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Center for Large Data Research & Data Sharing in Rehabilitation

Rehabilitation Dataset Directory: Dataset Profile


Dataset: Area Resource File (ARF)

Basic Information
Dataset full name: Area Resource File
Dataset acronym ARF
Summary The ARF contains information related to health facilities, health professions, resource scarcity, health status, economic activity, health training programs, and socioeconomic and environmental characteristics. The data are primarily presented at the county level. State FIPS and regional codes enable researchers to compile and present information at more aggregate levels of geography. The file is a collection of data from several agencies: American Medical Association, American Hospital Association, U.S. Census Bureau, CMS, Bureau of Labor Statistics, National Center for Health Statistics, and Veteran’s Administration.
Key Terms Health Care Professions, Hospitals and Health Care Facilities, and Census, Population Data and Environment Characteristics
Study Design Longitudinal
Data Type(s) Administrative
Sponsoring Agency/Entity Department of Health and Human Services (HHS): Health Resources and Services Administration and Quality Resource System (QRS)
Health conditions/Disability measures
Health condition(s) NA
Disability Measures NA
Measures/outcomes of interest
Topics Health Care Professions (e.g., Physicians, Nurse, and Rehabilitation professionals), Health Professions Training (e.g., Number of schools to train health professions and graduation rate), Health Facilities (e.g., Acute hospitals, Skilled nursing facilities, Inpatient rehabilitation facilities, and Home Health Agencies); Hospital Utilization (e.g., Length of stay, outpatient visits, procedures, and discharge destination); Hospital Expenditures (e.g., Facilities expenses and Payroll expenditures); County-level demographics (e.g., age, gender, and employment status); Environment and Geographical Codes
Sample
Sample Population Hospitals and health care facilities, Health care professions, Census: environment and population data
Sample Size/Notes NA
Unit of Observation Geographic Area (e.g., County Level)
Geographic Coverage National
Geographic specificity County Level
Data Collection
Data Collection Mode Administrative
Years Collected 2000-2010 (historical data can be obtained with limited variables information)
Data Collection Frequency Annual
Strengths and limitations
Strengths Comprehensive information about health providers, training. Ideal for building nested and hierarchical models. Data can be linked with other CMS/non-CMS datasets
Limitations Documentation and variable information is limited. Aggregated information at county level. Has limited usefulness as a stand-alone dataset.
Data details
Primary Website http://arf.hrsa.gov/index.htm
Data Access http://arf.hrsa.gov/purchase.htm
Data Access Requirements Data Use agreement, $ Cost
Summary Tables/reports http://arf.hrsa.gov/samples.htm
Dataset components (where applicable) NA
Selected papers
Technical Area Resource File (ARF) content overview
Other Papers



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The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).

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Acknowledgements: This tool was developed through the efforts of William Erickson and Arun Karpur, and web designers Jason Criss and Jeff Trondsen at Cornell University. Many thanks to graduate students Kyoung Jo Oh and Yeong Joon Yoon who developed much of the content used in this tool.

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