Division of Developmental and Behavioral Pediatrics, Stanford University School of Medicine, Stanford, CA.
Quantitative Sciences Unit, Stanford University School of Medicine, Stanford, CA; and.
J Dev Behav Pediatr. 2023 Apr 1;44(3):e196-e203. doi: 10.1097/DBP.0000000000001167.
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.
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.
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]).
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.
本研究旨在确定与儿童社会人口统计学变量相关的语言延迟首次识别的发生率和年龄,该研究对象为一个儿科初级保健网络中的儿童。
我们分析了一个社区为基础的儿科初级保健网络中 10 个实践点在 2015 年至 2019 年间就诊的 1 至 5 岁儿童的电子健康记录的匿名数据集。主要结果是具有相关 ICD-10 就诊诊断代码的患者数量(比例)和首次记录语言延迟的患者年龄(月)。回归模型根据实践隶属关系,调整了患者特征与结局之间的关联。
在纳入的 14559 名患者中,有 2063 名(14.1%)有语言延迟:68.4%为男性,74.4%有私人保险,96.1%的家庭语言为英语。大多数患者(60%)在 18 或 24 个月的定期健康检查中首次被发现。首次记录的平均年龄为 25.4 个月(SD=9.3),使用标准化发育筛查工具和使用监测问卷的实践之间无差异。回归模型显示,与女性相比,男性被诊断为语言延迟的可能性是女性的两倍多(调整后的优势比[aOR]=2.05,95%可信区间[CI]:[1.86-2.25]);与私人保险相比,公共保险的患者更有可能被诊断为语言延迟(aOR=1.48,95%CI:[1.30-1.68])。女性首次识别时的年龄大于男性(+1.2 个月,95%CI:[0.3-2.1]);与军人保险相比,私人保险患者的年龄更大(私人+3.3 个月,95%CI:[2.2-4.4])。
该网络中的儿科医生识别语言延迟的发生率与全国流行率相似。需要进一步研究以了解在使用发育筛查和/或监测的实践中,不同患者亚组之间语言延迟检测的差异。