ECONOMETRIC ASSESSMENT OF MENTAL HEALTH INDICATORS

心理健康指标的计量经济学评估

• 批准号: 3475958
• 负责人: ELIZABETH A SAVOCA
• 金额: $ 9.66万
• 依托单位: SMITH COLLEGE
• 依托单位国家: 美国
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-09-15 至 1996-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3475958
• 关键词: bias; health care service utilization; health economics; income; mathematical model; mental disorder diagnosis; mental disorders; mental health epidemiology; mental health services; statistics /biometry

This First Award proposal requests 4 years of funding to econometrically assess the reliability of both self-reported and clinically-based measures of mental health as they are typically used in empirical models of market behavior. The term 'reliability' encompasses two aspects of widely-used measures of mental health; the degree to which they are correlated with actual health and the extent to which they contain systematic reporting biases. The project will develop econometric models of earnings, utilization of services, and choice of provider which explicitly account for measurement error in mental health indicators. The long-term objectives of the research are twofold: first, to provide consistent estimates of the impact of mental disorders on earnings and on the use of mental health care services. Such estimates are essential for the proper evaluation of policies which affect the provision of services in the mental health care sector. The second major objective is to determine the extent to which measurement errors in mental health variables bias the effects of nonhealth variables on earnings and utilization patterns. These variables include, gender, race, income, and education. The roles played by these factors are also of interest to policymakers bearing on issues related to, accounting for the sources of growth in medical expenditures, the role of consumer information in the choice of provider, access to medical care for the disadvantaged, and the extent of race and gender discrimination in the labor market. The primary source of data for this project will come from the first wave of a longitudinal survey conducted by the National Institute of Mental Health's Epidemiological Catchment Area Program at five sites in the U.S. during the early 1980s. MIMIC (Multiple Indicator Multiple Cause) models provide the basic network for the analysis.

该一等奖提案要求提供 4 年的资金，以经济计量方式 评估自我报告和临床测量的可靠性 心理健康，因为它们通常用于市场实证模型 行为。 “可靠性”一词包含广泛使用的两个方面 心理健康措施；它们的相关程度 实际健康状况及其包含系统报告的程度 偏见。 该项目将开发收益计量经济学模型， 服务的利用以及明确考虑的提供商的选择 心理健康指标的测量误差。 研究的长期目标有两个：第一，提供 对精神障碍对收入和生活影响的一致估计 使用精神卫生保健服务。 这样的估计对于 对影响服务提供的政策进行适当评估 精神卫生保健部门。 第二个主要目标是确定 心理健康变量的测量误差在多大程度上使人产生偏差 非健康变量对收入和利用模式的影响。 这些 变量包括性别、种族、收入和教育。 所扮演的角色 这些因素也引起了政策制定者对相关问题的兴趣 与医疗支出增长的来源相关， 消费者信息在选择提供商、获取信息方面的作用 弱势群体的医疗保健以及种族和性别的程度 劳动力市场上的歧视。 该项目的主要数据来源将来自第一波 国家心理研究所进行的一项纵向调查 Health 在美国五个地点的流行病学区域计划 20 世纪 80 年代初。 MIMIC（多指标多原因）模型 为分析提供基础网络。