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Information and decision support needs in patients with type 2 diabetes
Nina Weymann1, Martin Härter2, Jörg Dirmaier2
1University Medical Center Hamburg-Eppendorf, Germany n.weymann@uke.de.
Patients with type 2 diabetes often lack knowledge and seek online health information. An interactive application should personalize content, especially regarding insulin treatment, to meet their diverse needs.
Area of Science:
- Digital Health
- Health Communication
- Diabetes Management
Background:
- Diabetes mellitus presents a significant and growing global health challenge.
- The internet serves as a crucial resource for health information and support for individuals with diabetes.
- Understanding patient needs is vital for developing effective digital health interventions.
Purpose of the Study:
- To assess the characteristics, information needs, and decision support requirements of patients with type 2 diabetes.
- To inform the development of an Interactive Health Communication Application tailored to patient needs.
- To identify key areas for online health information and decision support.
Main Methods:
- A two-step needs assessment involving semi-structured interviews with patients and physicians.
- Development and administration of a self-assessment questionnaire to a larger sample of type 2 diabetes patients (N=178).
- Descriptive data analysis of questionnaire responses covering internet use, diabetes knowledge, decision-making, and information needs.
Main Results:
- A significant portion of patients (61.7%) use the internet for health information, with many accessing it monthly.
- Diabetes knowledge among respondents was generally low, with only 1.9% answering all knowledge questions correctly.
- Key information needs focused on diabetes complications, blood glucose control, and basic diabetes information, with insulin treatment being a particularly difficult decision.
Conclusions:
- The internet is a viable channel for reaching individuals with type 2 diabetes.
- The heterogeneity in patient knowledge necessitates personalized content in digital health applications.
- Future applications should address specific information gaps, particularly concerning insulin therapy, and support shared decision-making.
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