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Classification Performance of the Ages and Stages Questionnaire: Influence of Maternal Education Level.

Marguerite LockhartRobin ChauxMathilde ChevinMagali CelleTiphaine Raia-BarjatHugues PaturalStéphane ChabrierAntoine Giraud
Published in: Children (Basel, Switzerland) (2023)
(1) Background: The Ages and Stages Questionnaire-Third Edition (ASQ-3) is a parental screening questionnaire increasingly being used to evaluate the development of preterm children. We aimed to assess the classification performance of the ASQ-3 in preterm infant follow-up. (2) Methods: In this cross-sectional study, we included 185 children from the SEVE longitudinal cohort born <33 weeks of gestational age between November 2011 and January 2018, who had both an ASQ-3 score at 24 months of corrected age (CA) and a revised Brunet-Lézine (RBL) scale score at 30 months of CA. The ASQ-3 overall score and sub-scores were compared to the RBL developmental quotient (DQ) scores domain by domain. The diagnostic performance of the ASQ-3 was evaluated with the RBL as the reference method by calculating sensitivity, specificity, and positive and negative likelihood ratios. A multivariate analysis assessed the association between low maternal education level and incorrect evaluation with the ASQ-3. (3) Results: The ASQ-3 overall score had a specificity of 91%, a sensitivity of 34%, a positive likelihood ratio of 3.82, and a negative likelihood ratio of 0.72. Low maternal education level was a major risk factor for incorrectly evaluating children with the ASQ-3 (odds ratio 4.16, 95% confidence interval 1.47-12.03; p < 0.01). (4) Conclusions: Regarding the low sensitivity and the impact of a low maternal education level on the classification performance of the ASQ-3, this parental questionnaire should not be used alone to follow the development of preterm children.
Keyphrases
  • gestational age
  • birth weight
  • preterm birth
  • healthcare
  • young adults
  • cross sectional
  • low birth weight
  • machine learning
  • deep learning
  • quality improvement
  • psychometric properties
  • body mass index
  • patient reported