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A Mobile Computerized Decision Support System to Prevent Hypoglycemia in Hospitalized Patients With Type 2 Diabetes Mellitus.

Authors :
Spat S
Donsa K
Beck P
Höll B
Mader JK
Schaupp L
Augustin T
Chiarugi F
Lichtenegger KM
Plank J
Pieber TR
Source :
Journal of diabetes science and technology [J Diabetes Sci Technol] 2017 Jan; Vol. 11 (1), pp. 20-28. Date of Electronic Publication: 2016 Nov 03.
Publication Year :
2017

Abstract

Background: Diabetes management requires complex and interdisciplinary cooperation of health care professionals (HCPs). To support this complex process, IT-support is recommended by clinical guidelines. The aim of this article is to report on results from a clinical feasibility study testing the prototype of a mobile, tablet-based client-server system for computerized decision and workflow support (GlucoTab®) and to discuss its impact on hypoglycemia prevention.<br />Methods: The system was tested in a monocentric, open, noncontrolled intervention study in 30 patients with type 2 diabetes mellitus (T2DM). The system supports HCPs in performing a basal-bolus insulin therapy. Diabetes therapy, adverse events, software errors and user feedback were documented. Safety, efficacy and user acceptance of the system were investigated.<br />Results: Only 1.3% of blood glucose (BG) measurements were <70 mg/dl and only 2.6% were >300 mg/dl. The availability of the system (97.3%) and the rate of treatment activities documented with the system (>93.5%) were high. Only few suggestions from the system were overruled by the users (>95.7% adherence). Evaluation of the 3 anonymous questionnaires showed that confidence in the system increased over time. The majority of users believed that treatment errors could be prevented by using this system.<br />Conclusions: Data from our feasibility study show a significant reduction of hypoglycemia by implementing a computerized system for workflow and decision support for diabetes management, compared to a paper-based process. The system was well accepted by HCPs, which is shown in the user acceptance analysis and that users adhered to the insulin dose suggestions made by the system.

Details

Language :
English
ISSN :
1932-2968
Volume :
11
Issue :
1
Database :
MEDLINE
Journal :
Journal of diabetes science and technology
Publication Type :
Academic Journal
Accession number :
27810995
Full Text :
https://doi.org/10.1177/1932296816676501