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Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors

BACKGROUND: The advent of digital technology has enabled individuals to track meaningful biometric data about themselves. This novel capability has spurred nontraditional health care organizations to develop systems that aid users in managing their health. One of the most prolific systems is Walgree...

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Autores principales: Kim, Ju Young, Wineinger, Nathan E, Taitel, Michael, Radin, Jennifer M, Akinbosoye, Osayi, Jiang, Jenny, Nikzad, Nima, Orr, Gregory, Topol, Eric, Steinhubl, Steve
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133453/
https://www.ncbi.nlm.nih.gov/pubmed/27856407
http://dx.doi.org/10.2196/jmir.6371
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author Kim, Ju Young
Wineinger, Nathan E
Taitel, Michael
Radin, Jennifer M
Akinbosoye, Osayi
Jiang, Jenny
Nikzad, Nima
Orr, Gregory
Topol, Eric
Steinhubl, Steve
author_facet Kim, Ju Young
Wineinger, Nathan E
Taitel, Michael
Radin, Jennifer M
Akinbosoye, Osayi
Jiang, Jenny
Nikzad, Nima
Orr, Gregory
Topol, Eric
Steinhubl, Steve
author_sort Kim, Ju Young
collection PubMed
description BACKGROUND: The advent of digital technology has enabled individuals to track meaningful biometric data about themselves. This novel capability has spurred nontraditional health care organizations to develop systems that aid users in managing their health. One of the most prolific systems is Walgreens Balance Rewards for healthy choices (BRhc) program, an incentivized, Web-based self-monitoring program. OBJECTIVE: This study was performed to evaluate health data self-tracking characteristics of individuals enrolled in the Walgreens’ BRhc program, including the impact of manual versus automatic data entries through a supported device or apps. METHODS: We obtained activity tracking data from a total of 455,341 BRhc users during 2014. Upon identifying users with sufficient follow-up data, we explored temporal trends in user participation. RESULTS: Thirty-four percent of users quit participating after a single entry of an activity. Among users who tracked at least two activities on different dates, the median length of participating was 8 weeks, with an average of 5.8 activities entered per week. Furthermore, users who participated for at least twenty weeks (28.3% of users; 33,078/116,621) consistently entered 8 to 9 activities per week. The majority of users (77%; 243,774/315,744) recorded activities through manual data entry alone. However, individuals who entered activities automatically through supported devices or apps participated roughly four times longer than their manual activity-entering counterparts (average 20 and 5 weeks, respectively; P<.001). CONCLUSIONS: This study provides insights into the utilization patterns of individuals participating in an incentivized, Web-based self-monitoring program. Our results suggest automated health tracking could significantly improve long-term health engagement.
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spelling pubmed-51334532016-12-12 Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors Kim, Ju Young Wineinger, Nathan E Taitel, Michael Radin, Jennifer M Akinbosoye, Osayi Jiang, Jenny Nikzad, Nima Orr, Gregory Topol, Eric Steinhubl, Steve J Med Internet Res Original Paper BACKGROUND: The advent of digital technology has enabled individuals to track meaningful biometric data about themselves. This novel capability has spurred nontraditional health care organizations to develop systems that aid users in managing their health. One of the most prolific systems is Walgreens Balance Rewards for healthy choices (BRhc) program, an incentivized, Web-based self-monitoring program. OBJECTIVE: This study was performed to evaluate health data self-tracking characteristics of individuals enrolled in the Walgreens’ BRhc program, including the impact of manual versus automatic data entries through a supported device or apps. METHODS: We obtained activity tracking data from a total of 455,341 BRhc users during 2014. Upon identifying users with sufficient follow-up data, we explored temporal trends in user participation. RESULTS: Thirty-four percent of users quit participating after a single entry of an activity. Among users who tracked at least two activities on different dates, the median length of participating was 8 weeks, with an average of 5.8 activities entered per week. Furthermore, users who participated for at least twenty weeks (28.3% of users; 33,078/116,621) consistently entered 8 to 9 activities per week. The majority of users (77%; 243,774/315,744) recorded activities through manual data entry alone. However, individuals who entered activities automatically through supported devices or apps participated roughly four times longer than their manual activity-entering counterparts (average 20 and 5 weeks, respectively; P<.001). CONCLUSIONS: This study provides insights into the utilization patterns of individuals participating in an incentivized, Web-based self-monitoring program. Our results suggest automated health tracking could significantly improve long-term health engagement. JMIR Publications 2016-11-17 /pmc/articles/PMC5133453/ /pubmed/27856407 http://dx.doi.org/10.2196/jmir.6371 Text en ©Ju Young Kim, Nathan E Wineinger, Michael Taitel, Jennifer M Radin, Osayi Akinbosoye, Jenny Jiang, Nima Nikzad, Gregory Orr, Eric Topol, Steve Steinhubl. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 17.11.2016. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Kim, Ju Young
Wineinger, Nathan E
Taitel, Michael
Radin, Jennifer M
Akinbosoye, Osayi
Jiang, Jenny
Nikzad, Nima
Orr, Gregory
Topol, Eric
Steinhubl, Steve
Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors
title Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors
title_full Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors
title_fullStr Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors
title_full_unstemmed Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors
title_short Self-Monitoring Utilization Patterns Among Individuals in an Incentivized Program for Healthy Behaviors
title_sort self-monitoring utilization patterns among individuals in an incentivized program for healthy behaviors
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5133453/
https://www.ncbi.nlm.nih.gov/pubmed/27856407
http://dx.doi.org/10.2196/jmir.6371
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