Duke University School of Nursing
Durham, North Carolina, 27710, United States
NCT Number: NCT03012074
This study will use mobile health technologies to provide everyday data to help patients and their care providers better understand illness dynamics and develop adaptive approaches to improve health outcomes in diabetes. Specifically, the study will identify strategies to help patients adapt using multiple types of self-generated diabetes-related data and help providers guide patients to better self-manage in real-time, when guidance is needed most.
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Notify Me18 year and older
All sexes
Interventional
Not applicable
Durham, North Carolina, 27710, United States
The investigators will conduct a mixed-methods exploratory designed study and recruit 60 adult patients (age ≥ 18) with type 2 diabetes who will track relevant clinical data over 6 months. Participants will be asked to use a wireless glucose monitor, a cellular body scale, and a wrist-worn accelerometer, and respond to short bi-weekly text message-based surveys on medication adherence for 6 months. Data generated from the devices will be plotted as trajectories that will allow us to conduct trajectory analyses and identify missing data points and trends leading to attrition, in order to assess the feasibility of having patients engage in this type of self-monitoring for 6 months. A subset of 20 patients will be interviewed via telephone at the end of their 6 month self-monitoring period to discuss their adaptive challenges and successes over the study period. The investigators will present the trajectories of their data during patient interviews using a visual that we will e-mail or postal mail, depending on patient preference. This will facilitate discussion of the challenges participants face in self-management and adaptive practices participants use. Following the 6 months of self-monitoring, we will conduct interviews with health care providers in which the investigators will present the data trajectories and explore ways to achieve continual communication and address real-time challenges with diabetes self-management.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Patients with Type 2 Diabetes
Time frame: 6 months
Time frame: 6 months
Time frame: 6 months
Time frame: 6 months
Data generated from the phone-tethered glucose monitor and plotted as a trajectory over a 6 month period
Time frame: 6 months
Data generated from the cellular body scale and plotted as a trajectory over a 6 month period
Time frame: 6 months
Data generated from the wrist-worn accelerometer and plotted as a trajectory over a 6 month period
Time frame: 6 months
bi-weekly text message-based surveys on medication adherence over a 6 month period.
Time frame: 2 months
Explore ways to achieve continual communication that addresses real-time challenges with diabetes self-management while presenting data trajectories during provider interviews.
Duke University
Other
From Episodic to Real-Time Care in Diabetes Self-Management
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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