@Article{info:doi/10.2196/66580,
author="Wang, Jianing
and Tang, Nu
and Jin, Congcong
and Yang, Jianxue
and Zheng, Xiangpeng
and Jiang, Qiujing
and Li, Shengping
and Xiao, Nian
and Zhou, Xiaojun",
title="Association of Digital Health Interventions With Maternal and Neonatal Outcomes: Systematic Review and Meta-Analysis",
journal="J Med Internet Res",
year="2025",
month="Mar",
day="14",
volume="27",
pages="e66580",
keywords="digital health; telemedicine; telehealth; mobile health; mHealth; mobile phone; intervention; meta-analysis; pregnant women; systematic review",
abstract="Background: Gestational weight gain (GWG) is crucial to maternal and neonatal health, yet many women fail to meet recommended guidelines, increasing the risk of complications. Digital health interventions offer promising solutions, but their effectiveness remains uncertain. This study evaluates the impact of such interventions on GWG and other maternal and neonatal outcomes. Objective: This study aimed to investigate the effect of digital health interventions among pregnant women and newborns. Methods: A total of 2 independent researchers performed electronic literature searches in the PubMed, Embase, Web of Science, and Cochrane Library databases to identify eligible studies published from their inception until February 2024; an updated search was conducted in August 2024. The studies included randomized controlled trials (RCTs) related to maternal and neonatal clinical outcomes. The Revised Cochrane risk-of-bias tool for randomized trials was used to examine the risk of publication bias. Stata (version 15.1; StataCorp) was used to analyze the data. Results: We incorporated 42 pertinent RCTs involving 148,866 participants. In comparison to the routine care group, GWG was markedly reduced in the intervention group (standardized mean difference--0.19, 95{\%} CI --0.25 to --0.13; P<.001). A significant reduction was observed in the proportion of women with excessive weight gain (odds ratio [OR] 0.79, 95{\%} CI 0.69-0.91; P=.001), along with an increase in the proportion of women with adequate weight gain (OR 1.33, 95{\%} CI 1.10-1.64; P=.003). Although no significant difference was reported for the proportion of individuals below standardized weight gain, there is a significant reduction in the risk of miscarriage (OR 0.66, 95{\%} CI 0.46-0.95; P=.03), preterm birth (OR 0.8, 95{\%} CI 0.75-0.86; P<.001), as well as complex neonatal outcomes (OR 0.93, 95{\%} CI 0.87-0.99; P=.02). Other maternal and fetal outcomes were not significantly different between the 2 groups (all P>.05). Conclusions: The findings corroborate our hypothesis that digitally facilitated health care can enhance certain facets of maternal and neonatal outcomes, particularly by mitigating excessive weight and maintaining individuals within a reasonable weight gain range. Therefore, encouraging women to join the digital health team sounds feasible and helpful. Trial Registration: PROSPERO CRD42024564331; https://tinyurl.com/5n6bshjt ",
issn="1438-8871",
doi="10.2196/66580",
url="https://www.jmir.org/2025/1/e66580",
url="https://doi.org/10.2196/66580"
}