Cited by 161Mobile Health and mHealth ApplicationsMobile Learning in EducationICT in Developing Communities

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Effectiveness and Appropriateness of mHealth Interventions for Maternal and Child Health: Systematic Review

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Chen, Huan, Chai, Yanling, Dong, Le, Niu, Wenyi, Zhang, Puhong·2018·JMIR mHealth and uHealth

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Abstract

BACKGROUND The application of mobile health (mHealth) technology in reproductive, maternal, newborn, and child health (RMNCH) is increasing worldwide. However, best practice and the most effective mHealth interventions have not been reviewed systematically. OBJECTIVE A systematic review and meta-analysis of studies of mHealth interventions for RMNCH around the world were conducted to investigate their characteristics as well as the features and effectiveness of mHealth interventions. METHODS Studies of mHealth interventions for RMNCH between January 2011 and December 2016 were retrieved from 6 databases (PubMed, EMBASE, Global Health, China National Knowledge Infrastructure, VIP Database for Chinese Technical Periodicals, and Wanfang Data Knowledge Service Medium). Comparable studies were included in a random-effects meta-analysis for both exclusive breastfeeding (EBF) and antenatal checks (ANC). Descriptive analyses were conducted for mHealth studies with a range of study designs. RESULTS Analyses of 245 studies were included, including 51 randomized controlled trials (RCTs). Results showed that there are increasing numbers of studies on mHealth interventions for RMNCH. Although 2 meta-analysis, one with 2 RCTs on EBF (odds ratio [OR] 2.03, 95% CI 1.34-3.08, I2=25%) and the other with 3 RCTs on ANC (OR 1.43, 95% CI 1.13-1.79, I2=78%), showed that mHealth interventions are more effective than usual care, almost half (43%) of RCTs showed negative or unclear results on mHealth interventions. Functions described in mHealth interventions were diverse, and the health stages covered were broad. However, single function or single stage appeared to be dominant among mHealth interventions compared with multiple functions or stages. CONCLUSIONS More rigorous evaluations are needed to draw consistent conclusions and to analyze mHealth products with multiple functions, especially those popular in the app markets.

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Figure 1 Identification process for eligible studies.CC BY · PubMed Central

Figure 2 Trend of studies published from 2011 to 2016. Interventions combined with SMS and App were counted twice in each medium.CC BY · PubMed Central

Figure 3 Meta-analysis of the effect of mHealth intervention versus routine prenatal care on exclusive breastfeeding for 6 months based on two studies undertaken in Nigeria and China.CC BY · PubMed Central

Figure 4 Meta-analysis of the effect of mHealth intervention versus routine prenatal care on four or more antenatal check rates based on three studies undertaken in Zanzibar, China, and Ethiopia.CC BY · PubMed Central

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“…systematic reviews either tend to focus on the effectiveness of mHealth interventions in the developing world, such as reviews by Lee et al [13], Sondaal et al [14], and Dahdah et al [15], or they focus on a single condition, such as a study on mHealth interventions for psychiatric…”
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Show all 29 references

Research works printed but not linked: 2

Luo, M, 2013, Effectiveness of health education intervention through mobile telephone message in pregnancy
Yao, N, 2012, Chinese Journal of Medical Library and Information Science, 18

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Authors: Chen, H., Chai, Y., Dong, L., Niu, W., & Zhang, P.
Affiliations: Peking University (CN)
Hebei Medical University (CN)
Corresponding author: Zhang, Puhong
ORCID: Chen, Huan
Chai, Yanling
Dong, Le
Niu, Wenyi
Zhang, Puhong
Venue: JMIR mHealth and uHealth
Publisher: JMIR Publications Inc.
Published: 2018-01-09
Volume: 6
Issue: 1
Pages: e7
ISSN: 2291-5222 (ISSN-L)
DOI: 10.2196/mhealth.8998
PMC: PMC5780618
OpenAlex: W2783413804
Cited by: 161
References: 29
Citations by year: 2026: 13 · 2025: 13 · 2024: 26 · 2023: 19 · 2022: 22 · 2021: 12 · 2020: 32 · 2019: 13 · 2018: 11
FWCI: 3.10
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
Locations: JMIR mhealth and uhealth (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics: Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
Keywords: mobile health, mobile health intervention, maternal and child health, reproductive, maternal, newborn and child health, exclusive breastfeeding, prenatal care, intervention effectiveness, intervention appropriateness

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Effectiveness and Appropriateness of mHealth Interventions for Maternal and Child Health: Systematic Review

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