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Behavioral economics survey of patients with type 1 and type 2 diabetes
- Source :
- Patient Preference and Adherence, Vol 2015, Iss default, Pp 649-658 (2015)
- Publication Year :
- 2015
- Publisher :
- Dove Medical Press, 2015.
-
Abstract
- Naoya Emoto,1 Fumitaka Okajima,1 Hitoshi Sugihara,2 Rei Goto3,4 1Division of Endocrinology, Department of Medicine, Nippon Medical School Chiba Hokusoh Hospital, Chiba, 2Department of Endocrinology, Diabetes and Metabolism, Graduate School of Medicine, Nippon Medical School, Tokyo, 3Hakubi Center of Advanced Research, Kyoto University, Kyoto, 4Graduate School of Economics, Kyoto University, Kyoto, Japan Background: Adherence to treatment and the metabolic control of diabetes are challenging in many patients with diabetes. The theory of neuroeconomics can provide important clues for understanding unreasonable human behavior concerning decisions between outcomes occurring at different time points. Objective: We investigated patients with type 1 and type 2 diabetes to determine whether patients who are at a risk of developing complications are less risk averse. We also examined whether patients with type 1 and type 2 diabetes have different behavioral traits in decision making under risk. Methods: We conducted a behavioral economics survey of 219 outpatients, 66 with type 1 diabetes and 153 with type 2 diabetes. All patients had been referred by general practitioners or other departments in the hospital. At the time of the survey, levels of hemoglobin A1c were not significantly different between patients with type 1 and type 2 diabetes. Results: Patients with type 2 diabetes showed a lower response rate to the survey compared with patients with type 1 diabetes (71.9% vs 87.9%, P
- Subjects :
- Medicine (General)
R5-920
Subjects
Details
- Language :
- English
- ISSN :
- 1177889X
- Volume :
- 2015
- Issue :
- default
- Database :
- Directory of Open Access Journals
- Journal :
- Patient Preference and Adherence
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.8b1107cdacdb47f4a1cb0cb043a902c8
- Document Type :
- article