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Which Components of a Smartphone Walking App Help Users to Reach Personalized Step Goals? Results From an Optimization Trial
BACKGROUND: The Assistant to Lift your Level of activitY (Ally) app is a smartphone application that combines financial incentives with chatbot-guided interventions to encourage users to reach personalized daily step goals. PURPOSE: To evaluate the effects of incentives, weekly planning, and daily s...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7291330/ https://www.ncbi.nlm.nih.gov/pubmed/32182353 http://dx.doi.org/10.1093/abm/kaaa002 |
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author | Kramer, Jan-Niklas Künzler, Florian Mishra, Varun Smith, Shawna N Kotz, David Scholz, Urte Fleisch, Elgar Kowatsch, Tobias |
author_facet | Kramer, Jan-Niklas Künzler, Florian Mishra, Varun Smith, Shawna N Kotz, David Scholz, Urte Fleisch, Elgar Kowatsch, Tobias |
author_sort | Kramer, Jan-Niklas |
collection | PubMed |
description | BACKGROUND: The Assistant to Lift your Level of activitY (Ally) app is a smartphone application that combines financial incentives with chatbot-guided interventions to encourage users to reach personalized daily step goals. PURPOSE: To evaluate the effects of incentives, weekly planning, and daily self-monitoring prompts that were used as intervention components as part of the Ally app. METHODS: We conducted an 8 week optimization trial with n = 274 insurees of a health insurance company in Switzerland. At baseline, participants were randomized to different incentive conditions (cash incentives vs. charity incentives vs. no incentives). Over the course of the study, participants were randomized weekly to different planning conditions (action planning vs. coping planning vs. no planning) and daily to receiving or not receiving a self-monitoring prompt. Primary outcome was the achievement of personalized daily step goals. RESULTS: Study participants were more active and healthier than the general Swiss population. Daily cash incentives increased step-goal achievement by 8.1%, 95% confidence interval (CI): [2.1, 14.1] and, only in the no-incentive control group, action planning increased step-goal achievement by 5.8%, 95% CI: [1.2, 10.4]. Charity incentives, self-monitoring prompts, and coping planning did not affect physical activity. Engagement with planning interventions and self-monitoring prompts was low and 30% of participants stopped using the app over the course of the study. CONCLUSIONS: Daily cash incentives increased physical activity in the short term. Planning interventions and self-monitoring prompts require revision before they can be included in future versions of the app. Selection effects and engagement can be important challenges for physical-activity apps. CLINICAL TRIAL INFORMATION: This study was registered on ClinicalTrials.gov, NCT03384550. |
format | Online Article Text |
id | pubmed-7291330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-72913302020-06-16 Which Components of a Smartphone Walking App Help Users to Reach Personalized Step Goals? Results From an Optimization Trial Kramer, Jan-Niklas Künzler, Florian Mishra, Varun Smith, Shawna N Kotz, David Scholz, Urte Fleisch, Elgar Kowatsch, Tobias Ann Behav Med Regular Articles BACKGROUND: The Assistant to Lift your Level of activitY (Ally) app is a smartphone application that combines financial incentives with chatbot-guided interventions to encourage users to reach personalized daily step goals. PURPOSE: To evaluate the effects of incentives, weekly planning, and daily self-monitoring prompts that were used as intervention components as part of the Ally app. METHODS: We conducted an 8 week optimization trial with n = 274 insurees of a health insurance company in Switzerland. At baseline, participants were randomized to different incentive conditions (cash incentives vs. charity incentives vs. no incentives). Over the course of the study, participants were randomized weekly to different planning conditions (action planning vs. coping planning vs. no planning) and daily to receiving or not receiving a self-monitoring prompt. Primary outcome was the achievement of personalized daily step goals. RESULTS: Study participants were more active and healthier than the general Swiss population. Daily cash incentives increased step-goal achievement by 8.1%, 95% confidence interval (CI): [2.1, 14.1] and, only in the no-incentive control group, action planning increased step-goal achievement by 5.8%, 95% CI: [1.2, 10.4]. Charity incentives, self-monitoring prompts, and coping planning did not affect physical activity. Engagement with planning interventions and self-monitoring prompts was low and 30% of participants stopped using the app over the course of the study. CONCLUSIONS: Daily cash incentives increased physical activity in the short term. Planning interventions and self-monitoring prompts require revision before they can be included in future versions of the app. Selection effects and engagement can be important challenges for physical-activity apps. CLINICAL TRIAL INFORMATION: This study was registered on ClinicalTrials.gov, NCT03384550. Oxford University Press 2020-03-17 /pmc/articles/PMC7291330/ /pubmed/32182353 http://dx.doi.org/10.1093/abm/kaaa002 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Society of Behavioral Medicine. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Regular Articles Kramer, Jan-Niklas Künzler, Florian Mishra, Varun Smith, Shawna N Kotz, David Scholz, Urte Fleisch, Elgar Kowatsch, Tobias Which Components of a Smartphone Walking App Help Users to Reach Personalized Step Goals? Results From an Optimization Trial |
title | Which Components of a Smartphone Walking App Help Users to Reach Personalized Step Goals? Results From an Optimization Trial |
title_full | Which Components of a Smartphone Walking App Help Users to Reach Personalized Step Goals? Results From an Optimization Trial |
title_fullStr | Which Components of a Smartphone Walking App Help Users to Reach Personalized Step Goals? Results From an Optimization Trial |
title_full_unstemmed | Which Components of a Smartphone Walking App Help Users to Reach Personalized Step Goals? Results From an Optimization Trial |
title_short | Which Components of a Smartphone Walking App Help Users to Reach Personalized Step Goals? Results From an Optimization Trial |
title_sort | which components of a smartphone walking app help users to reach personalized step goals? results from an optimization trial |
topic | Regular Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7291330/ https://www.ncbi.nlm.nih.gov/pubmed/32182353 http://dx.doi.org/10.1093/abm/kaaa002 |
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