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Validity of predictions in health impact assessment.

Authors: Veerman, J. L.; Mackenbach, J. P.; Barendregt, J. J.;

Validity of predictions in health impact assessment.

Abstract

An essential characteristic of health impact assessment (HIA) is that it seeks to predict the future consequences of possible decisions for health. These predictions have to be valid, but as yet it is unclear how validity should be defined in HIA.To examine the philosophical basis for predictions and the relevance of different forms of validity to HIA.HIA is valid if formal validity, plausibility and predictive validity are in order. Both formal validity and plausibility can usually be established, but establishing predictive validity implies outcome evaluation of HIA. This is seldom feasible owing to long time lags, migration, measurement problems, a lack of data and sensitive indicators, and the fact that predictions may influence subsequent events. Predictive validity most often is not attainable in HIA and we have to make do with formal validity and plausibility. However, in political science, this is by no means exceptional.

Countries
Australia, Netherlands
Keywords

360, Health Planning Guidelines, Health Policy, Health Status, 730306 Evaluation of health outcomes, Reproducibility of Results, EMC NIHES-02-65-02, Public, Environmental & Occupational Health, C1, Health Status Indicators, Humans, Public Health, 321299 Public Health and Health Services not elsewhere classified, Philosophy, Medical, Policy Making, Decision Making, Organizational, Public, Environmental & Occupational Health, Forecasting

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
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