J Rehm1,2,3,4,5,6, M Štelemekas7,8, R Badaras9,10. 1. Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, 33 Russell Street, Toronto, ON, Canada. 2. Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 33 Russell Street, Toronto, ON, Canada. 3. Addiction Policy, Dalla Lana School of Public Health, University of Toronto, 155 College Street, 6th floor, Toronto, ON, Canada. 4. Faculty of Medicine, Institute of Medical Science, University of Toronto, Medical Sciences Building, 1 King's College Circle, Toronto, ON, Canada. 5. Department of Psychiatry, University of Toronto, 250 College Street, 8th floor, Toronto, ON, Canada. 6. Institute of Clinical Psychology and Psychotherapy & Center of Clinical Epidemiology and Longitudinal Studies (CELOS), Technische Universität Dresden, Chemnitzer Str. 46, Dresden, Germany. 7. Health Research Institute, Faculty of Public Health, Lithuanian University of Health Sciences, Tilžės st. 18, Kaunas, Lithuania. 8. Department of Preventive Medicine, Faculty of Public Health, Lithuanian University of Health Sciences, Tilžės st. 18, Kaunas, Lithuania. 9. Clinic of Anaesthesiology and Intensive Care, Faculty of Medicine, Centre of Toxicology, Vilnius University, Šiltnamių st. 29, Vilnius, Lithuania. 10. Vilnius University Emergency Hospital, Šiltnamių st. 29, Vilnius, Lithuania.
Abstract
AIMS: To point out the importance for public health to evaluate the past policy changes (2016-2018) in Lithuania. To present a research protocol to conduct this evaluation. SHORT SUMMARY: The staggered implementation of key alcohol policies in Lithuania over the past two years offers the possibility to evaluate 'best buys' for alcohol policies for this country. Lithuania is the only country where all 'best buys' were implemented over a short period of time, so this evaluation will be unique. METHODS: Quasi-experimental design based on interrupted time-series analysis of monthly routine statistics of morbidity and mortality indicators as well as key variables on the pathway between alcohol exposure and health outcomes. CONCLUSIONS: For the public health community, results of the evaluation of these policy changes will be of critical importance.
AIMS: To point out the importance for public health to evaluate the past policy changes (2016-2018) in Lithuania. To present a research protocol to conduct this evaluation. SHORT SUMMARY: The staggered implementation of key alcohol policies in Lithuania over the past two years offers the possibility to evaluate 'best buys' for alcohol policies for this country. Lithuania is the only country where all 'best buys' were implemented over a short period of time, so this evaluation will be unique. METHODS: Quasi-experimental design based on interrupted time-series analysis of monthly routine statistics of morbidity and mortality indicators as well as key variables on the pathway between alcohol exposure and health outcomes. CONCLUSIONS: For the public health community, results of the evaluation of these policy changes will be of critical importance.
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