title: Compliance Patterns and Utilization of e-Health for Glucose Monitoring: Standalone Internet Gateway and Tablet Device.
abstract: Knowledge regarding compliance patterns and service utilization in e-health is important for the development of effective services. To develop proper e-health, the characteristics of compliance patterns and utilization of e-health should be studied. We studied these for glucose monitoring of diabetic patients from primary clinics.
  
  
  
  Data were collected from 160 outpatients who participated in e-health for glucose monitoring funded by the Korean government. Specifically, this study focused on two device types: a standalone Internet gateway and a tablet device. The SPSS 18.0 software was used for statistical analyses of demographic characteristics, survival data, and Cox proportional hazards regression model.
  
  
  
  Standalone Internet gateway users demonstrated a more stable compliance pattern than did tablet device users. The compliance rate differed according to the device type. Typically, compliance decreases considerably around 8 months. In these results, standalone Internet gateway users utilized the service for longer periods than tablet device users. Gateway type and location also influenced utilization (p < 0.05).
  
  
  
  The service should be designed according to the device type to develop appropriate service models. Thus, service designers should understand the different characteristics of service devices. This study provides insight into compliance patterns and utilization to develop appropriate service models and service interventions depending on the device.
authors.affiliation: 1 Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.|2 The Catholic Institute for Health Management Research, College of Medicine, The Catholic University of Korea Seoul, Korea.
authors.forename: Mi Jung
authors.initials: MJ
authors.lastname: Rho
authors.affiliation: 1 Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.|3 Department of Endocrinology and Metabolism, College of Medicine, The Catholic University of Korea, Seoul, Korea.
authors.forename: Hun-Sung
authors.initials: HS
authors.lastname: Kim
authors.affiliation: 1 Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.|3 Department of Endocrinology and Metabolism, College of Medicine, The Catholic University of Korea, Seoul, Korea.
authors.forename: Kun-Ho
authors.initials: KH
authors.lastname: Yoon
authors.affiliation: 1 Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.|2 The Catholic Institute for Health Management Research, College of Medicine, The Catholic University of Korea Seoul, Korea.
authors.forename: In Young
authors.initials: IY
authors.lastname: Choi
mesh_terms: D000328:Adult; D000368:Aged; D015190:Blood Glucose Self-Monitoring / Q000295:instrumentation*; D034201:Computers, Handheld / Q000706:statistics & numerical data; D003920:Diabetes Mellitus / Q000097:blood*; D005260:Female; D006442:Glycated Hemoglobin; D006801:Humans; D020407:Internet / Q000706:statistics & numerical data*; D008055:Lipids / Q000097:blood; D008297:Male; D008875:Middle Aged; D010349:Patient Compliance / Q000706:statistics & numerical data*; D011320:Primary Health Care / Q000379:methods*; D016016:Proportional Hazards Models; D056910:Republic of Korea; D012959:Socioeconomic Factors; D017216:Telemedicine / Q000295:instrumentation*
chemical_list: D006442:Glycated Hemoglobin; D008055:Lipids
keywords: compliance pattern; diabetic patients; e-health; glucose monitoring; utilization