Evidence map›Paper›PMID 36084078›Full record

ArticlePloS one2022

COVID-19 contact tracing app reviews reveal concerns and motivations around adoption.

Erica L Dixon, Sukanya M Joshi, William Ferrell, Kevin G Volpp, Raina M Merchant, Sharath Chandra Guntuku

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.9field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Erica L DixonCenter for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA, United States of America.
Sukanya M JoshiCenter for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA, United States of America.
William FerrellCenter for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA, United States of America.ORCID 0000-0001-9966-1973
Kevin G VolppCenter for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, PA, United States of America.
Raina M MerchantDepartment of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, United States of America.
Sharath Chandra GuntukuDepartment of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, United States of America.ORCID 0000-0002-2929-0035
University of Pennsylvania · USUniversity of Pennsylvania Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGoogle and Apple's Exposure Notifications System (ENS) was developed early in the COVID-19 pandemic to complement existing contact tracing efforts while protecting user privacy. An analysis by the Associated Press released in December 2020 estimated approximately 1 in 14 people had downloaded apps in states one was available. In this study, we assessed the motivation and experience of individuals who downloaded ENS apps from the Google Play and Apple App Stores.

methodsWe collected review text, star rating, and date of rating for all the reviews on ENS apps in the Google Play and Apple App stores. We extracted the relative frequency of single words and phrases from reviews and created an open vocabulary language, with themes categorized by the research team, to study the salient themes around reviews with high (3-5 stars), neutral (3 stars), and negative (1-2 stars) ratings using logistic regression.

resultsOf 7622 reviews obtained from 26 states between 04/07/2020 to 03/31/2021, 6364 were from Google Play Store, and 1258 were from Apple App Store. We obtained reviews for a total of 38 apps, with 25 apps from the Google Play Store and 13 apps from the Apple Play Store. 78% of the reviews are either 1 star or 5 stars. Positive reviews were driven by ease of use, support for the state government in creating the app, and encouragement for others to download, as well as engage in other COVID-19 precautions. Negative and neutral reviews focused on issues with app functionality (i.e., installation and tracking errors).

conclusionsUptake was the largest barrier to success for ENS apps, but states can use insight from app store reviews to better position themselves if they choose to develop further public health apps.

Indexed as

COVID-19Mobile ApplicationsContact TracingHumansMotivationPandemics

Identifiers

PMID36084078
PMCPMC9462778
OpenAlexW4295049450

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.