A closer look at the utilized radiation doses during computed tomography pulmonary angiography (CTPA) for COVID-19 patients.

Introduction: CTPA stands for computed tomography pulmonary angiography. CTPA is an X-ray imaging that combines X-rays and computer technology to create detailed images of the pulmonary arteries and veins in the lungs. This test diagnoses and monitors conditions like pulmonary embolism, arterial blockages, and hypertension. Coronavirus (COVID-19) has threatened world health over the last three years. The number of (CT) scans increased and played a vital role in diagnosing COVID-19 patients, including life-threatening pulmonary embolism (PE). This study aimed to assess the radiation dose resulted from CTPA for COVID-19 patients. Methods: Data were collected retrospectively from CTPA examinations on a single scanner in 84 symptomatic patients. The data collected included the dose length product (DLP), volumetric computed tomography dose index (CTDIvol), and size-specific dose estimate (SSDE). The organ dose and effective dose were estimated using VirtualDose software. Results: The study population included 84 patients, 52% male and 48% female, with an average age of 62. The average DLP, CTDIvol, and SSDE were 404.2 mGy cm, 13.5 mGy, and 11.6 mGy\, respectively. The mean effective doses (mSv) for males and females were 3.01 and 3.29, respectively. The maximum to minimum organ doses (mGy) between patients was 0.8 for the male bladder and 7.33 for the female lung. Conclusions: The increase in CT scans during the COVID-19 pandemic required close dose monitoring and optimization. The protocol used during CTPA should guarantee a minimum radiation dose with maximum patient benefits.

Investigation of the Radiographer's adherence and compliance with radiation protection and infection control practices during COVID-19 mobile radiography.

Radiological staff, especially radiographers, work as front liners against the COVID-19 outbreak. This study aims to assess compliance with radiation protection and infection control practices during COVID-19 mobile radiography procedures. This cross-sectional study included 234 radiographers (females, 56%, n = 131; males, 44%, n = 103) who were asked to complete an online questionnaire consisting of demographic data, radiation protection and infection control practices during COVID-19 portable cases, and knowledge and awareness. After informed consent was completed, SPSS statistical software was used for the data analysis. The most common age group of participants ranged from 18 to 25 years old (30.3%, n = 71). Bachelor's degree holders were 74.4% (n = 174). Most radiographers (39.7%, n = 93) had a working experience of 1-5 years, followed by 27.8% (n = 65) with more than 16 years of experience. Most respondents (62.4%, n = 146) handled approximately 1-5 cases daily, the majority of them (56%, n = 131) stated affirmatively they had obtained special training to handle COVID-19, and when inquired if they had received any special allowances for handling COVID-19 suspected/confirmed cases most of them stated negative (73.9%, n = 173). Most participants stated that they always wear a TLD during portable cases (67.1%, n = 157) and a lead apron (51.7%, n = 121). Around 73% (n = 171) knew the latest information on COVID-19 and attended the COVID-19 awareness course. A significant association was found between the work experience of the radiographers and their responses to following the best practices (p = 0.018, α = 0.05). Radiographers who had COVID-19 training (µ = 48.78) tend to adhere more to best practices than those who have not (p = 0.04, α = 0.05). Further, respondents who handled more than 16/more COVID-19 suspected/confirmed cases followed the best practices more (µ = 50.38) than those who handled less (p = 0.04, α = 0.05). This study revealed detailed information on radiation protection and infection control practices during COVID-19 mobile radiography. It has been observed that the participants/radiographers have good knowledge and awareness of radiation protection and infection-control practices. The present results may be used to plan future requirements regarding resources and training to ensure patient safety.

Low-Dose Chest CT Protocols for Imaging COVID-19 Pneumonia: Technique Parameters and Radiation Dose.

Chest computed tomography (CT) plays a vital role in the early diagnosis, treatment, and follow-up of COVID-19 pneumonia during the pandemic. However, this raises concerns about excessive exposure to ionizing radiation. This study aimed to survey radiation doses in low-dose chest CT (LDCT) and ultra-low-dose chest CT (ULD) protocols used for imaging COVID-19 pneumonia relative to standard CT (STD) protocols so that the best possible practice and dose reduction techniques could be recommended. A total of 564 articles were identified by searching major scientific databases, including ISI Web of Science, Scopus, and PubMed. After evaluating the content and applying the inclusion criteria to technical factors and radiation dose metrics relevant to the LDCT protocols used for imaging COVID-19 patients, data from ten articles were extracted and analyzed. Technique factors that affect the application of LDCT and ULD are discussed, including tube current (mA), peak tube voltage (kVp), pitch factor, and iterative reconstruction (IR) algorithms. The CTDIvol values for the STD, LDCT, and ULD chest CT protocols ranged from 2.79-13.2 mGy, 0.90-4.40 mGy, and 0.20-0.28 mGy, respectively. The effective dose (ED) values for STD, LDCT, and ULD chest CT protocols ranged from 1.66-6.60 mSv, 0.50-0.80 mGy, and 0.39-0.64 mSv, respectively. Compared with the standard (STD), LDCT reduced the dose reduction by a factor of 2-4, whereas ULD reduced the dose reduction by a factor of 8-13. These dose reductions were achieved by applying scan parameters and techniques such as iterative reconstructions, ultra-long pitches, and fast spectral shaping with a tin filter. Using LDCT, the cumulative radiation dose of serial CT examinations during the acute period of COVID-19 may have been inferior or equivalent to that of conventional CT.

Infection control and radiation safety practices in the radiology department during the COVID-19 outbreak.

