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Association of Digital Health Interventions With Maternal and Neonatal Outcomes: Systematic Review and Meta-Analysis
Jianing Wang1, Nu Tang2, Congcong Jin3
1Department of Maternal and Child Information Management, Women and Children's Hospital of Chongqing Medical University, Chonqing, China.
Digital health interventions effectively reduce excessive gestational weight gain in pregnant women. These interventions also lower risks of miscarriage and preterm birth, improving maternal and neonatal health outcomes.
Area of Science:
- Maternal-fetal Medicine
- Digital Health
- Public Health
Background:
- Gestational weight gain (GWG) significantly impacts maternal and neonatal health.
- Deviations from recommended GWG guidelines increase complication risks.
- Digital health interventions show promise but require efficacy evaluation.
Purpose of the Study:
- To assess the impact of digital health interventions on GWG.
- To evaluate effects on other maternal and neonatal clinical outcomes.
Main Methods:
- Systematic review and meta-analysis of 42 randomized controlled trials (RCTs).
- Searched major databases (PubMed, Embase, Web of Science, Cochrane Library) up to August 2024.
- Assessed risk of bias using the Revised Cochrane tool; data analyzed with Stata.
Main Results:
- Digital interventions significantly reduced GWG (SMD -0.19) and excessive GWG (OR 0.79).
- Increased adequate GWG (OR 1.33) and reduced risks of miscarriage (OR 0.66) and preterm birth (OR 0.8).
- Reduced complex neonatal outcomes (OR 0.93); other outcomes showed no significant differences.
Conclusions:
- Digitally facilitated healthcare improves specific maternal and neonatal outcomes.
- Interventions are effective in mitigating excessive GWG and maintaining appropriate weight gain.
- Integrating women into digital health teams is feasible and beneficial.
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