Utilization of Mobile Health (mHealth) to Improve Maternal and Child Health in Indonesia: A Systematic Literature Review
Authors
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Marlini Marlini
Institut Kesehatan dan Teknologi Al Insyirah Pekanbaru
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Rifa Yanti
Institut Kesehatan dan Teknologi Al Insyirah Pekanbaru
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Muhammad Dwi Satriyanto
Institut Kesehatan dan Teknologi Al Insyirah Pekanbaru
Keywords:
Abstract
The development of digital technology has created new opportunities to improve maternal and child health services in Indonesia. Various technologies such as mobile health (mHealth), telehealth, Android-based applications, WhatsApp, and Artificial Intelligence (AI)-based chatbots have begun to be utilized to support health education, pregnancy monitoring, postpartum care, breastfeeding practices, and stunting prevention. This study aimed to analyze the utilization of digital technology in improving maternal and child health in Indonesia through a systematic literature review. This study employed a Systematic Literature Review (SLR) approach based on the PRISMA guidelines. Literature searches were conducted in the PubMed, ScienceDirect, and Google Scholar databases, covering publications from 2020 to 2026. After the selection process, 12 primary articles that met the inclusion criteria were obtained and analyzed narratively. The review findings indicate that digital interventions can improve maternal health knowledge, attitudes, and behaviors, enhance antenatal and postnatal care services, support exclusive breastfeeding practices, and contribute to stunting prevention. WhatsApp emerged as the most widely used digital platform due to its accessibility and suitability for the characteristics of Indonesian society. The combination of digital interventions and direct assistance also demonstrated more optimal outcomes compared to single digital interventions. Digital technology has the potential to become an innovative and sustainable strategy for improving maternal and child health in Indonesia and supporting the achievement of the Sustainable Development Goals (SDGs).
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References
Aziz, M. T., & Kurniawan, R. (2024). Mobile Health to Support the Implementation of Primary Healthcare Facilities. Universitas Islam Indonesia.
Dewanti, L. P., Sitoayu, L., & Idarto, A. (2024). Digital tele-counseling for sustainable maternal health services in Indonesia focus on telelactation. IAIC Transactions on Sustainable Digital Innovation, 6(1), 10–20. https://doi.org/10.34306/itsdi.v6i1.673
Erika, K. A., Fadilah, N., Latif, A. I., Hasbiah, N., Juliaty, A., & Achmad, H. (2024). Stunting Super App as an Effort Toward Stunting Management in Indonesia : Delphi and Pilot Study. JMIR HUman Factors, 11, 1–11. https://doi.org/10.2196/54862
DeNicola, N., Grossman, D., Marko, K., Sonalkar, S., Butler Tobah, Y. S., Ganju, N., Witkop, C. T., Henderson, J. T., Butler, J. L., & Lowery, C. (2020). Telehealth interventions to improve obstetric and gynecologic health outcomes: A systematic review. Obstetrics & Gynecology, 135(2), 371–382. https://doi.org/10.1097/AOG.0000000000003646
Faujiah, I. N., & Raraswati, R. P. (2025). AI-powered WhatsApp chatbots for maternal and child health: A quasi-experimental study among pregnant women in Indonesia. Jurnal Cakrawala Promkes, 7(2), 114–122. https://journal2.uad.ac.id/index.php/cp/article/view/13858
Free, C., Phillips, G., Watson, L., Galli, L., Felix, L., Edwards, P., Patel, V., & Haines, A. (2013). The effectiveness of mobile-health technologies to improve health care service delivery processes: A systematic review and meta-analysis. PLoS Medicine, 10(1), e1001363. https://doi.org/10.1371/journal.pmed.1001363
Hazfiarini, A., Islamiah, R., Akter, S., Homer, C. S. E., & Bohren, M. A. (2022). Indonesian midwives ’ perspectives on changes in the provision of maternity care during the COVID-19 pandemic : A qualitative study. Midwifery, 108, 103291. https://doi.org/10.1016/j.midw.2022.103291
