Episodic to Real-Time Care in Diabetes Self-Management
| Status: | Active, not recruiting |
|---|---|
| Conditions: | Diabetes, Diabetes |
| Therapuetic Areas: | Endocrinology |
| Healthy: | No |
| Age Range: | 18 - Any |
| Updated: | 1/31/2019 |
| Start Date: | March 2, 2017 |
| End Date: | March 1, 2019 |
From Episodic to Real-Time Care in Diabetes Self-Management
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.
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.
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.
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.
Inclusion Criteria:
- ≥18 years old
- able to speak and read English
- diagnosed with type 2 diabetes mellitus
- told by their primary care provider to monitor their blood sugar daily
- owning and using a smart phone
- capable of giving informed consent
- with no pre-existing severe medical condition(s) that would interfere with study
participation (e.g., renal failure, severe orthopedic conditions or joint replacement
scheduled within 6 months, paralysis, or cancer)
Exclusion Criteria:
- active dementia or psychiatric illness
- reside in a nursing home
- participating in another self-management study
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