Literature DB >> 33606658

Challenges for Nontechnical Implementation of Digital Proximity Tracing During the COVID-19 Pandemic: Media Analysis of the SwissCovid App.

Viktor von Wyl1,2.   

Abstract

BACKGROUND: Several countries have released digital proximity tracing (DPT) apps to complement manual contact tracing for combatting the SARS-CoV-2 pandemic. DPT aims to notify app users about proximity exposures to persons infected with SARS-CoV-2 so that they can self-quarantine. The success of DPT apps depends on user acceptance and the embedding of DPT into the pandemic mitigation strategy.
OBJECTIVE: By searching for media articles published during the first 3 months after DPT launch, the implementation of DPT in Switzerland was evaluated to inform similar undertakings in other countries. The second aim of the study was to create a link between reported DPT implementation challenges and normalization process theory for planning and optimizing complex digital health interventions, which can provide useful guidance for decision-making in DPT design and implementation.
METHODS: A Swiss media database was searched for articles on the Swiss DPT app (SwissCovid) published in German or French between July 4 and October 3, 2020. In a structured process, topics were extracted and clustered manually from articles that were deemed pertinent. Extracted topics were mapped to four NPT constructs, which reflected the flow of intervention development from planning, stakeholder onboarding, and execution to critical appraisal. Coherence constructs describe sense-making by stakeholders, cognitive participation constructs reflect participants' efforts to create engagement with the intervention, collective actions refer to intervention execution and joint stakeholder efforts to make the intervention work, and reflexive monitoring refers to collective risk-benefit appraisals to create improvements.
RESULTS: Out of 94 articles deemed pertinent and selected for closer inspection, 38 provided unique information on implementation challenges. Five challenge areas were identified: communication challenges, challenges for DPT to interface with other processes, fear of resource competition with established pandemic mitigation measures, unclear DPT effectiveness, and obstacles to greater user coverage and compliance. Specifically, several articles mentioned unclear DPT benefits to affect commitment and to raise fears among different health system actors regarding resource competition. Moreover, media reports indicated process interface challenges such as delays or unclear responsibilities in the notification cascade, as well as misunderstandings and unmet communication needs from health system actors. Finally, reports suggested misaligned incentives, not only for app usage by the public but also for process engagement by other actors in the app notification cascade. NPT provided a well-fitting framework to contextualize the different DPT implementation challenges and to highlight improvement strategies, namely a better alignment of stakeholder incentives, or stakeholder-specific communication to address their concerns about DPT.
CONCLUSIONS: Early experiences from one of the first adopters of DPT indicate that nontechnical implementation challenges may affect the effectiveness of DPT. The NPT analysis provides a novel perspective on DPT implementation and stresses the need for stakeholder inclusion in development and operationalization. ©Viktor von Wyl. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 26.02.2021.

Entities:  

Keywords:  COVID-19; app; digital contact tracing; digital health; digital proximity tracing; epidemiology; framework; implementation; normalization process theory; surveillance; tracing; tracking

Mesh:

Year:  2021        PMID: 33606658      PMCID: PMC7919847          DOI: 10.2196/25345

Source DB:  PubMed          Journal:  JMIR Mhealth Uhealth        ISSN: 2291-5222            Impact factor:   4.773


  5 in total

Review 1.  Best Practice Guidance for Digital Contact Tracing Apps: A Cross-disciplinary Review of the Literature.

Authors:  James O'Connell; Manzar Abbas; Sarah Beecham; Jim Buckley; Muslim Chochlov; Brian Fitzgerald; Liam Glynn; Kevin Johnson; John Laffey; Bairbre McNicholas; Bashar Nuseibeh; Michael O'Callaghan; Ian O'Keeffe; Abdul Razzaq; Kaavya Rekanar; Ita Richardson; Andrew Simpkin; Cristiano Storni; Damyanka Tsvyatkova; Jane Walsh; Thomas Welsh; Derek O'Keeffe
Journal:  JMIR Mhealth Uhealth       Date:  2021-06-07       Impact factor: 4.773

Review 2.  Considerations for the Design and Implementation of COVID-19 Contact Tracing Apps: Scoping Review.

Authors:  Esli Osmanlliu; Edmond Rafie; Sylvain Bédard; Jesseca Paquette; Genevieve Gore; Marie-Pascale Pomey
Journal:  JMIR Mhealth Uhealth       Date:  2021-06-09       Impact factor: 4.773

3.  Reasons for Nonuse, Discontinuation of Use, and Acceptance of Additional Functionalities of a COVID-19 Contact Tracing App: Cross-sectional Survey Study.

Authors:  Michel Walrave; Cato Waeterloos; Koen Ponnet
Journal:  JMIR Public Health Surveill       Date:  2022-01-14

Review 4.  Digital Contact Tracing Apps for COVID-19: Development of a Citizen-Centered Evaluation Framework.

Authors:  Damyanka Tsvyatkova; Jim Buckley; Sarah Beecham; Muslim Chochlov; Ian R O'Keeffe; Abdul Razzaq; Kaavya Rekanar; Ita Richardson; Thomas Welsh; Cristiano Storni
Journal:  JMIR Mhealth Uhealth       Date:  2022-03-11       Impact factor: 4.947

5.  Using Venn Diagrams to Evaluate Digital Contact Tracing: Panel Survey Analysis.

Authors:  Paola Daniore; Vasileios Nittas; André Moser; Marc Höglinger; Viktor von Wyl
Journal:  JMIR Public Health Surveill       Date:  2021-12-06
  5 in total

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