Preeclampsia Screening Using The Smartphone Method: Literature Review

Authors

  • Nia Desriva Lincoln University College, Malaysia
  • Tukimin Bin Sansuwito Lincoln University College, Malaysia
  • Regidor III Dioso Lincoln University College, Malaysia

DOI:

https://doi.org/10.59585/ijhs.v1i4.211

Keywords:

Pregnant Women, Android Based, Pregnancy Risk Detection, Pre-Eclamsia

Abstract

Introduction: Indonesian maternal mortality in 2012, 32.5% was caused by hypertension, preeclampsia, and eclampsia, while 24.22% in 2015 and 26% in 2016. Currently, there is no method of screening for preeclampsia based on maternal characteristics that were carried out during the first visit antenatal. The use of technology has great potential to improve health care at the community, especially in low-middle income countries. It is necessary to make a breakthrough in the form of developing a screening model for preeclampsia by utilizing information technology. Material and Methods: This type of research uses literature study method sourced from journals and publications results. Population in This research is all journals and article obtained from Pubmed, Clinical Key, Science direct, Google scholar with PRISMA design. Results:. As a result of the 5 articles found, it was stated that there was an effect of testing an Android-based preeclampsia screening application that could detect it effectively The early risk of preeclampsia was shown by all midwives who were part of the application trial sample stated that an Android-based preeclampsia screening application for pregnant women ≤ 20 weeks was feasible to use. Conclusion:. The use of the application is quite good for community-based preeclampsia screening

Downloads

Download data is not yet available.

Author Biographies

Nia Desriva, Lincoln University College, Malaysia

Student Ph.D in Health Science, Faculty Medicine

Midwiferry, Faculty Of Health, Institut Kesehatan And Technology AL Insyirah, Indonesia

Tukimin Bin Sansuwito, Lincoln University College, Malaysia

Lecturer Ph.D. in Nursing and Public Health, Faculty Medicine

Regidor III Dioso, Lincoln University College, Malaysia

Lecturer Ph.D. in Nursing, Faculty Medicine

References

Akbari, R., Hantoushzadeh, S., Panahi, Z., Bahonar, S., & Ghaemi, M. (2023). A bibliometric review of 35 years of studies about preeclampsia. Frontiers in Physiology, 14(February). https://doi.org/10.3389/fphys.2023.1110399

Berhe, A. K., Ilesanmi, A. O., Aimakhu, C. O., & Bezabih, A. M. (2020). Awareness of pregnancy induced hypertension among pregnant women in Tigray Regional State, Ethiopia. Pan African Medical Journal, 35, 1–16. https://doi.org/10.11604/pamj.2020.35.71.19351

Bokslag, A., Fons, A. B., Zeverijn, L. J., Teunissen, P. W., & de Groot, C. J. M. (2020). Maternal recall of a history of early-onset preeclampsia, late-onset preeclampsia, or gestational hypertension: a validation study. Hypertension in Pregnancy, 39(4), 444–450. https://doi.org/10.1080/10641955.2020.1818090

Bone, J. N., Khowaja, A. R., Vidler, M., Payne, B. A., Bellad, M. B., Goudar, S. S., Mallapur, A. A., Munguambe, K., Qureshi, R. N., Sacoor, C., Sevene, E., Frederix, G. W. J., Bhutta, Z. A., Mitton, C., Magee, L. A., & Von Dadelszen, P. (2021). Economic and cost-effectiveness analysis of the Community-Level Interventions for Pre-eclampsia (CLIP) trials in India, Pakistan and Mozambique. BMJ Global Health, 6(5), 1–11. https://doi.org/10.1136/bmjgh-2020-004123

Feroz, A. S., Afzal, N., & Seto, E. (2022). Exploring digital health interventions for pregnant women at high risk for pre-eclampsia and eclampsia in low-income and-middle-income countries: A scoping review. BMJ Open, 12(2), 1–11. https://doi.org/10.1136/bmjopen-2021-056130

Johariyah, Nurdiat, D. S., & Widyawati. (2023). “Preeclampsia.com” App To Preeclampsia Screening At Community Level: A Cohort Study. Jurnal Kebidanan Indonesia, 13(1), 85–94.

