Peningkatan Kualitas Pelayanan Klinik Pratama dengan Aplikasi Mommy-Be

Authors

  • Azniah Syam Universitas Mega Buana
  • Nilawati Uly Universitas Mega Buana
  • Abdul Malik Universitas Mega Buana
  • Imelda Iskandar Universitas Mega Buana
  • Lina Fitriani Universitas Mega Buana
  • Fatimah Jamir Universitas Mega Buana
  • Sharto Batti Universitas Mega Buana

DOI:

https://doi.org/10.55606/jpikes.v5i3.6053

Keywords:

Breastfeeding, Health Services, mHealth, Mommy-Be, Primary Clinic

Abstract

Maternal and child health services in primary care facilities often face challenges in postpartum monitoring and lactation support. Information technology-based innovation is needed to efficiently improve service quality. This community service program aims to implement the Mommy-Be app, an mHealth app that supports lactation and infant growth and development, at the Zamzam Health Clinic (KSZ) as a model for innovation at Primary Clinics. Implementation methods included socialization of the app to health workers, hands-on training on how to use the app, and evaluation through pre- and post-knowledge tests and user satisfaction surveys. The results showed an increase in health workers' understanding of digital services, and all participants successfully used the Mommy-Be app's features in simulations. The clinic expressed its commitment to integrating Mommy-Be into routine services, accompanied by high enthusiasm for adopting technological innovations. This implementation contributed to improving the quality of postpartum and lactation care and supporting the Sustainable Development Goals (SDGs) in maternal-child health. The program also involved university students through the MBKM scheme, strengthening collaboration between academia and health services. In conclusion, the implementation of Mommy-Be successfully empowered health workers and encouraged digital transformation at the primary care level. In the future, the program has the potential to be replicated in other clinics with continued support for continued benefits to the community.

Downloads

Download data is not yet available.

References

Arakawa, Y., Haseda, M., Inoue, K., Nishioka, D., Kino, S., Nishi, D., Hashimoto, H., & Kondo, N. (2023). Effectiveness of mHealth consultation services for preventing postpartum depressive symptoms: A randomized clinical trial. BMC Medicine, 21(1), 221. https://doi.org/10.1186/s12916-023-02918-3

Glasser, S., & Lerner-Geva, L. (2019). Focus on fathers: Paternal depression in the perinatal period. Perspectives in Public Health, 139(4). https://doi.org/10.1177/1757913918790597

Hariyani, D., Hariyani, P., & Mishra, S. (2025). Digital technologies for the Sustainable Development Goals. Green Technologies and Sustainability, 3(3), 100202. https://doi.org/10.1016/j.grets.2025.100202

Iskandar, I., & Syam, A. (2024). Father support, postpartum depression, and breastfeeding weaning time: A structural equational model. Nurse Media Journal of Nursing, 14(2), 223–234. https://doi.org/10.14710/nmjn.v14i2.54272

Kementerian Kesehatan Republik Indonesia. (2024). Blueprint for digital health transformation strategy 2024 for Indonesia (Vol. I). https://repository.kemkes.go.id/book/710

Laws, R. A., Cheng, H., Rossiter, C., Kuswara, K., Markides, B. R., Size, D., Corcoran, P., Ong, K., & Denney‐Wilson, E. (2023). Perinatal support for breastfeeding using mHealth: A mixed methods feasibility study of the My Baby Now app. Maternal & Child Nutrition, 19(2). https://doi.org/10.1111/mcn.13482

Leng, R. N. W., Shorey, S., Yin, S. L. K., Chan, C. P. P., & He, H.-G. (2019). Fathers’ involvement in their wives’/partners’ breastfeeding: A descriptive correlational study. Journal of Human Lactation, 35(4), 801–812. https://doi.org/10.1177/0890334419830988

Lima, K. S. V., Carvalho, M. M. de B., Lima, T. M. C., Alencar, D. de C., De Sousa, A. R., & Pereira, Á. (2021). Father’s participation in prenatal care and childbirth: Contributions of nurses’ interventions. Investigación y Educación en Enfermería, 39(2). https://doi.org/10.17533/udea.iee.v39n2e13