RATIONALE AND OBJECTIVES: Radiology personnel must have good knowledge, experience and adherence to radiation protection and infection control practices to ensure patient safety and prevent the further spread of the COVID-19 virus. This study analysed compliance and adherence to radiation protection and infection control during COVID-19 mobile radiography. METHODS: A cross-sectional using online survey was conducted from September to December 2021. Data on demographic characteristics, adherence to radiation protection and infection control practice were collected during mobile radiography for COVID-19 patients in the study. A random sample of the radiographers working in COVID-19 centres in the United Arab Emirates. RESULTS: Responses were received from 140 participants, with a response rate of 87.5%. Females were the predominant participants (n = 81; 58%). Participants aged ages between 18-25 years (n = 46; 33%) and 26-35 years (n = 42; 30%), (n = 57; 41%) had less than five years of experience, followed by participants who had more than 15 years (n = 38; 27%). Most participants (n = 81; 57.9%) stated that they performed approximately 1-5 suspected or confirmed COVID-19 cases daily. The participants had moderate to high adherence to radiation protection, with a mean and standard deviation of 42.3 ± 6.28. Additionally, infection control adherence was high, with 82% of the participants showing high adherence. CONCLUSION: Continuous guidance, training and follow-up are recommended to increase adherence and compliance to radiation protection and infection control compliance. Educational institutions and professional organisations must collaborate to provide structured training programmes for radiology practitioners to overcome the practice and knowledge gap.

Compliance with infection control and radiation protection measures during COVID-19 in the UAE's radiology department

Introduction To guarantee patient safety and prevent the future transmission of the COVID-19 virus, radiology staff members must have solid knowledge, expertise and commitment to radiation protection and infection control practices. Compliance and adherence to infection control and radiation protection during COVID-19 radiography were examined in this study. Methods Online cross-sectional research was conducted using an electronic survey. The survey collected participants’ demographics, radiation protection compliance, and infection control practices during COVID-19 patients' radiography procedures. Results The participants adhered to patient protection and self-protection by 89.2% and 90.2%, respectively. The total adherence to radiation protection practices score was 80.2%. Older participants with more experience had significantly higher adherence scores (P = 0.0001). However, there was no discernible difference in adherence scores between the participants’ educational backgrounds. The individuals’ mean and standard deviation for infection control were 87.5% ± 16.28, respectively. Additionally, a large percentage of participants (95%) demonstrated good adherence to infection-control measures. Conclusion To promote adherence to and compliance with radiation safety and infection control, ongoing guidance, training, and follow-up is advised. To close the practice and knowledge gap, educational institutions and professional organisations must work together to offer structured training programmes for radiology practitioners.

Factors that affect student engagement in online learning in health professions education.

BACKGROUND: Student engagement is vital in achieving learning outcomes and improving students' motivation, involvement, and attitudes toward learning. The aim of this study was to identify the factors that affect student engagement in online learning in medical and health science colleges. METHODS: A cross-sectional study was conducted among medical and health science students and faculty in May 2020. The Online Engagement Strategies Questionnaire was e-mailed to 370 students and 102 faculty members. The SPSS statistical software was used for the statistical analysis. Exploratory factor analysis was performed to identify the factors that affected the students' engagement in online learning. Composite scores were calculated for factors, separately for the student and faculty responses. Descriptive statistical analysis was performed for the student and faculty responses. RESULTS: The response rates of the students and faculty were 85.1% and 74.1%, respectively. The mean ages of the students and faculty were 20.6 and 44.6 years, respectively. Eighty-five percent of the faculty (n = 51) and 88.3% (n = 278) of the students found that the use of technology in proper communication was an important strategy to engage students in online learning. The factor analysis revealed agreement between the students and faculty regarding the factors that support student engagement in online learning. Techno-pedagogical skills were considered very important for faculty and important for students. For both faculty and students, self-directed learning skills were important, and peer-assisted learning (PAL) was fair symmetry. Nevertheless, collaborative learning (CL) was fairly symmetry to students and important to faculty. CONCLUSION: To enhance student engagement in online learning, faculty members should consider improving their techno-pedagogical skills. Moreover, by incorporating self-directed learning, CL and PAL will support student engagement. Finally, faculty development, updating of course design, and institutional policies are all required to support online learning.

Satisfaction with online learning in the new normal: perspective of students and faculty at medical and health sciences colleges.

Online learning has become the new normal in many medical and health science schools worldwide, courtesy of COVID-19. Satisfaction with online learning is a significant aspect of promoting successful educational processes. This study aimed to identify factors affecting student and faculty satisfaction with online learning during the new normal. Online questionnaires were emailed to students (n = 370) and faculty (n = 81) involved in online learning during the pandemic. The questionnaires included closed- and open-ended questions and were organised into two parts: socio-demographic information and satisfaction with online learning. Descriptive statistics were used to analyse the responses to the satisfaction scales. Students' and faculty responses to the open-ended questions were analysed using the thematic analysis method. The response rate was 97.8% for students and 86.4% for faculty. Overall satisfaction among students was 41.3% compared to 74.3% for faculty. The highest areas of satisfaction for students were communication and flexibility, whereas 92.9% of faculty were satisfied with students' enthusiasm for online learning. Technical problems led to reduced student satisfaction, while faculty were hampered by the higher workload and the required time to prepare the teaching and assessment materials. Study-load and workload, enhancing engagement, and technical issues (SWEET) were the themes that emerged from the thematic analysis as affecting student and faculty satisfaction. Adopting a combination synchronous and asynchronous approach, incorporating different applications to engage students, and timely feedback are imperative to increasing student satisfaction, while institutional support and organisational policy could enhance faculty satisfaction.