT

SARS-CoV-2 encodes the Mac1 domain within the large nonstructural protein 3 (Nsp3), which has an ADP-ribosylhydrolase activity conserved in other coronaviruses. The enzymatic activity of Mac1 makes it an essential virulence factor for the pathogenicity of coronavirus (CoV). They have a regulatory role in counteracting host-mediated antiviral ADP-ribosylation, which is unique part of host response towards viral infections. Mac1 shows highly conserved residues in the binding pocket for the mono and poly ADP-ribose. Therefore, SARS-CoV-2 Mac1 enzyme is considered as an ideal drug target and inhibitors developed against them can possess a broad antiviral activity against CoV. ADP-ribose-1 phosphate bound closed form of Mac1 domain is considered for screening with large database of ZINC. XP docking and QPLD provides strong potential lead compounds, that perfectly fits inside the binding pocket. Quantum mechanical studies expose that, substrate and leads have similar electron donor ability in the head regions, that allocates tight binding inside the substrate-binding pocket. Molecular dynamics study confirms the substrate and new lead molecules presence of electron donor and acceptor makes the interactions tight inside the binding pocket. Overall binding phenomenon shows both substrate and lead molecules are well-adopt to bind with similar binding mode inside the closed form of Mac1.


Subject(s)
COVID-19/drug therapy , COVID-19/virology , Coronavirus Papain-Like Proteases/antagonists & inhibitors , Coronavirus Papain-Like Proteases/chemistry , SARS-CoV-2/drug effects , Adenosine Diphosphate Ribose/metabolism , Amino Acid Sequence , Antiviral Agents/pharmacology , Computational Biology , Coronavirus Papain-Like Proteases/genetics , High-Throughput Screening Assays/methods , High-Throughput Screening Assays/statistics & numerical data , Humans , Models, Molecular , Molecular Docking Simulation , Molecular Dynamics Simulation , Protein Domains , Quantum Theory , SARS-CoV-2/genetics , SARS-CoV-2/physiology , User-Computer Interface
19.
Cyberpsychol Behav Soc Netw ; 24(8): 501-502, 2021 08.
Article in English | MEDLINE | ID: covidwho-1349763
20.
Sensors (Basel) ; 21(15)2021 Jul 30.
Article in English | MEDLINE | ID: covidwho-1346527

ABSTRACT

This is the latest article in a series of research on the family-centered design concept. The theoretical context was revisited and expounded to support its usefulness in conjunction with a user-centered design approach within distinct application domains. A very important contribution is applied through the development of the instruments-website capture, a public testing platform, results processing and the Web Content Accessibility Guide 2.1 recommendation tool-to conduct unmoderated remote testing of user interfaces that corresponds to the requirements of general digitalization efforts as well as the response to current and future health risks. With this set of instruments, an experiment was conducted to address the differences in usage, and performance-wise and user-based evaluation methods, of the eDavki public tax portal, among two generations, adults and elderly citizens, and between an original and an adapted user interface that respects accessibility and other recommendations. The differences found are further discussed and are congruent to particularities that have been modified within interfaces.


Subject(s)
User-Centered Design , User-Computer Interface , Adult , Aged , Humans
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