Year: 2003
Type: article
Abstract: Health impact assessment (HIA) is increasingly being used to estimate the health consequences of new and existing projects and policies, but practical difficulties in obtaining quantitative information have been noted. Routine health data (such as hospital admissions) and health determinant data (such as air pollution) can be used for community profiling, and modelling and monitoring of impacts, steps common to all models of HIA. Such data are widely available, relatively cheap and there is experience in their use and interpretation, but they need careful consideration of quality, validity and statistical stability. Results should ideally use standard epidemiological measures (such as standardised rates, relative risk or attributable risks) with confidence intervals.
Authors: Anna Hansell, Paul Aylin
Institution: Imperial College London
Language: English
Subfield: Management, Monitoring, Policy and Law
Field: Environmental Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W2040948966