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

https://doi.org/10.33860/jbc.v7i1.4184

Authors

  • Erni Hernawati Faculty of Midwifery, Institute of Health Science Rajawali, West Java, Indonesia
  • Hafizh Che Hassan Faculty of Nursing, Lincoln University College, Selangor, Malaysia
  • Nisha Nambiar Faculty of Nursing, Lincoln University College, Selangor, Malaysia
  • Sofa Nurul Hidayati Faculty of Midwifery, Institute of Health Science Rajawali, West Jawa, Indonesia

Keywords:

maternal health, digital health, m-health, pregnancy, health education

Abstract

Introduction: Maternal mortality remains a critical global health challenge, with approximately 287,000 pregnancy-related deaths recorded in 2020 (WHO, 2024). In Indonesia, where maternal healthcare access varies significantly, digital interventions may offer scalable solutions. This quasi-experimental study evaluates the effectiveness of an Android-based prenatal education application in improving knowledge and attitudes among first-time mothers in Cimahi, West Java. By comparing app-based learning with traditional methods, we assess whether mobile technology can help bridge gaps in maternal health education and contribute to safer pregnancy outcomes. Methods: This quasi-experimental study involved 120 first-trimester primigravida women (60 intervention, 60 control) in Cimahi City. The independent variable was the use of an Android-based prenatal education application; dependent variables were maternal knowledge and attitudes. Instruments included a validated 20-item knowledge test and a 10-item attitude Likert scale. Data were analyzed using paired and independent t-tests, as well as SmartPLS path modeling.  Results: In the intervention group, knowledge scores increased from 19.8 ± 2.1 to 34.3 ± 2.0, and attitude scores improved from 8.2 ± 1.2 to 13.3 ± 2.8 (p < 0.001). The control group showed smaller, non-significant changes (knowledge: 19.5 ± 2.2 to 21.5 ± 2.6; attitude: 7.3 ± 1.5 to 8.3 ± 1.6). Post-test differences between groups were statistically significant (p < 0.001). Conclusion: The Android-based prenatal education application significantly enhanced the knowledge and attitudes of first-time pregnant women. These findings support the integration of digital education into routine antenatal care services.

Downloads

Download data is not yet available.

References

Alam, C. El, Abou-Abbas, L., Ramadan, M. S., & Asmar, M. K. (2025. Exploring the barriers to accessing antenatal care at the primary health care center level of a tertiary hospital in Lebanon: a qualitative study. BMC Health Services Research, 25(1, 1–14. https://doi.org/10.1186/s12913-025-12444-y

Balasoiu, A. M., Olaru, O. G., Sima, R. M., & Ples, L. (2021. How did prenatal education impact women’s perception of pregnancy and postnatal life in a romanian population. Medicina (Lithuania, 57(6, 1. https://doi.org/10.3390/medicina57060581

Choudhury, A., & Choudhury, M. (2022. Mobile for mothers mHealth intervention to augment maternal health awareness and behavior of pregnant women in tribal societies: randomized quasi-controlled study. JMIR MHealth and UHealth, 10(9, 1. https://doi.org/10.17605/OSF.IO/9U8D5

Dewau, R., Muche, A., Fentaw, Z., Yalew, M., Bitew, G., Amsalu, E. T., Arefaynie, M., & Mekonen, A. M. (2021. Time to initiation of antenatal care and its predictors among pregnant women in Ethiopia: Cox-gamma shared frailty model. Plos One, 16(2, 1–18. https://doi.org/10.1371/journal.pone.0246349

Dinkes Cimahi. (2021. Profil Kesehatan Kota Cimahi Tahun 2021.

Dinkes Jabar. (2023. Profil Kesehatan Provinsi Jawa Barat Tahun 2023.

Ernawati, I. F., Wardani, R., Indasah, I., & Kumalasari, N. (2022. Penyuluhan Kelas Ibu Hamil di UPT. Puskesmas Sei Tatas Kecamatan Pulau Petak Kabupaten Kapuas Kalimantan Tengah. Jurnal Pengabdian Mandiri, 1(8, 1557–1568. https://bajangjournal.com/index.php/JPM/article/view/3376

Filip, R., Gheorghita Puscaselu, R., Anchidin-Norocel, L., Dimian, M., & Savage, W. K. (2022. Global challenges to public health care systems during the COVID-19 pandemic: a review of pandemic measures and problems. Journal of Personalized Medicine, 12(8, 1295–1317. https://doi.org/10.3390/jpm12081295

