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      Assessing the Effect of mHealth Interventions in Improving Maternal and Neonatal Care in Low- and Middle-Income Countries: A Systematic Review

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          Abstract

          Introduction

          Maternal and neonatal mortality remains high in many low- and middle-income countries (LMIC). Availability and use of mobile phones is increasing rapidly with 90% of persons in developing countries having a mobile-cellular subscription. Mobile health (mHealth) interventions have been proposed as effective solutions to improve maternal and neonatal health. This systematic review assessed the effect of mHealth interventions that support pregnant women during the antenatal, birth and postnatal period in LMIC.

          Methods

          The review was registered with Prospero (CRD42014010292). Six databases were searched from June 2014–April 2015, accompanied by grey literature search using pre-defined search terms linked to pregnant women in LMIC and mHealth. Quality of articles was assessed with an adapted Cochrane Risk of Bias Tool. Because of heterogeneity in outcomes, settings and study designs a narrative synthesis of quantitative results of intervention studies on maternal outcomes, neonatal outcomes, service utilization, and healthy pregnancy education was conducted. Qualitative and quantitative results were synthesized with a strengths, weaknesses, opportunities, and threats analysis.

          Results

          In total, 3777 articles were found, of which 27 studies were included: twelve intervention studies and fifteen descriptive studies. mHealth interventions targeted at pregnant women increased maternal and neonatal service utilization shown through increased antenatal care attendance, facility-service utilization, skilled attendance at birth, and vaccination rates. Few articles assessed the effect on maternal or neonatal health outcomes, with inconsistent results.

          Conclusion

          mHealth interventions may be effective solutions to improve maternal and neonatal service utilization. Further studies assessing mHealth’s impact on maternal and neonatal outcomes are recommended. The emerging trend of strong experimental research designs with randomized controlled trials, combined with feasibility research, government involvement and integration of mHealth interventions into the healthcare system is encouraging and can pave the way to improved decision making on best practice implementation of mHealth interventions.

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          Most cited references23

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          3.6 million neonatal deaths--what is progressing and what is not?

          Each year 3.6 million infants are estimated to die in the first 4 weeks of life (neonatal period)--but the majority continue to die at home, uncounted. This article reviews progress for newborn health globally, with a focus on the countries in which most deaths occur--what data do we have to guide accelerated efforts? All regions are advancing, but the level of decrease in neonatal mortality differs by region, country, and within countries. Progress also differs by the main causes of neonatal death. Three major causes of neonatal deaths (infections, complications of preterm birth, and intrapartum-related neonatal deaths or "birth asphyxia") account for more than 80% of all neonatal deaths globally. The most rapid reductions have been made in reducing neonatal tetanus, and there has been apparent progress towards reducing neonatal infections. Limited, if any, reduction has been made in reducing global deaths from preterm birth and for intrapartum-related neonatal deaths. High-impact, feasible interventions to address these 3 causes are summarized in this article, along with estimates of potential for lives saved. A major gap is reaching mothers and babies at birth and in the early postnatal period. There are promising community-based service delivery models that have been tested mainly in research studies in Asia that are now being adapted and evaluated at scale and also being tested through a network of African implementation research trials. To meet Millennium Development Goal 4, more can and must be done to address neonatal deaths. A critical step is improving the quantity, quality and use of data to select and implement the most effective interventions and strengthen existing programs, especially at district level. Copyright © 2010 Elsevier Inc. All rights reserved.
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            Mobile phones improve antenatal care attendance in Zanzibar: a cluster randomized controlled trial

