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Expert insights on digital contact tracing: interviews with contact tracing policy professionals in New Zealand

Digital contact tracing (DCT) is the application of digital tools to assist with identifying and informing close contacts of a COVID-19 case. DCT is a potential solution to capacity constraints of current manual contact tracing processes. Expert opinion from contact tracing professionals rarely info...

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Autores principales: Chambers, Tim, Egan, Richard, Maclennan, Karyn, Emery, Tepora, Derrett, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9255939/
https://www.ncbi.nlm.nih.gov/pubmed/35788307
http://dx.doi.org/10.1093/heapro/daac059
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author Chambers, Tim
Egan, Richard
Maclennan, Karyn
Emery, Tepora
Derrett, Sarah
author_facet Chambers, Tim
Egan, Richard
Maclennan, Karyn
Emery, Tepora
Derrett, Sarah
author_sort Chambers, Tim
collection PubMed
description Digital contact tracing (DCT) is the application of digital tools to assist with identifying and informing close contacts of a COVID-19 case. DCT is a potential solution to capacity constraints of current manual contact tracing processes. Expert opinion from contact tracing professionals rarely informs public discourse on the benefits and limitations of DCT solutions. Three focus groups were undertaken in New Zealand to understand benefits and limitations of DCT solutions from contact tracing professionals. One was with the National Investigation and Tracing Centre (NITC) and two were with Public Health Units (PHUs). Participants highlighted four key themes including: (i) equity, (ii) privacy, (iii) communication and public perception and (iv) the operational model. Participants were concerned DCT solutions could exacerbate existing health inequities due to lack of access to, or familiarity with, technology. Poor communication and public understanding of DCT were seen as a major threat to both the efficacy of DCT solutions and the wider COVID-19 response. Most importantly, end-users were cautious of the operational model for DCT data that might: (i) attempt to replace manual processes that cannot or should not be automated by technology (case investigations, follow-ups); (ii) place undue burden on citizens and (iii) increase the workload for the current system beyond its capacity, for unproven or limited benefit. To be effective, contact tracing professionals believed DCT technologies must have strong privacy safeguards, a clear and simple communication strategy, interoperability with the existing contact tracing system and a foundation of health equity.
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spelling pubmed-92559392022-07-06 Expert insights on digital contact tracing: interviews with contact tracing policy professionals in New Zealand Chambers, Tim Egan, Richard Maclennan, Karyn Emery, Tepora Derrett, Sarah Health Promot Int Article Digital contact tracing (DCT) is the application of digital tools to assist with identifying and informing close contacts of a COVID-19 case. DCT is a potential solution to capacity constraints of current manual contact tracing processes. Expert opinion from contact tracing professionals rarely informs public discourse on the benefits and limitations of DCT solutions. Three focus groups were undertaken in New Zealand to understand benefits and limitations of DCT solutions from contact tracing professionals. One was with the National Investigation and Tracing Centre (NITC) and two were with Public Health Units (PHUs). Participants highlighted four key themes including: (i) equity, (ii) privacy, (iii) communication and public perception and (iv) the operational model. Participants were concerned DCT solutions could exacerbate existing health inequities due to lack of access to, or familiarity with, technology. Poor communication and public understanding of DCT were seen as a major threat to both the efficacy of DCT solutions and the wider COVID-19 response. Most importantly, end-users were cautious of the operational model for DCT data that might: (i) attempt to replace manual processes that cannot or should not be automated by technology (case investigations, follow-ups); (ii) place undue burden on citizens and (iii) increase the workload for the current system beyond its capacity, for unproven or limited benefit. To be effective, contact tracing professionals believed DCT technologies must have strong privacy safeguards, a clear and simple communication strategy, interoperability with the existing contact tracing system and a foundation of health equity. Oxford University Press 2022-07-05 /pmc/articles/PMC9255939/ /pubmed/35788307 http://dx.doi.org/10.1093/heapro/daac059 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Chambers, Tim
Egan, Richard
Maclennan, Karyn
Emery, Tepora
Derrett, Sarah
Expert insights on digital contact tracing: interviews with contact tracing policy professionals in New Zealand
title Expert insights on digital contact tracing: interviews with contact tracing policy professionals in New Zealand
title_full Expert insights on digital contact tracing: interviews with contact tracing policy professionals in New Zealand
title_fullStr Expert insights on digital contact tracing: interviews with contact tracing policy professionals in New Zealand
title_full_unstemmed Expert insights on digital contact tracing: interviews with contact tracing policy professionals in New Zealand
title_short Expert insights on digital contact tracing: interviews with contact tracing policy professionals in New Zealand
title_sort expert insights on digital contact tracing: interviews with contact tracing policy professionals in new zealand
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9255939/
https://www.ncbi.nlm.nih.gov/pubmed/35788307
http://dx.doi.org/10.1093/heapro/daac059
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