Knowledge of Sars-CoV-2 antigen detection and proper use of rapid diagnostic self-test among Shanghai residents in China
Bibliographic Data
| ID | 22074787 |
|---|---|
| Authors | Ren-Ping Gu (Shanghai University of Medicine and Health Sciences, corresponding author), Aiyong Zhu (0000-0001-6094-4124, Shanghai University of Medicine and Health Sciences), Ai-Yong Zhu |
| Year | 2023 |
| Volume | 11 |
| Pages | 1036823-1036823 |
| Publication date | 2023-01-24 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2023.1036823 |
| PMID | 36761141 |
| OpenAlex | W4319826190 |
| Language | EN |
| References cited | 14 |
Objectives: To assess and evaluate the knowledge of Shanghai, China, residents on the use of SARS-CoV-2 antigen detection and rapid diagnostic self-test. Methods: the online platform, Sojump, to general individuals. Multiple linear regression analysis was performed to determine the variables associated with knowledge of self-test. Results: A total of 283 participants were recruited between July 1, 2022 and July 20, 2022 through an online survey. The mean score of knowledge on the tests was 14.33 ± 2.85 (out of 21). The questions concerning the depth of swab insertion and minimum number of swab rotations in the nostril, necessity of bilateral sampling, necessity of rotating and squeezing the swab for 10 times in the extraction buffer tube, and waiting time for the results showed the highest rate of incorrect responses. In the multiple regression analysis model, sex, social status, and source of information were associated with the knowledge on the self-test kits. Conclusion: Immediate health education programs should be made available and the kits could be improved appropriately to ensure adequate knowledge. The use of technology should be fully leveraged to achieve accurate self-diagnosis and correct interpretation of the results
Cross-sectional study · Disease · Pathology · Regression analysis · Statistics · Telecommunications · Computer Science · COVID-19 Clinical Research Studies · Mathematics · Medicine · SARS-CoV-2 and COVID-19 Research · SARS-CoV-2 detection and testing · Internal Medicine
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| Citation velocity | historical |
|---|---|
| Highly cited | No |