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Observational Study
. 2015 Jul 29;10(1):76-84.
doi: 10.1177/1932296815595984.

Improving the Quality of Outpatient Diabetes Care Using an Information Management System: Results From the Observational VISION Study

Affiliations
Observational Study

Improving the Quality of Outpatient Diabetes Care Using an Information Management System: Results From the Observational VISION Study

Joerg Weissmann et al. J Diabetes Sci Technol. .

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.

Keywords: information management system; self-monitoring of blood glucose; type 1 diabetes; type 2 diabetes.

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Conflict of interest statement

Declaration of Conflicting Interests: The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: DM and CGP received consulting fees from Roche Diagnostics GmbH. JW, AM, and IA are employees of Roche Diagnostics GmbH.

Figures

Figure 1.
Figure 1.
Example of IMS trend graph reports. The trend graphs identify and presents patterns of blood glucose levels for all days over a specified period of time (eg, total, weekly, daily). The detailed style (A) presents glucose data in a linear format with each test result plotted along a time axis according to the time when the test was performed. The trend style (B) presents test results within a certain period assigned to that time block; the figures displayed are the mean value, variance, and minimum/maximum of those test results.
Figure 2.
Figure 2.
Change in mean HbA1c over time.
Figure 3.
Figure 3.
Physician opinion of glycemic control.

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