Detection of Speech-Language Delay in the Primary Care Setting: An Electronic Health Record Investigation

J Dev Behav Pediatr. 2023 Apr 1;44(3):e196-e203. doi: 10.1097/DBP.0000000000001167.

Abstract

Objective: The purpose of this study is to determine the rate and age at first identification of speech-language delay in relation to child sociodemographic variables among a pediatric primary care network.

Methods: We analyzed a deidentified data set of electronic health records of children aged 1- to 5-years-old seen between 2015 and 2019 at 10 practices of a community-based pediatric primary health care network. Primary outcomes were numbers (proportions) of patients with relevant ICD-10 visit-diagnosis codes and patient age (months) at first documentation of speech-language delay. Regression models estimated associations between outcomes and patient characteristics, adjusting for practice affiliation.

Results: Of 14,559 included patients, 2063 (14.1%) had speech-language delay: 68.4% males, 74.4% with private insurance, and 96.1% with English as a primary household language. Most patients (60%) were first identified at the 18- or 24-month well-child visit. The mean age at first documentation was 25.4 months (SD = 9.3), which did not differ between practices reporting the use of standardized developmental screener and those using surveillance questionnaires. Regression models showed that males were more than twice as likely than females to be identified with speech-language delay (adjusted odds ratio [aOR] = 2.05, 95% CI: [1.86-2.25]); publicly insured were more likely than privately insured patients to be identified with speech-language delay (aOR = 1.48, 95% CI: [1.30-1.68]). Females were older than males at first identification (+1.2 months, 95% CI: [0.3-2.1]); privately insured were older than military insured patients (private +3.3 months, 95% CI: [2.2-4.4]).

Conclusion: Pediatricians in this network identified speech-language delays at similar rates to national prevalence. Further investigation is needed to understand differences in speech-language delay detection across patient subgroups in practices that use developmental screening and/or surveillance.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

MeSH terms

  • Child
  • Child, Preschool
  • Electronic Health Records
  • Female
  • Humans
  • Infant
  • Language Development Disorders* / diagnosis
  • Male
  • Primary Health Care
  • Speech*
  • Surveys and Questionnaires