Drivers of Algorithm/Technology Use In Type 1 Diabetes Self-Management

Lead Investigator: Wilson Lin, Santa Clara University
Title of Proposal Research: Drivers of Algorithm/Technology Use In Type 1 Diabetes Self-Management
Vivli Data Request: 8953
Funding Source: None
Potential Conflicts of Interest: None

Summary of the Proposed Research:

By understanding what leads individuals to avoid or use algorithms/technologies (e.g., insulin pumps, bolus calculators, CGMs, etc.) we can design better interventions/processes to encourage their use and improve patient outcomes.

Requested Studies:

Type 1 Diabetes EXercise Initiative: The Effect of Exercise on Glycemic Control in Type 1 Diabetes Study
Data Contributor: Jaeb Center for Health Research Foundation, Inc.
Study ID: T1-DEXI
Sponsor ID: T1-DEXI

Type 1 Diabetes EXercise Initiative Pediatric Study (T1DexiP): The Effect of Exercise on Glycemic Control in Youth with Type 1 Diabetes
Data Contributor: Jaeb Center for Health Research Foundation, Inc.
Study ID: T1-DEXIP
Sponsor ID: T1-DEXIP