Survey on the Use of E-Application for Anaemia in Pregnant Women at Midwifery Clinic

Authors

  • Retno Sugesti School of Nursing and Applied Health Science, Lincoln University College, Wisma Lincoln, No. 12-18, Jalan SS 6/12, 47301 Petaling Jaya, Selangor Darul Ehsan, Malaysia ; Department of Midwifery, Universitas Indonesia Maju, Jakarta 12630, Indonesia https://orcid.org/0009-0006-5090-3031
  • Tukimin Bin Sansuwito School of Nursing and Applied Health Science, Lincoln University College, Wisma Lincoln, No. 12-18, Jalan SS 6/12, 47301 Petaling Jaya, Selangor Darul Ehsan, Malaysia

DOI:

https://doi.org/10.31674/mjmr.2025.v09i01.001

Abstract

Background: Among pregnant women, anaemia is a common health issue, as nutritional requirements increase to support fetal growth. Anaemia during pregnancy can have serious consequences, including an increased risk of preterm birth, low birth weight, and complications during delivery. This article aims to analyse the extent to which health promotion and accessibility to healthcare services influence anaemia in pregnant women. Methods: This study adopts a quantitative approach using a cross-sectional research design. The research was conducted to test a system developed using the waterfall method, in the form of utilising information technology in a knowledge-based system. The population in this study consisted of pregnant women who visited the Midwifery Clinic, with a total of 52 pregnant women from August to October 2024. Results: The significance test p=0.000 confirms that this relationship is statistically significant, indicating that the application has great potential to help effectively detect anaemia in pregnant women. Based on the ANOVA test, the regression model used in this study is statistically significant with a significant value p=0.000. The significance value p=0.000 emphasises that the application plays an important role in enhancing the accuracy of anaemia detection based on hemoglobin levels. The analysis shows an R Square value of 0.695, indicating that about 69.5% of the variation in HB test results can be explained by the application results, reinforcing the application's role in predicting HB test outcomes. Conclusion: The use of the E-Application influences identifying pregnant women with anaemia.

Keywords:

Anaemia, Accessibility to Healthcare Services, Health Promotion

Downloads

Download data is not yet available.

References

Atnafu, A., Bisrat, A., Kifle, M., Taye, B., & Debebe, T. (2015). Mobile health (mHealth) intervention in maternal and child health care: Evidence from resource-constrained settings: A review. The Ethiopian Journal of Health Development, 29(3). Retrieved from https://www.ejhd.org/index.php/ejhd/article/view/357

Benson, A. E., Lo, J. O., & Caughey, A. B. (2024). Iron Deficiency and Iron Deficiency Anemia During Pregnancy—Opportunities to Optimize Perinatal Health and Health Equity. JAMA Network Open, 7(8), e2429151-e2429151. https://doi.org/10.1001/jamanetworkopen.2024.29151

Budiyati, E., & Rihyanti, E. (2022). Penerapan Metode Forward Chaining Pada Aplikasi Daring Untuk Mendeteksi Penyakit Anemia [Application of Forward Chaining Method in Online Applications to Detect Anemia Disease]. Jurnal Media Informatika Budidarma, 6(3), 1667-1676. https://www.ejurnal.stmik-budidarma.ac.id/index.php/mib/article/view/4104/2845

Cantor, A. G., Holmes, R., Bougatsos, C., Atchison, C., DeLoughery, T., & Chou, R. (2024). Screening and supplementation for iron deficiency and iron deficiency anemia during pregnancy: updated evidence report and systematic review for the US Preventive Services Task Force. Journal of the American Medical Association, 332(11), 914-928. https://doi/10.1001/jama.2024.13546

Eren, H., & Webster, J.G. (Eds.). (2015). Telehealth and Mobile Health (1st ed.). CRC Press. https://doi.org/10.1201/b19147

Hidayati, N., & Sismadi, S. (2020). Application of Waterfall Model in Development of Work Training Acceptance System. INTENSIF: Jurnal Ilmiah Penelitian Dan Penerapan Teknologi Sistem Informasi, 4(1), 75-89. https://doi.org/10.29407/intensif.v4i1.13575

Kemenkes RI KR (2024). Profil Kesehatan Indonesia Tahun 2023 [Profil Kesehatan Indonesia Tahun 2023]. In Jakarta. https://kemkes.go.id/

Lee, A. I., & Okam, M. M. (2011). Anemia in pregnancy. Hematology/Oncology Clinics, 25(2), 241-259. https://doi.org/10.1016/j.hoc.2011.02.001

