Background: The Coronavirus Disease 2019 pandemic has forced major changes on healthcare systems. Maintaining regular patients’ surveillance became a major challenge. Telemedicine has been promoted as an economic and effective way for long distance patient care. Our aim was to study patients’ acceptance and perspectives on telemedicine. Methods: Patients scheduled for clinic appointments were offered telemedicine. Those who agreed were asked to fill in a questionnaire assessing their satisfaction with the medical consultation. Patients’ demographic characteristics and answers were collected and reviewed. Results: Out of 358 patients approached 71 agreed to use telemedicine. Of them, 59 completed the questionnaire and were included in the study. All patients’ basic demographic data were collected. Patients’ included in the study mean age was: 43 ± 16.3 years, 35 (59.3%) women. Patients who chose not to use telemedicine were significantly older, mean age: 61 ± 15.2 years ( p = 0.036), 134 (46.7%) women. Most patients included (38; 64.4%) had inflammatory bowel disease (IBD). Most patients who chose not to use telemedicine were non-IBD patients (206, 72%). Fifty-one patients (86.4%) assessed their experience as ‘good’ or ‘excellent’. Satisfied patients had significantly less time under medical follow-up (3.7 versus 6.1 years, p = 0.028) and tended to be younger ( p = non-significant). Women were statistically significantly more satisfied than men (33 versus 18, p = 0.05). Advantages reported were ‘time saving’ (31.3%), accessibility (26.1%), availability (25%). The main disadvantage was absence of physical examination (70%). Conclusions: Telemedicine gained a high satisfaction rate among patients under regular medical surveillance. Most patients stated this that method is convenient, time saving and increases their compliance. Patients who agreed to telecare were younger, and tended to be of female gender and experiencing IBD. Further studies are needed to characterize specific barriers to telecare usage.
The field of gastroenterology (GI) is constantly evolving. It is essential to pinpoint the most pressing and important research questions. To evaluate the potential of chatGPT for identifying research priorities in GI and provide a starting point for further investigation. We queried chatGPT on four key topics in GI: inflammatory bowel disease, microbiome, Artificial Intelligence in GI, and advanced endoscopy in GI. A panel of experienced gastroenterologists separately reviewed and rated the generated research questions on a scale of 1–5, with 5 being the most important and relevant to current research in GI. chatGPT generated relevant and clear research questions. Yet, the questions were not considered original by the panel of gastroenterologists. On average, the questions were rated 3.6 ± 1.4, with inter-rater reliability ranging from 0.80 to 0.98 (p < 0.001). The mean grades for relevance, clarity, specificity, and originality were 4.9 ± 0.1, 4.6 ± 0.4, 3.1 ± 0.2, 1.5 ± 0.4, respectively. Our study suggests that Large Language Models (LLMs) may be a useful tool for identifying research priorities in the field of GI, but more work is needed to improve the novelty of the generated research questions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.