Towards a Taxonomy for Evaluating Societal Concerns of Contact Tracing Apps

Welsh, Thomas; Rekanar, Kaavya; Abbas, Manzar; Chochlov, Muslim; Fitzgerald, Brian; Glynn, Liam; Johnson, Kevin; Laffey, John G.; McNicholas, Bairbre; Nuseibeh, Bashar; O’Connell, James J.; O’Keeffe, Derek; O’Keeffe, Ian R.; O'Callaghan, Mike; Razzaq, Abdul; Richardson, Ita; Simpkin, Andrew; Storni, Cristiano; Tsvyatkova, Damyanka; Walsh, Jane C.; Buckley, Jim

doi:10.1109/besc51023.2020.9348293

Cited by 6 publications

(6 citation statements)

References 16 publications

(10 reference statements)

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“…They are scoped to ensure that CTAs are compared fairly, such that security vulnerabilities related to software or system components that cannot be changed by the CTA development are not considered; for example, those related to the system security of third-party providers (third-party vendors are noted in “General Characteristics,” under “development partners,” so that an indirect warning flag is retained). These attributes incorporate a novel approach to CTA evaluation that was developed to ensure a lightweight comparison using the potentially incomplete data available for each app: analyzing vulnerabilities of distinct app functionalities against a common threat assessment model [ 96 ]. Attributes under Security (namely, STRIDE [Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege] taxonomy/vulnerabilities, contact tracing–specific threats, software architecture security, and Software Development Life Cycle [SDLC] and Security) are designed to indicate whether these vulnerabilities are bugs in the code, which can be fixed or would require a redesign of the architecture to address.…”

Section: Resultsmentioning

confidence: 99%

Digital Contact Tracing Apps for COVID-19: Development of a Citizen-Centered Evaluation Framework

Tsvyatkova¹,

Buckley²,

Beecham³

et al. 2022

JMIR Mhealth Uhealth

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Background The silent transmission of COVID-19 has led to an exponential growth of fatal infections. With over 4 million deaths worldwide, the need to control and stem transmission has never been more critical. New COVID-19 vaccines offer hope. However, administration timelines, long-term protection, and effectiveness against potential variants are still unknown. In this context, contact tracing and digital contact tracing apps (CTAs) continue to offer a mechanism to help contain transmission, keep people safe, and help kickstart economies. However, CTAs must address a wide range of often conflicting concerns, which make their development/evolution complex. For example, the app must preserve citizens’ privacy while gleaning their close contacts and as much epidemiological information as possible. Objective In this study, we derived a compare-and-contrast evaluative framework for CTAs that integrates and expands upon existing works in this domain, with a particular focus on citizen adoption; we call this framework the Citizen-Focused Compare-and-Contrast Evaluation Framework (C3EF) for CTAs. Methods The framework was derived using an iterative approach. First, we reviewed the literature on CTAs and mobile health app evaluations, from which we derived a preliminary set of attributes and organizing pillars. These attributes and the probing questions that we formulated were iteratively validated, augmented, and refined by applying the provisional framework against a selection of CTAs. Each framework pillar was then subjected to internal cross-team scrutiny, where domain experts cross-checked sufficiency, relevancy, specificity, and nonredundancy of the attributes, and their organization in pillars. The consolidated framework was further validated on the selected CTAs to create a finalized version of C3EF for CTAs, which we offer in this paper. Results The final framework presents seven pillars exploring issues related to CTA design, adoption, and use: (General) Characteristics, Usability, Data Protection, Effectiveness, Transparency, Technical Performance, and Citizen Autonomy. The pillars encompass attributes, subattributes, and a set of illustrative questions (with associated example answers) to support app design, evaluation, and evolution. An online version of the framework has been made available to developers, health authorities, and others interested in assessing CTAs. Conclusions Our CTA framework provides a holistic compare-and-contrast tool that supports the work of decision-makers in the development and evolution of CTAs for citizens. This framework supports reflection on design decisions to better understand and optimize the design compromises in play when evolving current CTAs for increased public adoption. We intend this framework to serve as a foundation for other researchers to build on and extend as the technology matures and new CTAs become available.

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Section: Resultsmentioning

confidence: 99%

Digital Contact Tracing Apps for COVID-19: Development of a Citizen-Centered Evaluation Framework

Tsvyatkova¹,

Buckley²,

Beecham³

et al. 2022

JMIR Mhealth Uhealth

Self Cite

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“…DCTA user experience considerations can be thought of as those relating to universality and those relating to user engagement. Multimedia Appendix 7 [ 29 , 32 , 36 , 38 , 39 , 42 , 69 , 96 - 104 , 106 , 107 , 110 - 118 , 180 - 182 ] provides an overview of the key academic literature [ 75 , 96 - 105 ], gray literature [ 106 , 107 ], regulations [ 42 , 108 - 111 ], guidelines [ 112 , 113 , 180 ], and assessments of existing DCTAs [ 29 , 32 , 38 , 114 - 118 ] that support these recommendations.…”

Section: Resultsmentioning

confidence: 99%

“…A collaborative cross-disciplinary approach (Multimedia Appendix 1 [32,[36][37][38][39]) was used to derive best practice guidance for designing the IDCTA. The cross-disciplinary team included specialists from computer science, engineering, clinical medicine, medical technology, and psychology.…”

