Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: Jul 21, 2025
Date Accepted: Feb 17, 2026

The final, peer-reviewed published version of this preprint can be found here:

Effectiveness of mHealth-Based Nutritional Interventions on Iron Status of Pregnant Women: Systematic Review of Randomized Controlled Trials

Belay SA, Bezabih AM, Petegem WV, Matthys C

Effectiveness of mHealth-Based Nutritional Interventions on Iron Status of Pregnant Women: Systematic Review of Randomized Controlled Trials

JMIR Mhealth Uhealth 2026;14:e81001

DOI: 10.2196/81001

PMID: 41955565

Effectiveness of Mobile Health-based Nutritional Interventions on Iron Status of Pregnant Women: A Systematic Review of Randomized Controlled Trials

  • Saba Abraham Belay; 
  • Afework Mulugeta Bezabih; 
  • Wim Van Petegem; 
  • Christophe Matthys

ABSTRACT

Background:

Anemia is a global health concern, with disproportionately higher prevalence among pregnant women in low-resource regions. International preventive and curative guidelines are available, although their implementation is questionable. To optimize implementation, the use of mHealth-based nutritional interventions is a potential option.

Objective:

To review available evidence on the effectiveness of mHealth-based nutritional interventions on the iron status of pregnant women.

Methods:

Searches were conducted in Embase, CINAHL, Cochrane Library, PubMed, Web of Science, Scopus, and supplemented by snowballing techniques to identify additional relevant studies from citation lists. Methodological quality of included studies was assessed (Risk of Bias (R.O.B 2.0 tool). The primary endpoint was the change in the mean hemoglobin concentration. Effect sizes were calculated as standardized mean differences (SMD), including Cohen’s d and Hedges’ g.

Results:

Of the 14,826 studies identified, only 11 randomized controlled trials were included. These studies employed different modes of delivery, including mobile phone calls (n=1), text messaging (SMS) (n=3), and mobile applications (n=4), with some utilizing more than two modes (n=3). The effect of mHealth-based nutritional interventions on iron status varied significantly. Four studies demonstrated a large effect size (2.61, 2.2, 1.61, 0.83), with three relying on WhatsApp Messenger as a mHealth delivery mode. Notably, interventions with the largest effect size (ES >0.8) achieved clinically significant improvements in Hb concentration, exceeding 1g/dL within- and between-group differences. However, including behavioral change theories and nutrition-sensitive components were not consistently associated with larger effect sizes. Due to the high heterogeneity (I2 >95%), attributed to variations in mHealth delivery modes, functions and interactive features across the included studies, meta-analysis could not be performed.

Conclusions:

This review demonstrates that mHealth-supported nutritional interventions effectively optimize Hb concentration in pregnant women. While text messaging was less effective in improving Hb concentration, combining it with another mHealth delivery mode, such as phone calls, improved intervention effectiveness. However, the variability in mHealth delivery modes, functions, and interactive features underscores the need for tailored strategies that account for context-specific challenges, digital literacy, and access to technology to enhance effectiveness. Clinical Trial: PROSPERO (CRD42025627769)


 Citation

Please cite as:

Belay SA, Bezabih AM, Petegem WV, Matthys C

Effectiveness of mHealth-Based Nutritional Interventions on Iron Status of Pregnant Women: Systematic Review of Randomized Controlled Trials

JMIR Mhealth Uhealth 2026;14:e81001

DOI: 10.2196/81001

PMID: 41955565

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.