Alzheimer's disease is an irreversible, progressive form of dementia that affects more than 5 million Americans (HHS, 2012). It slowly destroys memory, thinking skills, and eventually the ability to perform activities of daily living (ADLs). People with Alzheimer's disease are often reliant on others for their daily care and are heavy users of med
This report summarizes the research literature on care coordination for people with Alzheimer's disease, with a particular focus on programs that coordinate both medical care and long-term services and supports. Overall, there is limited evidence of the effectiveness of these programs in improving patient outcomes or reducing health care utilizati
Environmental Scan of MLTSS Quality Requirements in MCO Contracts. Appendix P. Washington Medicaid Integration Partnership
Element Description/Notes State and Lead Agency Washington Department of Social and Health Services (DSHS) Program
Environmental Scan of MLTSS Quality Requirements in MCO Contracts. Appendix G. Massachusetts Senior CARE Options
Element Description/Notes State and Lead Agency Massachusetts MassHealth, Office of Long Term Care, Executive Office of Health and Human Services (EOHHS)
Below we highlight what the scan revealed about the quality requirements MLTSS states choose to include in contracts with MCOs. In some instances there is wide diversity in what the contracts require and in others more convergence. Also, contracts may require the same quality element but one may be very prescriptive and specific about how the requ
This report describes how frequently various quality requirement elements appear in managed care organization contracts, as well as some similarities and differences in the quality requirements.
An Investigation of Interstate Variation in Medicaid Long-Term Care Use and Expenditures Across 40 States in 2006
State long-term care (LTC) financing and delivery systems and, in particular, Medicaid funded LTC have long been criticized for being “institutionally biased.” Shifting the balance in publicly-funded long-term care provision away from institutional care (nursing homes, long-term hospitals, intermediate care facilities for the intellectually di
Non-Elderly Disabled Category 2 Housing Choice Voucher Program: An Implementation and Impact Analysis. C. Identifying Treatment and Comparison Samples
Our empirical analysis was based on identifying nursing facility residents in treatment and comparison areas and comparing differences in community transition rates before and during the period of voucher availability. Accordingly, we begin this subsection by describing the selection of treatment and comparison areas. We then describe the process
Non-Elderly Disabled Category 2 Housing Choice Voucher Program: An Implementation and Impact Analysis. B. NED2 Voucher Users
In this section we present descriptive statistics on 2011 NED2 voucher users, extending our knowledge about them from the process analysis. Using linked survey and administrative data, we describe these individuals and compare them with non-users on a variety of demographic, functional, health, and institutional-related characteristics. 1. Me
These beneficiaries are also commonly called dual eligible. See Borck et al. (2013) or Kaiser Family Foundation (2010) for additional information about Medicaid-eligibility for individuals who are aged or have a disability.
The following tables contain the set of coefficient estimates and odds ratios from the regression models. To get predicted rates for Table 2 and Table 3 , we retained the estimated coefficients. Then for "No ER Visit Resulting in IP Stay, SNF Stay, or Other NH Stay", we computed the predicted transition rate by setting the indicator variables f
Factors Predicting Transitions from Medicare-Only to Medicare-Medicaid Enrollee Status. Policy Implications
This analysis identified nursing home use and ER visits leading to an inpatient stay as significant predictors of the transition from Medicare-only eligibility to MME status. Moreover, these predictors were particularly strong among younger Medicare beneficiaries (under 65) compared to older (65 and above) beneficiaries.
This analysis identified nursing home use (SNF or other nursing home) as an important predictor of MME status, particularly among younger Medicare beneficiaries. Additionally, having both a Medicare-financed SNF stay and a non-SNF stay is an even stronger predictor of MME status. Chronic conditions, particularly related to Alzheimer's or dementia,
Factors Predicting Transitions from Medicare-Only to Medicare-Medicaid Enrollee Status. Chronic Conditions
In addition to service utilization, chronic conditions were also associated with the rate of transition to MME status, as well as non-SNF nursing home entry.
Factors Predicting Transitions from Medicare-Only to Medicare-Medicaid Enrollee Status. Data and Methodology
We combined data from multiple sources to examine beneficiary characteristics and service utilization patterns that predict transitions from Medicare-only eligibility to MME status on a monthly basis. We also examined beneficiary characteristics and service utilization patterns that predict entry into nursing home care not covered by the Medicare
MMEs must meet the eligibility requirements of both Medicare and Medicaid. At a high level, Medicare beneficiaries become eligible for Medicaid through one of three ways: having low income and few resources, incurring high medical expenses, or requiring institutional level of care (for a more complete description, see the companion study by Borck
Objective . To gain a better understanding of the factors associated with Medicaid enrollment among Medicare beneficiaries as well as the factors associated with nursing home entry, a significant predictor of dual eligibility for Medicare and Medicaid coverage. Key Outcomes . We estimate the probability of transitioning to dual eligibility for
This study focuses on understanding the rates and patterns of enrollment in Medicaid among individuals already enrolled in Medicare, the factors that predict this transition to dual coverage, and those that predict nursing home entry. This volume provides estimated econometric models that predict beneficiaries’ enrollment in Medicaid, and thei
Alzheimer's Association. (2011). "2010 Alzheimer's Disease Facts and Figures." Retrieved May 11, 2012, from http://www.alz.org/documents_custom/report_alzfactsfigures2010.pdf . Alzheimer's Association. (2012). "2011 Alzheimer's Disease Facts and Figures." Retrieved May 11, 2012, from http://www.alz.org/downloads/facts_figures_2011.pdf .