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Data Set on Accuracy of Symptom Checker Apps in 2020

<p>These two data sets present the accuracy of triage (disposition) and diagnostic advice of symptom checker apps sampled in 2020. The sample consists of 22 commonly used symptom checker apps, of which 14 also provide diagnostic advice. The apps were tested on 45 case vignettes, i.e. fictitious descriptions of patients. As not every app was able to appraise every vignette our study yielded a total of&nbsp;796 unique triage evaluations and 520 unique diagnostic evaluations.&nbsp;The data sets are a supplement to the paper &quot;Triage Accuracy of Symptom Checker Apps: A Five-year Follow-up Evaluation&quot; (doi:&nbsp;<a href="https://doi.org/10.2196/31810">10.2196/31810</a>).</p> <p>The was collected by Anna Dames as partial requirement for her MSc degree in Human Factors in the Department of Psychology and Ergonomics (IPA) at Technische Universit&auml;t Berlin.</p> <p>The clinical vignettes were originally compiled and modified by Semigran et al. in 2015&nbsp;(https://doi.org/10.1136/bmj.h3480), and further adapted by Hill et al. (2020) (doi: 10.5694/mja2.50600) and in the study these data sets are supplement to (doi:&nbsp;<a href="https://doi.org/10.2196/31810">10.2196/31810</a>).</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
16
Reuse readiness
8
Engagement
4

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