Bibliometric Analysis of Research Studies Based on Federally Funded Children's Health Surveys

Lydie A Lebrun-Harris1, Sarika R Parasuraman1, Candace Norton2

  • 1US Department of Health and Human Services, Health Resources and Services Administration (LA Lebrun Harris, SR Parasuraman, R Ghandour, MD Kogan), Maternal and Child Health Bureau, Rockville, Md.

Academic Pediatrics
|August 14, 2020
PubMed

Insights

Bibliometric analysis reveals the National Survey of Children's Health (NSCH) and National Survey of Children with Special Health Care Needs (NS-CSHCN) significantly contribute to pediatric research. These surveys are widely utilized across academic and media platforms.

Area of Science:

  • Pediatric Health Research
  • Bibliometrics
  • Health Services Research

Background:

  • Bibliometric analyses commonly measure researcher productivity but rarely assess national survey contributions.
  • The National Survey of Children's Health (NSCH) and National Survey of Children with Special Health Care Needs (NS-CSHCN) are valuable national datasets.

Purpose of the Study:

  • To apply bibliometric methods to quantify the scientific contributions of NSCH and NS-CSHCN.
  • To examine the dissemination of survey findings to non-research audiences through media coverage.

Main Methods:

  • A bibliometric search of the Web of Science database (2002-2019) identified peer-reviewed articles.
  • Data on citation counts, journals, research areas, and institutions were summarized.
  • Media coverage was assessed using the Lexis Advance database Nexis.

Main Results:

  • 716 articles using NSCH/NS-CSHCN data were published between 2002 and June 2019, receiving 22,449 citations.
  • Articles appeared in over 180 journals, focusing on pediatrics, public health, psychology, and health services.
  • Over 500 institutions utilized the data, and over 950 media articles cited survey statistics or research.

Conclusions:

  • NSCH/NS-CSHCN data are extensively used by government, academic, and media entities.
  • Bibliometric methods offer a systematic way to quantify the scientific impact of national surveys.
Abstract

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