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使用智能手机技术进行围产期抑郁筛查:探索 MGH 围产期抑郁量表(MGHPDS)的采用、参与度和未来方向。

Perinatal depression screening using smartphone technology: Exploring uptake, engagement and future directions for the MGH Perinatal Depression Scale (MGHPDS).

机构信息

Ammon-Pinizzotto Center for Women's Mental Health, Massachusetts General Hospital, Boston, MA, United States of America.

出版信息

PLoS One. 2021 Sep 29;16(9):e0257065. doi: 10.1371/journal.pone.0257065. eCollection 2021.

DOI:10.1371/journal.pone.0257065
PMID:34587183
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8480830/
Abstract

Women may experience new-onset or worsening depressive disorders during pregnancy and the postpartum. If untreated, there may be detrimental consequences to the health and wellbeing of the woman and to her baby. There is a need for improved tools and approaches that can be easily and broadly implemented to effectively detect depression during the perinatal period. Early identification of depression during pregnancy is an important first step towards connecting women to treatment and preventing continued depression into the postpartum or beyond. This report provides preliminary findings from a pilot study of a digital screening app for perinatal depression expiring potential for app reach, engagement, and user demographics and mental health symptoms. With mainly passive recruitment efforts, we collected cross-sectional mental health data on over 700 women during the perinatal period, including women across over 30 countries. We report on mean depression scores among women during pregnancy and the postpartum as well as on constructs that are commonly comorbid with depression, including anxiety, sleep dysregulation, and perceived stress. Over half of the women during pregnancy and over 70% of women in the postpartum had a depression score indicative of clinical depression. Future research directions for this work and potential for public health impact are discussed, including longitudinal data collection and analyses of symptomology over time and embedding evidence-based digital therapeutics into the app as a means to increase access to mental health services.

摘要

女性在怀孕期间和产后可能会出现新的或恶化的抑郁障碍。如果不加以治疗,可能会对女性及其婴儿的健康和幸福产生不利影响。需要改进能够简单广泛实施的工具和方法,以便在围产期有效地发现抑郁。在怀孕期间及早发现抑郁是将妇女与治疗联系起来并防止抑郁持续到产后或以后的重要第一步。本报告提供了一项针对围产期抑郁数字筛查应用程序的试点研究的初步结果,该应用程序具有潜在的应用范围、参与度和用户人口统计学特征以及心理健康症状。通过主要的被动招募努力,我们在围产期期间收集了 700 多名女性的横断面心理健康数据,包括来自 30 多个国家的女性。我们报告了怀孕期间和产后女性的平均抑郁评分,以及与抑郁常见共病的结构,包括焦虑、睡眠失调和感知压力。超过一半的孕妇和超过 70%的产后妇女的抑郁评分表明患有临床抑郁症。讨论了这项工作的未来研究方向和对公共卫生的潜在影响,包括纵向数据收集和随时间对症状进行分析,并将基于证据的数字疗法嵌入应用程序作为增加获得心理健康服务的一种手段。

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