Citation

Verma A, Torun P, Harris E, Edwards R, Gemmell I, Harrison RA, Buchan IE, Davies L, Patterson L, Heller RF. J. Public Health (Oxford) 2012; 34(1): 83-89.

Affiliation

Manchester Urban Collaboration on Health, School of Translational Medicine, Manchester Academic Health Science Centre, University of Manchester, Manchester M14 7PH, UK. arpana.verma@manchester.ac.uk

Copyright

(Copyright © 2012, Oxford University Press)

DOI

10.1093/pubmed/fdr026

PMID

21482618

Abstract

BACKGROUND: To describe an organizing framework, Population Impact Analysis, for applying the findings of systematic reviews of public health literature to estimating the impact on a local population, with the aim of implementing evidence-based decision-making. METHODS: A framework using population impact measures to demonstrate how resource allocation decisions may be influenced by using evidence-based medicine and local data. An example of influenza vaccination in the over 65s in Trafford to reduce hospital admissions for chronic obstructive pulmonary disease (COPD) is used. RESULTS: The number of COPD admissions due to non-vaccination of the over 65 in Trafford was 16.4 (95% confidence interval: 13.5; 19.5) and if vaccination rates were taken up to 90%, 11.5 (95% confidence interval: 9.3; 13.8) admissions could have been prevented. A total of 705 (95% confidence interval: 611; 861) people would have to be vaccinated against influenza to prevent one hospital admission. CONCLUSIONS: Population Impact Analysis can help the 'implementation' aspect of evidence for population health. It has been developed to support public health policy makers at both local and national/international levels in their role of commissioning services.

Language: en