The paper was written as part of contract #HHS-100-80-0157 between the U.S. Department of Health and Human Services (HHS), Office of Social Services Policy (now the Office of Disability, Aging and Long-Term Care Policy (DALTCP)) and Mathematica Policy Research, Inc., and contract #HHS-100-80-0133 between DALTCP and Temple University. Additional f
This report results from an investigation of the extent to which differential attrition from the research sample in the Channeling Demonstration might have led to biased estimates of program impact. Two analytical approaches were adopted--a heuristic approach and a statistical modeling approach. The results from these approaches lead to the conclu
James W. Conroy Temple University
Valerie J. Bradley Human Services Research Institute
PDF Version: http://aspe.hhs.gov/daltcp/reports/5yrpenn.pdf (267 PDF pages)
The Pennhurst Longitudinal Study was a five year, in-depth review of the effects of the court-ordered deinstitutionalization of Pennhurst residents. Its aim was to provide federal and state officials and others with information to make better policy decisions regarding the processes related to the deinstitutionalization which is underway in many p
U.S. Department of Health and Human Services
Private Financing of Long Term Care: Current Methods and Resources Phase II
ICF Incorporated
January 1985
PDF Version: http://aspe.hhs.gov/daltcp/reports/1985/prvfin2.pdf (54 PDF pages)
U.S. Department of Health and Human Services
The Effects of Sample Attrition on Estimates of Channelings Impacts for an Early Sample
Peter A. Mossel and Randall S. Brown
Mathematica Policy Research, Inc.
July 1984
PDF Version
U.S. Department of Health and Human Services
Differential Impacts Among Subgroups of Early Channeling Enrollees Six Months After Randomization
Executive Summary
In the evaluation of the National Long-Term Care Channeling Demonstration, some members of the research sample were lost to the analysis due to sample attrition. Sample attrition could distort the treatment/control group comparison, depending on the type of attrition that occurred. This report investigates whether there was evidence of bias due to
U.S. Department of Health and Human Services
Long-Term Care Service Supply: Levels and Behavior
William J. Scanlon and Margaret B. Sulvetta
The Urban Institute
1984
PDF Version: http://aspe.hhs.gov/daltcp/reports/1984/aeltcd5.pdf (99 PDF pages)
In this paper, the authors attempt to describe the current supply of institutional long-term care and to discuss the developments in the last 20 years that have affected that supply. The have not attempted to model quantitatively the growth of institutional care or its variation across areas. Earlier attempts to do so indicated the processes deter
U.S. Department of Health and Human Services
The Comparability of Treatment and Control Groups at Randomization
Randall S. Brown and Margaret Harrigan
Mathematica Policy Research, Inc.
October 27, 1983
PDF Version (30 PDF pages)
This report analyzes the treatment and control groups in the National Long-Term Care Channeling Demonstration and concludes that the randomization procedure resulted in groups that are very similar on observable characteristics. Even for site level comparisons, where larger differences were expected because of smaller sample sizes, the number of s
Joel Cohen, Judith Feder, Carol Hamcke, Martha Krieger, Susan O’Loughlin, William Scanlon, Margaret Sulvetta, William Weissert, Sidney Katz, Denise Mahalak, Marilyn Moon, Joseph Papsidero, Beth Soldo and Allan Unger
The Urban Institute, Health Policy Center
July 29, 1983
PDF Version: http://aspe.hhs.gov/daltcp/reports/source.pdf (201 PDF
Tables in this report were prepared in response to a contractual charge to analyze existing data sources for answers to as many long-term care questions as data and resources would permit. More than two dozen research papers containing roughly 500 tables were produced as a result of that effort. This report contains a substantial portion of those