|Dataset Full Name||Area Resource File|
|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|
|Sponsoring Agency/Entity||Department of Health and Human Services (HHS): Health Resources and Services Administration and Quality Resource System (QRS)||Health Conditions/Disability Measures|
|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|
|Unit of Observation||
|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|
|Data Access Requirements||Data Use agreement, $ Cost|
|Data Components||NA||Selected 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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