Impact of the COVID-19 pandemic on clinical radiography education: Perspective of students and educators from a low resource setting.

J Med Imaging Radiat Sci

Institute of Medical Imaging & Visualisation (IMIV), Department of Medical Science & Public Health, Faculty of Health & Social Sciences, Bournemouth University, UK. Electronic address:

Published: March 2022

Introduction: The COVID-19 pandemic has had significant impact on clinical radiography educational activities including teaching, research, and clinical placement. The study aimed to investigate the impact of the COVID-19 pandemic on clinical radiography education in a low-resource setting from the perspectives of students and educators.

Methods: A cross-sectional online survey was conducted between December 2020 and March 2021. Participants included student radiographers and educators from six clinical radiography training institutions in Ghana. Conventional descriptive statistics, frequency, and thematic text analysis were undertaken.

Results: 291 valid responses were received involving 277 students and 14 educators. Most of the respondents, predominantly students did not find the online platforms for learning user-friendly. Key challenges to clinical radiography training during the pandemic included poor internet connectivity (73.8%), inadequate time for academic discussions (50.9%), and the reluctance of health facilities to accept students for clinical placement (51%). Challenges with data collection and the provision of supervision were issues associated with research activities.

Discussion: The findings suggest the COVID-19 pandemic has had significant impact on clinical radiography education in Ghana and other countries of similar resource availability.

Conclusion: Clinical radiography training institutions need to customize approaches to education. Adopting blended learning approaches as well as the use of simulation to augment practical placement opportunities are new modes of instruction that will maximize learning experience.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8603034PMC
http://dx.doi.org/10.1016/j.jmir.2021.11.002DOI Listing

Publication Analysis

Top Keywords

clinical radiography
28
covid-19 pandemic
16
radiography education
12
radiography training
12
clinical
9
impact covid-19
8
pandemic clinical
8
students educators
8
pandemic impact
8
impact clinical
8

Similar Publications

Caffeine-clarithromycin coadministration and hyperlactatemia in a young infant: a case report.

Crit Care Sci

March 2025

Division of Critical Care Medicine, Department of Pediatrics, Hospital das Clínicas, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo - São Paulo (SP), Brazil.

Apnea is a major complication of acute respiratory tract infection in young infants and may lead to the need for ventilatory support. Caffeine is methylxanthine, which is considered the mainstay of pharmacologic treatment for apnea of prematurity. On the basis of neonatal guidelines, caffeine has been used as a respiratory stimulant for the treatment of acute respiratory tract infection-related apnea, despite low evidence of its ability to improve clinical outcomes.

View Article and Find Full Text PDF

Background Multimodal generative artificial intelligence (AI) technologies can produce preliminary radiology reports, and validation with reader studies is crucial for understanding the clinical value of these technologies. Purpose To assess the clinical value of the use of a domain-specific multimodal generative AI tool for chest radiograph interpretation by means of a reader study. Materials and Methods A retrospective, sequential, multireader, multicase reader study was conducted using 758 chest radiographs from a publicly available dataset from 2009 to 2017.

View Article and Find Full Text PDF

Objectives: Given the complexity of temporomandibular joint disorders (TMDs) and their overlapping symptoms with other conditions, an accurate diagnosis necessitates a thorough examination, which can be time-consuming and resource-intensive. Consequently, innovative diagnostic tools are required to increase TMD diagnosis efficiency and precision. Therefore, the purpose of this umbrella review was to examine the existing evidence about the usefulness of artificial intelligence (AI) in TMD diagnosis.

View Article and Find Full Text PDF

Osteosarcoma, although the most common malignant bone tumor in long bones, represents only 5-8% of head and neck tumors, making it uncommon for clinicians. Conventional biopsy techniques can complicate diagnosis due to varying tissue representation in surrounding areas. This article discusses a case involving a 19-year-old female who presented with facial swelling and a rapidly growing intraoral mass.

View Article and Find Full Text PDF

Background: Currently, little is known about the relationship between the temporal radiographic latent trajectories, which are based on the extent of coronavirus disease 2019 (COVID-19) pneumonia and clinical outcomes. This study aimed to elucidate the differences in the temporal trends of critical laboratory biomarkers, utilization of critical care support, and clinical outcomes according to temporal radiographic latent trajectories.

Methods: We enrolled 2,385 patients who were hospitalized with COVID-19 and underwent serial chest radiographs from December 2019 to March 2022.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!