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Clinical Trial
. 2011 Jul 1;5(4):936-44.
doi: 10.1177/193229681100500417.

Remote monitoring technologies for the prevention of metabolic syndrome: the Diabetes and Technology for Increased Activity (DaTA) study

Melanie Stuckey  1 , Robyn Fulkerson, Emily Read, Elizabeth Russell-Minda, Claudio Munoz, Peter Kleinstiver, Robert Petrella
Affiliations
Clinical Trial

Remote monitoring technologies for the prevention of metabolic syndrome: the Diabetes and Technology for Increased Activity (DaTA) study

Melanie Stuckey et al. J Diabetes Sci Technol. .

Abstract

Objectives: Remote monitoring technologies are ideally suited for rural communities with limited access to health care. In an 8-week pilot study, we examined the feasibility of implementing and conducting a technology-intensive intervention in an underserviced rural setting. Our goal was to test the utility of self-monitoring technologies, physical activity, and education as tools to manage health indicators for the development of the cardiovascular complications (CVCs) of type 2 diabetes.

Research design and methods: The Diabetes and Technology for Increased Activity study was an open single-center study conducted in a community-based research setting. All 24 participants were provided with a Blackberry™ Smartphone, blood pressure monitor, glucometer, and pedometer. Smartphones transmitted measurements and survey results to the database, interfaced participants with the clinical team, and allowed for self-monitoring.

Results: Outcomes were improved body composition, improved markers of CVC risk factors, increased daily exercise, and interest in or awareness of lifestyle changes that impact health outcomes. Participants had excellent compliance for measurements, as self-monitoring provided a sense of security that improved from week 4 to week 8.

Conclusions: Our team gained substantial insight into the operational requirements of technology-facilitated health care, including redefined hours of service; data reporting, management, and access protocols; and the utility of real-time clinical measures by remote monitoring. We developed an understanding of knowledge translation strategies as well as successful motivational and educational tools. Importantly, remote monitoring technology was found to be feasible and accepted in a rural setting.

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Figures

Figure 1
Figure 1
Schematic of self-monitoring technologies utilized and data flow for the DaTA study.
Figure 2
Figure 2
Numbers of alarms and alerts generated by the Healthanywhere database that were sent to the PI, TSS, and CT for follow-up and notification of the study participant. SBP, systolic blood pressure; DBP, diastolic blood pressure; pedometer, steps; weight, manual weight on home or clinic scale; all, BG, BP, pedometer, and weight.
Figure 3
Figure 3
Graphical output of participant self-monitored data as viewed by the participant, PI, CT, and TSS.
See this image and copyright information in PMC

References

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