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Your search keyword '"Databases as Topic classification"' showing total 3 results
Start Over Descriptor "Databases as Topic classification" Topic outcome assessment, health care
3 results on '"Databases as Topic classification"'

1. Administrative versus clinical databases.

Author

Subramanian MP, Hu Y, Puri V, and Kozower BD

Subjects
Biomedical Research methods, Data Accuracy, Humans, Information Storage and Retrieval methods, Information Storage and Retrieval statistics & numerical data, Observer Variation, Registries statistics & numerical data, Databases as Topic classification, Databases as Topic statistics & numerical data, Management Information Systems statistics & numerical data, Medical Informatics methods, Outcome Assessment, Health Care methods, Quality Improvement organization & administration, Thoracic Surgery methods, Thoracic Surgery standards, Thoracic Surgery statistics & numerical data
Published
2021
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2. Using administrative databases for outcomes research: select examples from VA Health Services Research and Development.

Author

Cowper DC, Hynes DM, Kubal JD, and Murphy PA

Subjects
Ambulatory Care, Death Certificates, Hospitalization, Humans, Medical Records Systems, Computerized, Patient Identification Systems, Patient-Centered Care, United States, Databases as Topic classification, Databases as Topic organization & administration, Health Services Research, Management Information Systems classification, Outcome Assessment, Health Care, United States Department of Veterans Affairs
Abstract

The U.S. Department of Veterans Affairs (VA) operates and maintains one of the largest health care systems under a single management structure in the world. The coordination of administrative and clinical information on veterans served by the VA health care system is a daunting and critical function of the Department. This article provides an overview of VA Health Services Research and Development Service initiatives to assist researchers in using extant VA databases to study patient-centered health care outcomes. As examples, studies using the VA's Patient Treatment File (PTF) and the Beneficiary Identification and Records Locator System (BIRLS) Death File are described.

Published
1999
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3. Secondary data bases and their use in outcomes research: a review of the area resource file and the Healthcare Cost and Utilization Project.

Author

Best AE

Subjects
Centers for Medicare and Medicaid Services, U.S., Cost-Benefit Analysis, Health Maintenance Organizations, Health Services Research, Hospitals, Humans, Medicare, Quality of Health Care, United States, United States Agency for Healthcare Research and Quality, Databases as Topic classification, Databases as Topic economics, Databases as Topic organization & administration, Health Care Costs trends, Health Resources classification, Health Resources economics, Health Resources organization & administration, Health Services statistics & numerical data, Outcome Assessment, Health Care
Abstract

Secondary data sources are being used more frequently than ever in outcomes research. The speed and relative low cost of these data bases makes them ideal for analyzing outcomes. Today's researcher has numerous secondary data bases available for use. Few publications exist to help researchers locate the ideal data set for their needs. Herein, two national secondary data bases are reviewed: the Area Resource File (ARF) and the Healthcare Cost and Utilization Project (HCUP). These two data sets represent the two types of secondary data: aggregate and individual. ARF represents an aggregate data set and HCUP represents an individual data set. The advantages of each type of secondary data will also be reviewed.

Published
1999
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