Classifying Alcohol Control Policies with Respect to Expected Changes in Consumption and Alcohol-Attributable Harm: The Example of Lithuania, 2000-2019

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dc.citation.issue5
dc.citation.volume18
dc.contributor.authorRehm J
dc.contributor.authorŠtelemėkas M
dc.contributor.authorFerreira-Borges C
dc.contributor.authorJiang H
dc.contributor.authorLange S
dc.contributor.authorNeufeld M
dc.contributor.authorRoom R
dc.contributor.authorCasswell S
dc.contributor.authorTran A
dc.contributor.authorManthey J
dc.contributor.editorEfird JT
dc.coverage.spatialSwitzerland
dc.date.accessioned2023-08-30T02:49:20Z
dc.date.accessioned2023-09-04T01:41:53Z
dc.date.available2021-03-02
dc.date.available2023-08-30T02:49:20Z
dc.date.available2023-09-04T01:41:53Z
dc.date.issued2021-03-02
dc.date.updated2023-08-24T23:19:21Z
dc.descriptionCopyright: © 2021 by the authors.en_US
dc.description.abstractDue to the high levels of alcohol use, alcohol-attributable mortality and burden of disease, and detrimental drinking patterns, Lithuania implemented a series of alcohol control policies within a relatively short period of time, between 2008 and 2019. Based on their expected impact on alcohol consumption and alcohol-attributable harm, as well as their target population, these policies have been classified using a set of objective criteria and expert opinion. The classification criteria included: positive vs. negative outcomes, mainly immediate vs. delayed outcomes, and general population vs. specific group outcomes. The judgement of the alcohol policy experts converged on the objective criteria, and, as a result, two tiers of intervention were identified: Tier 1-highly effective general population interventions with an anticipated immediate impact; Tier 2-other interventions aimed at the general population. In addition, interventions directed at specific populations were identified. This adaptable methodological approach to alcohol control policy classification is intended to provide guidance and support for the evaluation of alcohol policies elsewhere, to lay the foundation for the critical assessment of the policies to improve health and increase life expectancy, and to reduce crime and violence.
dc.description.confidentialfalse
dc.edition.editionMarch 2021
dc.format.extent1-13
dc.identifierARTN 2419
dc.identifierijerph18052419
dc.identifierhttps://www.ncbi.nlm.nih.gov/pubmed/33801260
dc.identifier.citationRehm J, Štelemėkas M, Ferreira-Borges C, Jiang H, Lange S, Neufeld M, Room R, Casswell S, Tran A, Manthey J. (2021). Classifying Alcohol Control Policies with Respect to Expected Changes in Consumption and Alcohol-Attributable Harm: The Example of Lithuania, 2000-2019.. Int J Environ Res Public Health. 18. 5. (pp. 1-13).
dc.identifier.doi10.3390/ijerph18052419
dc.identifier.eissn1660-4601
dc.identifier.elements-typejournal-article
dc.identifier.harvestedMassey_Dark
dc.identifier.issn1661-7827
dc.identifier.urihttp://hdl.handle.net/10179/20032
dc.languageeng
dc.publisherMDPI (Basel, Switzerland)
dc.publisher.urihttps://www.mdpi.com/1660-4601/18/5/2419
dc.relation.isPartOfInt J Environ Res Public Health
dc.rightsCC BYen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.subjectLithuania
dc.subjectalcohol control policy
dc.subjectavailability
dc.subjectbest buys
dc.subjectclassification
dc.subjectevaluation
dc.subjectmarketing
dc.subjecttaxation
dc.subjectAlcohol Drinking
dc.subjectEthanol
dc.subjectHealth Behavior
dc.subjectHumans
dc.subjectLithuania
dc.subjectPublic Policy
dc.titleClassifying Alcohol Control Policies with Respect to Expected Changes in Consumption and Alcohol-Attributable Harm: The Example of Lithuania, 2000-2019
dc.typeJournal article
pubs.elements-id441863
pubs.organisational-groupOther
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