Early Detection of Pregnant Women with Stunting Incidents Based on the Early Detection Information System, High Risk, Islands Maternal Referral System (SIDILAN)”
Abstract
One of the nutritional issues that toddlers face in today's society is the prevalence of short toddlers, often known as stunting. South Asia accounted for the biggest percentage of Asia's 83.6 million stunted toddlers (58.7%), while Central Asia had the lowest percentage (0.9%). The urgency of this research is the high number of stunting cases in Indonesia, where various risk factors for stunting since pregnancy are one of the focus problems that need to be considered. This study aims to determine the risk of stunting early in pregnant women through the SIDILAN early detection application. FGD and preliminary research are the first steps in the process, after which an application feasibility test is conducted. small sample user trials, followed by a quasi-experiment (pre-test post-test approach) to conduct further study. Pregnant Women with Stunting Incidents: An Early Detection Application Based on the High-Risk Early Detection Information System for Pregnant Women Referral System for the Islands (SDILAN) is an effective early detection tool for stunting in pregnant women, as shown by the p value = 0.000 from table 3 above which is smaller. Application SDILAN is thought to be more successful for monitoring and planning pregnant women because it can be completed anywhere and offers direct guidance from medical professionals. In the area of maternity and child health technology, this is also consistent with the medium-term development goals, which place an emphasis on early identification to deliver high-quality services to lower morbidity and mortality.
References
Akbar, R. R., Kartika, W., & Khairunnisa, M. (2023). The Effect of Stunting on Child Growth and Development. Scientific Journal, 2(4), 153–160. https://doi.org/10.56260/sciena.v2i4.118
Bwalya, B., Lemba, M., Mapoma, C., & Mutombo, N. (2015). Factors Associated with Stunting among Children Aged 6-23 Months in Zambian: Evidence from the 2007 Zambia Demographic and Health Survey. International Journal of Advanced Nutrition and Health Sciences, 2015, 116–131. https://doi.org/10.23953/cloud.ijanhs.146
Dasho, E., Kuneshka, L., & Toci, E. (2022). Information Technology in Health-Care Systems and Primary Health Care. Open Access Macedonian Journal of Medical Sciences, 10, 1919–1926. https://doi.org/10.3889/oamjms.2022.11380
Dewey, K. G. (2016). Reducing stunting by improving maternal, infant and young child nutrition in regions such as South Asia: evidence, challenges and opportunities. Maternal & Child Nutrition, 12 Suppl 1(Suppl 1), 27–38. https://doi.org/10.1111/mcn.12282
Dittrich, F., Albrecht, U.-V., Scherer, J., Becker, S., Landgraeber, S., Back, D., Fessmann, K., Haversath, M., Beck, S., Abbara, M., Quitmann, H., Harren, A. K., Aitzetmüller-Klietz, M., & Aitzetmüller-Klietz, M.-L. (2023). Development of open backend structures for healthcare professionals to improve participation in app developments: A pilot study. JMIR Formative Research, 7. https://doi.org/10.2196/42224
Ernawati, E., Karnasih, I. G. A., M, S. A., & Fakhriza, I. (2024). Influence of Maternal Age on Stunting Toddlers in Balung Lor Village, Balung District. Jurnal Kesehatan Dr. Soebandi, 12(1), 46–52. https://doi.org/10.36858/jkds.v12i1.515
Fitri, R., Khomsan, A., & Dwiriani, C. M. (2024). The dominant factors associated with stunting among two years children in five provinces in Indonesia. AcTion: Aceh Nutrition Journal, 9(1), 100. https://doi.org/10.30867/action.v9i1.1557
Iribarren, S. J., Akande, T. O., Kamp, K. J., Barry, D., Kader, Y. G., & Suelzer, E. (2021). Effectiveness of Mobile Apps to Promote Health and Manage Disease: Systematic Review and Meta-analysis of Randomized Controlled Trials. JMIR MHealth and UHealth, 9(1), e21563. https://doi.org/10.2196/21563
Kasmita, Tasrif, N., & Santi, T. D. (2023). Stunting in Toddlers (6-60 Months): Parenting, Mother’s Education, Infectious Diseases, and Breastfeeding. Kemas, 18(4), 564–570. https://doi.org/10.15294/kemas.v18i4.41433
Perry, R., Burns, R., Simon, R., & Youm, J. (2017). Mobile Application Use Among Obstetrics and Gynecology Residents. Journal of Graduate Medical Education, 9. https://doi.org/10.4300/JGME-D-17-00163.1
Shamanewadi, A. N., Pavithra, M. B., & Madhukumar, S. (2020). Level of awareness of risk factors and danger signs of pregnancy among pregnant women attending antenatal care in PHC, Nandagudi. Journal of Family Medicine and Primary Care, 9(9), 4717–4722. https://doi.org/10.4103/jfmpc.jfmpc_743_20
Copyright (c) 2024 Indonesian Journal of Global Health Research
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.