Impact of mHealth interventions on maternal, newborn, and child health from conception to 24 months postpartum in low- and middle-income countries
| dc.contributor.author | Knop, Marianne Ravn | en |
| dc.contributor.author | Nagashima-Hayashi, Michiko | en |
| dc.contributor.author | Lin, Ruixi | en |
| dc.contributor.author | Saing, Chan Hang | en |
| dc.contributor.author | Ung, Mengieng | en |
| dc.contributor.author | Oy, Sreymom | en |
| dc.contributor.author | Yam, Esabelle Lo Yan | en |
| dc.contributor.author | Zahari, Marina | en |
| dc.contributor.author | Yi, Siyan | en |
| dc.date.accessioned | 2025-03-27T21:22:55Z | |
| dc.date.available | 2025-03-27T21:22:55Z | |
| dc.date.issued | 2024 | en |
| dc.description.abstract | Background: Mobile health (mHealth) technologies have been harnessed in low- and middle-income countries (LMICs) to address the intricate challenges confronting maternal, newborn, and child health (MNCH). This review aspires to scrutinize the effectiveness of mHealth interventions on MNCH outcomes during the pivotal first 1000 days of life, encompassing the period from conception through pregnancy, childbirth, and post-delivery, up to the age of 2 years. Methods: A comprehensive search was systematically conducted in May 2022 across databases, including PubMed, Cochrane Library, Embase, Cumulative Index to Nursing & Allied Health (CINAHL), Web of Science, Scopus, PsycINFO, and Trip Pro, to unearth peer-reviewed articles published between 2000 and 2022. The inclusion criteria consisted of (i) mHealth interventions directed at MNCH; (ii) study designs, including randomized controlled trials (RCTs), RCT variations, quasi-experimental designs, controlled before-and-after studies, or interrupted time series studies); (iii) reports of outcomes pertinent to the first 1000 days concept; and (iv) inclusion of participants from LMICs. Each study was screened for quality in alignment with the Cochrane Handbook for Systematic Reviews of Interventions and the Joanne Briggs Institute Critical Appraisal tools. The included articles were then analyzed and categorized into 12 mHealth functions and outcome domain categories (antenatal, delivery, and postnatal care), followed by forest plot comparisons of effect measures. Results: From the initial pool of 7119 articles, we included 131 in this review, comprising 56 RCTs, 38 cluster-RCTs, and 37 quasi-experimental studies. Notably, 62% of these articles exhibited a moderate or high risk of bias. Promisingly, mHealth strategies, such as dispatching text message reminders to women and equipping healthcare providers with digital planning and scheduling tools, exhibited the capacity to augment antenatal clinic attendance and enhance the punctuality of child immunization. However, findings regarding facility-based delivery, child immunization attendance, and infant feeding practices were inconclusive. Conclusions: This review suggests that mHealth interventions can improve antenatal care attendance and child immunization timeliness in LMICs. However, their impact on facility-based delivery and infant feeding practices varies. Nevertheless, the potential of mHealth to enhance MNCH services in resource-limited settings is promising. More context-specific implementation studies with rigorous evaluations are essential. | en |
| dc.description.sponsorship | This systematic review was conducted as part of the formative study to support the development of i-MoMCARE (Innovative Mobile Technology for Maternal and Child Health Care in Cambodia), a cluster randomized controlled trial funded by the Bill & Melinda Gates Foundation. It was also partly funded by the UHS-SSHSPH Integrated Research Programme, Saw Swee Hock School of Public Health, National University of Singapore. This review was funded by the Bill & Melinda Gates Foundation as part of the i-MoMCARE trial (INV-022514) and the UHS-SSHSPH Integrated Research Programme, Saw Swee Hock School of Public Health, National University of Singapore. | en |
| dc.description.status | true | en |
| dc.identifier.other | Scopus:85193338777 | en |
| dc.identifier.other | PubMed:38750486 | en |
| dc.identifier.uri | https://dspace-test.anu.edu.au/handle/1885/733742640 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85193338777&partnerID=8YFLogxK | en |
| dc.language.iso | English | en |
| dc.rights | Publisher Copyright: © The Author(s) 2024. | en |
| dc.source | BMC Medicine | en |
| dc.subject | Digital health | en |
| dc.subject | Healthcare access | en |
| dc.subject | Low- and middle-income countries | en |
| dc.subject | Maternal and child health | en |
| dc.subject | mHealth | en |
| dc.subject | Primary care | en |
| dc.title | Impact of mHealth interventions on maternal, newborn, and child health from conception to 24 months postpartum in low- and middle-income countries | en |
| dc.type | Review article | en |
| local.contributor.affiliation | Knop, Marianne Ravn; National University of Singapore | en |
| local.contributor.affiliation | Nagashima-Hayashi, Michiko; National University of Singapore | en |
| local.contributor.affiliation | Lin, Ruixi; National University of Singapore | en |
| local.contributor.affiliation | Saing, Chan Hang; National University of Singapore | en |
| local.contributor.affiliation | Ung, Mengieng; National University of Singapore | en |
| local.contributor.affiliation | Oy, Sreymom; National University of Singapore | en |
| local.contributor.affiliation | Yam, Esabelle Lo Yan; National University of Singapore | en |
| local.contributor.affiliation | Zahari, Marina; National University of Singapore | en |
| local.contributor.affiliation | Yi, Siyan; National University of Singapore | en |
| local.identifier.citationvolume | 22 | en |
| local.identifier.doi | 10.1186/s12916-024-03417-9 | en |
| local.identifier.pure | 372b2053-1808-44b2-ba55-edbc16e18468 | en |
| local.type.status | Published | en |