Mapping expected disease and risk factor prevalence
PHE ePoster Library. Robotham J. Apr 9, 2019; 257472; 15282
Josh Robotham
Josh Robotham
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Abstract Prevalence information for risk factors, diseases and disabilities are frequently required by decision makers working in public health. There are many prevalence indicators available at local authority and GP practice level but fewer are available for locality geographies, such as Lower Super Output Areas. There are limited options available for public health teams to collect this information if it is not included within routine data, as surveys are costly, commissioned models take time, and there may be limited access to other data sources.The purpose of this project has been to obtain prevalence estimates from studies, published national data and a representative sample of electronic medical records in England to produce a combined database of expected prevalence estimates which can be applied to any population.The database has been built up as a pragmatic tool to provide new insights into variation in current prevalence and is made available via a ready reckoner, which is being developed by a PHE Fellowship to include a more systematic approach to the identification of prevalence estimates.This data are intended to reduce duplication of effort by removing the need for each individual public health team to source prevalence estimates. By organising the data it is possible to combine it with other information such as disease incidence, co-morbidities, Global Burden of Disease, cost and population projections to increase functionality further.Using these resources public health teams can prioritise populations in their area and explore expected prevalence in detail at small area for a wider range of conditions, using one place to look for consistent prevalence data.
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