TY - JOUR AU - Haßdenteufel, Kathrin AU - Lingenfelder, Katrin AU - Schwarze, Cornelia E AU - Feisst, Manuel AU - Brusniak, Katharina AU - Matthies, Lina Maria AU - Goetz, Maren AU - Wallwiener, Markus AU - Wallwiener, Stephanie PY - 2021 DA - 201/12/10 TI -基于web的重复筛查预测产后抑郁症的评估:前瞻性队列研究JO - JMIR Ment Health SP - e26665 VL - 8 IS - 12 KW -产后抑郁KW -爱丁堡产后抑郁量表KW -筛查KW -怀孕KW -算法AB -背景:产后抑郁(PPD)是一种严重的精神障碍，常导致母婴依恋不良，并对婴儿发育产生负面影响。最近建议普遍筛查以确定有风险的妇女，但迄今为止尚未确定怀孕期间的最佳筛查时间。因此，在育龄妇女中广泛使用的基于网络的技术为在早期阶段发现具有不良心理健康后果高风险的怀孕创造了新的机会。目的:本研究的目的是通过使用基于网络的筛查工具收集电子患者报告结果(ePROs)作为筛查算法的基础，对产后PPD的风险进行分层，并确定怀孕期间的最佳筛查时间。方法:总共对214名妇女进行了5次妊娠期间和3次妊娠后抑郁症状的重复测试，使用爱丁堡产后抑郁量表(EPDS)，该量表可在基于web的妊娠平台上获得，该平台由本研究的作者开发。对于每次产前评估，计算曲线下面积(AUC)、敏感性、特异性和PPD的预测值。应用多元逻辑回归分析来确定进一步的潜在预测因素，如年龄、教育程度、同侪、关系质量和焦虑，以提高预测的准确性。结果:分析了214名孕妇的数字数据。产后3个月和6个月抑郁症状的预测准确性在第2个月(AUC=0.85)和第3个月(AUC=0.75)的筛查中是合理的。 The multivariate logistic regression analyses resulted in an excellent AUC of 0.93 at 3 months and a good AUC of 0.87 at 6 months postpartum. Conclusions: The best predictive accuracy for PPD has been shown for screening between the 24th and the 28th gestational week (GW) and seems to be beneficial for identifying women at risk. In combination with the aforementioned predictive factors, the discriminatory power improved, particularly at 3 months postpartum. Screening for depression during pregnancy, combined with the women’s personal risk profile, can be used as a starting point for developing a digital screening algorithm. Thereby, web-based assessment tools constitute feasible, efficient, and cost-effective approaches. Thus, they seem to be beneficial in detecting high-risk pregnancies in order to improve maternal and infant birth outcomes in the long term. SN - 2368-7959 UR - https://mental.www.mybigtv.com/2021/12/e26665 UR - https://doi.org/10.2196/26665 UR - http://www.ncbi.nlm.nih.gov/pubmed/34890349 DO - 10.2196/26665 ID - info:doi/10.2196/26665 ER -