Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.
Who will be affected?
Readers: No access to all 28 journals. We recommend accessing our articles via PubMed Central
Authors: No access to the submission form or your user account.
Reviewers: No access to your user account. Please download manuscripts you are reviewing for offline reading before Wednesday, July 01, 2020 at 7:00 PM.
Editors: No access to your user account to assign reviewers or make decisions.
Copyeditors: No access to user account. Please download manuscripts you are copyediting before Wednesday, July 01, 2020 at 7:00 PM.
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Letter to the Editor: Diagnostic Accuracy of Web-Based COVID-19 Symptom Checkers: Comparison Study
Elizabeth Millen;
Andreas Gilsdorf;
Matthew Fenech;
Stephen Gilbert
ABSTRACT
The area explored in this publication is interesting and somewhat necessary given the novelty of COVID-19 screeners, but the paper does not compare like with like and is not an appropriate evaluation of the use case of the screeners, including the Ada COVID-19 screener. When comparing the screeners appropriately, which is reported in indices but not reported rigorously in the paper, it is shown that Symptoma does not indeed perform superiorly.
Citation
Please cite as:
Millen E, Gilsdorf A, Fenech M, Gilbert S
Screening Tools: Their Intended Audiences and Purposes. Comment on “Diagnostic Accuracy of Web-Based COVID-19 Symptom Checkers: Comparison Study”