The Impact of Health Homes in New York State on People with Substance Use Disorde

纽约州健康之家对药物滥用患者的影响

基本信息

批准号：
8534528
负责人：
JON MORGENSTERN
金额：
$ 22万
依托单位：
PARTNERSHIP TO END ADDICTION
依托单位国家：
美国
项目类别：
财政年份：
2013
资助国家：
美国
起止时间：
2013-05-01 至 2014-04-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8534528
关键词：
AIDS/HIV problem Accident and Emergency department Accounting Adult Aftercare Agreement Alcohol or Other Drugs use Amendment Behavioral Budgets Caring Case Manager Chronic Chronically Ill Client Clinical Cost Control Data Data Set Development Drug Metabolic Detoxication Enrollment Ensure Feedback Fostering Funding Glycosylated hemoglobin A HIV Seropositivity Health Health Care Costs Health Care Reform Healthcare Home environment Homelessness Hospitals Individual Inpatients Logistic Regressions Measures Mediator of activation protein Medicaid Medical Mental Health Mental disorders Metric Modeling Mood stabilizers New York Outcome Outcome Measure Patient-Centered Care Patients Performance Phase Population Primary Health Care Provider Quality Indicator Quality of Care Records Registries Regression Analysis Rehabilitation therapy Research Research Infrastructure Scoring Method Series Subgroup Substance Use Disorder Testing Time Viral Load result Visit Vulnerable Populations Writing addiction administrative database base chronic care model comparison group cost demographics diabetic health care service utilization health information technology high risk improved longitudinal design pressure programs public health relevance severe mental illness stem

项目摘要

DESCRIPTION (provided by applicant): The expansion of healthcare coverage through Medicaid will allow greater access to SUD treatment among those who currently do not have coverage. However, States will be concerned about cost containment as expansion of coverage will increase pressures on strained budgets. Health Homes (HHs) are a federally funded Medicaid program-authorized by the Affordable Care Act-to improve quality of care and reduce wasteful spending for chronic medical and behavioral conditions. HHs aim to increase patient centered care among the most vulnerable populations covered under Medicaid. New York (NY) has received federal approval and is currently rolling out its HH program statewide (anticipated enrollment of about 750,000). The NY HHs program has distinct features including a focus on SUD among enrollees with chronic medical and mental health disorders, fostering of local partnerships among diverse types of providers, and use of care managers to ensure patient centered care. Using a longitudinal design, this study will examine whether the NY HH program improves quality of care, reduces inefficient healthcare, and lowers costs among the 120,000/year individuals with SUD who are eligible for HHs in NY. Administrative data from 2006 through 2016 will be derived from a combination of Medicaid claims and encounters and SUD state registry records which include socio- demographics and substance use data. The study will occur in two phases. In the R21 Phase (1 Year), Primary Aims focus on putting a research infrastructure in place by establishing written agreements with state agencies, creating analytical datasets, and developing a statistical description of initial HH enrollees. Data analysi will include using descriptive and mixed effects logistic regression analyses to describe and contrast historical and baseline socio-demographic, clinical and healthcare utilization among subgroups (e.g., HH eligible with no SUD; high risk clients with SUD). In the R33 Phase (4 years), Primary Aims include examining whether HHs improve Medicaid quality indicators of SUD treatment, quality of medical and mental health care among SUD clients, efficiency of healthcare (e.g., avoidable rehospitalizations), as well as reduce Medicaid costs. Mixed effects logistic regression models will examine changes from historical rates of quality of care metrics and of costs while controlling for a variety of factors (e.g., individual clinically complicating factors). Generalized gamma models will be used to examine Medicaid costs by year. Secondary Aims focus on providing further evidence for making causal inferences about the effect of HHs on outcomes. Regression analyses will explore the relationship between HH program and quality and costs by comparing enrollees to statistically matched non-enrollees, examining the association between care manager activity and outcomes, and the association between moderators (e.g., homelessness) and mediators (e.g., primary care engagement) with efficiency and costs. Findings will have relevance as other states expand Medicaid coverage and use similar reform efforts for chronic conditions targeting the costliest and neediest populations.

描述（由申请人提供）：通过医疗补助的扩大医疗保险将使目前没有承保范围的患者获得更多的SUD治疗。但是，由于覆盖范围的扩展将增加预算紧张的压力，各州将担心成本控制。 Health Homes（HHS）是一项由联邦政府资助的医疗补助计划，该计划由《负担得起的护理法案》授权，以提高护理质量并减少慢性医疗和行为状况的浪费支出。 HHS旨在增加医疗补助涵盖的最脆弱的人群中以患者为中心的护理。纽约（纽约）已获得联邦批准，目前正在全州范围内推出其HH计划（预计入学率约为750,000）。 NY HHS计划具有不同的特征，包括关注患有长期医疗和心理健康障碍的参与者中的SUD，促进不同类型的提供者之间的当地合作伙伴关系以及使用护理经理来确保患者以患者为中心的护理。使用纵向设计，本研究将检查纽约HH计划是否可以提高护理质量，降低效率低下的医疗保健以及降低120,000/年有资格获得HHS HHS的SUD的人的成本。从2006年到2016年的行政数据将来自医疗补助索赔和遭遇以及SUD州注册表记录的组合，其中包括社会人口统计学和药物使用数据。该研究将分为两个阶段。在R21阶段（1年）中，主要目的是通过与州机构建立书面协议，创建分析数据集并制定对初始HH参与者的统计描述来建立研究基础设施。数据分析将包括使用描述性和混合效应逻辑回归分析来描述和对比亚组之间的历史和基线社会人口统计学，临床和医疗保健利用（例如，没有SUD的HH资格；没有SUD；具有SUD的高风险客户）。在R33阶段（4年）中，主要目的包括检查HHS是否改善了SUD治疗的医疗补助质量指标，SUD客户中医疗和心理保健的质量，医疗保健效率（例如，可避免的再培养地化）以及降低医疗补助成本。混合效应逻辑回归模型将检查护理指标质量质量和成本的变化，同时控制各种因素（例如，个体临床上复杂的因素）。通用的伽马模型将用于一年一度检查医疗补助成本。次要的目标集中在提供进一步的证据，以对HHS对结果的影响进行因果推断。回归分析将通过将入学者与统计匹配的非能列进行比较，研究护理经理活动与成果之间的关联，以及主持人（例如无家可归者）与中介者（例如，初级保健）与效率和成本之间的关联，来探讨HH计划与质量与成本之间的关系。随着其他州扩大医疗补助的覆盖范围，并将类似的改革工作用于针对最昂贵，最需要的人口的慢性条件，结果将具有相关性。

项目成果

期刊论文数量（1）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Substance Use Disorders and Diabetes Care: Lessons From New York Health Homes.

药物使用障碍和糖尿病护理：纽约健康之家的经验教训。

DOI：
10.1097/mlr.0000000000001602
发表时间：
2021-10-01
期刊：
Medical care
影响因子：
3
作者：
Forthal S;Choi S;Yerneni R;Zhang Z;Siscovick D;Egorova N;Mijanovich T;Mayer V;Neighbors C
通讯作者：
Neighbors C