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Rehabilitation Dataset Directory: Dataset Profile
Dataset: National Nursing Home Survey (NNHS)
| Basic Information | |
|---|---|
| Dataset Full Name | National Nursing Home Survey |
| Dataset Acronym | NNHS |
| Summary | The NNHS is a nationwide sample survey of nursing homes, staff, and residents. It collects data at the provider and resident level. The provider-level characteristics include the number of beds, ownership status, certification status, and provision of services and program to residents. The resident-level characteristics contain demographic characteristics of residents, health-related factors, services received, and source of payment used by residents. The survey uses Computer-Assisted Personal Interviews (CAPI) for data collection from nursing home administrators, staff, and residents. |
| Key Terms | Aging, Activities of Daily Living, Disability, Medicare and Medicaid, Nursing Home, Long Term Care, Computer Assisted Personal Interviews, Nursing Home Staffing, Nursing Home Characteristics, Resident Health Status, Medication Status, Source of Payment |
| Study Design | Longitudinal |
| Data Type(s) |
Survey |
| Sponsoring Agency/Entity | Centers for Disease Control and Prevention (CDC) & National Center for Health Statistics (NCHS) | Health Conditions/Disability Measures |
| Health Condition(s) | Chronic pain, Depression, ICD-9/10 diagnostic codes |
| Disability Measures | Ambulatory disability, Cognitive disability, Communication impairment, Functional limitations (ADLs & IADLs), Hearing disability, Independent living disability, Mental health disability, Physical disability, Self-care disability, Special equipment use/assistive technology, Visual disability | Measures/Outcomes of Interest |
| Topics | Aging, Activities of Daily Living, Disability, Medicare, Medicaid, Nursing home long term care, Nursing home staffing, Nursing home characteristics, Resident health status, Medication status, Source of payment, Facility characteristics, Facility services, Facility staffing, Resident characteristics, Medical diagnosis, Length of stay, Functional status, Disability, Hospitalization, Emergency department use, Pressure ulcers, Pain, Falls | Sample |
| Sample Population | Residents and Staff nested in Nursing Homes |
| Sample Size/Notes | 2004: 1,174 (Nursing Home) and 13,507 (Residents) |
| Unit of Observation | Facility & Individual (Resident) |
| Continent(s) | North America |
| Countries | United States |
| Geographic Coverage | National |
| Geographic Specificity | Metropolitan Statistical Area (MSA) |
| Special Population(s) | Aging/Older people (primarily) |
Data Collection |
| Data Collection Mode | Survey (CAPI) |
| Years Collected | 1973-1974, 1977, 1985, 1995,1997, 1999, and 2004 |
| Data Collection Frequency | Variable | Strengths and Limitations |
| Strengths | Data collection is done at two levels: facility (including staffing), and resident level. Can be used for reporting longitudinal trends and time series analysis, sampling methods allow for national estimation of results. |
| Limitations | Most recent data available from 2004; Data collection inconsistent across the period. | Data Details |
| Primary Website | http://www.cdc.gov/nchs/nnhs.htm |
| Data Access | http://www.cdc.gov/nchs/nnhs/nnhs_questionnaires.htm |
| Data Access Requirements | Public Use Dataset |
| Summary Tables/Reports | NNHS reports and highlights : http://www.cdc.gov/nchs/nnhs/nnhs_products.htm |
| Data Components | Facility questionnaire Current resident questionnaire Staffing questionnaire Nursing assistant questionnaire |
Selected Papers |
| Other Papers | NA |
| Technical | The National Nursing Home Survey: 2004 Overview: http://www.cdc.gov/nchs/data/series/sr_13/sr13_167.pdf The National Nursing Home Survey: 1999 Summary http://www.cdc.gov/nchs/data/series/sr_13/sr13_152.pdf |
Related Repositories |
| Repositories |
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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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