Effectiveness of an online program using telesimulation for academic-clinical collaboration in preparing nurse preceptors' roles.

AIM: To evaluate the effectiveness of an online program on nurse preceptors' knowledge and self-efficacy in their roles to support students' clinical education, and to examine their online experience. BACKGROUND: Professional development of nurse preceptors is paramount to fostering work readiness of future graduate nurses on entering the workforce. The support from academic institutions in developing preceptors' roles in clinical teaching and assessment is pivotal. DESIGN: This study employed a mixed-methods design. METHOD: A total of 59 nurse preceptors from six healthcare institutions participated in an online preceptor program by collaborating with academic educators in facilitating student clinical learning and assessment through telesimulation following web-based instruction. Pre-test and post-tests were administered to evaluate the preceptors' knowledge and self-efficacy in their roles. Survey questionnaires and focus group discussions were conducted to evaluate their online experience. SQUIRE 2.0 guidelines were applied. RESULTS: The preceptors demonstrated significant improvements (p < .001) in knowledge and levels of self-efficacy in their preceptor roles immediately and 1 month after the program. The following four themes emerged from their learning experiences: 'interactive learning approach', 'academic-practice collaboration', 'better understanding of clinical assessment tool' and 'application of teaching strategies'. The preceptors reported positively on their motivation to learn using the web-based instruction and on their telesimulation experience. CONCLUSION: The study findings demonstrated effectiveness and feasibility of an online preceptor program to enhance preceptors' roles in supporting nursing students' transition to clinical practice, using a mix of web-based technologies to provide preceptors with self-directed and experiential learning approaches. RELEVANCE TO CLINICAL PRACTICE: This study contributed to the development of an innovative online preceptor program that provided opportunity for academic-clinical collaboration and has broad applicability. The telesimulation created robust remote simulation experiences for preceptors, allowing them to collaborate with academic educators in facilitating students' clinical practice amid the COVID-19 pandemic.

Desktop Virtual Reality Versus Face-to-Face Simulation for Team-Training on Stress Levels and Performance in Clinical Deterioration: a Randomised Controlled Trial.

BACKGROUND: Simulation-based education can equip healthcare providers with the ability to respond to and manage stressors associated with rapidly deteriorating patient situations. However, little is known about the benefits of using virtual reality (VR) for this purpose. OBJECTIVE: To compare between desktop VR and face-to-face simulation in stress responses and performance outcomes of a team-based simulation training in managing clinical deterioration. DESIGN: A randomised controlled study METHOD: The study was conducted on 120 medical and nursing students working in interprofessional teams. The teams were randomly assigned to participate in a 2-h simulation using either the desktop VR or face-to-face simulation with simulated patient (SP). Biophysiological stress response, psychological stress, and confidence levels were measured before and after the simulation. Performance outcomes were evaluated after the simulation using a deteriorating patient scenario. RESULTS: The systolic blood pressure and psychological stress response were significantly increased among participants in VR and SP groups; however, no significant differences were found between the groups. There was also no significant difference in confidence and performance outcomes between participants in the VR and SP groups for both medical and  nursing students. Although the psychological stress response was negatively correlated (r = -0.43; p < 0.01) with confidence levels, there was no association between stress response and performance score. CONCLUSION: Despite being less immersive, the desktop VR was capable of inducing psychological and physiological stress responses by placing emotional, social, and cognitive demands on learners. Additionally, by ensuring close alignment between the simulation tasks and the clinical tasks (i.e. functional fidelity), the desktop VR may provide similar performance outcomes as conventional simulation training. This evidence is timely given the rise in the use of virtual learning platforms to facilitate training during the COVID-19 pandemic where face-to-face training may not be feasible. TRIAL REGISTRATION: The study was registered at ClinicalTrials.gov NCT04330924.

Wearable technology for early detection of COVID-19: A systematic scoping review.