            Background Applying mobile phones in healthcare is increasingly prioritized to strengthen healthcare systems. Antenatal care has the potential to reduce maternal morbidity and improve newborns’ survival but this benefit may not be realized in sub-Saharan Africa where the attendance and quality of care is declining. We evaluated the association between a mobile phone intervention and antenatal care in a resource-limited setting. We aimed to assess antenatal care in a comprehensive way taking into consideration utilisation of antenatal care as well as content and timing of interventions during pregnancy. Methods This study was an open label pragmatic cluster-randomised controlled trial with primary healthcare facilities in Zanzibar as the unit of randomisation. 2550 pregnant women (1311 interventions and 1239 controls) who attended antenatal care at selected primary healthcare facilities were included at their first antenatal care visit and followed until 42 days after delivery. 24 primary health care facilities in six districts were randomized to either mobile phone intervention or standard care. The intervention consisted of a mobile phone text-message and voucher component. Primary outcome measure was four or more antenatal care visits during pregnancy. Secondary outcome measures were tetanus vaccination, preventive treatment for malaria, gestational age at last antenatal care visit, and antepartum referral. Results The mobile phone intervention was associated with an increase in antenatal care attendance. In the intervention group 44% of the women received four or more antenatal care visits versus 31% in the control group (OR, 2.39; 95% CI, 1.03-5.55). There was a trend towards improved timing and quality of antenatal care services across all secondary outcome measures although not statistically significant. Conclusions The wired mothers’ mobile phone intervention significantly increased the proportion of women receiving the recommended four antenatal care visits during pregnancy and there was a trend towards improved quality of care with more women receiving preventive health services, more women attending antenatal care late in pregnancy and more women with antepartum complications identified and referred. Mobile phone applications may contribute towards improved maternal and newborn health and should be considered by policy makers in resource-limited settings. Trial registration ClinicalTrials.gov, NCT01821222.
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              Special delivery: an analysis of mHealth in maternal and newborn health programs and their outcomes around the world.

              Mobile health (mHealth) encompasses the use of mobile telecommunication and multimedia into increasingly mobile and wireless health care delivery systems and has the potential to improve tens of thousands of lives each year. The ubiquity and penetration of mobile phones presents the opportunity to leverage mHealth for maternal and newborn care, particularly in under-resourced health ecosystems. Moreover, the slow progress and funding constraints in attaining the Millennium Development Goals for child and maternal health encourage harnessing innovative measures, such as mHealth, to address these public health priorities. This literature review provides a schematic overview of the outcomes, barriers, and strategies of integrating mHealth to improve prenatal and neonatal health outcomes. Six electronic databases were methodically searched using predetermined search terms. Retrieved articles were then categorized according to themes identified in previous studies. A total of 34 articles and reports contributed to the findings with information about the use and limitations of mHealth for prenatal and neonatal healthcare access and delivery. Health systems have implemented mHealth programs to facilitate emergency medical responses, point-of-care support, health promotion and data collection. However, the policy infrastructure for funding, coordinating and guiding the sustainable adoption of prenatal and neonatal mHealth services remains under-developed. The integration of mobile health for prenatal and newborn health services has demonstrated positive outcomes, but the sustainability and scalability of operations requires further feedback from and evaluation of ongoing programs.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                4 May 2016
                2016
                : 11
                : 5
                : e0154664
                Affiliations
                [1 ]Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Centre, Utrecht, The Netherlands
                [2 ]School of Public Health, University of Ghana, Legon, Accra, Ghana
                [3 ]Department of Community Medicine, Institute of Health and Society, University of Oslo, Oslo, Norway
                [4 ]Afya Connect(4)Change, Change Lake Zone, Mwanza, Tanzania
                [5 ]International Institute for Communication and Development, The Hague, The Netherlands
                [6 ]Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
                University of Rochester, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: SFVS JLB AB KKG. Performed the experiments: SFVS AB ASM MV. Analyzed the data: SFVS. Wrote the paper: SFVS. Critically reviewed and approved the final version of the manuscript: SFVS JLB AB KKG MAC ASM MV.

                Article
                PONE-D-15-28893
                10.1371/journal.pone.0154664
                4856298
                27144393
                73f8e529-261e-4bf2-a5fa-a8234fb7c183
                © 2016 Sondaal et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 1 July 2015
                : 5 April 2016
                Page count
                Figures: 3, Tables: 5, Pages: 26
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Pregnancy
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Pregnancy
                Medicine and Health Sciences
                Critical Care and Emergency Medicine
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Breast Feeding
                Medicine and Health Sciences
                Pediatrics
                Neonatology
                Breast Feeding
                Engineering and Technology
                Equipment
                Communication Equipment
                Cell Phones
                Research and Analysis Methods
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Antenatal Care
                Medicine and Health Sciences
                Health Care
                Health Care Facilities
                Research and Analysis Methods
                Database and Informatics Methods
                Database Searching
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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