Home  /   Data Sources  /   Rehabilitation Dataset Directory: Search  /   Dataset Profile Center for Large Data Research & Data Sharing in Rehabilitation

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

Ask Our Researchers

Have a question about disability data or datasets?
E-mail your question to our researchers at disabilitystatistics@cornell.edu


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:

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