Informatics Interventions for Maternal Morbidity: Scoping Review.

IF 1.9 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Jill Inderstrodt, Julia C Stumpff, Rebecca C Smollen, Shreya Sridhar, Sarah A El-Azab, Opeyemi Ojo, Brendan Bowns, David A Haggstrom
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引用次数: 0

Abstract

Background: Women have been entering pregnancy less healthy than previous generations, placing them at increased risk for pregnancy complications. One approach to ensuring effective monitoring and treatment of at-risk women is designing technology-based interventions that prevent maternal morbidities and treat perinatal conditions.

Objective: This scoping review evaluates what informatics interventions have been designed and tested to prevent and treat maternal morbidity.

Methods: MEDLINE, Embase, and Cochrane Library were searched to identify relevant studies. The inclusion criteria were studies that tested a medical or clinical informatics intervention; enrolled adult women; and addressed preeclampsia, gestational diabetes mellitus (GDM), preterm birth, Centers for Disease Control and Prevention-defined severe maternal morbidity, or perinatal mental health conditions. Demographic, population, and intervention data were extracted to characterize the technologies, conditions, and populations addressed.

Results: A total of 80 studies were identified that met the inclusion criteria. Many of the studies tested for multiple conditions. Of these, 73% (60/82) of the technologies were tested for either GDM or perinatal mental health conditions, and 15% (12/82) were tested for preeclampsia. For technologies, 32% (28/87) of the technologies tested were smartphone or tablet applications, 26% (23/87) were telehealth interventions, and 14% (12/87) were remote monitoring technologies. Of the many outcomes measured by the studies, almost half (69/140, 49%) were patient physical or mental health outcomes.

Conclusions: Per this scoping review, most informatics interventions address three conditions: GDM, preeclampsia, and mental health. There may be opportunities to treat other potentially lethal conditions like postpartum hemorrhage using proven technologies such as mobile apps. Ample gaps in the literature exist concerning the use of informatics technologies aimed at maternal morbidity. There may be opportunities to use informatics for lesser-targeted conditions and populations.

Abstract Image

孕产妇发病率的信息学干预:范围审查。
背景:与前几代人相比,进入妊娠期的女性健康状况越来越差,这增加了她们患妊娠并发症的风险。确保有效监测和治疗高危妇女的一种方法是设计以技术为基础的干预措施,以预防孕产妇发病率和治疗围产期疾病。目的:本综述评估了哪些信息学干预措施已经设计和测试,以预防和治疗孕产妇发病率。方法:检索MEDLINE、Embase和Cochrane图书馆,确定相关研究。纳入标准是测试医学或临床信息学干预的研究;纳入的成年女性;并解决先兆子痫、妊娠糖尿病(GDM)、早产、疾病控制和预防中心定义的严重孕产妇发病率或围产期精神健康状况。提取了人口统计、人口和干预数据,以表征所涉及的技术、条件和人群。结果:共有80项研究符合纳入标准。许多研究测试了多种条件。其中,73%(60/82)的技术对GDM或围产期心理健康状况进行了测试,15%(12/82)的技术对先兆子痫进行了测试。在技术方面,32%(28/87)的测试技术是智能手机或平板电脑应用,26%(23/87)是远程医疗干预,14%(12/87)是远程监测技术。在这些研究测量的许多结果中,几乎一半(69/140,49%)是患者的身体或精神健康结果。结论:根据这一范围综述,大多数信息学干预措施针对三种情况:GDM、先兆子痫和心理健康。使用手机应用程序等成熟技术,可能有机会治疗其他潜在的致命疾病,如产后出血。在利用信息学技术降低产妇发病率方面,文献中存在大量空白。可能有机会将信息学用于目标较低的条件和人群。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Interactive Journal of Medical Research
Interactive Journal of Medical Research MEDICINE, RESEARCH & EXPERIMENTAL-
自引率
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发文量
45
审稿时长
12 weeks
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