The DOI matches its Crossref record; 18 of the 21 references it cites were found in a registry or an index.
Special Delivery: An Analysis of mHealth in Maternal and Newborn Health Programs and Their Outcomes Around the World
Abstract
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Adapting effective mHealth programs for multiple minority populations requires attention to relevant cultural characteristics [2-4,6,9,10].”
From Development of a Culturally Tailored Text Message Maternal Health Program: TextMATCH (2017) · cites this paper as [9]
Citations
Cites
Istepanian, R. S. H., Jovanov, E., & Zhang, Y. T. (2004) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2004.840019 · Cited by 766
mHealth - an Ultimate Platform to Serve the Unserved
Akter, S., & RAY, P. K. (2010) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638697 · Cited by 242
The Case for mHealth in Developing Countries
Mechael, P. N. (2009) · Innovations: Technology, Governance, Globalization · doi:10.1162/itgg.2009.4.1.103 · Cited by 223
Chib, A. (2010) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2010.01515.x · Cited by 155
IMIA Yearbook of Medical Informatics 2013
(2013) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638864 · Cited by 140
Jareethum, R., Titapant, V., Chantra, T., Sommai, V., Chuenwattana, P., & Jirawan, C. (2008) · PubMed · Cited by 130
Midwives and mobiles: using ICTs to improve healthcare in Aceh Besar, Indonesia1
Chib, A. I., Lwin, M. O., Ang, J., Lin, H., & Santoso, F. (2008) · Asian Journal of Communication · doi:10.1080/01292980802344182 · Cited by 127
Application of smart phone in "Better Border Healthcare Program": A module for mother and child care
Kaewkungwal, J., Singhasivanon, P., Khamsiriwatchara, A., Sawang, S., Meankaew, P., & Wechsart, A. (2010) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-10-69 · Cited by 126
Enhancing ‘M-Health’ With South-To-South Collaborations
Curioso, W. H., & Mechael, P. (2010) · Health Affairs · doi:10.1377/hlthaff.2009.1057 · Cited by 95
A Doctor in Your Pocket: Health Hotlines in Developing Countries
Ivatury, G., Moore, J., & Bloch, A. (2009) · Innovations Technology Governance Globalization · doi:10.1162/itgg.2009.4.1.119 · Cited by 71
Research works printed but not linked: 13
- International Telecommunications Union. (2010). ICT facts and figures: The world in 2010. Geneva: International Telecommunications Union.
- Vital Wave Consulting. (2008). mHealth in the global south: Landscape analysis. Washington, D.C. and Berkshire, UK: Vodafone Foundation—United Nations Foundations Partnership.
- Sloninsky, D., & Mechael, P. (2008). Towards the development of an mhealth strategy: A literary review. New York, USA: World Health Organization and Earth Institute.
- Consulting, Vital. Wave. (2009). mHealth for development: The opportunity of mobile technology for healthcare in the developing world. Washington, D.C. and Berkshire, UK: UN Foundation-Vodafone Foundation Partnership.
- Chetley, A. (2006). Improving health, connecting people: The role of ICTs in the health sector of developing countries. In InfoDev (Ed.). Washington, DC: World Bank. http://www.infodev.org/en/Publication.84.html .
- Mechael, P., & Dodowa Health Resarch Center. (2009). MoTech: mHealth ethnography report. New York: Grameen Foundation.
- Mechael, P., Batavia, H., Kaonga, N., Searle, S., Kwan, A., & Goldberger, A. (2010). Barriers and gaps affecting mhealth in low and middle income countries: Policy white paper. New York: Earth Institute.
- Partnership for Maternal, Newborn, Child Health, University of Aberdeen. (2010). Sharing knowledge for action on maternal, newborn and child health. Geneva, Switzerland: PMNCH.
- Commonwealth Telecommunications Organization. (2008). Assessement of M-content reqiurements in India and Uganda. Stockholm, Sweden: Ericsson.
- GSMA Development Fund. (2008). Lady health workers. London, United Kingdom: GSMA Development Fund.
- Research, Microsoft. (2007). Healthline offers speech-based access to medical information. Pittsburgh: Microsoft Corporation.
- EF, U. N. I. C. (2005). Maternal and perinatal death inquiry and response: Empowering communities to avert maternal deaths in India. Geneva, Switzerland: UNICEF.
- Mechael, P. (2008). mHealth in the millennium village project. New York: Earth Institute.
Cited by
Sorted by citations
Labrique, A. B., Vasudevan, L., Kochi, E., Fabricant, R., & Mehl, G. (2013) · Global Health: Science and Practice · doi:10.9745/ghsp-d-13-00031 · Cited by 601
Lee, S. H., Nurmatov, U. B., Nwaru, B. I., Mukherjee, M., Grant, L., & Pagliari, C. (2016) · Journal of Global Health · doi:10.7189/jogh.06.010401 · Cited by 456
Sondaal, S. F. V., Browne, J. L., Amoakoh-Coleman, M., Borgstein, A., Miltenburg, A. S., Verwijs, M., & Klipstein-Grobusch, K. (2016) · PLOS ONE · doi:10.1371/journal.pone.0154664 · Cited by 441
Chib, A., van Velthoven, M. H., & Car, J. (2015) · Journal of Health Communication · doi:10.1080/10810730.2013.864735 · Cited by 384
Mobile phones improve antenatal care attendance in Zanzibar: a cluster randomized controlled trial
Lund, S., Nielsen, B. B., Hemed, M., Boas, I. M., Said, A., Said, K., Makungu, M. H., & Rasch, V. (2014) · BMC Pregnancy and Childbirth · doi:10.1186/1471-2393-14-29 · Cited by 301
Metadata
- Authors
- Tamrat, T., & Kachnowski, S.
- Affiliations
- Indian Institute of Technology Delhi (IN)
- Corresponding author
- Tamrat, Tigest
- Kachnowski, Stan
- Venue
- Maternal and Child Health Journal
- Published
- 2011-06-19
- Volume
- 16
- Issue
- 5
- Pages
- 1092-1101
- ISSN
- 1092-7875 (ISSN-L)
- 1573-6628
- OpenAlex
- W2156951647
- Cited by
- 312
- References
- 21
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 18 · 2023: 11 · 2022: 14 · 2021: 14 · 2020: 23 · 2019: 25 · 2018: 42 · 2017: 43 · 2016: 26 · 2015: 30 · 2014: 32 · 2013: 12 · 2012: 9
- FWCI
- 2.86
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Maternal and Child Health Journal (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Keywords
- mobile health, maternal health, newborn health, prenatal care, neonatal care, health system barriers, health promotion, health data collection, emergency medical response, Millennium Development Goals, program sustainability, scalability, resource-limited settings
- MeSH terms
- Child, Delivery of Health Care, Female, Health Promotion, Humans, Infant, Newborn, Maternal Health Services, Maternal-Child Health Centers, Pregnancy, Telemedicine, Cell Phone
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review