Medicaid Data
Title | Medicaid Data PDF eBook |
Author | United States. Medicaid Bureau. Division of Analysis and Evaluation |
Publisher | |
Pages | 48 |
Release | 1977 |
Genre | Medicaid |
ISBN |
Historical Tables, Budget of the United States Government
Title | Historical Tables, Budget of the United States Government PDF eBook |
Author | United States. Office of Management and Budget |
Publisher | |
Pages | 316 |
Release | 2004 |
Genre | Budget |
ISBN |
Medicaid Eligibility Quality Control
Title | Medicaid Eligibility Quality Control PDF eBook |
Author | United States. Social and Rehabilitation Service |
Publisher | |
Pages | 460 |
Release | 1975 |
Genre | Medicaid |
ISBN |
Means-Tested Transfer Programs in the United States
Title | Means-Tested Transfer Programs in the United States PDF eBook |
Author | National Bureau of Economic Research |
Publisher | University of Chicago Press |
Pages | 224 |
Release | 2003-10-15 |
Genre | Business & Economics |
ISBN | 9780226533568 |
Few United States government programs are as controversial as those designed to aid the poor. From tax credits to medical assistance, aid to needy families is surrounded by debate—on what benefits should be offered, what forms they should take, and how they should be administered. The past few decades, in fact, have seen this debate lead to broad transformations of aid programs themselves, with Aid to Families with Dependent Children replaced by Temporary Assistance to Needy Families, the Earned Income Tax Credit growing from a minor program to one of the most important for low-income families, and Medicaid greatly expanding its eligibility. This volume provides a remarkable overview of how such programs actually work, offering an impressive wealth of information on the nation's nine largest "means-tested" programs—that is, those in which some test of income forms the basis for participation. For each program, contributors describe origins and goals, summarize policy histories and current rules, and discuss the recipient's characteristics as well as the different types of benefits they receive. Each chapter then provides an overview of scholarly research on each program, bringing together the results of the field's most rigorous statistical examinations. The result is a fascinating portrayal of the evolution and current state of means-tested programs, one that charts a number of shifts in emphasis—the decline of cash assistance, for instance, and the increasing emphasis on work. This exemplary portrait of the nation's safety net will be an invaluable reference for anyone interested in American social policy.
State Data Book
Title | State Data Book PDF eBook |
Author | United States. Rehabilitation Services Administration. Division of Monitoring and Program Analysis. Statistical Analysis and Systems Branch |
Publisher | |
Pages | 56 |
Release | 1972 |
Genre | Rehabilitation |
ISBN |
Race, Ethnicity, and Language Data
Title | Race, Ethnicity, and Language Data PDF eBook |
Author | Institute of Medicine |
Publisher | National Academies Press |
Pages | 286 |
Release | 2009-12-30 |
Genre | Medical |
ISBN | 0309140129 |
The goal of eliminating disparities in health care in the United States remains elusive. Even as quality improves on specific measures, disparities often persist. Addressing these disparities must begin with the fundamental step of bringing the nature of the disparities and the groups at risk for those disparities to light by collecting health care quality information stratified by race, ethnicity and language data. Then attention can be focused on where interventions might be best applied, and on planning and evaluating those efforts to inform the development of policy and the application of resources. A lack of standardization of categories for race, ethnicity, and language data has been suggested as one obstacle to achieving more widespread collection and utilization of these data. Race, Ethnicity, and Language Data identifies current models for collecting and coding race, ethnicity, and language data; reviews challenges involved in obtaining these data, and makes recommendations for a nationally standardized approach for use in health care quality improvement.
Registries for Evaluating Patient Outcomes
Title | Registries for Evaluating Patient Outcomes PDF eBook |
Author | Agency for Healthcare Research and Quality/AHRQ |
Publisher | Government Printing Office |
Pages | 385 |
Release | 2014-04-01 |
Genre | Medical |
ISBN | 1587634333 |
This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.