Department of Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
JMIR Mhealth Uhealth. 2020 May 28;8(5):e15111. doi: 10.2196/15111.
Chronic diseases have recently had an increasing effect on maternal-fetal health, especially in high-income countries. However, there remains a lack of discussion regarding health management with technological approaches, including mobile health (mHealth) interventions.
This study aimed to systematically evaluate mHealth interventions used in pregnancy in high-income countries and their effects on maternal health behaviors and maternal-fetal health outcomes.
This systematic review identified studies published between January 1, 2000, and November 30, 2018, in MEDLINE via PubMed, Cochrane Library, EMBASE, CINAHL, PsycINFO, Web of Science, and gray literature. Studies were eligible for inclusion if they included only pregnant women in high-income countries and evaluated stand-alone mobile phone interventions intended to promote healthy maternal beliefs, behaviors, and/or maternal-fetal health outcomes. Two researchers independently reviewed and categorized aspects of full-text articles, including source, study design, intervention and control, duration, participant age, attrition rate, main outcomes, and risk of bias. Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed, and the study was registered in PROSPERO before initiation.
Of the 2225 records examined, 28 studies were included and categorized into 4 themes: (1) gestational weight gain, obesity and physical activity (n=9); (2) smoking cessation (n=9); (3) influenza vaccination (n=2); and (4) general prenatal health, preventive strategies, and miscellaneous topics (n=8). Reported sample sizes ranged from 16 to 5243 with a median of 91. Most studies were performed in the United States (18/28, 64%) and were randomized controlled trials (21/28, 75%). All participants in the included studies were pregnant at the time of study initiation. Overall, 14% (4/28) of studies showed association between intervention use and improved health outcomes; all 4 studies focused on healthy gestational weight. Among those, 3 studies showed intervention use was associated with less overall gestational weight gain. These 3 studies involved interventions with text messaging or an app in combination with another communication strategy (Facebook or email). Regarding smoking cessation, influenza vaccination, and miscellaneous topics, there was some evidence of positive effects on health behaviors and beliefs, but very limited correlation with improved health outcomes. Data and interventions were heterogeneous, precluding a meta-analysis.
In high-income countries, utilization of mobile phone-based health behavior interventions in pregnancy demonstrates some correlation with positive beliefs, behaviors, and health outcomes. More effective interventions are multimodal in terms of features and tend to focus on healthy gestational weight gain.
慢性疾病最近对母婴健康产生了越来越大的影响,尤其是在高收入国家。然而,关于利用技术手段(包括移动健康(mHealth)干预措施)进行健康管理的讨论仍然很少。
本研究旨在系统评估高收入国家中用于妊娠的 mHealth 干预措施及其对产妇健康行为和母婴健康结局的影响。
本系统评价通过 PubMed 中的 MEDLINE、Cochrane 图书馆、EMBASE、CINAHL、PsycINFO、Web of Science 和灰色文献,于 2000 年 1 月 1 日至 2018 年 11 月 30 日期间检索发表的研究。如果研究仅包括高收入国家的孕妇,并评估旨在促进健康产妇信念、行为和/或母婴健康结局的独立手机干预措施,则研究符合纳入标准。两名研究人员独立审查并对全文文章的各个方面进行了分类,包括来源、研究设计、干预和对照组、持续时间、参与者年龄、失访率、主要结局和偏倚风险。本研究遵循系统评价和荟萃分析的首选报告项目(Preferred Reporting Items for Systematic Reviews and Meta-Analyses)指南,并在启动前在 PROSPERO 中进行了注册。
在检查的 2225 条记录中,有 28 项研究被纳入并分为 4 个主题:(1)妊娠体重增加、肥胖和体力活动(n=9);(2)戒烟(n=9);(3)流感疫苗接种(n=2);和(4)一般产前保健、预防策略和其他主题(n=8)。报告的样本量从 16 到 5243 不等,中位数为 91。大多数研究(18/28,64%)在美国进行,为随机对照试验(21/28,75%)。纳入研究的所有参与者在研究开始时均处于妊娠状态。总体而言,14%(4/28)的研究表明干预使用与改善健康结局之间存在关联;所有 4 项研究均专注于健康的妊娠体重增加。其中,3 项研究表明干预使用与总体妊娠体重增加减少相关。这 3 项研究涉及使用短信或应用程序与另一种沟通策略(Facebook 或电子邮件)相结合的干预措施。关于戒烟、流感疫苗接种和其他主题,有一些证据表明对健康行为和信念有积极影响,但与改善健康结局的相关性非常有限。数据和干预措施具有异质性,不适合进行荟萃分析。
在高收入国家,利用基于手机的妊娠健康行为干预措施与积极的信念、行为和健康结局之间存在一定的相关性。更有效的干预措施在功能上是多模式的,并且倾向于专注于健康的妊娠体重增加。