Using Narratives to Identify Stigma Phenotypes - A Socio-Ecological Approach

使用叙述来识别耻辱表型 - 社会生态学方法

• 批准号: 10508469
• 负责人: Annie Chen
• 金额: $ 26.66万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10508469
• 关键词: Address; Affect; Age; Alcohols; Area; Behavior; Behavioral; Cannabis; Characteristics; Cognitive; Communication; Data; Employment; Future; Gender; Health; Healthcare; Home; Housing; Interdisciplinary Study; Intervention; Label; Lead; Logistic Regressions; Measurable; Medical Education; Medical Students; Mental Health; Modeling; Monkeys; Natural Language Processing; Opioid; Parents; Participant; Performance at work; Personal Satisfaction; Persons; Phenotype; Population; Population Intervention; Positioning Attribute; Process; Protocols documentation; Psyche structure; Public Health; Qualitative Research; Reporting; Research; Research Methodology; Sampling; Schools; Social Alienation; Source; Stereotyping; Students; Substance Use Disorder; Surveys; Target Populations; Techniques; Training; Twitter; Work; contextual factors; design; experience; farmer; health goals; improved; innovation; insight; internalized stigma; multiple data sources; physical conditioning; professional atmosphere; recruit; social; social media; social relationships; social stigma; substance use; trustworthiness; web site; working group

Project Summary/Abstract Stigma associated with substance use disorders (SUDs) can have severe negative consequences for physical and mental health; affect employment, housing, and social relationships; result in social alienation; and serve as a barrier to obtaining treatment. Existing stigma reduction interventions have largely focused on structural stigma (e.g. education of medical students or professional groups that work with persons with SUDs), but stigma can occur at multiple levels and in different contexts. In particular, there is a need for more stigma reduction interventions targeting those affected by self-stigma. We propose to address this gap by characterizing stigma in different substance use contexts through narratives collected from two different sources, social media and survey data. The long-term objective of this proposal is to derive insights concerning stigma phenotypes – characterized by setting (e.g., work, home, school), actors (persons involved in the stigma-related experience), and situations in which stigma reduction interventions are needed, as well as intervention mechanisms that are appropriate for their target populations. The significance of this proposal is that it focuses on stigma as it directly affects the persons who experience stigma – an area in which stigma reduction interventions are lacking. We focus on stigma relating to three substances: alcohol, cannabis, and opioids. Our three aims are: 1) we will integrate natural language processing and qualitative research methods to identify stigma processes, their contextual factors, and barriers and facilitators of stigma reduction in a social media corpus; 2) we will administer a survey to elicit narratives from persons with SUDs about how they have dealt with stigma in different contexts; and 3) we will triangulate the findings from Aims 1 and 2 to identify settings, target populations, and intervention mechanisms for future stigma reduction interventions. Our multidisciplinary research team possesses expertise in multiple areas relating to this proposal, including NLP, qualitative research, and substance use, and are ideally positioned to conduct the research.

项目摘要/摘要 与药物使用障碍（SUD）相关的污名可能会对物理产生严重的负面影响 和心理健康；影响就业，住房和社会关系；导致社会疏远；并服务 作为获得治疗的障碍。现有的减少污名干预措施主要集中在结构上 污名（例如，与泡沫患者一起工作的医学生或专业团体的教育），但 污名可以在多个层次和不同情况下发生。特别是需要更多的污名 减少针对受自我污名人士的干预措施。我们建议通过 通过从两个不同的叙述中表征不同物质使用环境中的污名 来源，社交媒体和调查数据。该提议的长期目标是获得有关的见解 污名表型 - 以设置为特征（例如，工作，家庭，学校），演员（参与参与的人 与污名相关的经验）以及需要减少污名干预措施的情况 适合其目标人群的干预机制。该提议的重要性是 它关注污名，因为它直接影响了经历污名的人 - 污名的领域 缺乏减少干预措施。我们专注于与三种物质有关的污名：酒精，大麻和 OOPIOIDS。我们的三个目标是：1）我们将整合自然语言处理和定性研究方法 确定社会中污名化的过程，其上下文因素以及污名化的障碍和促进者 媒体语料库； 2）我们将进行一项调查，以引起有关SUD的人的叙述 在不同情况下处理污名； 3）我们将对目标1和2的发现进行三角调节以识别 设置，目标人群和干预机制，以减少污名化干预措施。我们的 多学科研究团队在包括NLP在内的多个领域具有专业知识 定性研究和物质使用，理想地进行研究。