全球智库信息集成服务系统(G2TT): Building Managed Long-Term Services and Supports Risk-Adjustment Models: State Experiences Using Functional Data

G2TT

来源类型	Publication
来源ID	Technical Assistance Brief
	Building Managed Long-Term Services and Supports Risk-Adjustment Models: State Experiences Using Functional Data
	Maria Dominiak; Alex Bohl
发表日期	2016-08-31
出版者	Hamilton, NJ: Center for Health Care Strategies, Inc.
出版年	2016
语种	英语
概述	This brief describes New York’s and Wisconsin’s sophisticated Medicaid managed long-term services and supports risk-adjustment models that use functional status data to predict long-term services and supports costs.",
摘要	Risk adjustment is an actuarial tool to predict expected health care costs based on beneficiary characteristics. In Medicaid managed long-term services and supports (MLTSS) programs, functional status is the biggest driver of LTSS resource use. Given the complexity of collecting and analyzing functional assessment data for Medicaid MLTSS programs, only a few states use risk-adjustment models that capture functional status of MLTSS beneficiaries. This brief, supported through the West Health Policy Center, examines the sophisticated risk-adjustment models developed by Wisconsin and New York for their MLTSS programs that reflect many variables, including functional status. States looking to develop a MLTSS risk-adjustment model using functional assessment data need to select variables that are most predictive of LTSS costs while ensuring that model variables are aligned with the state’s MLTSS policy goals.
URL	https://www.mathematica.org/our-publications-and-findings/publications/building-managed-longterm-services-and-supports-riskadjustment-models-state-experiences-using
来源智库	Mathematica Policy Research (United States)
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/488594
推荐引用方式 GB/T 7714	Maria Dominiak,Alex Bohl. Building Managed Long-Term Services and Supports Risk-Adjustment Models: State Experiences Using Functional Data. 2016.