Validating the Use of ICD-9-CM Codes to Evaluate Gestational Age and Birth Weight

Abstract

The objective of this study was to determine the accuracy of International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) derived gestational age and birth weight data in the Department of Defense (DoD) Birth and Infant Health Registry (Registry). We compared Registry data and1858 randomly selected birth records from 17 DoD hospitals (gold standard), with oversampling for infants with birth defects. We performed extraction of record information and matching subject data to Registry data to assess birth outcome agreement. Of the 1858 reviewed infant records, 1700 met inclusion criteria, with 1669 records successfully matched to the Registry for analyses. Despite small differences in parental demographics, our investigation revealed exceptional agreement for our primary outcomes: kappa of 0.83 for preterm and 0.87 for low weight births. Subgroup analyses revealed no significant differences in birth outcome agreement based on the presence of a birth defect, or military parent rank, race/ethnicity, and branch of military service. This study demonstrates that ICD-9-CM codes provide an accurate assessment of preterm and low weight birth outcomes captured in this large birth and infant health registry. These results strengthen data integrity evidence for investigators examining parental occupational exposures and birth outcomes among service member families.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2012
Accession Number
ADA618555

Entities

People

  • Ana Marie S. Conlin
  • Carter J. Sevick
  • Diane P. Martin
  • Gia R. Gumbs
  • John P. Barrett
  • Sydney Lee
  • Tyler Clain Smith

Organizations

  • Naval Health Research Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Agreements
  • Biomedical Research
  • Body Weight
  • Classification
  • Contracts
  • Department Of Defense
  • Governments
  • Information Operations
  • Military Personnel
  • National Governments
  • Personnel Management
  • Social Sciences
  • Standards
  • United States Government

Fields of Study

  • Medicine

Readers

  • Computational Modeling and Simulation
  • Government Contracting/Procurement.
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.