Browse or search for detailed variable level rehabilitation relevant information across 6 major datasets. The catalog provides: variable names, labels, survey questions, response categories and other related variables that can be exported into an excel spreadsheet for your use.
Note: this tool is designed to provide an overview of rehabilitation related information available across multiple datasets - always use the dataset's codebook/dictionary to guide actual analysis.
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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 CLDR is a collaboration between the University of Texas Medical Branch (UTMB) and Cornell University's Yang Tan Institute (EDI) and is funded through a grant from the National Institute of Health (NIH grant # R24HD065702-01). The goal of the Center is to build rehabilitation research capacity by increasing the quantity and quality of rehabilitation outcomes research using large administrative and research datasets. For more information regarding the CLDR including available pilot project funding and its visiting scholar program please visit: http://rehabsciences.utmb.edu/r24/default.asp
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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The Health and Retirement Study (HRS) is a large-scale longitudinal project that follows a representative sample of about 26,000 Americans over the age of 50 every two years. It studies the labor force participation and health transitions that individuals undergo toward the end of their work lives and the following years. It collects a wide variety of information including: disability, physical health and functioning, cognitive functioning, health insurance and health care expenditures as well as work, income, assets and pension plans. It is run by the University of Michigan and supported by the National Institute on Aging (NIA) and the Social Security Administration.
This survey was fielded in the years: 1992-current (Biennial). This codebook is based on 2008 data (the most current data available at the time of development).
http://hrsonline.isr.umich.edu/ (Official Website)
http://hrsonline.isr.umich.edu/index.php?p=data (Access to the survey data)
http://disabilitystatistics.org/sources-profile.cfm?ID=413 (Detailed dataset profile)
The Survey of Income and Program Participation (SIPP) is conducted by United States Census Bureau. It collects a wide variety of information including source and amount of income, labor force information, program participation and eligibility data, and general demographic characteristics. It measures the effectiveness of existing federal, state, and local programs, estimates future costs and coverage for government programs, such as food stamps and provides statistics on the distribution of income and measures of economic well-being in the U.S.
This survey was fielded in the years: 1984-current (Quarterly). This codebook is based on 2004 data (the most current data available at the time of development).
The Medical Expenditure Panel Survey (MEPS) is a multi-component national probability sample survey of individuals, families, health care providers, and employers across the United States. This survey was initiated in 1996 with the purpose of providing national-level estimates of health care utilization, health care access, expenditures, and health insurance coverage of the non-institutionalized U.S. civilian population. The MEPS has three major components: (1) MEPS Household Component - MEPS HC; (2) MEPS Medical Provider Component - MEPS MPC; and (3) MEPS Insurance/Employer Component - MEPS IC. The MEPS HC has been extensively used by researchers as it is a public-use dataset containing key variables of interest; all other MEPS components are only available as restricted-use files.
This survey was fielded in the years: 1996-current (Annual). This codebook is based on 2009 data (the most current data available at the time of development).
http://www.meps.ahrq.gov/mepsweb/index.jsp (Official Website)
http://www.meps.ahrq.gov/mepsweb/data_stats/data_overview.jsp (Access to the survey data)
http://disabilitystatistics.org/sources-profile.cfm?ID=389 (Detailed dataset profile)
The National Center for Health Statistics conducts National Health and Nutrition Examination Survey (NHANES) to measure health parameters and nutritional status of a nationally representative sample of adults and children in the United States. It combines both survey and physical examination data that is conducted and collected at mobile examination centers (MEC) that travel to selected sites throughout the country. The MEC consist of four large trailers that contain all of the diagnostic equipment and personnel necessary to conduct a wide range of both physical and biochemical evaluations. Interviews and physical examinations are conducted to collect the health information. The NHANES interview includes demographic, socioeconomic, dietary, and health-related questions. The examination component consists of medical, dental, and physiological measurements (height, weight, and blood pressure), as well as laboratory tests.
This survey was fielded in the years: NHANES I:1971-1975,NHANES II :1976–1980, NHANES III :1988–1994, 2005-06, 2007-08, 2009-10. This codebook is based on 2007-2008 data (the most current data available at the time of development).
http://www.cdc.gov/nchs/nhanes.htm (Official Website)
http://www.cdc.gov/nchs/nhanes/nhanes_questionnaires.htm (Access to the survey data)
http://disabilitystatistics.org/sources-profile.cfm?ID=405 (Detailed dataset profile)
The National Long-Term Care Survey (NLTCS) is a longitudinal survey that permits observation of changes in the health and functional status of adults aged 65 years and older. The survey also tracks health-care expenditures, Medicare services use, and the availability of formal and informal caregiver services. Older adults without impairment living in communities and those residing in institutions are represented in the sample. The survey divides the sample into three cohorts as individuals without disabilities, individuals with disabilities living in the community, and individuals with disabilities living at institutions. Data can be linked with Medicare files such as the Carrier Claims Record, Clinical Labs, Denominator File, Durable Medical Equipment, Home Health Agency, Hospice, Inpatient, Outpatient, Skilled Nursing Facility, and Vital Statistics File.
This survey was fielded in the years: 1982, 1984, 1989, 1994, 1999, 2004. This codebook is based on 2004 data (the most current data available at the time of development).
http://www.nltcs.aas.duke.edu/index.htm (Official Website)
http://www.nltcs.aas.duke.edu/public.htm (Access to the survey data)
http://disabilitystatistics.org/sources-profile.cfm?ID=385 (Detailed dataset profile)
National Survey of Children’s Health (NSCH) is a national level survey that provides information regarding children's (ages 0-17) health and well being. It is designed to provide estimates at both the nation and state levels. Data collection utilizes the State and Local Area Integrated Telephone Survey (SLAITS) approach designed by the National Center for Health Statistics to collect health topic information at the state and local levels. It includes information regarding child and family demographics, child physical and mental health, family health and activities, parental health, as well as health insurance and health care services and parent perspectives on neighborhood conditions. The 2007-2008 iteration includes the parent reported prevalence of 16 conditions and the Children with Special Health Care Needs (CSHCN) screener. CSHCN are asked about activity and functional limitation questions due to health conditions.
This survey was fielded in the years: 2003-2004, 2007-2008. This codebook is based on 2007-2008 data (the most current data available at the time of development).
http://www.childhealthdata.org/learn/NSCH (Official Website)
http://www.childhealthdata.org/help/dataset (Access to the survey data)
http://disabilitystatistics.org/sources-profile.cfm?ID=414 (Detailed dataset profile)