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Adoption and continued use of mobile contact tracing technology: multilevel explanations from a three-wave panel survey and linked data
OBJECTIVE: To identify the key individual-level (demographics, attitudes, mobility) and contextual (COVID-19 case numbers, tiers of mobility restrictions, urban districts) determinants of adopting the NHS COVID-19 contact tracing app and continued use overtime. DESIGN AND SETTING: A three-wave panel...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764714/ https://www.ncbi.nlm.nih.gov/pubmed/35039293 http://dx.doi.org/10.1136/bmjopen-2021-053327 |
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author | Horvath, Laszlo Banducci, Susan Blamire, Joshua Degnen, Cathrine James, Oliver Jones, Andrew Stevens, Daniel Tyler, Katharine |
author_facet | Horvath, Laszlo Banducci, Susan Blamire, Joshua Degnen, Cathrine James, Oliver Jones, Andrew Stevens, Daniel Tyler, Katharine |
author_sort | Horvath, Laszlo |
collection | PubMed |
description | OBJECTIVE: To identify the key individual-level (demographics, attitudes, mobility) and contextual (COVID-19 case numbers, tiers of mobility restrictions, urban districts) determinants of adopting the NHS COVID-19 contact tracing app and continued use overtime. DESIGN AND SETTING: A three-wave panel survey conducted in England in July 2020 (background survey), November 2020 (first measure of app adoption) and March 2021 (continued use of app and new adopters) linked with official data. PARTICIPANTS: N=2500 adults living in England, representative of England’s population in terms of regional distribution, age and gender (2011 census). PRIMARY OUTCOME: Repeated measures of self-reported app usage. ANALYTICAL APPROACH: Multilevel logistic regression linking a range of individual level (from survey) and contextual (from linked data) determinants to app usage. RESULTS: We observe initial app uptake at 41%, 95% CI (0.39% to 0.43%), and a 12% drop-out rate by March 2021, 95% CI (0.10% to 0.14%). We also found that 7% of nonusers as of wave 2 became new adopters by wave 3, 95% CI (0.05% to 0.08%). Initial uptake (or failure to use) of the app associated with social norms, privacy concerns and misinformation about third-party data access, with those living in postal districts with restrictions on mobility less likely to use the app. Perceived lack of transparent evidence of effectiveness was associated with drop-out of use. In addition, those who trusted the government were more likely to adopt in wave 3 as new adopters. CONCLUSIONS: Successful uptake of the contact tracing app should be evaluated within the wider context of the UK Government’s response to the crisis. Trust in government is key to adoption of the app in wave 3 while continued use is linked to perceptions of transparent evidence. Providing clear information to address privacy concerns could increase uptake, however, the disparities in continued use among ethnic minority participants needs further investigation. |
format | Online Article Text |
id | pubmed-8764714 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-87647142022-01-18 Adoption and continued use of mobile contact tracing technology: multilevel explanations from a three-wave panel survey and linked data Horvath, Laszlo Banducci, Susan Blamire, Joshua Degnen, Cathrine James, Oliver Jones, Andrew Stevens, Daniel Tyler, Katharine BMJ Open Public Health OBJECTIVE: To identify the key individual-level (demographics, attitudes, mobility) and contextual (COVID-19 case numbers, tiers of mobility restrictions, urban districts) determinants of adopting the NHS COVID-19 contact tracing app and continued use overtime. DESIGN AND SETTING: A three-wave panel survey conducted in England in July 2020 (background survey), November 2020 (first measure of app adoption) and March 2021 (continued use of app and new adopters) linked with official data. PARTICIPANTS: N=2500 adults living in England, representative of England’s population in terms of regional distribution, age and gender (2011 census). PRIMARY OUTCOME: Repeated measures of self-reported app usage. ANALYTICAL APPROACH: Multilevel logistic regression linking a range of individual level (from survey) and contextual (from linked data) determinants to app usage. RESULTS: We observe initial app uptake at 41%, 95% CI (0.39% to 0.43%), and a 12% drop-out rate by March 2021, 95% CI (0.10% to 0.14%). We also found that 7% of nonusers as of wave 2 became new adopters by wave 3, 95% CI (0.05% to 0.08%). Initial uptake (or failure to use) of the app associated with social norms, privacy concerns and misinformation about third-party data access, with those living in postal districts with restrictions on mobility less likely to use the app. Perceived lack of transparent evidence of effectiveness was associated with drop-out of use. In addition, those who trusted the government were more likely to adopt in wave 3 as new adopters. CONCLUSIONS: Successful uptake of the contact tracing app should be evaluated within the wider context of the UK Government’s response to the crisis. Trust in government is key to adoption of the app in wave 3 while continued use is linked to perceptions of transparent evidence. Providing clear information to address privacy concerns could increase uptake, however, the disparities in continued use among ethnic minority participants needs further investigation. BMJ Publishing Group 2022-01-17 /pmc/articles/PMC8764714/ /pubmed/35039293 http://dx.doi.org/10.1136/bmjopen-2021-053327 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Public Health Horvath, Laszlo Banducci, Susan Blamire, Joshua Degnen, Cathrine James, Oliver Jones, Andrew Stevens, Daniel Tyler, Katharine Adoption and continued use of mobile contact tracing technology: multilevel explanations from a three-wave panel survey and linked data |
title | Adoption and continued use of mobile contact tracing technology: multilevel explanations from a three-wave panel survey and linked data |
title_full | Adoption and continued use of mobile contact tracing technology: multilevel explanations from a three-wave panel survey and linked data |
title_fullStr | Adoption and continued use of mobile contact tracing technology: multilevel explanations from a three-wave panel survey and linked data |
title_full_unstemmed | Adoption and continued use of mobile contact tracing technology: multilevel explanations from a three-wave panel survey and linked data |
title_short | Adoption and continued use of mobile contact tracing technology: multilevel explanations from a three-wave panel survey and linked data |
title_sort | adoption and continued use of mobile contact tracing technology: multilevel explanations from a three-wave panel survey and linked data |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764714/ https://www.ncbi.nlm.nih.gov/pubmed/35039293 http://dx.doi.org/10.1136/bmjopen-2021-053327 |
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