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A Mobile Computerized Decision Support System to Prevent Hypoglycemia in Hospitalized Patients With Type 2 Diabetes Mellitus.
Spat, Stephan; Donsa, Klaus; Beck, Peter; Höll, Bernhard; Mader, Julia K; Schaupp, Lukas; Augustin, Thomas; Chiarugi, Franco; Lichtenegger, Katharina M; Plank, Johannes; Pieber, Thomas R.
Afiliação
  • Spat S; 1 Health-Institute for Biomedicine and Health Sciences, Joanneum Research Forschungsgesellschaft mbh, Graz, Austria.
  • Donsa K; 1 Health-Institute for Biomedicine and Health Sciences, Joanneum Research Forschungsgesellschaft mbh, Graz, Austria.
  • Beck P; 1 Health-Institute for Biomedicine and Health Sciences, Joanneum Research Forschungsgesellschaft mbh, Graz, Austria.
  • Höll B; 2 decide Clinical Software GmbH, Graz, Austria.
  • Mader JK; 1 Health-Institute for Biomedicine and Health Sciences, Joanneum Research Forschungsgesellschaft mbh, Graz, Austria.
  • Schaupp L; 3 Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
  • Augustin T; 3 Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
  • Chiarugi F; 1 Health-Institute for Biomedicine and Health Sciences, Joanneum Research Forschungsgesellschaft mbh, Graz, Austria.
  • Lichtenegger KM; 4 Computational Medicine Laboratory, Institute of Computer Science, Foundation for Research and Technology-Hellas, Crete, Greece.
  • Plank J; 3 Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
  • Pieber TR; 3 Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
J Diabetes Sci Technol ; 11(1): 20-28, 2017 01.
Article em En | MEDLINE | ID: mdl-27810995
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. 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. 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. 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Apoio a Decisões Clínicas / Diabetes Mellitus Tipo 2 / Aplicativos Móveis / Hipoglicemia / Hipoglicemiantes / Insulina Tipo de estudo: Guideline / Prognostic_studies / Qualitative_research Limite: Female / Humans / Male Idioma: En Revista: J Diabetes Sci Technol Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Apoio a Decisões Clínicas / Diabetes Mellitus Tipo 2 / Aplicativos Móveis / Hipoglicemia / Hipoglicemiantes / Insulina Tipo de estudo: Guideline / Prognostic_studies / Qualitative_research Limite: Female / Humans / Male Idioma: En Revista: J Diabetes Sci Technol Ano de publicação: 2017 Tipo de documento: Article