{"doi":"10.1186/s12916-024-03417-9","title":"Impact of mHealth interventions on maternal, newborn, and child health from conception to 24 months postpartum in low- and middle-income countries: a systematic review","abstract":"<jats:title>Abstract</jats:title><jats:sec>\n                <jats:title>Background</jats:title>\n                <jats:p>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.</jats:p>\n              </jats:sec><jats:sec>\n                <jats:title>Methods</jats:title>\n                <jats:p>A comprehensive search was systematically conducted in May 2022 across databases, including PubMed, Cochrane Library, Embase, Cumulative Index to Nursing &amp; 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.</jats:p>\n              </jats:sec><jats:sec>\n                <jats:title>Results</jats:title>\n                <jats:p>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.</jats:p>\n              </jats:sec><jats:sec>\n                <jats:title>Conclusions</jats:title>\n                <jats:p>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.</jats:p>\n              </jats:sec>","journal":"BMC Medicine","year":2024,"id":641841,"datarank":0.6591673732008659,"base_score":4.394449154672439,"endowment":4.394449154672439,"self_citation_contribution":0.6591673732008659,"citation_network_contribution":0.0,"self_endowment_contribution":0.6591673732008659,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":80,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":10,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1669058,"name":"Michiko Nagashima-Hayashi","orcid":null,"position":1,"is_corresponding":false},{"id":1669059,"name":"Ruixi Lin","orcid":null,"position":2,"is_corresponding":false},{"id":1669060,"name":"Chan Hang Saing","orcid":null,"position":3,"is_corresponding":false},{"id":1669061,"name":"Mengieng Ung","orcid":null,"position":4,"is_corresponding":false},{"id":1669062,"name":"Sreymom Oy","orcid":null,"position":5,"is_corresponding":false},{"id":1669063,"name":"Esabelle Lo Yan Yam","orcid":null,"position":6,"is_corresponding":false},{"id":1669064,"name":"Marina Zahari","orcid":"0000-0002-1451-6628","position":7,"is_corresponding":false},{"id":819335,"name":"Siyan Yi","orcid":"0000-0002-3045-5386","position":8,"is_corresponding":false},{"id":1669057,"name":"Marianne Ravn Knop","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Impact of mHealth interventions on maternal, newborn, and child health from conception to 24 months postpartum in low- and middle-income countries: a systematic review","abstract":"<jats:title>Abstract</jats:title><jats:sec>\n                <jats:title>Background</jats:title>\n                <jats:p>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.</jats:p>\n              </jats:sec><jats:sec>\n                <jats:title>Methods</jats:title>\n                <jats:p>A comprehensive search was systematically conducted in May 2022 across databases, including PubMed, Cochrane Library, Embase, Cumulative Index to Nursing &amp; 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.</jats:p>\n              </jats:sec><jats:sec>\n                <jats:title>Results</jats:title>\n                <jats:p>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.</jats:p>\n              </jats:sec><jats:sec>\n                <jats:title>Conclusions</jats:title>\n                <jats:p>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.</jats:p>\n              </jats:sec>","is_dataset_classified":null,"base_score":4.356708826689592,"endowment":4.356708826689592,"datacite_reuse_total":10,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"38750486","pmcid":"PMC11095039","openalex_id":"https://openalex.org/W4396928159","authors":[],"funders":[{"funder_name":"Bill and Melinda Gates Foundation","grant_id":"INV-022514","title":null}],"total_grants":1,"fwci":11.0304,"citation_percentile":0.99338479,"influential_citations":0,"citation_trend":[{"year":2024,"count":7},{"year":2025,"count":41},{"year":2026,"count":29}],"oa_status":"gold","license":"cc-by","oa_locations":[{"url":"https://bmcmedicine.biomedcentral.com/counter/pdf/10.1186/s12916-024-03417-9","host_type":"journal"},{"url":"https://bmcmedicine.biomedcentral.com/counter/pdf/10.1186/s12916-024-03417-9","host_type":"publisher"},{"url":"https://link.springer.com/content/pdf/10.1186/s12916-024-03417-9.pdf","host_type":"publisher"},{"url":"https://link.springer.com/article/10.1186/s12916-024-03417-9/fulltext.html","host_type":"publisher"},{"url":"https://doi.org/10.1186/s12916-024-03417-9","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/38750486","host_type":"repository"},{"url":"https://doaj.org/article/db520db687b543e8962c279f11ba991b","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11095039","host_type":"repository"},{"url":"https://scholarbank.nus.edu.sg/handle/10635/248615","host_type":"repository"},{"url":"https://touroscholar.touro.edu/tucph-pubs/55","host_type":"repository"},{"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11095039/pdf/12916_2024_Article_3417.pdf","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC11095039","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC11095039?pdf=render","host_type":"Europe_PMC"}],"fields_of_study":["Mobile Health and mHealth Applications","Global Maternal and Child Health","Telemedicine and Telehealth Implementation","Humans","Telemedicine","Developing Countries","Infant, Newborn","Female","Pregnancy","Infant","Child Health","Infant Health","Maternal Health"],"mesh_terms":["Child Health","Maternal Health","Infant Health","Developing Countries","Female","Humans","Infant","Infant, Newborn","Pregnancy","Telemedicine"],"keywords":["CINAHL","mHealth","Medicine","Psychological intervention","PsycINFO","Randomized controlled trial","Critical appraisal","Childbirth","MEDLINE","Scopus","Postpartum period","Cochrane Library","Systematic review","Family medicine","Pregnancy","Gerontology","Nursing","Alternative medicine","Primary Care","Low- And Middle-income Countries","Maternal And Child Health","Healthcare Access","Digital Health"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Reduced inequalities"}],"linked_datasets":[{"doi":"10.6084/m9.figshare.26994772.v1","title":"Additional file 1 of Impact 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