Wearable technology is an emerging method for the early detection of coronavirus disease 2019 (COVID-19) infection. This scoping review explored the types, mechanisms, and accuracy of wearable technology for the early detection of COVID-19. This review was conducted according to the five-step framework of Arksey and O'Malley. Studies published between December 31, 2019 and December 15, 2021 were obtained from 10 electronic databases, namely, PubMed, Embase, Cochrane, CINAHL, PsycINFO, ProQuest, Scopus, Web of Science, IEEE Xplore, and Taylor & Francis Online. Grey literature, reference lists, and key journals were also searched. All types of articles describing wearable technology for the detection of COVID-19 infection were included. Two reviewers independently screened the articles against the eligibility criteria and extracted the data using a data charting form. A total of 40 articles were included in this review. There are 22 different types of wearable technology used to detect COVID-19 infections early in the existing literature and are categorized as smartwatches or fitness trackers (67%), medical devices (27%), or others (6%). Based on deviations in physiological characteristics, anomaly detection models that can detect COVID-19 infection early were built using artificial intelligence or statistical analysis techniques. Reported area-under-the-curve values ranged from 75% to 94.4%, and sensitivity and specificity values ranged from 36.5% to 100% and 73% to 95.3%, respectively. Further research is necessary to validate the effectiveness and clinical dependability of wearable technology before healthcare policymakers can mandate its use for remote surveillance.

Using infrared imaging and deep learning in fit-checking of respiratory protective devices among healthcare professionals.

AIMS: This study aimed to investigate the application of infrared thermal imaging and adopt deep learning to detect air leakage for determining the fitness of respirators during fit-checks. BACKGROUND: The outbreak of Covid-19 virus constitutes a public health crisis with substantial resultant morbidities and mortalities; has exerted profound impacts. METHODS: This was a prospective observational study, employing a non-probability sampling method on a convenience sample to recruit the participants and followed the Strengthening the Reporting of Observational Studies in Epidemiology statement guidelines. RESULTS: The use of infrared thermal imaging identified air leakage points as a disruption to the facial thermal pattern distribution at (a) front of face; (b) right lateral of the face; (c) left lateral of the face; (d) top of the facemask with the head facing down; and (e) bottom of the facemask with the head facing up. Results also indicated that artificial intelligence tools and the proliferation of deep learning have the potential to detect the location of air leakage locations. CONCLUSION: The use of infrared thermal imaging provides evidence of the feasibility and applicability of infrared thermal imaging techniques in detecting air leakage for individuals wearing respirators. CLINICAL RELEVANCE: The use of infrared thermal technology can serve a potential role in complement fit-checking of respiratory protective devices and offers promising practical utility in determining the fitness of respirators for nurses at the frontline to protect against the air-borne viruses.

To Volunteer or Not? Perspectives towards Pre-Registered Nursing Students Volunteering Frontline during COVID-19 Pandemic to Ease Healthcare Workforce: A Qualitative Study.

COVID-19 has caused a shortage of healthcare workers and has strained healthcare systems globally. Pre-registered healthcare students with training have a duty of care and can support the healthcare workforce. This study explored factors influencing the willingness of final-year nursing students to volunteer during the COVID-19 pandemic, the role of professional identity in volunteering as healthcare workers, and strategies to improve future volunteering uptakes and processes. A qualitative study using focus-group discussions was conducted. Final-year nursing students who volunteered, students who did not volunteer, and lecturers who supervised student volunteers were recruited. Interviews were conducted online, video-recorded, and transcribed verbatim. A thematic analysis was used. The themes were "wavering thoughts on volunteering", "bringing out 'the nurse' in students through volunteering" and "gearing up to volunteer". Findings suggested the need to look beyond the simplicity of altruism to the role of professional identity, operational, and motivational factors to explain nursing students' decision to volunteer and their volunteer behavior. Providing accommodation, monetary and academic-related incentives, supporting the transitionary phase from students to "professional volunteers", promoting cohesive and positive staff-student volunteer relationships, and establishing a volunteer management team are strategies identified to improve volunteering uptake and operational processes. Our findings advocate strategic partnerships between hospitals/communities and academic institutions in providing various healthcare services during pandemics.