iDECIDE: A Mobile Application for Insulin Dosing Using an Evidence Based Equation to Account for Patient Preferences

Stud Health Technol Inform. 2015:216:93-7.

Abstract

Diabetes is a complex disease affecting 29.1 million (9.3%) US citizens [1]. It is a chronic illness that needs continual medical care and ongoing patient self-management, education, and support [2]. There is no cure for diabetes, requiring patients to conduct frequent self-monitoring of blood glucose and dosing of insulin in many cases. Evidence has shown that patients are more adherent to their diabetes management plan when they incorporate personal lifestyle choices [3]. To address the challenge of empowering patients to better manage their diabetes, we have developed a novel mobile application prototype, iDECIDE, that refines rapid-acting insulin dose calculations by incorporating two important patient variables in addition to carbohydrates consumed that are not a part of standard insulin dose calculation algorithms: exercise and alcohol intake [4, 5]. A retrospective analysis for the calibration and evaluation of iDECIDE is underway by comparing recommendations made by the application against dosing recommendations made by insulin pumps.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Computer Simulation
  • Decision Support Systems, Clinical / organization & administration*
  • Diabetes Mellitus, Type 1 / diagnosis*
  • Diabetes Mellitus, Type 1 / drug therapy*
  • Drug Therapy, Computer-Assisted / methods*
  • Evidence-Based Medicine
  • Humans
  • Hypoglycemic Agents / administration & dosage
  • Insulin / administration & dosage*
  • Mobile Applications*
  • Models, Biological
  • Patient Preference
  • Self Administration / methods
  • United States
  • User-Computer Interface

Substances

  • Hypoglycemic Agents
  • Insulin