Skip to content

Prediction Using Connected Technologies for Diabetes

Prediction Using a Randomized Evaluation of Data Collection Integrated Through Connected Technologies for Diabetes Management

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03544320
Acronym
PREDICT-DM
Enrollment
186
Registered
2018-06-01
Start date
2018-07-09
Completion date
2019-08-01
Last updated
2019-08-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pre-Diabetes

Keywords

Pre-diabetes, diabetes, wearable devices, mobile health

Brief summary

In this study, adults with pre-diabetes will be prospectively enrolled for data collection to design prediction models that integrate electronic health record data and patient-generated activity data. Patients will be randomized to receive either a waist-worn or wrist-worn wearable device for 6 months to capture patient-generated activity data.

Detailed description

Patients with suboptimal glycemic control could be better managed if these higher risk patients could be identified and effective interventions were then targeted towards them. However, most practice settings perform infrequent laboratory testing every 3 to 6 months, if not at longer intervals. Current models to predict change in glycemic control perform poorly and do not take into account the behaviors that occur between these intervals. In this study, we will compare different methods to use data on daily health behaviors collected by wearable devices to enhance risk prediction models. Adults with pre-diabetes will complete a series of surveys and baseline assessments and then will be randomly assigned to use a waist-worn or wrist-worn wearable device for 6 months. Measures of HbA1c and LDL will be obtained at baseline and at 6 months.

Interventions

DEVICEActivity Monitoring-Wrist worn wearable

Participants wear an activity monitor on their wrist.

DEVICEActivity Monitoring-Waist-worn wearable

Participants wear an activity monitor on their waist.

Sponsors

University of Pennsylvania
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
DOUBLE (Investigator, Outcomes Assessor)

Masking description

The participants will be aware of the two different study arms and the wearable devices used in both. The study investigator will not have not have knowledge of the participants assigned to each arm.

Intervention model description

Participants are randomized to one of two wearable devices and will wear that device for the duration of the study.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

1. Be 18 years or older 2. Be able to provide informed consent 3. Have a smartphone or tablet compatible with the wearable device smartphone application and be willing to use the wearable device for 6 months 4. Baseline hemoglobin A1c of 5.7 to 6.4

Exclusion criteria

Participants will no be eligible if they have any medical condition or other reason that will likely prohibit them from completing the 6-month study

Design outcomes

Primary

MeasureTime frameDescription
Change in hemoglobin A1c6 monthsChange in hemoglobin A1c from baseline to 6 months

Secondary

MeasureTime frameDescription
Change in low-density lipoprotein (LDL) levels6 monthsChange in LDL level from baseline to 6 months

Other

MeasureTime frameDescription
Hospitalization6 monthsAdmission to the hospital

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026