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通过移动健康应用程序早期检测幼儿神经发育障碍和产后抑郁:观察性横断面研究。

Early Detection of Neurodevelopmental Disorders of Toddlers and Postnatal Depression by Mobile Health App: Observational Cross-sectional Study.

机构信息

Institut Inter-Regional Jean Bernard, ELSAN, Le Mans, France.

Toulouse Business School, Toulouse, France.

出版信息

JMIR Mhealth Uhealth. 2022 May 16;10(5):e38181. doi: 10.2196/38181.

Abstract

BACKGROUND

Delays in the diagnosis of neurodevelopmental disorders (NDDs) in toddlers and postnatal depression (PND) in mothers are major public health issues. In both cases, early intervention is crucial.

OBJECTIVE

We aimed to assess if a mobile app named Malo can reduce delay in the recognition of NDD and PND.

METHODS

We performed an observational, cross-sectional, data-based study in a population of young parents with a minimum of 1 child under 3 years of age at the time of inclusion and using Malo on a regular basis. We included the first 4000 users matching the criteria and agreeing to participate between November 11, 2021, and January 14, 2022. Parents received monthly questionnaires via the app, assessing skills on sociability, hearing, vision, motricity, language of their infants, and possible autism spectrum disorder. Mothers were also requested to answer regular questionnaires regarding PND, from 4-28 weeks after childbirth. When any patient-reported outcomes matched predefined criteria, an in-app notification was sent to the user, recommending the booking of an appointment with their family physician or pediatrician. The main outcomes were the median age of the infant at the time of notification for possible NDD and the median time of PND notifications after childbirth. One secondary outcome was the relevance of the NDD notification for a consultation as assessed by the physicians.

RESULTS

Among 4242 children assessed by 5309 questionnaires, 613 (14.5%) had at least 1 disorder requiring a consultation. The median age of notification for possible autism spectrum, vision, audition, socialization, language, or motor disorders was 11, 9, 17, 12, 22, and 4 months, respectively. The sensitivity of the alert notifications of suspected NDDs as assessed by the physicians was 100%, and the specificity was 73.5%. Among 907 mothers who completed a PND questionnaire, highly probable PND was detected in 151 (16.6%) mothers, and the median time of detection was 8-12 weeks.

CONCLUSIONS

The algorithm-based alert suggesting NDD was highly sensitive with good specificity as assessed by real-life practitioners. The app was also efficient in the early detection of PND. Our results suggest that the regular use of this multidomain familial smartphone app would permit the early detection of NDD and PND.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04958174; https://clinicaltrials.gov/ct2/show/NCT04958174.

摘要

背景

婴幼儿神经发育障碍(NDD)和产妇产后抑郁症(PND)的诊断延迟是主要的公共卫生问题。在这两种情况下,早期干预至关重要。

目的

我们旨在评估名为 Malo 的移动应用程序是否可以减少 NDD 和 PND 识别的延迟。

方法

我们在一个有至少 1 名 3 岁以下儿童的年轻父母群体中进行了一项基于观察、横断面、基于数据的研究,并定期使用 Malo。我们纳入了 2021 年 11 月 11 日至 2022 年 1 月 14 日之间符合标准并同意参与的前 4000 名用户。父母通过应用程序每月收到评估婴儿社交能力、听力、视力、运动能力、语言以及可能的自闭症谱系障碍的问卷。母亲还被要求从产后 4-28 周定期回答关于 PND 的问卷。当任何患者报告的结果符合预设标准时,应用程序内通知将发送给用户,建议他们预约家庭医生或儿科医生。主要结局是通知婴儿可能出现 NDD 的年龄中位数和产后通知 PND 的时间中位数。次要结局之一是医生评估的 NDD 通知的相关性。

结果

在 4242 名接受 5309 份问卷评估的儿童中,613 名(14.5%)至少有 1 种需要咨询的疾病。通知疑似自闭症谱系障碍、视力、听力、社交、语言或运动障碍的中位年龄分别为 11、9、17、12、22 和 4 个月。医生评估疑似 NDD 警报通知的敏感性为 100%,特异性为 73.5%。在完成 PND 问卷的 907 名母亲中,检测到高度可能的 PND 有 151 名(16.6%),中位检出时间为 8-12 周。

结论

基于算法的警报提示 NDD 的敏感性很高,特异性很好,由实际从业者评估。该应用程序在早期检测 PND 方面也很有效。我们的结果表明,定期使用这种多领域家庭智能手机应用程序将允许早期检测 NDD 和 PND。

试验注册

ClinicalTrials.gov NCT04958174;https://clinicaltrials.gov/ct2/show/NCT04958174。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc4/9152715/68eba569189b/mhealth_v10i5e38181_fig1.jpg

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