Developing policy analytics for public health strategy and decisions—the Sheffield alcohol policy model framework
| Autor: | Daniel Hill-Macmanus, Yang Meng, Robin C. Purshouse, Rachid Rafia, Petra Meier, Alan Brennan |
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| Jazyk: | angličtina |
| Předmět: |
Decision support system
medicine.medical_specialty Analytics media_common.quotation_subject Population 030508 substance abuse General Decision Sciences Management Science and Operations Research Article Policy evaluation 03 medical and health sciences 0302 clinical medicine medicine Economics 030212 general & internal medicine education media_common Valuation (finance) Decision Sciences(all) Harm reduction education.field_of_study Modelling methodology Public health Public economics business.industry Public relations Unemployment Absenteeism 0305 other medical science business |
| Zdroj: | Annals of Operations Research |
| ISSN: | 0254-5330 |
| DOI: | 10.1007/s10479-013-1451-z |
| Popis: | This paper sets out the development of a methodological framework for detailed evaluation of public health strategies for alcohol harm reduction to meet UK policy-makers needs. Alcohol is known to cause substantial harms, and controlling its affordability and availability are effective policy options. Analysis and synthesis of a variety of public and commercial data sources is needed to evaluate impact on consumers, health services, crime, employers and industry, so a sound evaluation of impact is important. We discuss the iterative process to engage with stakeholders, identify evidence/data and develop analytic approaches and produce a final model structure. We set out a series of steps in modelling impact including: classification and definition of population subgroups of interest, identification and definition of harms and outcomes for inclusion, classification of modifiable components of risk and their baseline values, specification of the baseline position on policy variables especially prices, estimating effects of changing policy variables on risk factors including price elasticities, quantifying risk functions relating risk factors to harms including 47 health conditions, crimes, absenteeism and unemployment, and monetary valuation. The most difficult model structuring decisions are described, as well as the final results framework used to provide decision support to national level policymakers in the UK. In the discussion we explore issues around the relationship between modelling and policy debates, valuation and scope, limitations of evidence/data, how the framework can be adapted to other countries and decisions. We reflect on the approach taken and outline ongoing plans for further development. |
| Databáze: | OpenAIRE |
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