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Rehabilitation Dataset Directory: Dataset Profile


Dataset: National Long-Term Care Survey (NLTCS)

Basic Information
Dataset full name: National Long-Term Care Survey
Dataset acronym NLTCS
Summary 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.
Key Terms Aging, Activities of Daily Living, Assistive Devices, Caregivers (paid and unpaid), Cognitive Functioning, Disability, Disability Trends, Instrumental Activities of Daily Living, Medicare and Medicaid, Institutions
Study Design Longitudinal
Data Type(s) Survey
Sponsoring Agency/Entity National Institutes of Health (NIH): National Institute on Aging (NIA)
Health conditions/Disability measures
Health condition(s) Any/All
Disability Measures Any/All
Measures/outcomes of interest
Topics Aging, Activities of Daily Living, Assistive devices, Caregivers (paid and unpaid), Cognitive functioning, Disability, Disability trends, Instrumental Activities of Daily Living, Medicare and Medicaid, Institutions
Sample
Sample Population Older adults (age 65+) drawn from Medicare enrollment files
Sample Size/Notes In 1982: 20,485 and 2004: 20,474 (Original sample of 35,789 . Subsequent addition of 5,000 individuals every five years to replace individuals lost to follow up.)
Unit of Observation Individual
Geographic Coverage National
Geographic specificity Regions: Northeast, Midwest, South, West
Data Collection
Data Collection Mode Survey
Years Collected 1982, 1984, 1989, 1994, 1999, 2004
Data Collection Frequency Waves (every five years)
Strengths and limitations
Strengths Longitudinal data with a high relevance to rehabilitation research. Data can be linked with Medicare Standard Analytical Files (SAF: Carrier Claims Record, Clinical Labs, Denominator File, Durable Medical Equipment, Home Health Agency, Hospice, Inpatient, Outpatient, Skilled Nursing Facility, Vital Statistics File) in order to obtain medical expenditure information. Adequate documentation available.
Limitations Most recent data available from 2004
Data details
Primary Website Duke University: http://www.nltcs.aas.duke.edu/index.htm ICPSR: http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/9681/version/5
Data Access ICPSR: http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/9681/version/5
Data Access Requirements Data Use agreement, No cost
Summary Tables/reports NA
Dataset components (where applicable) Ancillary Data: Next-of-Kin, Caregiver, Institutional Follow-Up, Venipuncture, and Buccal
Selected papers
Technical Documentation (ICPSR): http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/9681?classification=CD-ROM.I.*&archive=NACDA#datasetsSection
Other Papers Most recent Publications (ICPSR):
http://www.icpsr.umich.edu/icpsrweb/NACDA/studies/9681?classification=CD-ROM.I.*&archive=NACDA#pubs



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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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