Using routine geo-coded data to identify geographical heterogeneity to reduce disparities

This paper outlines a structured argument for the use of routine health and demographic data to support the delivery of equitable services that are better aligned to the needs of the populations they serve. The paper describes case studies from a nationally funded research and quality improvement programme in London, UK as examples of targeting existing services, without top-down reconfiguration, using quality improvement methodology.Three case studies are presented each demonstrating a differing use of geocoded routine data. The first demonstrates the use of a novel composite metric for the prospective targeting of service improvement; the second shows how routine geo-coded health data can be used to support the geographical location of services; the third demonstrates how routine data can be used to evaluate the impact of improvement initiatives on disparities in healthcare. All methods provide a novel way of analyzing current service provision to ensure targeting of services where needed and contributing to the quality and cost challenges faced by healthcare providers and commissioners.