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COVID-19 awareness, knowledge and perception towards digital health in an urban multi-ethnic Asian population.
Teo, Cong Ling; Chee, Miao Li; Koh, Kai Hui; Tseng, Rachel Marjorie Wei Wen; Majithia, Shivani; Thakur, Sahil; Gunasekeran, Dinesh Visva; Nusinovici, Simon; Sabanayagam, Charumathi; Wong, Tien Yin; Tham, Yih-Chung; Cheng, Ching-Yu.
Affiliation
  • Teo CL; Singapore Eye Research Institute, Singapore National Eye Centre, The Academia, 20 College Road, Discovery Tower Level 6, Singapore, 169856, Singapore.
  • Chee ML; Singapore Eye Research Institute, Singapore National Eye Centre, The Academia, 20 College Road, Discovery Tower Level 6, Singapore, 169856, Singapore.
  • Koh KH; Singapore Eye Research Institute, Singapore National Eye Centre, The Academia, 20 College Road, Discovery Tower Level 6, Singapore, 169856, Singapore.
  • Tseng RMWW; Singapore Eye Research Institute, Singapore National Eye Centre, The Academia, 20 College Road, Discovery Tower Level 6, Singapore, 169856, Singapore.
  • Majithia S; Singapore Eye Research Institute, Singapore National Eye Centre, The Academia, 20 College Road, Discovery Tower Level 6, Singapore, 169856, Singapore.
  • Thakur S; Singapore Eye Research Institute, Singapore National Eye Centre, The Academia, 20 College Road, Discovery Tower Level 6, Singapore, 169856, Singapore.
  • Gunasekeran DV; Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.
  • Nusinovici S; Singapore Eye Research Institute, Singapore National Eye Centre, The Academia, 20 College Road, Discovery Tower Level 6, Singapore, 169856, Singapore.
  • Sabanayagam C; Singapore Eye Research Institute, Singapore National Eye Centre, The Academia, 20 College Road, Discovery Tower Level 6, Singapore, 169856, Singapore.
  • Wong TY; Duke-NUS Medical School, Singapore, Singapore.
  • Tham YC; Singapore Eye Research Institute, Singapore National Eye Centre, The Academia, 20 College Road, Discovery Tower Level 6, Singapore, 169856, Singapore.
  • Cheng CY; Duke-NUS Medical School, Singapore, Singapore.
Sci Rep ; 11(1): 10795, 2021 05 24.
Article in En | MEDLINE | ID: mdl-34031469
This study aimed to determine COVID-19-related awareness, knowledge, impact and preparedness among elderly Asians; and to evaluate their acceptance towards digital health services amidst the pandemic. 523 participants (177 Malays, 171 Indians, 175 Chinese) were recruited and underwent standardised phone interview during Singapore's lockdown period (07 April till 01 June 2020). Multivariable logistic regression models were performed to evaluate the associations between demographic, socio-economic, lifestyle, and systemic factors, with COVID-19 awareness, knowledge, preparedness, well-being and digital health service acceptance. The average perception score on the seriousness of COVID-19 was 7.6 ± 2.4 (out of 10). 75.5% of participants were aware that COVID-19 carriers can be asymptomatic. Nearly all (≥ 90%) were aware of major prevention methods for COVID-19 (i.e. wearing of mask, social distancing). 66.2% felt prepared for the pandemic, and 86.8% felt confident with government's handling and measures. 78.4% felt their daily routine was impacted. 98.1% reported no prior experience in using digital health services, but 52.2% felt these services would be helpful to reduce non-essential contact. 77.8% were uncomfortable with artificial intelligence software interpreting their medical results. In multivariable analyses, Chinese participants felt less prepared, and more likely felt impacted by COVID-19. Older and lower income participants were less likely to use digital health services. In conclusion, we observed a high level of awareness and knowledge on COVID-19. However, acceptance towards digital health service was low. These findings are valuable for examining the effectiveness of COVID-19 communication in Singapore, and the remaining gaps in digital health adoption among elderly.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Perception / Awareness / Telemedicine / Knowledge / COVID-19 Type of study: Observational_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: Sci Rep Year: 2021 Document type: Article Affiliation country: Singapore Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Perception / Awareness / Telemedicine / Knowledge / COVID-19 Type of study: Observational_studies / Prevalence_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: Sci Rep Year: 2021 Document type: Article Affiliation country: Singapore Country of publication: United kingdom