Cited by 253Survey Methodology and NonresponseHealth and Medical StudiesSurvey Sampling and Estimation Techniques

The Design and Implementation of the 2016 National Survey of Children’s Health

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Ghandour, Reem M., Jones, Jessica R., Lebrun-Harris, Lydie A., Minnaert, Jessica, Blumberg, Stephen J., Fields, Jason, Bethell, Christina, Kogan, Michael D.·2018·Maternal and Child Health Journal

Abstract

Introduction Since 2001, the Health Resources and Services Administration's Maternal and Child Health Bureau (HRSA MCHB) has funded and directed the National Survey of Children's Health (NSCH) and the National Survey of Children with Special Health Care Needs (NS-CSHCN), unique sources of national and state-level data on child health and health care. Between 2012 and 2015, HRSA MCHB redesigned the surveys, combining content into a single survey, and shifting from a periodic interviewer-assisted telephone survey to an annual self-administered web/paper-based survey utilizing an address-based sampling frame. Methods The U.S. Census Bureau fielded the redesigned NSCH using a random sample of addresses drawn from the Census Master Address File, supplemented with a unique administrative flag to identify households most likely to include children. Data were collected June 2016-February 2017 using a multi-mode design, encouraging web-based responses while allowing for paper mail-in responses. A parent/caregiver knowledgeable about the child's health completed an age-appropriate questionnaire. Experiments on incentives, branding, and contact strategies were conducted. Results Data were released in September 2017. The final sample size was 50,212 children; the overall weighted response rate was 40.7%. Comparison of 2016 estimates to those from previous survey iterations are not appropriate due to sampling and mode changes. Discussion The NSCH remains an invaluable data source for key measures of child health and attendant health care system, family, and community factors. The redesigned survey extended the utility of this resource while seeking a balance between previous strengths and innovations now possible.

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Research works printed but not linked: 2

  1. Bramlett MD, (2017). Design and operation of the National Survey of Children’s Health, 2011–2012. Vital and Health Statistics 1 (59), 1– 256. 28796596
  2. Carroll SH, & Zuckerberg A (2013). Do Names Matter? Experiments Comparing Different Branding and Levels of Personally Identifiable Information in a Mail Questionnaire. Proceedings of the 2013 Federal Committee on Statistical Methodology (FCSM) Research Conference, Editor.

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Authors
Ghandour, R. M., Jones, J. R., Lebrun-Harris, L. A., Minnaert, J., Blumberg, S. J., Fields, J., Bethell, C., & Kogan, M. D.
Affiliations
  • United States Department of Health and Human Services (US)
  • Centers for Disease Control and Prevention (US)
  • United States Census Bureau (US)
  • Johns Hopkins University (US)
Corresponding author
Ghandour, Reem M.
Venue
Maternal and Child Health Journal
Published
2018-05-09
Volume
22
Issue
8
Pages
1093-1102
ISSN
  • 1092-7875 (ISSN-L)
  • 1573-6628
OpenAlex
W2800121673
Cited by
253
References
17
Citations by year
2026: 32 · 2025: 28 · 2024: 26 · 2023: 43 · 2022: 31 · 2021: 49 · 2020: 25 · 2019: 10 · 2018: 8 · 2016: 1
FWCI
52.33
Type
journal article
Language
en
Open access
Locations
  • Maternal and Child Health Journal (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (CC999999)
  • Health Resources and Services Administration
  • Maternal and Child Health Bureau
Topics
  • Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
  • Health Sciences › Health Professions › General Health Professions › Health and Medical Studies
  • Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
Keywords
National Survey of Children's Health, survey redesign, child health, children with special health care needs, address-based sampling, online surveys, response rate, survey incentives, contact strategies, health care utilization, family and community factors
MeSH terms
Child Health, Adolescent, Child, Child Health Services, Child, Preschool, Family Characteristics, Female, Health Surveys, Humans, Male, Research Design, Disabled Children, Children with Disabilities

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