Free, C., Phillips, G., Felix, L., Galli, L., Patel, V., & Edwards, P. (2010. The effectiveness of M-health technologies for improving health and health services: A systematic review protocol. BMC Research Notes, 3(250, 1. https://doi.org/10.1186/1756-0500-3-250

Fuada, N., & Setyawati, B. (2015. Pelaksanaan kelas ibu hamil di Indonesia. Indonesian Journal of Reproductive Health, 6(2, 67–75. https://media.neliti.com/media/publications-test/107594-pelaksanaan-kelas-ibu-hamil-di-indonesia-dc03e1b8.pdf

Indonesian Health Profile. (2018. Profil Kesehatan Indonesia (2018. https://kemkes.go.id/id/category-download/profil-kesehatan

Lubis, K., Simanjuntak, P., & Manik, D. J. (2022. Faktor-Faktor Yang Mempengaruhi Rendahnya Kunjungan Antenatal Care Di Puskesmas Gunung Baringin Kec. Panyabungan Timur Mandailing Natal Tahun 2022. Jurnal Ilmu Kedokteran Dan Kesehatan Indonesia, 2(3, 29–38. https://doi.org/10.55606/jikki.v2i3.662

Moise, I. K., Ivanova, N., Wilson, C., Wilson, S., Halwindi, H., & Spika, V. M. (2023. Lessons from digital technology-enabled health interventions implemented during the coronavirus pandemic to improve maternal and birth outcomes: a global scoping review. BMC Pregnancy and Childbirth, 23(1, 1. https://doi.org/10.1186/s12884-023-05454-3

Peprah, P., Abalo, E. M., Agyemang-Duah, W., Gyasi, R. M., Reforce, O., Nyonyo, J., Amankwaa, G., Amoako, J., & Kaaratoore, P. (2019. Knowledge, attitude, and use of mHealth technology among students in Ghana: A university-based survey. BMC Medical Informatics and Decision Making, 19(1, 1. https://doi.org/10.1186/s12911-019-0947-0

Perera, C. (2012. The Evolution of E-Health – Mobile Technology and mHealth. Journal of Mobile Technology in Medicine, 1(1, 1–2. http://dx.doi.org/10.7309/jmtm.1

Sener, D. K., & Cimete, G. (2016. A program based on Social Cognitive Theory and Smith’s model of health and illness and its effect on maternal self-efficacy and child behavior. Children and Youth Services Review, 64, 82–90. https://doi.org/10.1016/j.childyouth.2016.03.007

Sharma, A., Harrington, R. A., McClellan, M. B., Turakhia, M. P., Eapen, Z. J., Steinhubl, S., Mault, J. R., Majmudar, M. D., Roessig, L., Chandross, K. J., Green, E. M., Patel, B., Hamer, A., Olgin, J., Rumsfeld, J. S., Roe, M. T., & Peterson, E. D. (2018. Using Digital Health Technology to Better Generate Evidence and Deliver Evidence-Based Care. Journal of the American College of Cardiology, 71(23, 2680–2690. https://doi.org/10.1016/j.jacc.2018.03.523

Sharma, P., & Kaur, P. D. (2017. Effectiveness of web-based social sensing in health information dissemination—A review. Telematics and Informatics, 34(1, 194–219. https://doi.org/10.1016/j.tele.2016.04.012

Shi, L., Yuan, L., Zhou, L., Zhang, S., & Lei, X. (2021. Study on the Impact of Online Courses for Pregnant and Lying-In Women on Maternal and Infant Health during the Epidemic. Journal of Healthcare Engineering, 2023(1, 1–11. https://doi.org/10.1155/2021/4019210

Tanjung, F., Effendy, I., Niswati Utami, T., & Syafitri Nasution, R. (2024. Analisis Faktor yang Mempengaruhi Kunjungan Antenatal Care (ANC. Jurnal Kebidanan Khatulistiwa, 10(2, 79–90. https://doi.org/10.30602/jkk.v10i2.1317

Terry, K. (2023. Taking Advantage of Health IT: Applying New Technology, Care Collaboration, and Telemedicine. The Journal of Medical Practice Management, 38(4, 184–191. https://doi.org/10.55834/halmj.3831836586

Vamos, C. A., Merrell, L., Detman, L., Louis, J., & Daley, E. (2019. Exploring Women’s Experiences in Accessing, Understanding, Appraising, and Applying Health Information During Pregnancy. Journal of Midwifery and Women’s Health, 64(4, 472–480. https://doi.org/10.1111/jmwh.12965

WHO. (2025, April 7. Maternal mortality. World Health Organization. https://www.who.int/news-room/fact-sheets/detail/maternal-mortality

Downloads

Published

2025-06-25

How to Cite

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

Issue

Section

Articles