음주폐해 감소를 위한 포괄적 근거기반 지역사회 전략: NoMAD 프로젝트A Comprehensive Community Intervention to Reduce Alcohol-Related Harms: No More Alcohol to Drunken Project
- Authors
- 김장래; 이해국; 성병찬; 방형애; 방명희; 한수연; 신윤재; 이수비; 김종태; 박민; 김미현; 조선진
- Issue Date
- Apr-2023
- Publisher
- 한국중독정신의학회
- Keywords
- 지역사회 중재; 알코올; 고위험 음주; 알코올 관련 폐해; 폐해 감소; Community intervention; Alcohol; High-risk drinking; Alcohol-related harms; Harm reduction
- Citation
- 중독정신의학, v.27, no.1, pp 1 - 7
- Pages
- 7
- Journal Title
- 중독정신의학
- Volume
- 27
- Number
- 1
- Start Page
- 1
- End Page
- 7
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/67910
- DOI
- 10.37122/kaap.2023.27.1.1
- ISSN
- 1226-6035
- Abstract
- Objectives: To determine the effectiveness of an action plan that incorporates evidence-based community interventions in reducing alcohol-related harms in a community.
Methods: The No More Alcohol to Drunken (NoMAD) project is a quasi-experimental study that aims to evaluate the impact of a community intervention for a district in reducing alcohol-related harms. The project incorporates evidence-based strategies, such as limiting alcohol in public areas, strengthening crackdown on drink-driving, responsible alcohol server program, screening and brief intervention for high-risk drinking at local clinics or pharmacies, mobile high-risk drinking management program, brain education at schools, and alcohol-free day campaign. The study will employ a difference-in-differences analysis to assess changes in alcohol-related harms 12 months after the implementation of the NoMAD project with non-intervention districts serving as a comparison group.
Discussion: To our knowledge, this is the first trial in Korea to evaluate the effectiveness of evidence- and community-based interventions in reducing alcohol-related harms. Our study is expected to provide a prototype for community-environment strategies to prevent alcohol-related harms and establish scientific grounds for the efficacy of community interventions.
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Collections - College of Business & Economics > Department of Applied Statistics > 1. Journal Articles
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