Paper submitted for INSPIRE 2010
Eleni Sofianopoulou, Stephen Rushton, and Tanja Pless-Mulloli
“Numerous spatial health data are collected by Primary Health Care that is provided by General Practices (GPs) in England. However their utility in environmental epidemiology is limited because they are not linked to environmental datasets. A main cause to linkage complexity is related to the fact that there are no formal boundaries that depict GP service areas, as patients can register to any GP practice of their preference. A second cause is the dissimilar spatial units that the environmental and socioeconomic data are provided in. As a consequence a source of environmental health information is under-exploited. We aimed to define a spatial unit that depicts a GP service area and examine whether the prescribing of respiratory medication per GP is related to air quality and deprivation observed within GP service areas. The two most common chronic respiratory diseases are asthma and Chronic Obstructive Pulmonary Disease (COPD). Monitoring their prevalence, risk factors and determinants is an important public health task in developing and developed countries. In England, short-acting β2-agonists is the most often prescribed medication for asthma and COPD , 93% of which is represented by salbutamol. We aimed to investigate the monthly salbutamol prescribing rate in relation to Particulate matter (PM10), traffic flows and deprivation (income, education, employment). The aim of this study is quite timely as it covers the objectives of policies relevant to exploitation of spatial data and re-use of public sector data. This study both utilises existent spatial datasets as well as re-use information from the National Health System (NHS) and Local Authorities, in a neoteric way.”