Identification of Innovation Needs for Fetal Well-Being Monitoring: A Phenomenological Research
Main Article Content
Abstract
Background: Counting fetal movements is a vital assessment to determine the well-being of the fetus that can be carried out independently by pregnant women. Pregnant women need to be provided with tools that are easy, practical, safe and economical so they can get accurate results. Objective: To develop a fetal movement counting tool that can be used independently by pregnant women.
Methods: Qualitative phenomenological research, carried out 1 June-31 Juli 2024. Research using a focus group discussion approach on 8 participants, pregnant women's health workers at Bantul Regional Health Centers, Yogyakarta, Indonesia. Sample criteria: willing to be a participant, actively serving in the maternal health unit, working at a Community Health Center with the highest Infant Mortality Rate. The sample was selected using purposive sampling, analysis techniques using compression, presentation and drawing conclusions NVivo 12 Pro International software.
Results: A total of 246 codes were generated, 7 categories, 4 themes, namely: (1) previous behavioral experience; (2) perception of the benefits of calculating fetal movements; (3) experience of techniques for calculating fetal movements; and (4) expectations of the tools needed. There was main topic is need for monitoring fetal movementsaya
Conclusion: The themes obtained are the basis for formulating a design to develop a fetal movement monitoring tool that can be carried out independently by pregnant women. The themes obtained imply that health workers need to encourage the use of simple and easy-to-operate foetal movement monitors that can be used independently to improve pregnancy monitoring based on maternal empowerment.
Article Details
How to Cite
References
Al-Amri, N., & Smith, V. (2022). The effect of formal fetal movement counting on maternal psychological outcomes: A systematic review and meta-analysis. European Journal of Midwifery, 6(March). https://doi.org/10.18332/ejm/145789
Alexander E.P.Heaxell; Fiona Holland; Jack Wilkinson. (2023). Information about fetal movement and stillbirtds trends:Analysis of time series data. An International Journal of Obstetrics and Gynecology, 1–10. https://doi.org/10.111111/0471-0528.17426
Akselsson, A. (2020). Awareness of fetal movements and pregnancy outcomes. Thesis Karolinska Institutet. Retrieved 03 December from file:///C:/Users/user/Downloads/Thesis_Anna%20Akselsson.pdf
Carlo Di Renzo, G., Maulik, D., Berghella, V., Facchinetti, F., Hod, M., Jovanovic, L., de Leiva, A., & Langer, O. (2020). Series in maternal-fetal medicine (Second edi). Informa Healthcare.
Creswell, V. L. P. C. & J. W. (2023). Mixed methods research (Third Edit). SAGE Publication.
Endriyani, Sumantri.(2020). Fetal movement counting and maternal anxiety: a systematic literature review. Jurnal Ners & Kebidanan Indonesia (Indonesian Journal of Nursing & Midwifery, 8(Sup 2), 8–9.
Güney, E., & Uçar, T. (2020). Effect of the fetal movement count on maternal–fetal attachment. Japan Journal of Nursing Science, 16(1), 71–79. https://doi.org/10.1111/jjns.12214
Yudianti, Amelia, Aristina, & Primasari. (2022). Pregnant women empowerment in monitoring fetal wellbeing through fetal movement count mobile application. SEAJOM: The Southeast Asia Journal of Midwifery, 8(2), 45–54. https://doi.org/10.36749/seajom.v8i2.184
Jagadeeswari, J., & Prasanth, K. (2020). Effectiveness of dfmc chart versus caardiff ten count chart on mother’s perception among antenatal mothers. International Journal of Research in Pharmaceutical Sciences, 11(4), 5496–5500. https://doi.org/10.26452/ijrps.v11i4.3183
Mangesi, L., Hofmeyr, G. J., Smith, V., & Smyth, R. M. D. (2020). Fetal movement counting for assessment of fetal wellbeing. Cochrane Database of Systematic Reviews, 2020(10). https://doi.org/10.1002/14651858.CD004909.pub3
Mohapatra, S., Gomathi, B., & Nayak, D. (2021). Effect of fetal movement count training (FMCT) on prenatal bonding and maternal anxiety among primigravida women. International Journal of Nursing Education, 13(3), 119–125. https://doi.org/10.37506/ijone.v13i3.16322
Nishihara, K., Ohki, N., Kamata, H., Ryo, E., & Horiuchi, S. (2023). Automated software analysis of fetal movement recorded during a pregnant woman ’ s sleep at home. Plos One, 1–15. https://doi.org/10.1371/journal.pone.0130503
Noell-Boix, R., Ochandorena-Acha, M., Reig-Garcia, G., Moreno-Casbas, M. T., & Casas-Baroy, J. C. (2022). Identification of the needs of informal caregivers: an exploratory study. Enfermeria Global, 21(4), 86–99. https://doi.org/10.6018/eglobal.512191
Owens, B., & Libertus, K. (2022). Are There Postnatal Benefits to Prenatal Kick Counting? A Quasi-Experimental Longitudinal Study. Frontiers in Psychology, 13(January), 1–11. https://doi.org/10.3389/fpsyg.2022.712562
Permenkes. (2020). Standart Teknis Pemenuhan Mutu Pelayanan Dasar Pada Standar Pelayanan Minimal Bidang kesehatan. In Permenkes RI, 4 (1), 1–5.
