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Classifying Alcohol Control Policies with Respect to Expected Changes in Consumption and Alcohol-Attributable Harm: The Example of Lithuania, 2000–2019
Due 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 consum...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967552/ https://www.ncbi.nlm.nih.gov/pubmed/33801260 http://dx.doi.org/10.3390/ijerph18052419 |
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author | Rehm, Jürgen Štelemėkas, Mindaugas Ferreira-Borges, Carina Jiang, Huan Lange, Shannon Neufeld, Maria Room, Robin Casswell, Sally Tran, Alexander Manthey, Jakob |
author_facet | Rehm, Jürgen Štelemėkas, Mindaugas Ferreira-Borges, Carina Jiang, Huan Lange, Shannon Neufeld, Maria Room, Robin Casswell, Sally Tran, Alexander Manthey, Jakob |
author_sort | Rehm, Jürgen |
collection | PubMed |
description | Due 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. |
format | Online Article Text |
id | pubmed-7967552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79675522021-03-18 Classifying Alcohol Control Policies with Respect to Expected Changes in Consumption and Alcohol-Attributable Harm: The Example of Lithuania, 2000–2019 Rehm, Jürgen Štelemėkas, Mindaugas Ferreira-Borges, Carina Jiang, Huan Lange, Shannon Neufeld, Maria Room, Robin Casswell, Sally Tran, Alexander Manthey, Jakob Int J Environ Res Public Health Article Due 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. MDPI 2021-03-02 /pmc/articles/PMC7967552/ /pubmed/33801260 http://dx.doi.org/10.3390/ijerph18052419 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Rehm, Jürgen Štelemėkas, Mindaugas Ferreira-Borges, Carina Jiang, Huan Lange, Shannon Neufeld, Maria Room, Robin Casswell, Sally Tran, Alexander Manthey, Jakob Classifying Alcohol Control Policies with Respect to Expected Changes in Consumption and Alcohol-Attributable Harm: The Example of Lithuania, 2000–2019 |
title | Classifying Alcohol Control Policies with Respect to Expected Changes in Consumption and Alcohol-Attributable Harm: The Example of Lithuania, 2000–2019 |
title_full | Classifying Alcohol Control Policies with Respect to Expected Changes in Consumption and Alcohol-Attributable Harm: The Example of Lithuania, 2000–2019 |
title_fullStr | Classifying Alcohol Control Policies with Respect to Expected Changes in Consumption and Alcohol-Attributable Harm: The Example of Lithuania, 2000–2019 |
title_full_unstemmed | Classifying Alcohol Control Policies with Respect to Expected Changes in Consumption and Alcohol-Attributable Harm: The Example of Lithuania, 2000–2019 |
title_short | Classifying Alcohol Control Policies with Respect to Expected Changes in Consumption and Alcohol-Attributable Harm: The Example of Lithuania, 2000–2019 |
title_sort | classifying alcohol control policies with respect to expected changes in consumption and alcohol-attributable harm: the example of lithuania, 2000–2019 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967552/ https://www.ncbi.nlm.nih.gov/pubmed/33801260 http://dx.doi.org/10.3390/ijerph18052419 |
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