Mental Health Trends: A real-time sentinel for mental health surveillance

心理健康趋势：心理健康监测的实时哨兵

• 批准号: 8824972
• 负责人: John W Ayers
• 金额: $ 26.6万
• 依托单位: SAN DIEGO STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-04-01 至 2017-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8824972
• 关键词: Address; Adult; Advocate; Behavioral Risk Factor Surveillance System; Budgets; Caring; Centers for Disease Control and Prevention (U.S.); Communities; Complement; Data; Data Analyses; Data Collection; Data Sources; Databases; Development; Dimensions; Disasters; Economics; Goals; Health; Health Resources; Individual; Infectious Disease Epidemiology; Influenza; Internet; Left; Life; Location; Major Depressive Disorder; Measures; Mental Depression; Mental Health; Mental disorders; Methods; Modeling; Monitor; Nature; Online Systems; Patients; Pattern; Physicians; Policy Maker; Population; Prevalence; Privacy; Public Health; Questionnaires; Records; Research Personnel; Resources; Respondent; Running; Scientist; Sentinel; Source; Specificity; Survey Methodology; Surveys; Telephone; Time; United States; United States National Institutes of Health; Update; Validation; Work; cost; cost effective; cost effectiveness; digital; disability; electronic data; evidence base; health knowledge; improved; insight; novel; population health; prospective; social stigma; temporal measurement; trend

DESCRIPTION (provided by applicant): Mental illness is the leading cause of disability in the United States, costing roughly $300 billion annually. Despite high societal burdens, population mental health surveillance for scientific inquiry and tracking progress toward goals like those described in Healthy People remains weak. Nonetheless, the Internet has been shown to be the most utilized health resource in the world, and ground-breaking work in infectious disease epidemiology demonstrates how aggregate Internet search queries may be used to validly estimate population prevalence trends. Capturing mental health related search queries could serve as a novel, cheap, and real- time data source for the development of more robust population mental health surveillance. Thus, we aim to validate adult mental health search query trends (specifically mentally unhealthy days and major depressive disorders) against BRFSS survey measures in the US. This includes identifying a criterion to validate against, selecting candidate queries, building a validation model, adjusting for potential bias, and implementing the query trend. The utility of these trends can be demonstrated by applying our metrics retrospectively to explore potential subseasonal rhythms (i.e., monthly, weekly, daily) in mental health and evaluate the mental health impacts of the Great Recession, just two of the many questions for which these data may be leveraged. Our validated trends will also serve as an important toolkit for federal agencies and advocates going forward. We will release our mental health metrics in a free application, "Mental Health Trends," to be available at www.mentalhealthtrends.org. Running live on Google search data, Mental Health Trends will give investigators, clinicians, and policy makers the ability to rapidly detect changes in population mental health, with new trends released each day.

描述（由申请人提供）：精神疾病是美国残疾的主要原因，每年耗资约3000亿美元。尽管社会负担很高，但人口心理健康监视，以进行科学探究和跟踪朝着健康人所描述的目标的进步仍然很弱。尽管如此，互联网已被证明是世界上最受欢迎的卫生资源，并且在传染病流行病学中开创性的工作表明了如何使用互联网搜索查询来有效地估计人口流行趋势。捕获与心理健康相关的搜索查询可以作为一种新颖，廉价且实时的数据来源，以开发更强大的人群心理健康监视。因此，我们旨在验证针对美国BRFSS调查措施的成人心理健康搜索查询趋势（特别是心理不健康的日子和重大抑郁症）。这包括确定一个标准以验证，选择候选查询，建立验证模型，调整潜在偏见以及实施查询趋势。这些趋势的实用性可以通过回顾性地应用我们的指标来探索潜在的亚季节节律（即每月，每周，每天），并评估大萧条的心理健康影响，这只是其中两个问题中的两个问题中的两个问题都可以利用。我们经过验证的趋势还将成为联邦机构和倡导者的重要工具包。我们将在www.mentalhealthtrends.org上获得免费应用“心理健康趋势”中的心理健康指标。在Google搜索数据上实时运行，心理健康趋势将使调查人员，临床医生和决策者能够快速检测人口心理健康的变化，每天发布新趋势。