Quantitative Evaluation of Content and Age Concordance Across Developmental Milestone Checklists.
Quantitative Evaluation of Content and Age Concordance Across Developmental Milestone Checklists.
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跨发展里程碑清单的内容和年龄一致性的定量评估。
DOI:
10.1097/dbp.0000000000000695
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发表时间:
2019
期刊:
影响因子:
--
通讯作者:
Huntington,Noelle
中科院分区:
文献类型:
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作者:
Wilkinson,CarolL;Wilkinson,MJackson;Lucarelli,Jennifer;Fogler,JasonM;Becker,RonaldE;Huntington,Noelle
Objective:Clinicians and caregivers rely on milestone checklists as tools for tracking a child's development. In addition, medical students and residents use milestone checklists to learn about normal child development. However, there are multiple published milestone checklists that vary qualitatively in structure and content, hindering their effective use in developmental surveillance and medical education. This project systematically evaluated the consistency and variability between commonly used milestone checklists.Methods:A team of child psychologists and developmental pediatricians reviewed a total of 1094 milestones derived from 4 published checklists (2 developed for providers, 2 developed for caregivers) to create a comprehensive set of 728 discrete developmental observations, with each observation mapped to corresponding milestones. This observation-milestone relational database was then used to determine the degree of content overlap and milestone age range concordance across milestone checklists.Results:Of the 728 discrete developmental observations, 40 (5.5%) were mapped to milestones in all 4 milestone checklists, and an additional 90 (12.4%) were mapped to 3 checklists. Among these 40 “universal” observations, most (42.5%) were in the motor domain. Of those 130 observations mapped to milestones in at least 3 of the 4 checklists, 26.9%(35/130) were mapped to milestones that were discordant in their associated age range.Conclusion:Four commonly used developmental milestone checklists were found to have limited overlap in content, and those that overlapped were inconsistent in their associated age ranges. The resulting observation-milestone relational database could be used to further validate age estimates of milestones and facilitate milestone surveillance through the electronic health record.