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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

United States. Rehabilitation Services Administration. Division of Monitoring and Program Analysis. Statistical Analysis and Systems Branch

Published: 1972

Total Pages: 56


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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.
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.
Many Americans believe that people who lack health insurance somehow get the care they really need. Care Without Coverage examines the real consequences for adults who lack health insurance. The study presents findings in the areas of prevention and screening, cancer, chronic illness, hospital-based care, and general health status. The committee looked at the consequences of being uninsured for people suffering from cancer, diabetes, HIV infection and AIDS, heart and kidney disease, mental illness, traumatic injuries, and heart attacks. It focused on the roughly 30 million-one in seven-working-age Americans without health insurance. This group does not include the population over 65 that is covered by Medicare or the nearly 10 million children who are uninsured in this country. The main findings of the report are that working-age Americans without health insurance are more likely to receive too little medical care and receive it too late; be sicker and die sooner; and receive poorer care when they are in the hospital, even for acute situations like a motor vehicle crash.
Children living in poverty are more likely to have mental health problems, and their conditions are more likely to be severe. Of the approximately 1.3 million children who were recipients of Supplemental Security Income (SSI) disability benefits in 2013, about 50% were disabled primarily due to a mental disorder. An increase in the number of children who are recipients of SSI benefits due to mental disorders has been observed through several decades of the program beginning in 1985 and continuing through 2010. Nevertheless, less than 1% of children in the United States are recipients of SSI disability benefits for a mental disorder. At the request of the Social Security Administration, Mental Disorders and Disability Among Low-Income Children compares national trends in the number of children with mental disorders with the trends in the number of children receiving benefits from the SSI program, and describes the possible factors that may contribute to any differences between the two groups. This report provides an overview of the current status of the diagnosis and treatment of mental disorders, and the levels of impairment in the U.S. population under age 18. The report focuses on 6 mental disorders, chosen due to their prevalence and the severity of disability attributed to those disorders within the SSI disability program: attention-deficit/hyperactivity disorder, oppositional defiant disorder/conduct disorder, autism spectrum disorder, intellectual disability, learning disabilities, and mood disorders. While this report is not a comprehensive discussion of these disorders, Mental Disorders and Disability Among Low-Income Children provides the best currently available information regarding demographics, diagnosis, treatment, and expectations for the disorder time course - both the natural course and under treatment.
Disparities in health and health care across racial, ethnic, and socioeconomic backgrounds in the United States are well documented. The reasons for these disparities are, however, not well understood. Current data available on race, ethnicity, SEP, and accumulation and language use are severely limited. The report examines data collection and reporting systems relating to the collection of data on race, ethnicity, and socioeconomic position and offers recommendations.