Manik, R. (2021). Sosialisasi penggunaan aplikasi (Sumiferos) pencegahan anemia dengan kepatuhan ibu hamil mengkonsumsi tablet besi [Socialization of the use of the application (Sumiferos) for the prevention of anemia with the compliance of pregnant women to consume iron tablets]. Jurnal Abdimas Kesehatan (JAK), 3(2), 229-234. https://doi.org/10.36565/jak.v3i2.204

Mbunge, E., & Sibiya, M. N. (2024). Mobile health interventions for improving maternal and child health outcomes in South Africa: a systematic review. Global Health Journal, 8(3), 103-112. https://doi.org/10.1016/j.glohj.2024.08.002

Mentari, D., Nugraha, G., Ferdina, A. R., Widyawaty, E. D., Rahmawati, I. T., Gunawan, L. S., ... & Purwoko, S. (2023). Mengenal Anemia: Patofisiologi, Klasifikasi, dan Diagnosis [Getting to Know Anemia: Pathophysiology, Classification, and Diagnosis]. https://doi.org/10.55981/brin.906

Oyeniyi, J. (2024). The role of AI and mobile apps in patient-centric healthcare delivery. World Journal of Advanced Research and Reviews, 22(1), 1897-1907. https://doi.org/10.30574/wjarr.2024.22.1.1331

Purba, R. A. (2021). Application design to help predict market demand using the waterfall method. Matrix: Jurnal Manajemen Teknologi Dan Informatika, 11(3), 140-149. https://doi.org/10.31940/matrix.v11i3.140-149

Qiao, Y., Di, J., Yin, L., Huang, A., Zhao, W., Hu, H., & Chen, S. (2024). Prevalence and influencing factors of anemia among pregnant women across first, second and third trimesters of pregnancy in monitoring areas, from 2016 to 2020: a population-based multi-center cohort study. BMC Public Health, 24(1), 1100. https://doi.org/10.1186/s12889-024-18610-x

Sugiyono, D. (2013). Metode penelitian pendidikan pendekatan kuantitatif, kualitatif dan R&D [Educational research methods quantitative, qualitative and R&D approaches].

Sumantri, R. B. B., Ashari, I. A., & Jayusman, H. (2022). Implementation of a Web-Based Expert System For Diagnosis Of Red Blood Cell Production Disorders. Jurnal TAM (Technology Acceptance Model), 13(2), 124-130. https://www.researchgate.net/profile/R-Bagus-Sumantri/publication/367218778_IMPLEMENTATION_OF_A_WEB-BASED_EXPERT_SYSTEM_FOR_DIAGNOSIS_OF_RED_BLOOD_CELL_PRODUCTION_DISORDERS/data/63c7727bd9fb5967c2e55794/1309-3246-1-PB-TAM.pdf

Tamara, Y., Hermansyah, H., & Marleni, M. (2024). Analysis of teacher professional competence in utilizing information and communication technology. Esteem Journal of English Education Study Programme, 7(1), 193-206. https://doi.org/10.31851/esteem.v7i1.14095

Wahyuni, A., & ZA, R. N. (2024). Pengaruh Penggunaan Multimedia “Edukasi Anemia” Terhadap Perubahan Pengetahuan Dan Sikap Pencegahan Anemia Pada Ibu Hamil Di Puskesmas Ibrahim Adjie Kota Bandung [The Effect of the Use of Multimedia "Anemia Education" on Changes in Knowledge and Attitudes of Anemia Prevention in Pregnant Women at the Ibrahim Adjie Health Center, Bandung City]. Journal of Healthcare Technology and Medicine, 10(1), 574-586. https://doi.org/10.33143/jhtm.v10i1.4084

Wekalao, J., Mandela, N., Muheki, J., & Zaid, A. (2024). Design and analysis of a terahertz metasurface-based refractive index sensor for hemoglobin detection with behaviour prediction using polynomial regression. Plasmonics, 1-30. https://doi.org/10.1007/s11468-024-02445-8

World Health Organization (2019). World health statistics 2019: monitoring health for the SDGs, sustainable development goals. Available from: https://www.who.int/publications/i/item/9789241565707.

Published

30-01-2025

How to Cite

Sugesti, R., & Sansuwito, T. B. (2025). Survey on the Use of E-Application for Anaemia in Pregnant Women at Midwifery Clinic. Malaysian Journal of Medical Research (MJMR), 9(1), 1-10. https://doi.org/10.31674/mjmr.2025.v09i01.001

Metrics