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Uptake of an Incentive-Based mHealth App: Process Evaluation of the Carrot Rewards App
BACKGROUND: Behavioral economics has stimulated renewed interest in financial health incentives worldwide. The Carrot Rewards app was developed as part of a public-private partnership to reward Canadians with loyalty points (eg, movies and groceries) for downloading the app, referring friends, and c...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470010/ https://www.ncbi.nlm.nih.gov/pubmed/28559224 http://dx.doi.org/10.2196/mhealth.7323 |
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author | Mitchell, Marc White, Lauren Oh, Paul Alter, David Leahey, Tricia Kwan, Matthew Faulkner, Guy |
author_facet | Mitchell, Marc White, Lauren Oh, Paul Alter, David Leahey, Tricia Kwan, Matthew Faulkner, Guy |
author_sort | Mitchell, Marc |
collection | PubMed |
description | BACKGROUND: Behavioral economics has stimulated renewed interest in financial health incentives worldwide. The Carrot Rewards app was developed as part of a public-private partnership to reward Canadians with loyalty points (eg, movies and groceries) for downloading the app, referring friends, and completing an average of 1 to 2 educational health quizzes per week (“micro-learning”), with long-term objectives of increasing health knowledge and encouraging healthy behaviors. OBJECTIVE: The main objective of this study was to evaluate uptake of a loyalty points-based mHealth app during the exclusive 3-month launch period in British Columbia (BC), Canada. The secondary aims were to describe the health and sociodemographic characteristics of users, as well as participation levels (eg, proportion of quizzes completed and friends referred). METHODS: The app was promoted via loyalty program email campaigns (1.64 million emails). Number of downloads and registrations (users enter age, gender, and valid BC postal code to register) were collected. Additional sociodemographics were inferred by linking postal codes with census data at the local health area (LHA) level. Health risk assessments were also deployed. Participation levels were collected over 3 months and descriptive data were presented. RESULTS: In 3 months, 67,464 individuals downloaded the app; in its first week, Carrot Rewards was the most downloaded health app in Canada. Among valid users (n=57,885; at least one quiz completed), the majority were female (62.96%; 36,446/57,885) and aged 18 to 34 years (54.34%; 31,459/57,885). More than half of the users (52.40%; 30,332/57,885) resided in LHAs where the median personal income was below the provincial average (Can $28,765). Furthermore, 64.42% (37,291/57,885) of users lived in metropolitan (ie, urban) LHAs, compared with 56.17% of the general BC population. The most prevalent risk factors were “not” meeting physical activity guidelines (72.70%; 31,765/43,692) and “not” getting the flu shot last year (67.69%; 30,286/44,739). Regarding participation, 60.05% (34,761/57,885) of users were classified as “very high” engagers (>75% quiz completion rate). CONCLUSIONS: Early results suggest that loyalty points may promote mHealth app uptake. The app was downloaded by younger females especially, and BC residents from higher and lower income regions were equally represented. Loyalty points appear to have driven participation throughout the inaugural 3-month period (ie, quiz completion). |
format | Online Article Text |
id | pubmed-5470010 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-54700102017-06-29 Uptake of an Incentive-Based mHealth App: Process Evaluation of the Carrot Rewards App Mitchell, Marc White, Lauren Oh, Paul Alter, David Leahey, Tricia Kwan, Matthew Faulkner, Guy JMIR Mhealth Uhealth Original Paper BACKGROUND: Behavioral economics has stimulated renewed interest in financial health incentives worldwide. The Carrot Rewards app was developed as part of a public-private partnership to reward Canadians with loyalty points (eg, movies and groceries) for downloading the app, referring friends, and completing an average of 1 to 2 educational health quizzes per week (“micro-learning”), with long-term objectives of increasing health knowledge and encouraging healthy behaviors. OBJECTIVE: The main objective of this study was to evaluate uptake of a loyalty points-based mHealth app during the exclusive 3-month launch period in British Columbia (BC), Canada. The secondary aims were to describe the health and sociodemographic characteristics of users, as well as participation levels (eg, proportion of quizzes completed and friends referred). METHODS: The app was promoted via loyalty program email campaigns (1.64 million emails). Number of downloads and registrations (users enter age, gender, and valid BC postal code to register) were collected. Additional sociodemographics were inferred by linking postal codes with census data at the local health area (LHA) level. Health risk assessments were also deployed. Participation levels were collected over 3 months and descriptive data were presented. RESULTS: In 3 months, 67,464 individuals downloaded the app; in its first week, Carrot Rewards was the most downloaded health app in Canada. Among valid users (n=57,885; at least one quiz completed), the majority were female (62.96%; 36,446/57,885) and aged 18 to 34 years (54.34%; 31,459/57,885). More than half of the users (52.40%; 30,332/57,885) resided in LHAs where the median personal income was below the provincial average (Can $28,765). Furthermore, 64.42% (37,291/57,885) of users lived in metropolitan (ie, urban) LHAs, compared with 56.17% of the general BC population. The most prevalent risk factors were “not” meeting physical activity guidelines (72.70%; 31,765/43,692) and “not” getting the flu shot last year (67.69%; 30,286/44,739). Regarding participation, 60.05% (34,761/57,885) of users were classified as “very high” engagers (>75% quiz completion rate). CONCLUSIONS: Early results suggest that loyalty points may promote mHealth app uptake. The app was downloaded by younger females especially, and BC residents from higher and lower income regions were equally represented. Loyalty points appear to have driven participation throughout the inaugural 3-month period (ie, quiz completion). JMIR Publications 2017-05-30 /pmc/articles/PMC5470010/ /pubmed/28559224 http://dx.doi.org/10.2196/mhealth.7323 Text en ©Marc Mitchell, Lauren White, Paul Oh, David Alter, Tricia Leahey, Matthew Kwan, Guy Faulkner. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 30.05.2017. 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 use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Mitchell, Marc White, Lauren Oh, Paul Alter, David Leahey, Tricia Kwan, Matthew Faulkner, Guy Uptake of an Incentive-Based mHealth App: Process Evaluation of the Carrot Rewards App |
title | Uptake of an Incentive-Based mHealth App: Process Evaluation of the Carrot Rewards App |
title_full | Uptake of an Incentive-Based mHealth App: Process Evaluation of the Carrot Rewards App |
title_fullStr | Uptake of an Incentive-Based mHealth App: Process Evaluation of the Carrot Rewards App |
title_full_unstemmed | Uptake of an Incentive-Based mHealth App: Process Evaluation of the Carrot Rewards App |
title_short | Uptake of an Incentive-Based mHealth App: Process Evaluation of the Carrot Rewards App |
title_sort | uptake of an incentive-based mhealth app: process evaluation of the carrot rewards app |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470010/ https://www.ncbi.nlm.nih.gov/pubmed/28559224 http://dx.doi.org/10.2196/mhealth.7323 |
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