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Mobile health technology as a solution to self-control problems: The behavioral impact of COVID-19 contact tracing apps in Japan
RATIONALE: Mobile technology has been widely utilized as an effective healthcare tool during the COVID-19 pandemic. Notably, over 50 countries have released contact-tracing apps to trace and contain infection chains. While earlier studies have examined obstacles to app uptake and usage, whether and...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192110/ https://www.ncbi.nlm.nih.gov/pubmed/35716553 http://dx.doi.org/10.1016/j.socscimed.2022.115142 |
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author | Shoji, Masahiro Cato, Susumu Ito, Asei Iida, Takashi Ishida, Kenji Katsumata, Hiroto McElwain, Kenneth Mori |
author_facet | Shoji, Masahiro Cato, Susumu Ito, Asei Iida, Takashi Ishida, Kenji Katsumata, Hiroto McElwain, Kenneth Mori |
author_sort | Shoji, Masahiro |
collection | PubMed |
description | RATIONALE: Mobile technology has been widely utilized as an effective healthcare tool during the COVID-19 pandemic. Notably, over 50 countries have released contact-tracing apps to trace and contain infection chains. While earlier studies have examined obstacles to app uptake and usage, whether and how this uptake affects users’ behavioral patterns is not well understood. This is crucial because uptake can theoretically increase or decrease behavior that carries infection risks. OBJECTIVE: The goal of this study is to evaluate the impact of app uptake on the time spent out of home in Japan. It tests four potential underlying mechanisms that drive the uptake effect: compliance with stay-at-home requirements, learning about infection risk, reminders, and commitment device. METHOD: We use unique nationwide survey data collected from 4,379 individuals aged between 20 and 69 in December 2020 and February 2021 in Japan. Japan has features suitable for this exercise. The Japanese government released a contact tracing app in June 2020, which sends a warning message to users who have been in close contact with an infected person. We conduct a difference-in-differences estimation strategy combined with the entropy balancing method. RESULTS: App uptake reduces the time spent out of home. Sensitivity analysis shows that it cannot be explained by unobserved confounders. Importantly, the impact is large even among users who have not received a warning message from the app, and even larger for those with poor self-control ability. Furthermore, individuals’ self-control ability is negatively associated with the uptake decision, supporting our hypothesis that the apps serve as a commitment device. CONCLUSIONS: It may be beneficial to encourage citizens to uptake contact tracing apps and other forms of commitment devices. This study also contributes to the literature on mobile health (mHealth) by demonstrating its efficacy as a commitment device. |
format | Online Article Text |
id | pubmed-9192110 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91921102022-06-14 Mobile health technology as a solution to self-control problems: The behavioral impact of COVID-19 contact tracing apps in Japan Shoji, Masahiro Cato, Susumu Ito, Asei Iida, Takashi Ishida, Kenji Katsumata, Hiroto McElwain, Kenneth Mori Soc Sci Med Article RATIONALE: Mobile technology has been widely utilized as an effective healthcare tool during the COVID-19 pandemic. Notably, over 50 countries have released contact-tracing apps to trace and contain infection chains. While earlier studies have examined obstacles to app uptake and usage, whether and how this uptake affects users’ behavioral patterns is not well understood. This is crucial because uptake can theoretically increase or decrease behavior that carries infection risks. OBJECTIVE: The goal of this study is to evaluate the impact of app uptake on the time spent out of home in Japan. It tests four potential underlying mechanisms that drive the uptake effect: compliance with stay-at-home requirements, learning about infection risk, reminders, and commitment device. METHOD: We use unique nationwide survey data collected from 4,379 individuals aged between 20 and 69 in December 2020 and February 2021 in Japan. Japan has features suitable for this exercise. The Japanese government released a contact tracing app in June 2020, which sends a warning message to users who have been in close contact with an infected person. We conduct a difference-in-differences estimation strategy combined with the entropy balancing method. RESULTS: App uptake reduces the time spent out of home. Sensitivity analysis shows that it cannot be explained by unobserved confounders. Importantly, the impact is large even among users who have not received a warning message from the app, and even larger for those with poor self-control ability. Furthermore, individuals’ self-control ability is negatively associated with the uptake decision, supporting our hypothesis that the apps serve as a commitment device. CONCLUSIONS: It may be beneficial to encourage citizens to uptake contact tracing apps and other forms of commitment devices. This study also contributes to the literature on mobile health (mHealth) by demonstrating its efficacy as a commitment device. Elsevier Ltd. 2022-08 2022-06-13 /pmc/articles/PMC9192110/ /pubmed/35716553 http://dx.doi.org/10.1016/j.socscimed.2022.115142 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Shoji, Masahiro Cato, Susumu Ito, Asei Iida, Takashi Ishida, Kenji Katsumata, Hiroto McElwain, Kenneth Mori Mobile health technology as a solution to self-control problems: The behavioral impact of COVID-19 contact tracing apps in Japan |
title | Mobile health technology as a solution to self-control problems: The behavioral impact of COVID-19 contact tracing apps in Japan |
title_full | Mobile health technology as a solution to self-control problems: The behavioral impact of COVID-19 contact tracing apps in Japan |
title_fullStr | Mobile health technology as a solution to self-control problems: The behavioral impact of COVID-19 contact tracing apps in Japan |
title_full_unstemmed | Mobile health technology as a solution to self-control problems: The behavioral impact of COVID-19 contact tracing apps in Japan |
title_short | Mobile health technology as a solution to self-control problems: The behavioral impact of COVID-19 contact tracing apps in Japan |
title_sort | mobile health technology as a solution to self-control problems: the behavioral impact of covid-19 contact tracing apps in japan |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192110/ https://www.ncbi.nlm.nih.gov/pubmed/35716553 http://dx.doi.org/10.1016/j.socscimed.2022.115142 |
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