Application of Geographic Information in Diabetes Care Management

Authors: Tsu-Yun Chiu*, Chi Mei Medical Center, No.901, Zhonghua Rd., Yongkang Dist., Tainan City 710, Taiwan (R.O.C.), Tsung-Hsueh Lu, Institution of Public Health, College of Medical, National Cheng Kung University, Tainan, Taiwan (R.O.C.), Tain-Junn Cheng, Chi Mei Medical Center, No.901, Zhonghua Rd., Yongkang Dist., Tainan City 710, Taiwan (R.O.C.)
Topics: Medical and Health Geography
Keywords: Geographic Information, diabetes mellitus management, care quality indicator
Session Type: Paper
Day: 4/13/2018
Start / End Time: 10:00 AM / 11:40 AM
Room: Studio 8, Marriott, 2nd Floor
Presentation File: No File Uploaded

Background: This study aims to examine the geographic clusters of macrovascular complication for diabetes mellitus (DM) and compare the care quality indicators between the hotspots and the rest of locations. Method: Addresses, demographic information and care quality indicators of DM patients in the year of 2014 were extracted from the medical information system of a medical center in Tainan City, Taiwan. Patients’ addresses were transformed and grouped into Statistical Area Level 1 (SA1). Geographic clusters of macrovascular complication for DM were been identified using Moran’s I test and LISA statistics. The association between indicators and locations were been examined using Student’s t-test. Results: 12,716 patients’ information and medical records were included. More than half of the subjects were male and between 60-79 years old. Patents with macrovascular complications comprised 75% of all patients and were clustered in 142 out of 4303 SA1. The distribution of sex was almost the same, while patients in hotspots were significantly older than other locations. The compliance of medication was similar, while the compliance of every examination in hotspots was lower. Proportion of non-macrovascular complications was insignificant between hotspots and other areas. As for the geographic differences in macrovascular complications, cardiovascular diseases and peripheral vascular disease were the most remarkable. Conclusion: This study demonstrated that there was a slight geographical difference in the outcome of DM, and the quality of care did vary by regions. Our findings would be a valuable resource for health planners and related practitioners to enhance the quality of diabetes care.

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