Self-monitoring utilization patterns among individuals in an incentivized program for healthy behaviors

Ju Yong Kim, Nathan E. Wineinger, Michael Taitel, Jennifer M. Radin, Osayi Akinbosoye, Jenny Jiang, Nima Nikzad, Gregory Orr, Eric Topol, Steve Steinhubl

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article numbere292
JournalJournal of Medical Internet Research
Volume18
Issue number11
DOIs
StatePublished - 1 Nov 2016

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Keywords

  • Blood glucose self-monitoring
  • Health behavior
  • Mobile apps
  • Mobile health
  • Reward
  • Self blood pressure monitoring

Cite this

Kim, Ju Yong ; 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. In: Journal of Medical Internet Research. 2016 ; Vol. 18, No. 11.
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abstract = "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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Kim, JY, Wineinger, NE, Taitel, M, Radin, JM, Akinbosoye, O, Jiang, J, Nikzad, N, Orr, G, Topol, E & Steinhubl, S 2016, 'Self-monitoring utilization patterns among individuals in an incentivized program for healthy behaviors', Journal of Medical Internet Research, vol. 18, no. 11, e292. https://doi.org/10.2196/jmir.6371

Self-monitoring utilization patterns among individuals in an incentivized program for healthy behaviors. / Kim, Ju Yong; Wineinger, Nathan E.; Taitel, Michael; Radin, Jennifer M.; Akinbosoye, Osayi; Jiang, Jenny; Nikzad, Nima; Orr, Gregory; Topol, Eric; Steinhubl, Steve.

In: Journal of Medical Internet Research, Vol. 18, No. 11, e292, 01.11.2016.

Research output: Contribution to journalArticle

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T1 - Self-monitoring utilization patterns among individuals in an incentivized program for healthy behaviors

AU - Kim, Ju Yong

AU - Wineinger, Nathan E.

AU - Taitel, Michael

AU - Radin, Jennifer M.

AU - Akinbosoye, Osayi

AU - Jiang, Jenny

AU - Nikzad, Nima

AU - Orr, Gregory

AU - Topol, Eric

AU - Steinhubl, Steve

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KW - Reward

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