Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Rehm, Jürgen, Štelemėkas, Mindaugas, Ferreira-Borges, Carina, Jiang, Huan, Lange, Shannon, Neufeld, Maria, Room, Robin, Casswell, Sally, Tran, Alexander, Manthey, Jakob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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
_version_ 1783665903440756736
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
work_keys_str_mv AT rehmjurgen classifyingalcoholcontrolpolicieswithrespecttoexpectedchangesinconsumptionandalcoholattributableharmtheexampleoflithuania20002019
AT stelemekasmindaugas classifyingalcoholcontrolpolicieswithrespecttoexpectedchangesinconsumptionandalcoholattributableharmtheexampleoflithuania20002019
AT ferreiraborgescarina classifyingalcoholcontrolpolicieswithrespecttoexpectedchangesinconsumptionandalcoholattributableharmtheexampleoflithuania20002019
AT jianghuan classifyingalcoholcontrolpolicieswithrespecttoexpectedchangesinconsumptionandalcoholattributableharmtheexampleoflithuania20002019
AT langeshannon classifyingalcoholcontrolpolicieswithrespecttoexpectedchangesinconsumptionandalcoholattributableharmtheexampleoflithuania20002019
AT neufeldmaria classifyingalcoholcontrolpolicieswithrespecttoexpectedchangesinconsumptionandalcoholattributableharmtheexampleoflithuania20002019
AT roomrobin classifyingalcoholcontrolpolicieswithrespecttoexpectedchangesinconsumptionandalcoholattributableharmtheexampleoflithuania20002019
AT casswellsally classifyingalcoholcontrolpolicieswithrespecttoexpectedchangesinconsumptionandalcoholattributableharmtheexampleoflithuania20002019
AT tranalexander classifyingalcoholcontrolpolicieswithrespecttoexpectedchangesinconsumptionandalcoholattributableharmtheexampleoflithuania20002019
AT mantheyjakob classifyingalcoholcontrolpolicieswithrespecttoexpectedchangesinconsumptionandalcoholattributableharmtheexampleoflithuania20002019