Feasibility study of geospatial mapping of chronic disease risk to inform public health commissioning.

ABSTRACT:

Objective

To explore the feasibility of producing small-area geospatial maps of chronic disease risk for use by clinical commissioning groups and public health teams.

Study design

Cross-sectional geospatial analysis using routinely collected general practitioner electronic record data.

Sample and setting

Tower Hamlets, an inner-city district of London, UK, characterised by high socioeconomic and ethnic diversity and high prevalence of non-communicable diseases.

Methods

The authors used type 2 diabetes as an example. The data set was drawn from electronic general practice records on all non-diabetic individuals aged 25-79 years in the district (n=163 275). The authors used a validated instrument, QDScore, to calculate 10-year risk of developing type 2 diabetes.

SUBMITTER: Noble D 

PROVIDER: S-EPMC3282296 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature