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J Med Internet Res. 2016 Nov 17;18(11):e292.

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

Author information

1
Department of Family Medicine, Seoul National University Bundang Hospital, Seongnam-si, Republic Of Korea.
2
Scripps Translational Science Institute, La Jolla, CA, United States.
3
Health Analytics, Research & Reporting, Walgreen Company, Deerfield, IL, United States.
4
Department of Digital Health, Scripps Translational Science Institute, La Jolla, CA, United States.
5
Digital Health, Walgreen Company, Bellevue, WA, United States.

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.

KEYWORDS:

blood glucose self-monitoring; health behavior; mobile apps; mobile health; reward; self blood pressure monitoring

PMID:
27856407
PMCID:
PMC5133453
DOI:
10.2196/jmir.6371
[Indexed for MEDLINE]
Free PMC Article

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