Modular ICT-based patient empowerment framework for self-management of diabetes: Design perspectives and validation results

Download

index.pdf

Date

2016-07-01

Author

Lamprinos, Illias
Demski, Hans
Mantwill, Sarah
Kabak, Yildiray
Hildebrand, Claudia
Ploessnig, Manuela

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

169
views

0
downloads

Introduction: It is estimated that more than 382 million people suffer from diabetes across the globe, most of which are between the age of 40 and 59 years. ICT can play a key role in better management of diabetes and in patient empowerment. Patient empowerment involves patients to a greater extent in their own healthcare process and disease management becomes an integrated part of their daily life. Self-management opens the possibility for patients to contribute to their own healthcare as well as to be more in control of their disease. Objectives: The objective of our study was to explore the impact of an ICT-based patient empowerment framework in diabetes self-management.

Subject Keywords

Diabetes, Self-management, Disease management, Patient portal, Mobile app, Physical activity, Nutrition, Patient empowerment

URI

https://hdl.handle.net/11511/68231

Journal

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

DOI

https://doi.org/10.1016/j.ijmedinf.2016.04.006

Collections

Unclassified, Article

Suggestions

OpenMETU
Core

IMPLEMENTATION OF A PATIENT EMPOWERMENT PLATFORM FOR INTEGRATED CARE Sarıgül, Bünyamin; Aydın Son, Yeşim; Laleci Ertürkmen, Gökçe Banu; Department of Bioinformatics (2022-2-11) While the number of chronic disease patients are increasing with the aging population, their complex treatments are a burden in today’s healthcare systems both economically and technically. Integrated care systems are one of the most powerful modern technologies to overcome these difficulties and provide more efficient treatments. Integrated care enables planning the chronic disease treatments in a sustainable and collaborative way for healthcare professionals from various disciplinaries. It also helps care...
Prediction of insulin resistance by statistical tool MARS Örsçelik, Simge Gökçe; Weber, Gerhard Wilhelm; Osterhoff, Martin; Department of Bioinformatics (2014) Recently, following the rise in obesity prevalence, the incidence of type 2 diabetes rose remarkably. Diabetes is a serious disorder, accompanied by increased risk of developing heart disease, kidney failure, and new cases of blindness. Dietary habits are strongly related to type 2 diabetes. We sought to observe how dietary protein and glycemic index patterns, weight change and/or other predictors we selected relate to insulin resistance change. First, we applied multiple linear regression, and then statist...
Virtual Heart Models: Multi-Physics Approaches to Computational Cardiology (VHEART) Göktepe, Serdar(2015-8-31) Heart disease is the number one cause of death in industrialized nations. Despite the broad class of treatment techniques such as medication, surgery and tissue-engineered therapies, heart disease remains to be one of the most frequent, disabling, and life-threatening diseases. In Europe it accounts for almost half of overall annual mortality rate. In the European Union (EU) alone, cardiovascular disease causes over 2 million deaths per year. The cost of cardiovascular disease to the EU economy is €192 bill...
Discovering missing heritability and early risk prediction for type 2 diabetes: a new perspective for genome-wide association study analysis with the Nurses' Health Study and the Health Professionals' Follow-Up Study Gul, Husamettin; Aydın Son, Yeşim; Acikel, Cengizhan (2014-12-01) Background/aim: Despite the rise in type 2 diabetes prevalence worldwide, we do not have a method for early risk prediction. The predictive ability of genetic models has been found to be little or negligible so far. In this study, we aimed to develop a better early risk prediction method for type 2 diabetes.
Evaluation of physical activity policies and practices at preschool settings Hürmeriç Altunsöz, Irmak; Öztürk, Mehmet Ata (2017-04-23) The prevalence of overweight in children has become a serious public health problem in the world. Data from the World Health Organization (WHO) reported that 41 million preschool children were overweight in 2014. It is indicated that overweight is a major problem and physical activity policies are needed to help children develop healthy behaviors. Active Start Guidelines (NASPE) and Turkey Physical activity guideline emphasize that young children should participate in daily one-hour structured and onehour u...

Citation Formats

I. Lamprinos, H. Demski, S. Mantwill, Y. Kabak, C. Hildebrand, and M. Ploessnig, “Modular ICT-based patient empowerment framework for self-management of diabetes: Design perspectives and validation results,” INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, pp. 31–43, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/68231.