Users Guide For The Public Use Data Files
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Registries for Evaluating Patient Outcomes
Author | : Agency for Healthcare Research and Quality/AHRQ |
Publisher | : Government Printing Office |
Total 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.
1970 Census Users' Guide
Author | : United States. Bureau of the Census |
Publisher | : |
Total Pages | : 174 |
Release | : 1970 |
Genre | : United States |
ISBN | : |
Survey of Income and Program Participation Users' Guide
Author | : United States. Bureau of the Census |
Publisher | : |
Total Pages | : 254 |
Release | : 1991 |
Genre | : Households |
ISBN | : |
A Guide to Using Data from the National Household Education Survey (NHES)
Author | : Mary A. Collins |
Publisher | : |
Total Pages | : 76 |
Release | : 1997 |
Genre | : Educational surveys |
ISBN | : |
This guide provides users of the National Household Education Survey (NHES) data with suggested techniques for working with the data files. Special attention is paid to topics that will help users avoid the most commonly made mistakes in working with NHES data. The guide is meant to be an introduction and an overview, and not a substitute for the separate user's manuals and other reports. The NHES is a data collection system of the National Center for Education Statistics that provides descriptive data on the educational activities of the U.S. population and offers policymakers, researchers, and educators a variety of statistics on the condition of education in the United States. The primary purpose of the NHES is to collect repeated measurements of the same phenomena at different points in time, but one-time surveys of topics of interest may be fielded. The NHES is a telephone survey of the noninstitutionalized civilian population of the United States, and households are selected using random digit dialing methods. The NHES has been conducted in 1991, 1993, 1995, and 1996. This guide contains the following sections: (1) introduction and overview; (2) brief descriptions of the separate NHES data files; (3) comparisons with other data sets; (4) familiarization with the data and descriptions of data collection and processing; (5) selecting variables for working data sets; (6) NHES design; (7) working with missing data; and (8) weights and estimation procedures. Appendixes contain commonly asked questions and answers, examples that illustrate points in the text, and a summary of weighting and sample variance estimation variables. (Contains 10 references.) (SLD)