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Diabetes, Metabolic Syndrome and Obesity Volume 12, 2019 - Issue
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Original Research

TeDia - A Telemedicine-Based Treatment Model for Inpatient and Interprofessional Diabetes Care

Martin Röhling1 West-German Center of Diabetes and Health, Düsseldorf Catholic Hospital Group, Düsseldorf, GermanyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-2258-0582View further author information
ORCID Icon,
Marcus Redaélli2 Institute of Health Economics and Clinical Epidemiology, University Hospital of Cologne, Cologne, GermanyView further author information
,
Dusan Simic2 Institute of Health Economics and Clinical Epidemiology, University Hospital of Cologne, Cologne, GermanyView further author information
,
Kristina Lorrek2 Institute of Health Economics and Clinical Epidemiology, University Hospital of Cologne, Cologne, GermanyView further author information
,
Christina Samel3 Institute of Medical Statistics and Computational Biology, Faculty of Medicine, University of Cologne, Cologne, GermanyView further author information
,
Paul Schneider4 Düsseldorf Catholic Hospital Group, Düsseldorf, GermanyView further author information
,
Kerstin Kempf1 West-German Center of Diabetes and Health, Düsseldorf Catholic Hospital Group, Düsseldorf, GermanyORCID Iconhttps://orcid.org/0000-0003-4285-3127View further author information
ORCID Icon,
Stephanie Stock2 Institute of Health Economics and Clinical Epidemiology, University Hospital of Cologne, Cologne, GermanyView further author information
&
Stephan Martin1 West-German Center of Diabetes and Health, Düsseldorf Catholic Hospital Group, Düsseldorf, Germany;5 Faculty of Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, GermanyView further author information
 show all
Pages 2479-2487 | Published online: 29 Nov 2019

Figures & data

Figure 1 Model of the TeDia system and its interrelationships. Diabetes managers are nurses specially trained in diabetes.

Figure 1 Model of the TeDia system and its interrelationships. Diabetes managers are nurses specially trained in diabetes.

Figure 2 Frequency of diabetes-related diagnoses. Illustrated are absolute changes from 2010 to 2014 regarding (A) secondary diagnosis diabetes, (B) uncomplicated diabetes, (C) complicated diabetes, (D) decompensated diabetes, (E) neuropathy and (F) nephropathy.

Figure 2 Frequency of diabetes-related diagnoses. Illustrated are absolute changes from 2010 to 2014 regarding (A) secondary diagnosis diabetes, (B) uncomplicated diabetes, (C) complicated diabetes, (D) decompensated diabetes, (E) neuropathy and (F) nephropathy.

Figure 3 Length and relative change of hospital stay. Illustrated are the (A) absolute values and (B) the relative change of time from 2010 to 2014 regarding the average hospital stay for patients with or without diabetes.

Figure 3 Length and relative change of hospital stay. Illustrated are the (A) absolute values and (B) the relative change of time from 2010 to 2014 regarding the average hospital stay for patients with or without diabetes.

Figure 4 Treatment quality and revenues. Both graphs show the (A) absolute change of HbA1c determination and (B) revenues by adjusted coding from 2010 to 2014.

Figure 4 Treatment quality and revenues. Both graphs show the (A) absolute change of HbA1c determination and (B) revenues by adjusted coding from 2010 to 2014.

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