Section: Methodsmentioning

confidence: 99%

“…DCTA user experience considerations can be thought of as those relating to universality and those relating to user engagement. Multimedia Appendix 7 [29,32,36,38,39,42,69,[96][97][98][99][100][101][102][103][104]106,107,[110][111][112][113][114][115][116][117][118][180][181][182] provides an overview of the key academic literature [75,[96][97][98][99][100][101][102][103][104][105], gray literature [106,107], regulations [42,[108][109][110][111], guidelines [112,113,…”

Section: User Experience Considerationsmentioning

confidence: 99%

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Best Practice Guidance for Digital Contact Tracing Apps: A Cross-disciplinary Review of the Literature

O’Connell

Abbas

Beecham

et al. 2021

JMIR Mhealth Uhealth

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Background Digital contact tracing apps have the potential to augment contact tracing systems and disrupt COVID-19 transmission by rapidly identifying secondary cases prior to the onset of infectiousness and linking them into a system of quarantine, testing, and health care worker case management. The international experience of digital contact tracing apps during the COVID-19 pandemic demonstrates how challenging their design and deployment are. Objective This study aims to derive and summarize best practice guidance for the design of the ideal digital contact tracing app. Methods A collaborative cross-disciplinary approach was used to derive best practice guidance for designing the ideal digital contact tracing app. A search of the indexed and gray literature was conducted to identify articles describing or evaluating digital contact tracing apps. MEDLINE was searched using a combination of free-text terms and Medical Subject Headings search terms. Gray literature sources searched were the World Health Organization Institutional Repository for Information Sharing, the European Centre for Disease Prevention and Control publications library, and Google, including the websites of many health protection authorities. Articles that were acceptable for inclusion in this evidence synthesis were peer-reviewed publications, cohort studies, randomized trials, modeling studies, technical reports, white papers, and media reports related to digital contact tracing. Results Ethical, user experience, privacy and data protection, technical, clinical and societal, and evaluation considerations were identified from the literature. The ideal digital contact tracing app should be voluntary and should be equitably available and accessible. User engagement could be enhanced by small financial incentives, enabling users to tailor aspects of the app to their particular needs and integrating digital contact tracing apps into the wider public health information campaign. Adherence to the principles of good data protection and privacy by design is important to convince target populations to download and use digital contact tracing apps. Bluetooth Low Energy is recommended for a digital contact tracing app's contact event detection, but combining it with ultrasound technology may improve a digital contact tracing app's accuracy. A decentralized privacy-preserving protocol should be followed to enable digital contact tracing app users to exchange and record temporary contact numbers during contact events. The ideal digital contact tracing app should define and risk-stratify contact events according to proximity, duration of contact, and the infectiousness of the case at the time of contact. Evaluating digital contact tracing apps requires data to quantify app downloads, use among COVID-19 cases, successful contact alert generation, contact alert receivers, contact alert receivers that adhere to quarantine and testing recommendations, and the number of contact alert receivers who subsequently are tested positive for COVID-19. The outcomes of digital contact tracing apps' evaluations should be openly reported to allow for the wider public to review the evaluation of the app. Conclusions In conclusion, key considerations and best practice guidance for the design of the ideal digital contact tracing app were derived from the literature.

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“…A construct validity issue [26] is that the data obtained may not be to-tally correct: User opinions may be informed by hearsay and users are not always in an ideal position to report on quality aspects like data protection, or performance [27]. To mitigate against this the analysis focused on sentiments that were more pervasive across the data-set and brought to bear considerable knowledge of the app itself, the researchers having studied it as part of the project goal to derive the pillars beforehand.…”

Section: Limitations and Threats To Validitymentioning

confidence: 99%

Sentiment Analysis of User Feedback on the HSE Contact Tracing App

Rekanar

Buckley

et al. 2020

Preprint

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Digital Contact Tracing (DCT) is seen as a key tool in reducing the propagation of viruses such as Covid-19, but it requires uptake and participation in the technology across a large proportion of the population to be eﬀective. While we observe the pervasive uptake of mobile device usage across our society, the installation and usage of contact tracing apps developed by governments and health services globally have faced diﬃculties. These diﬃculties range across the user-populations’ issues with the installation of the apps, us-ability and comprehension challenges, trust in the eﬃcacy of the technology, performance issues such as the eﬀect on battery life, and concerns about data protection and privacy. In this work, we present our findings from a comprehensive review of the online user feedback relating to the initial release of the HSE Contact Tracker app, in an eﬀort to inform later iterations and thus help sustain and potentially increase usage of the technology. While this might seem quite tightly scoped to the Irish context only, this app provides the basis for apps in many jurisdictions in the United States and Europe. Our findings suggest a largely positive sentiment towards the app, and that users thought it handled data protection and transparency aspects well. But feedback also suggested that users would appreciate more targeted feedback,more proactive engagement and also suggested that both the ‘android-battery’ issue and the backward-compatibility issue with iPhones seriously impacted retention/uptake of the app respectively.

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Towards a Taxonomy for Evaluating Societal Concerns of Contact Tracing Apps

Cited by 6 publications

References 16 publications

Digital Contact Tracing Apps for COVID-19: Development of a Citizen-Centered Evaluation Framework

Digital Contact Tracing Apps for COVID-19: Development of a Citizen-Centered Evaluation Framework

Best Practice Guidance for Digital Contact Tracing Apps: A Cross-disciplinary Review of the Literature

Sentiment Analysis of User Feedback on the HSE Contact Tracing App

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