Jonas, S. M., Deserno, T. M., Buhimschi, C. S., Makin, J., Choma, M. A., & Buhimschi, I. A. (2016). Smartphone-based diagnostic for preeclampsia: An mHealth solution for administering the Congo Red Dot (CRD) test in settings with limited resources. Journal of the American Medical Informatics Association, 23(1), 166–173. https://doi.org/10.1093/jamia/ocv015

Kemenkes RI. (2020). Buku KIA Revisi 2020 Lengkap.pdf. In Kementrian Kesehatan Republik Indonesia (p. 53).

Lim, J., Cloete, G., Dunsmuir, D. T., Payne, B. A., Scheffer, C., Dadelszen, P. Von, Dumont, G. A., & Ansermino, J. M. (2015). Usability and Feasibility of PIERS on the Move: An mHealth App for Pre-Eclampsia Triage. JMIR MHealth and UHealth, 3(2), 1–11. https://doi.org/10.2196/mhealth.3942

Mekie, M., Bezie, M., Melkie, A., Addisu, D., Chanie, E. S., Bayih, W. A., Biru, S., Hailie, M., Seid, T., Dagnew, E., Muche, T., & Alemu, E. M. (2022). Perception towards preeclampsia and perceived barriers to early health-seeking among pregnant women in selected Hospitals of South Gondar Zone, Northwest Ethiopia: A qualitative study. PLoS ONE, 17(8 August), 1–12. https://doi.org/10.1371/journal.pone.0271502

Oknalita Simbolon. (2020). Deteksi Dini Preeklampsia Dan Rekomendasi Pada Ibu Hamil Berbasis Android Dengan Teknik Ensemble Learning Dan Content Based. In Poltekes Kemenkes Semarang (Vol. 10, Issue 1).

Savage, A. R., & Hoho, L. (2016). Knowledge of pre-eclampsia in women living in Makole Ward, Dodoma, Tanzania. African Health Sciences, 16(2), 412–419. https://doi.org/10.4314/ahs.v16i2.9

Stasiak, G., Maracci, L. M., de Oliveira Chami, V., Pereira, D. D., Tomazoni, F., Bernardon Silva, T., Ferrazzo, V. A., & Marquezan, M. (2023). TMD diagnosis: Sensitivity and specificity of the Fonseca Anamnestic Index. Cranio - Journal of Craniomandibular and Sleep Practice, 41(3), 199–203. https://doi.org/10.1080/08869634.2020.1839724

Suparni, S., Fatkhudin, A., & Zuhana, N. (2021). Efektivitas Sibumil (Aplikasi Deteksi Risiko Kehamilan Mandiri) Berbasis Android Di Kota Pekalongan Tahun 2021. Jurnal Litbang Kota Pekalongan, 21(2), 7. https://doi.org/10.54911/litbang.v21i1.163

Surya, Chalid, T. M. S., & Ahmad, M. (2021). Kelayakan aplikasi skrinning preeklampsia berbasis android pada ibu hamil ≤ 20 minggu. Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal, 12(3), 559–564.

Wang, T., Du, Y., Gong, Y., Raymond Choo, K. K., & Guo, Y. (2023). Applications of Federated Learning in Mobile Health: Scoping Review. Journal of Medical Internet Research, 25, 1–12. https://doi.org/10.2196/43006

Downloads

Published

2023-12-18

How to Cite

Desriva, N., Bin Sansuwito, T., & Dioso, R. I. (2023). Preeclampsia Screening Using The Smartphone Method: Literature Review. International Journal of Health Sciences, 1(4), 873–883. https://doi.org/10.59585/ijhs.v1i4.211