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Published on: February 19, 2021
Population Impact Analysis: a framework for assessing the population impact of a risk or intervention
Arpana Verma1, Perihan Torun, Elizabeth Harris
1Manchester 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
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.
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