Hernawati, E., Hassan, H. C., Nambiar, N., & Hidayati, S. N. (2025). A quasi-experimental study of mobile health intervention: Measuring the impact of Android-based prenatal classes on knowledge and attitudes of first-time mothers in Indonesia. Jurnal Bidan Cerdas, 7(1), 131–139. https://doi.org/10.33860/jbc.v7i1.4184
Lee, S. H., Nurmatov, U. B., Nwaru, B. I., Mukherjee, M., Grant, L., & Pagliari, C. (2016). Effectiveness of mHealth interventions for maternal, newborn and child health in low– and middle–income countries: Systematic review and meta-analysis. Journal of Global Health, 6(1), 010401. https://doi.org/10.7189/jogh.06.010401
Lenel, E., et al. (2022). Can mHealth campaigns improve CCT outcomes? Experimental evidence from SMS-nudges in Indonesia. Journal of Health Economics, 86, 102676. https://doi.org/10.1016/j.jhealeco.2022.102676
Marfuah, D., Sansuwito, T. Bin, & Ayakannu, R. (2025). Smartphone App – Based Exercise for Pregnant Women in Indonesia : Quasi-Experimental Study on Physical Activity , Fear of Childbirth , and Quality of Life Corresponding Author : JMIR MHealth And UnHealth, 13. https://doi.org/10.2196/73105
Ministry of Health of the Republic of Indonesia. (2024). Indonesia Health Profile 2023. Ministry of Health of the Republic of Indonesia. Indonesia Health Profile 2023
Mizawati, A., Effendi, N., Sulastri, D., & Sastra, R. (2026). Developing an integrated model for anemia prevention in prospective brides : A qualitative exploration of multisectoral collaboration in bengkulu city of Indonesia. Clinical Epidemiology and Global Health, 37(July 2025), 102252. https://doi.org/10.1016/j.cegh.2025.102252
Mohammadi, S., Shafiee, M., Faraji, S. N., Rezaeian, M., & Ghaffarian-Bahraman, A. (2022). Contamination of breast milk with lead, mercury, arsenic, and cadmium in Iran: a systematic review and meta-analysis. Biometals : An International Journal on the Role of Metal Ions in Biology, Biochemistry, and Medicine, 35(4), 711–728. https://pubmed.ncbi.nlm.nih.gov/35575819/
Nurhayati, E., Helmyati, S., Hapsari, E. D., Saifudin, I. M. M. Y., & Lewis, E. C. (2026). Combined WhatsApp and face-to-face intervention improves infant and young child feeding (IYCF) practices in Indonesia: A longitudinal quasi-experimental study. Journal of Population and Social Studies, 35, 114–133. https://doi.org/10.25133/JPSSv352027.006
Rahmawati, W., Willcox, J. C., Pligt, P. Van Der, & Worsley, A. (2021). Nutrition information-seeking behaviour of Indonesian pregnant women. Midwifery, 100(May), 103040. https://doi.org/10.1016/j.midw.2021.103040
Rosita, R., Farida, S., & Yulianto, A. (2024). Developing Electronic-Based Maternal and Child Health Monitoring. Journal of Maternal and Child Health, 09, 870–882. https://doi.org/. https://doi.org/10.26911- /thejmch.2024.09.06.02
Siagian, M. (2023). Maternal mortality rate reduction program implementation in Indonesia during COVID-19 pandemic. CoPAR, 1(1), 46–58. https://journal.unpar.ac.id/index.php/CoPAR/article/view/6906
Siswati, T., et al. (2024). Effect of mHealth based intervention on maternal knowledge and practices of child care: A quasi-experimental study. Public Health of Indonesia, 10(2), 95–103. https://doi.org/10.36685/phi.v10i2.756
Syairaji, M., et al. (2024). Trends and causes of maternal mortality in Indonesia. BMC Public Health, 24, 1987. https://doi.org/10.1186/s12889-024-19252-5
UNICEF Indonesia. (2023). Maternal and newborn health in Indonesia. UNICEF Indonesia. https://www.unicef.org/indonesia/maternal-and-newborn-health
United Nations Indonesia. (2025). Sustainable Development Goal 3: Good health and well-being. https://indonesia.un.org/en/sdgs/3/progress
World Health Organization. (2021). Global strategy on digital health 2020–2025. World Health Organization. https://www.who.int/publications/i/item/9789240020924
World Health Organization. (2025). SDG target 3.1 maternal mortality. https://www.who.int/data/gho/data/themes/topics/sdg-target-3-1-maternal-mortality
Wulandari, R., et al. (2022). Postpartum care behavior improvement during COVID-19 pandemic in Indonesia using mobile-health interactive message. Open Access Macedonian Journal of Medical Sciences, 10(E), 1185–1192. https://doi.org/10.3889/oamjms.2022.9008
