ABSTRACT
Background and Aim: Since the emergence of COVID-19, tele-rheumatology care has presented as an appealing alternative way for accessing health care. The efficacy of tele-care needs to be evaluated in our setting. This study aimed at assessing the agreement between the tele-visit and the face-to- face clinic-based visit. Methodology: We prospectively recruited patients with rheumatoid arthritis;who were following up in the out-patient department clinics between December 2021 and May 2022. Each patient underwent disease activity assessment by means of disease activity score 28-c- reactive protein (DAS28-CRP) and disease activity score28-erythrocyte sedimentation rate (DAS28-ESR). Within two weeks from the face-to- face visit, we virtually assessed their disease activity, through a telephone-based interview, by applying Routine Assessment of Patient Index Data 3 (RAPID3) score, collecting data on demographics and inquiring about satisfaction with the tele-visit. Disease activity scores were categorized into remission or low disease activity, and moderate to high disease activity. Result(s): In our study, 78 patients were recruited and completed the two-points interview. A total of 62(79.49%) of the participants were female;mean age of 54.73 +/- 13.71 years. Seropositivity for rheumatoid factor and/or anti-citrullinated peptide was found in 51(83.61%) participants. 27% of patients with RAPID3 had remission or low disease activity. While this was 71% and 33% for DAS28-CRP and DAS28-ESR, respectively. Moderate to high disease activity percentage of 73%, 29% and 67% were found in RAPID3, DAS28-CRP and DAS28-ESR, respectively. Furthermore, the correlations of RAPID 3 were relatively moderate but significant with DAS28-CRP (r = 0.6, P-value < 0.001) and DAS28-ESR (r = 0.4, P-value = 0.001), respectively. Satisfaction rates with the tele-visit were at odds with other reported publications. Conclusion(s): Tele-rheumatology assessment of disease activity for patients with rheumatoid arthritis appears to be feasible in our setting. Further studies should aim at assessing patients' satisfaction and the recently implemented video-based tele-clinics.
ABSTRACT
The shift to online education due to the COVID-19 pandemic has brought various challenges to different individuals. Among these affected individuals are deaf and hearing-impaired. They face difficulties in understanding online videos because they do not provide real-time translation into Sign languages. The main idea of this project is derived from this point. It proposes a PC-based application called "Al-Banan"that supports deaf and hearing-impaired in the Arabic region to understand media in general including learning video and live virtual classes by translating Basic Arabic Speech into Arabic Sign language using a three-dimensional avatar. The application was built done using Python and C# languages. The application was tested on many deaf through social media and proved to be effective if the word exists in the dictionary a three-dimensional cartoon avatar showing the corresponding Saudi Arabia Sign Language. Otherwise, the word is represented by finger spelling. The results proved the understanding and acceptance of the idea by the deaf. © 2021 IEEE.