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Rehabilitation Dataset Directory: Dataset Profile
Dataset: National Survey of Early Childhood Health (NSECH)
Basic Information | |
---|---|
Dataset Full Name | National Survey of Early Childhood Health |
Dataset Acronym | NSECH |
Summary | The NCHS is a CATI based survey fielded in 2000 that provides baseline data on pediatric care and its impact from the parents' perspectives at the national level. Questions focus on pediatric care delivery to families with children under 3 years of age, and the promotion of young children’s health by their families. The interview asks whether the child has experienced asthma, ear infections, eczema/skin allergies, and food/digestive allergies, as well as whether the child has special health care needs. |
Key Terms | Early Childhood Health, State and Local Area Integrated Telephone Survey (SLAITS), pediatric care, health provider contacts, quality of care, child development |
Study Design | Cross-Sectional |
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) | Anxiety disorders (parent), Depression (parent), Pulmonary disorders |
Disability Measures | NA | Measures/Outcomes of Interest |
Topics | Healthcare Utilization, Parental Perception of Pediatric Care, Interactions with Healthcare Providers, Family Interactions and Home Safety, Parental and Child Health, Financial Welfare and Health Insurance, Demographic and Household Information | Sample |
Sample Population | Households containing children ages 4-35 months |
Sample Size/Notes | 2,068 interviews |
Unit of Observation | Individual |
Continent(s) | North America |
Countries | United States |
Geographic Coverage | National |
Geographic Specificity | Census Bureau region |
Special Population(s) | Children/Youth |
Data Collection |
Data Collection Mode | Survey |
Years Collected | 2000 |
Data Collection Frequency | One-time survey | Strengths and Limitations |
Strengths | Study supports preventive healthcare model. Spanish translation of questionnaire administered where necessary. Provides parents' perspective on pediatric care, child's development and abilities. Sample collection method designed to ensure representation from all geographic areas of the United States and oversamples black non-Hispanic and Hispanic minority populations. |
Limitations | Very limited disability and medical condition information. Parental concern measures regarding child development/abilities may not reflect child development issues but rather parental issues. | Data Details |
Primary Website | https://www.cdc.gov/nchs/slaits/nsech.htm |
Data Access | https://www.cdc.gov/nchs/slaits/nsech.htm |
Data Access Requirements | Public Use Dataset |
Summary Tables/Reports | https://www.cdc.gov/nchs/data/series/sr_15/sr15_003.pdf |
Data Components | NA | Selected Papers |
Other Papers | https://www.cdc.gov/nchs/slaits/slaits_products.htm#NSECH2000 |
Technical | https://www.cdc.gov/nchs/data/series/sr_01/sr01_040.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).
Other CLDR supported resources and collaborative opportunities:
- Archive of Data on Disability to Enable Policy and research (ADDEP)
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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.
For questions or comments please contact disabilitystatistics@cornell.edu