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Usability, inclusivity, and content evaluation of COVID-19 contact tracing apps in the United States

Serena O. Blacklow, Sarah Lisker, Madelena Y. Ng, Urmimala Sarkar, Courtney R. Lyles

2021Journal of the American Medical Informatics Association32 citationsDOIOpen Access PDF

Abstract

We evaluated the usability of mobile COVID-19 contact tracing apps, especially for individuals with barriers to communication and limited digital literacy skills. We searched the Apple App Store, Google Play, peer-reviewed literature, and lay press to find contact tracing apps in the United States. We evaluated apps with a framework focused on user characteristics and user interface. Of the final 26 apps, 77% were on both iPhone and Android. 69% exceeded 9th grade readability, and 65% were available only in English. Only 12% had inclusive illustrations (different genders, skin tones, physical abilities). 92% alerted users of an exposure, 42% linked to a testing site, and 62% linked to a public health website within 3 clicks. Most apps alert users of COVID-19 exposure but require high English reading levels and are not fully inclusive of the U.S. population, which may limit their reach as public health tools.

Topics & Concepts

UsabilityContact tracingCoronavirus disease 2019 (COVID-19)TracingSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Computer science2019-20 coronavirus outbreakContent (measure theory)Human–computer interactionVirologyMedicineOperating systemMathematicsPathologyOutbreakInfectious disease (medical specialty)Mathematical analysisDiseaseCOVID-19 Digital Contact TracingMobile Health and mHealth ApplicationsPrivacy, Security, and Data Protection
Usability, inclusivity, and content evaluation of COVID-19 contact tracing apps in the United States | Litcius