COSTS OF DRUG TREATMENT UNDER PRIVATE INSURANCE

描述：申请人摘要 药物或酒精滥用的护理通常被排除在保险之外或受到限制 或雇主授权和平等立法。 原因之一是不确定性 这些政策对药物滥用治疗的成本影响， 特别是在医疗环境发生变化的情况下。 填补这一 信息差距，该项目将研究药物和酒精滥用的好处， 获得护理，利用率和管理式护理下的成本，跟踪变化 随着时间的推移，并模拟颁布立法的后果， 物质滥用，平行的各种平等的努力，在精神 在国家一级开展卫生工作。 其具体目标是： 1. 建立一个管理行为健康的雇主合同数据库 关于药物滥用护理的护理组织。 收集行政 关于注册者、访问和索赔的数据，并将其结构化， 分析。 跟踪与药物滥用问题有关的福利变化， 随着时间的推移，获得护理、利用和成本。 2. 药物滥用的研究途径、护理强度和成本模式 在不同的时间和不同的保险安排下进行护理。 3. 确定特定福利设计（限额、免赔额、 共同支付）的机会，护理强度和成本，适应经济模式 医疗保健需求。 4. 使用参数预测药物滥用均等的影响 目前讨论的精神卫生保健，结合详细的模式， 根据新的国家调查提供的行政数据， 做出具有全国代表性的预测 将特别注意 支付给就业投保人，他们的成年家属， 及其子女家属。

DESCRIPTION: Applicant's Abstract Care for drug or alcohol abuse is usually excluded or limited in insurance or employer mandates and parity legislation. One reason is uncertainty about the cost impact of such policies for substance abuse treatment, especially under the changes in the health care environment. To fill this informational gap, this project will study drug and alcohol abuse benefits, access to care, utilization, and costs under managed care, track changes over time, and simulate the consequences of enacting legislation for substance abuse that parallels the variety of parity efforts in mental health under way at the state level. Its specific aims are: 1. Develop a data base of employer contracts with managed behavioral health care organizations regarding substance abuse care. Collect administrative data on enrollees, access, and claims, and structure them for quantitative analyses. Track changes in benefits related to substance abuse problems, access to care, utilization, and costs over time. 2. Study access, intensity of care, and cost patterns for substance abuse care over time and under different insurance arrangements. 3. Identify the effects of specific benefit designs (limits, deductibles, copayments) on access, intensity of care, and cost, adapting economic models of health care demand. 4. Predict the implications of substance abuse parity using parameters currently discussed for mental health care, combining the detailed models based on administrative data with information from new national surveys to make nationally representative predictions. Particular attention will be paid to differences between employed policyholders, their adult dependents, and their child dependents.