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Title

Is self-testing the next paradigm for diagnostics?

 

Authors

Diptaraj S. Chaudhari1*, Vikas Ghattargi1, Viqar Shah1, Saurabh Gupta1, Kedar Bele2 & Shrikant Pawar1*

 

Affiliation

1Mylab Discovery Solutions Private Limited, Pune, India; 2Netsurf Communications Pvt. Ltd., Pune, India; *Corresponding authors

 

Email

Diptaraj S. Chaudhari - E-mail: diptaraj.chaudhari@mylabglobal.com

Shrikant Pawar - E-mail: shrikant.p@mylabglobal.com

 

Article Type

Research Article

 

Date

Received March 1, 2023; Revised March 31, 2023; Accepted March 31, 2023, Published March 31, 2023

 

Abstract

The study estimates the usability and attitude assessment of users for India’s first approved rapid antigen self-test kit; the CoviSelf™.  India approved its first AI-powered self-test for Covid-19 in April 2021 a few weeks after the first approval in the US. We present here a study on usability and attitude assessment of users of India’s first approved rapid antigen self-test kit; the CoviSelf™. The study evaluates participants’ understanding of and performance of test procedure and interprets the results. Analysis revealed that more than 90% study participants followed steps correctly as illustrated in the user’s manual. Age group and gender-based analysis showed comparable scores for usability of the test kit suggesting users of different age groups has same ease in using the test kit. What we learnt from this study could be start of self-test revolution, where rapid tests could expand the access of diagnostics for hundreds of diseases including HIV, HPV, and dengue to millions of people who could not get access to diagnostics because we lacked manpower or facility to conduct tests. Self-testing could break the barriers for diagnostics that Internet did for information.

 

Keywords

Usability assessment, AI powered Mylab CoviselfTM application, age and gender, Ease of testing process, Mylab CoviSelfTM - COVID-19 Rapid Antigen Self-Test Kit

 

Citation

Chaudhari et al. Bioinformation 19(3): 278-283 (2023)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.