title: Improving the Quality of Outpatient Diabetes Care Using an Information Management System: Results From the Observational VISION Study.
abstract: BACKGROUND
  This study aimed to evaluate the effects of information management system (IMS) use with individuals with type 1 and type 2 diabetes who were treated in outpatient settings.
  
  
  METHODS
  In this 7-month, prospective, observational study, 965 adults with diabetes, mean (SD) baseline HbA1c 8.61(1.2)% (70.6[13.1] mmol/mol), were recruited from 132 outpatient care centers in Germany and Denmark. HbA1c was measured at baseline, month 4, and month 7. IMS reports were generated from uploaded self-monitored blood glucose data and therapy adjustments were documented at months 1 and 4. Hypoglycemic events were documented.
  
  
  RESULTS
  Mean (SD) HbA1c decreased from baseline in type 1 and type 2 diabetes patients at month 4 (-0.61[1.03]% (-6.7[11.3] mmol/mol), n = 213; -0.88[1.22]% (-9.6[13.3] mmol/mol), n = 589, respectively) and month 7 (-0.64[1.02]% (-7.0[11.1] mmol/mol), n = 219; -0.93[1.27]% (-10.2[13.9] mmol/mol), n = 594, respectively), all P < .0001, with no increase in hypoglycemic events. Therapy was adjusted in 106(42.7)% type 1 and 349(52.4)% type 2 diabetes patients at months 1 and 105(42.3)% type 1 and 282(42.3)% type 2 diabetes patients at month 4. Physicians used IMS reports to make therapy adjustments in 90% of patients at month 1 and 86% of patients at month 4.
  
  
  CONCLUSIONS
  Integration of the IMS into outpatient care facilitates significant improvements in glycemic control.
authors.affiliation: Roche Diagnostics Deutschland GmbH, Mannheim, Germany.
authors.forename: Joerg
authors.initials: J
authors.lastname: Weissmann
authors.affiliation: Roche Diagnostics Deutschland GmbH, Mannheim, Germany.
authors.forename: Angelika
authors.initials: A
authors.lastname: Mueller
authors.affiliation: Biometrics Department, IST GmbH, Mannheim, Germany.
authors.forename: Diethelm
authors.initials: D
authors.lastname: Messinger
authors.affiliation: CGParkin Communications, Inc, Boulder City, NV, USA chris@cgparkin.org.
authors.forename: Christopher G
authors.initials: CG
authors.lastname: Parkin
authors.affiliation: Roche Diagnostics Deutschland GmbH, Mannheim, Germany.
authors.forename: Ildiko
authors.initials: I
authors.lastname: Amann-Zalan
mesh_terms: D000328:Adult; D000368:Aged; D000553:Ambulatory Care / Q000379:methods*; D001786:Blood Glucose / Q000032:analysis; D015190:Blood Glucose Self-Monitoring / Q000379:methods; D003658:Decision Making, Computer-Assisted; D003920:Diabetes Mellitus / Q000097:blood*; D005260:Female; D006442:Glycated Hemoglobin / Q000032:analysis; D063025:Health Information Management / Q000379:methods; D006801:Humans; D008297:Male; D008875:Middle Aged; D010045:Outpatients; D011446:Prospective Studies
chemical_list: D001786:Blood Glucose; D006442:Glycated Hemoglobin; C517652:hemoglobin A1c protein, human
keywords: information management system; self-monitoring of blood glucose; type 1 diabetes; type 2 diabetes