Identifying hotspots of type 2 diabetes risk using general practice data and geospatial analysis: an approach to inform policy and practice
Date
2020
Authors
Bagheri, Nasser
Konings, Paul
Wangdi, Kinley
Parkinson, Anne
Mazumdar, Soumya
Sturgiss, Elizabeth
Lal, Aparna
Douglas, Kirsty
Glasgow, Nicholas
Journal Title
Journal ISSN
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Publisher
CSIRO Publishing
Abstract
The prevalence of type 2 diabetes (T2D) is increasing worldwide and there is a need to identify communities
with a high-risk profile and to develop appropriate primary care interventions. This study aimed to predict future T2D risk
and identify community-level geographic variations using general practices data. The Australian T2D risk assessment
(AUSDRISK) tool was used to calculate the individual T2D risk scores using 55 693 clinical records from 16 general
practices in west Adelaide, South Australia, Australia. Spatial clusters and potential ‘hotspots’ of T2D risk were examined
using Local Moran’s I and the Getis-Ord Gi* techniques. Further, the correlation between T2D risk and the socioeconomic
status of communities were mapped. Individual risk scores were categorised into three groups: low risk (34.0% of
participants), moderate risk (35.2% of participants) and high risk (30.8% of participants). Spatial analysis showed
heterogeneity in T2D risk across communities, with significant clusters in the central part of the study area. These study
results suggest that routinely collected data from general practices offer a rich source of data that may be a useful and
efficient approach for identifying T2D hotspots across communities. Mapping aggregated T2D risk offers a novel
approach to identifying areas of unmet need.
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Keywords
geographical variation, primary health care, spatial clusters, T2D risk
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Source
Australian Journal of Primary Health
Type
Journal article
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Open Access
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