Perwitasari. (2021). The effect of maternal-fetal attachment education on maternal mental health. Journal of Health Technologogy Assesment, 2(1), 50–58.
Purwati, Y., & Sari, A. D. (2024). Audiovisual effectiveness of independent fetal well-being monitoring on mother-fetus attachment and birth outcomes. Enfermeria Global, 73(January), 82–94. https://doi.org/https://doi.org/10.6018/eglobal.568371
Purwati, Y., Wahyuntari, E., Subrata, A. C., Program, N. S., Yogyakarta, U. A., Yogyakarta, U. A., Ahmad, U., Istimewa, D., Program, N. S., Aisyiyah, U., & Aisyiyah, U. (2023). F-Kico (Fetal-Kick Count) innovation need analysis for monitoring fetal well-being. Jurnal Aisyah: Jurnal Ilmu Kesehatan, 8(4), 1486–1497.
Ranjbar, F., Warmelink, J. C., Mousavi, R., & Gharacheh, M. (2021). Maternal-fetal attachment and anxiety in pregnant women who conceived through assisted reproductive technology. International Journal of Reproductive Biomedicine, 19(12), 1075–1084.
Rosalinna, R. (2021). Differences in pregnancy care service visits before and during covid 19 pandemic in midwifery independent practice. Interest : Jurnal Ilmu Kesehatan, 10(1), 118–127. https://doi.org/10.37341/interest.v0i0.296
Smith, K. E., Mason, T. B., Reilly, E. E., Hazzard, V. M., Borg, S. L., Dvorak, R., Crosby, R. D., & Wonderlich, S. A. (2021). Examining prospective mediational relationships between momentary rumination, negative affect, and binge eating using ecological momentary assessment. Journal of Affective Disorders Reports, 5, 100138. https://doi.org/https://doi.org/10.1016/j.jadr.2021.100138
Taneichi, H., & Rokkaku, R. (2020). A qualitative focus group discussion study on the experiences of certified nurses in dementia nursing related to effective staff education. Nursing Open, 7(2), 547–555. https://doi.org/10.1002/nop2.419
UNICEF Global Databases. (2023). Neonatal mortality rate. Retrieved 3 December 2025 from https://repositorio.ufsc.br/xmlui/bitstream/handle/123456789/167638/341506.pdf?sequence=1&isAllowed=y%0Ahttps://repositorio.ufsm.br/bitstream/handle/1/8314/LOEBLEIN%2C LUCINEIA CARLA.pdf?sequence=1&isAllowed=y%0Ahttps://antigo.mdr.gov.br/saneamento/proees
Venkateswara, Lalitha, U. K. (2020). A Comparative Study on DFMC Chart Assesment Count Ten on Assesment of Fetal Movements Among Antenatal Mothers at Comprehensive Emergency Obstetrical and Neonatal Care. International Journal of Creative Research Throught (IJCRT), 8(11), 1401–1412.
Verma, J. P., & Verma, P. (2020). Introduction to Sample Size Determination. In Determining Sample Size and Power in Research Studies. https://doi.org/10.1007/978-981-15-5204-5_1
Winje, B. A., Røislien, J., & Frøen, J. F. (2022). Temporal patterns in count-to-ten fetal movement charts and their associations with pregnancy characteristics: A prospective cohort study. BMC Pregnancy and Childbirth, 12, 1–12. https://doi.org/10.1186/1471-2393-12-124
Yani, F., Adila, D. R., & Roslita, R. (2021). Mother’s level of knowledge about movement monitoring. Jurnal Cakrawala Promkes, 3(1), 33–41. https://doi.org/10.12928/promkes.v3i1.2848