ArticleJournal of medical Internet research2020
COVID-19 Contact-Tracing Apps: Analysis of the Readability of Privacy Policies.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
19 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Data Management and Privacy Policy of COVID-19 Contact-Tracing Apps: Systematic Review and Content Analysis.JMIR mHealth and uHealth · 2022Pooled it
- Factors Influencing the Adoption of Contact Tracing Applications: Systematic Review and Recommendations.Frontiers in digital health · 2022Pooled it
- Characteristics and determinants of population acceptance of COVID-19 digital contact tracing: a systematic review.Acta bio-medica : Atenei Parmensis · 2021Pooled it
- Privacy Policy Compliance of Mobile Sports and Health Apps in China: Scale Development, Data Analysis, and Prospects for Regulatory Reform.JMIR mHealth and uHealth · 2026Article
- Privacy policies for FDA-authorized or FDA-recognized digital therapeutics impose high digital health literacy demands: a cross-sectional analysis.Frontiers in public health · 2026Article
- Quality and Privacy Policy Compliance of Mental Health Care Apps in China: Cross-Sectional Evaluation Study.Journal of medical Internet research · 2025Article
- Mobile Apps for COVID-19: A Systematic Review of Reviews.Healthcare (Basel, Switzerland) · 2024Review
- Personal Information Protection and Privacy Policy Compliance of Health Code Apps in China: Scale Development and Content Analysis.JMIR mHealth and uHealth · 2023Review
- Where horizontal and vertical surveillances meet: Sense-making of US COVID-19 contact-tracing apps during a health crisis.Mobile media & communication · 2022Article
- Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of COVID-19 Contact Tracing "MorChana" in Thailand.International journal of environmental research and public health · 2022Article
- Official Websites Providing Information on COVID-19 Vaccination: Readability and Content Analysis.JMIR public health and surveillance · 2022Article
- Readability of Korean-Language COVID-19 Information from the South Korean National COVID-19 Portal Intended for the General Public: Cross-sectional Infodemiology Study.JMIR formative research · 2022Article
- Reasons for Nonuse, Discontinuation of Use, and Acceptance of Additional Functionalities of a COVID-19 Contact Tracing App: Cross-sectional Survey Study.JMIR public health and surveillance · 2022Article
- Content and Communication of Inpatient Family Visitation Policies During the COVID-19 Pandemic: Sequential Mixed Methods Study.Journal of medical Internet research · 2021Article
- Article
- How Artificial Intelligence and New Technologies Can Help the Management of the COVID-19 Pandemic.International journal of environmental research and public health · 2021Review
- Best Practice Guidance for Digital Contact Tracing Apps: A Cross-disciplinary Review of the Literature.JMIR mHealth and uHealth · 2021Review
- Adoption of COVID-19 Contact Tracing Apps: A Balance Between Privacy and Effectiveness.Journal of medical Internet research · 2021Article
- Early Perceptions of COVID-19 Contact Tracing Apps in German-Speaking Countries: Comparative Mixed Methods Study.Journal of medical Internet research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Apps that enable contact-tracing are instrumental in mitigating the transmission of COVID-19, but there have been concerns among users about the data collected by these apps and their management. Contact tracing is of paramount importance when dealing with a pandemic, as it allows for rapid identification of cases based on the information collected from infected individuals about other individuals they may have had recent contact with. Advances in digital technology have enabled devices such as mobile phones to be used in the contract-tracing process. However, there is a potential risk of users' personal information and sensitive data being stolen should hackers be in the near vicinity of these devices. Thus, there is a need to develop privacy-preserving apps. Meanwhile, privacy policies that outline the risk associated with the use of contact-tracing apps are needed, in formats that are easily readable and comprehensible by the public. To our knowledge, no previous study has examined the readability of privacy policies of contact-tracings apps. Therefore, we performed a readability analysis to evaluate the comprehensibility of privacy policies of 7 contact-tracing apps currently in use. The contents of the privacy policies of these apps were assessed for readability using Readability Test Tool, a free web-based reliability calculator, which computes scores based on a number of statistics (ie, word count and the number of complex words) and indices (ie, Flesch Reading Ease, Flesch-Kincaid Reading Grade Level, Gunning Fog Index, and Simplified Measure of Gobbledygook index). Our analysis revealed that explanations used in the privacy policies of these apps require a reading grade between 7 and 14, which is considerably higher than the reading ability of the average individual. We believe that improving the readability of privacy policies of apps could be potentially reassuring for users and may help facilitate the increased use of such apps.
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Registered trials
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.