Type 2 diabetes, cardiovascular disease and the utilisation of primary care in urban and regional settings

This article draws on data from the 2914 returned survey responses in which people provided their residential postal codes. From this information, geographic location was determined on the basis of the Australian Standard Geographical Classification. Data were subject to inferential analyses using PASW Statistics 18.0 (SPSS; Chicago, IL, USA). A series of contingency table analyses were conducted to evaluate the relationship between primary care service use and respondents? geographical locality. Contingency analyses and 2 tests were also conducted to examine the differences between rural and metropolitan frequency of GP use