Content by Keyword: Nursing Home

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

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

We used a difference-in-difference analytical method to estimate how likely nursing home residents eligible for NED2 vouchers in treatment areas were to move to the community before and during the period of voucher availability, as compared to people residing in comparison areas. Data availability (described below) led us to focus on a subset of P

The primary purpose of the NED2 voucher program is to expand the availability of rental subsidies to people residing in institutions to enable them to make transitions to community-based settings. Although the process analysis indicates that vouchers were used to facilitate transition to the community by individuals residing in institutions, it do

Although many challenges and themes reported across PHAs were common to all, regardless of their level of success, some key differences were evident among those able to issue and lease their vouchers earlier than others. In this section, we first discuss challenges common to all sites, particularly challenges centered on the identification and ref

Although the NOFA established some national standards for the NED2 program, sites were given broad flexibility in implementing these standards, resulting in diverse implementation protocols across communities.

Data reported by PHA staff to TAC on voucher issue and lease numbers, supplemented by data obtained during Mathematica discussions with PHAs during summer 2012, provided a snapshot at each of four points in time (June 2011, September 2011, December 2011, and summer 2012) of each PHA's progress in issuing and leasing the NED2 vouchers. These data p

Although 28 PHAs were awarded NED2 vouchers, for the purpose of this analysis we focused on the 13 that received at least 35 vouchers each, since those receiving fewer had less experience by which to judge their success in implementation. The 13 PHAs in eight states that met this threshold are listed in Table II.1 . 10 Collectively, they recei

Prior to the release of the HUD NOFA for the NED program, it was widely believed that demand for housing vouchers among low-income, non-elderly individuals admitted to institutions would be high, and that such vouchers could be issued and leased with relative ease. This belief was fueled by state MFP staff, who identified lack of affordable housin

In 2009, the U.S. Department of Housing and Urban Development (HUD), in partnership with the Centers for Medicare and Medicaid Services (CMS), announced the availability of nearly 1,000 housing choice vouchers (HCVs) to low-income, non-elderly individuals with disabilities who were residing in institutions, with the intention of making rental cost

The Housing Choice Voucher (HCV) program for institutionalized, non-elderly disabled (NED) people stems from the 1999 case Olmstead v. L.C. (527 U.S. 581), in which the U.S. Supreme Court declared that people with disabilities are entitled to receive services in "the most integrated setting appropriate." This ruling required states to expand optio

The following acronyms are mentioned in this report and/or appendices.

Background : The U.S. Department of Housing and Urban Development (HUD), in collaboration with the Centers for Medicare and Medicaid Services, allocated Housing Choice Vouchers to 28 public housing authorities (PHAs) in January 2011. PHAs were required to partner with the state Money Follows the Person program, or the relevant health and human se

The authors acknowledge the efforts of the many people who helped produce this report. First, thanks to Hakan Aykan, Alison Cuellar and Gavin Kennedy in the Office of the Assistant Secretary for Planning and Evaluation in the U.S. Department of Health and Human Services, for providing overall direction and support for this study.

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

Bharucha, A., R. Pandav, C. Shen, H.H. Dodge, and M. Ganguli. "Predictors of Nursing Facility Admission: A 12-Year Epidemiological Study in the United States." Journal of the American Geriatrics Society , 52(3): 434-439, March 2004.

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.

Some limitations of this study should be noted in considering our results. First, our analysis was restricted to those not in managed care, and understanding how transition rates differ for those in managed care may be informative and policy relevant. Second, our results are informative of factors that predict MME status and nursing home entry, bu

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,