Lin, T. T. C., & Bautista, J. R. (2017). Understanding the relationships between mHealth apps’ characteristics, trialability, and mHealth literacy. Journal of Health Communication, 22(4), 346–354. https://doi.org/10.1080/10810730.2017.1296508

Rajak, M., & Shaw, K. (2021). An extension of technology acceptance model for mHealth user adoption. Technology in Society, 67, 101800. https://doi.org/10.1016/j.techsoc.2021.101800

Schindler-Ruwisch, J. M., Roess, A., Robert, R. C., Napolitano, M. A., & Chiang, S. (2018). Social support for breastfeeding in the era of mHealth: A content analysis. Journal of Human Lactation, 34(3), 543–555. https://doi.org/10.1177/0890334418773302

Smahel, D., Elavsky, S., & Machackova, H. (2019). Functions of mHealth applications: A user’s perspective. Health Informatics Journal, 25(3), 1065–1075. https://doi.org/10.1177/1460458217740725

Sony, M., Antony, J., & Tortorella, G. L. (2023). Critical success factors for successful implementation of Healthcare 4.0: A literature review and future research agenda. International Journal of Environmental Research and Public Health, 20(5), 4669. https://doi.org/10.3390/ijerph20054669

Stoumpos, A. I., Kitsios, F., & Talias, M. A. (2023). Digital transformation in healthcare: Technology acceptance and its applications. International Journal of Environmental Research and Public Health, 20(4), 3407. https://doi.org/10.3390/ijerph20043407

Syam, A., & Musni, M. (2022). Constructing instrument of fathers support during pregnancy. Jurnal Kesehatan Masyarakat, 18(2), 289–295. https://doi.org/10.15294/kemas.v18i2.35764

Syam, A., Dewi, I., & Firawati, F. (2024). Usability study of the Mommy-Be App: Exploring the experience of breastfeeding mothers in Eastern Indonesia. Revista de Gestão Social e Ambiental, 18(3), e05253. https://doi.org/10.24857/rgsa.v18n3-089

Syam, A., Dewi, I., Firawati, F., Darwis, D., & Iskandar, I. (2025). Exploring first-time mothers’ experiences with the Mommy-Be App: A qualitative study on breastfeeding support and technology acceptance. SAGE Open Nursing, 11, 23779608251337120. https://doi.org/10.1177/23779608251337122

Syam, A., Iskandar, I., Hendrarti, W., & Salam, A. (2021). Prenatal depression and successful lactation. Medicina Clínica Práctica, 4, 100234. https://doi.org/10.1016/j.mcpsp.2021.100234

Syam, A., Iskandar, I., Qasim, M., Kadir, A., & Usman, A. N. (2020). Identifying risk factors of prenatal depression among mothers in Indonesia. Enfermería Clínica, 30(Suppl. 2), 550–554. https://doi.org/10.1016/j.enfcli.2019.07.158

Syam, A., Qasim, M., Iskandar, I., & Kadir, A. (2022). Cortisol, prolactin, and breastmilk volume: A promising pattern for reducing postpartum depression. Open Access Macedonian Journal of Medical Sciences, 10(B), 1399–1405. https://doi.org/10.3889/oamjms.2022.9545

World Health Organization. (2021). Global strategy on digital health 2020–2025. https://www.who.int/publications/i/item/9789240020924

Downloads

Published

2025-10-15

How to Cite

Azniah Syam, Nilawati Uly, Abdul Malik, Imelda Iskandar, Lina Fitriani, Fatimah Jamir, & Sharto Batti. (2025). Peningkatan Kualitas Pelayanan Klinik Pratama dengan Aplikasi Mommy-Be. Jurnal Pengabdian Ilmu Kesehatan, 5(3), 267–279. https://doi.org/10.55606/jpikes.v5i3.6053

Similar Articles

<< < 7 8 9 10 11 12 13 14 > >> 

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)