“Population Acceptability of Policies on Policies to Control the Harmful Use of Alcohol: a discrete choice experiment”
“Policy Analysis, Alcohol Drinking, Alcohol Use Disorder, Drug and Narcotic Control, Utility Theory
“Alcohol use is a significant risk factor for a population between 15 and 49 years old, with an economic impact on health systems, individuals, and society. Up to three million annual deaths are attributable to alcohol worldwide, and 131.4 million Disability Adjusted Life Years (DALYs). In Brazil, per capita alcohol use is around 7.8 liters of pure alcohol, with a prevalence of harmful use around 17.1% in 2019. In addition to the harm entirely attributable to the harmful use of alcohol, such as dependence and intoxication, alcohol is associated with more than 200 harms, including several types of cancer, violence, suicide, and infectious diseases. The United Nations signed a commitment to the Sustainable Development Goals, including target 3.5 for preventing and treating alcoholrelated disorders. The World Health Organization (WHO) SAFER initiative recommends that countries include cost-effective strategies to control alcohol use, including screening, brief intervention, and treatment for alcohol in critical populations such as people living with HIV/AIDS (Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome) and people with tuberculosis. Anthropological studies seek to treat alcohol use as a social fact. At the same time, epidemiology focuses on related diseases and their transcendence mirroring the complex aspects of the interaction between humans and this substance. Alcohol policies include the areas of safety, health, regulation of advertising and means of access to the substance, and price regulation. However, the population usually may need help to accept policies on alcohol, which justifies carrying out a study on the acceptability of policies on alcohol in Brazil. Objective: To quantify the acceptability of alcohol policy interventions related to the SAFER strategy. Method: mixed methods study focusing on a discrete choice experiment (DCE), with data obtained through nationwide face-to-face household interviews. The sample must be representative of people residing in municipalities of different sizes, stratified by region of the country. The study will stratify individuals by age, gender, occupation, and alcohol use habits. The attributes and levels of the DCE will be predefined through a qualitative analysis of interviews with public managers from the three federal spheres, from the areas of health and social welfare, economy, and public security, followed by analysis by focus groups and a review of the literature to the definition of the population research questionnaire The statistical models provided for analysis include the logistic model of random parameters, and a hierarchical Bayesian model or conditional logistic regression may also be adopted, depending on the configuration of the levels defined during the qualitative phase of this study. The study will use a latent class multinomial logistic model to identify correlations between groups of respondents.”