Geocoding Coronial Data: Tools and Techniques to Improve Data Quality

Abstract

Clinical, administrative and demographic health information is fundamental to understanding the nature of health and evaluating the effectiveness of efforts to reduce morbidity and mortality of the population. The demographic data item ‘location’ is an integral part of any injury surveillance tool or injury prevention strategy. The true value of location data can only be realised once these data have been appropriately classified and quality assured. Geocoding as a means of classifying location is increasingly used in various health fields to enable spatial analysis of data. This article reports on research carried out in Australia at the National Coroners Information System (NCIS). Trends in the use of NCIS location-based data by researchers were identified. The research also aimed to establish the factors that impacted on the quality of geocoded data and the extent of this impact. A systematic analysis of the geocoding process identified source documentation, data cleaning, and software settings as key factors impacting on data quality. Understanding and application of these processes can improve data quality and therefore inform the analysis and interpretation of these data by researchers.