Quantitative Evaluation of Content and Age Concordance Across Developmental Milestone Checklists

Carol L Wilkinson1, M Jackson Wilkinson, Jennifer Lucarelli2

  • 1Division of Developmental Medicine, Boston Children's Hospital, Boston, MA.

Insights

Developmental milestone checklists show little content overlap and inconsistent age ranges. A new database can improve accuracy in tracking child development and aid electronic health record integration.

Area of Science:

  • Child development research
  • Pediatric medicine
  • Medical education

Background:

  • Clinicians and caregivers use milestone checklists for tracking child development.
  • Medical students and residents use checklists for learning about normal child development.
  • Existing checklists vary in structure and content, hindering effective use.

Purpose of the Study:

  • To systematically evaluate consistency and variability between commonly used child development milestone checklists.
  • To identify areas of overlap and discordance in developmental milestones across different checklists.
  • To create a foundational database for improving developmental surveillance tools.

Main Methods:

  • A comprehensive set of 728 discrete developmental observations was created by reviewing 1094 milestones from 4 published checklists.
  • Observations were mapped to corresponding milestones from provider and caregiver checklists.
  • A relational database was developed to analyze content overlap and age range concordance.

Main Results:

  • Only 5.5% of observations were mapped to milestones in all 4 checklists; 12.4% mapped to 3.
  • Among observations mapped to at least 3 checklists, 26.9% had discordant age ranges.
  • Motor domain milestones showed the highest degree of universality across checklists.

Conclusions:

  • Commonly used developmental milestone checklists exhibit limited content overlap and inconsistent age ranges.
  • The developed observation-milestone database can aid in validating milestone age estimates.
  • This resource can facilitate improved developmental surveillance integrated with electronic health records.
Abstract

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