PARITAS SEBAGAI PREDIKTOR ADOPSI MHEALTH PADA IBU HAMIL DALAM DETEKSI DINI RISIKO KEHAMILAN

Nining Tunggal Sri Sunarti, Silvia Ari Agustina, Reni Tri Lestari, Eny Retna Ambarwati

Abstract


Pemanfaatan teknologi kesehatan seluler (mobile health/mHealth) melalui aplikasi kehamilan memiliki potensi besar dalam meningkatkan efektivitas deteksi dini risiko kehamilan, namun tingkat adopsinya dipengaruhi oleh berbagai faktor, termasuk karakteristik obstetri seperti paritas. Penelitian ini memiliki kebaruan dalam menyoroti peran paritas sebagai determinan utama dalam adopsi mHealth, khususnya perbedaan perilaku antara ibu dengan pengalaman reproduksi rendah dan tinggi yang masih terbatas dibahas pada studi sebelumnya. Tujuan penelitian ini adalah untuk menganalisis pengaruh paritas terhadap adopsi mHealth sebagai sarana deteksi dini risiko kehamilan. Metode yang digunakan adalah studi kuantitatif dengan pendekatan cross-sectional pada 254 ibu hamil, dengan pengumpulan data melalui kuesioner terkait karakteristik obstetri dan perilaku penggunaan aplikasi, serta analisis menggunakan uji Chi-Square dan Odds Ratio (OR). Hasil penelitian menunjukkan adanya hubungan yang sangat signifikan antara paritas dan penggunaan aplikasi kehamilan (P-value < 0,001), di mana ibu dengan paritas rendah (nulipara dan primipara) memiliki peluang 7,071 kali lebih besar untuk menggunakan aplikasi dibandingkan ibu multipara (OR = 7,071; 95% CI = 3,157–15,841). Kesimpulannya, paritas merupakan prediktor signifikan dalam adopsi mHealth selama kehamilan, di mana ibu dengan paritas rendah cenderung lebih bergantung pada informasi digital, sementara rendahnya adopsi pada ibu multipara menunjukkan perlunya pendekatan edukasi digital yang lebih inovatif untuk meningkatkan keterlibatan mereka dalam pemantauan risiko kehamilan secara mandiri.

Keywords


Aplikasi kehamilan; Deteksi dini; mHealth; Paritas; Risiko kehamilan.

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References


Alkandari A, Alahmad M, almutairi N, Abuzaraida MA, AlMansou D. Doctor-Patient Queue for Emergency Contact Appointment Registration. International Journal of Engineering Trends and Technology. 2023 Jan 25;71(1):189–200. doi:10.14445/22315381/IJETT-V71I1P217

Üğüdücü K, Cerit T, Toprak AG, Alankuş G. MHealth application for cancer care delivery. In. 2024. p. 030008. doi:10.1063/5.0194462

Desmawati D, Hanifah L. Exploring Satisfaction on ANC Digital Health Among Pregnant Women : A Qualitative Study. BMC Pregnancy and Childbirth. 2025;25:4–11. doi:https://doi.org/10.1186/s12884-025-08217-4

Phillips JC, Alfano AR, Avt LC, Barfield LC, Cain L, Sadjadi M, et al. Exploring Maternal and Infant Health App Development and Effectiveness Research : Scoping Review. JMIR Pediatrics and Parenting. 2024;7. doi:10.2196/46973

Susanna L, Anni P, Anna A. Integrating Remote Monitoring Into Pregnancy Care. Computers Informatics Nursing. 2025;43(12):1–9. doi:10.1097/CIN.0000000000001255

Brammall BR, Hayman MJ, Harrison CL. Pregnancy mobile app use : A survey of health information practices and quality awareness among pregnant women in Australia. Women’s Health. 2024;20:1–12. doi:10.1177/17455057241281236

Hossain A, Perkins J, Hasan T, Lian BSL, Chowdhury R, Alam T, et al. User experience with pregnancy tracker mobile apps : Findings from comment-based qualitative study. PloS one. 2025;1–18. doi:10.1371/journal.pone.0318012

Nissen M, Huang SY, Jäger KM, Flaucher M, Titzmann A, Bleher H, et al. Smartphone pregnancy apps : systematic analysis of features , scientific guidance , commercialization , and user perception. BMC Pregnancy and Childbirth. 2024;24:1–12. doi:10.1186/s12884-024-06959-1

Salamanca-Sanabria A, Liew SJ, Mair J, De Iorio M, Ling YDY, Tint MT, et al. A holistic lifestyle mobile health intervention for the prevention of type 2 diabetes and common mental disorders in Asian women with a history of gestational diabetes: a randomised control trial with 3-year follow-up protocol. Trials. 2024 Jul;25(1):443. doi:10.1186/s13063-024-08247-x PubMed PMID: 38961430.

Pierce P, Whitten M, Hillman S. The impact of digital healthcare on vulnerable pregnant women : A review of the use of the MyCare app in the maternity department at a central London tertiary unit. Frontier in Digital Health. 2023;1–11. doi:10.3389/fdgth.2023.1155708

Sabteka EA, Retnaningtyas E, Muslichah M, Angelius H. The Relationship Between Knowledge And Parity Of Pregnant Women And The Activeness Of First Trimester Antenatal Care Visits In The Working Area Of The Ulilin Health Center , Merauke District. Journal of Health Science Community. 2024;5(1):10–20.

Aisyah RD, Prafitri LD, Abbas HH. Family-Based Anxiety Detection In Primigravida Pregnant Women. Window of Health: Jurnal Kesehatan. 2025;8(3):288–300. doi:https://doi.org/10.33096/woh.vi.1635

Urvia M, Ningtyas WS, Utomo B. Anxiety And Readiness Differences Between Primigravida And Multigravida Mothers Towards Childbirth In The Covid-19 Pandemic. Indonesian Midwifery and Health Sciences journal. 2023;7(1):45–52. doi:10.20473/imhsj.v7i1.2023.45-52

Giacometti CF, Galfano GS, Wajman S, Cordioli E, Paula A, Beck A, et al. Internet use by pregnant women during prenatal care Internet use by pregnant women during prenatal care. einstein. 2024;22:1–7. doi:10.31744/einstein

Xu H, Zhou Y, Wang X. Influencing factors of maternal online health information-seeking behavior. Frontiers in public health. 2025;(July):1–11. doi:10.3389/fpubh.2025.1592093

Fransisca L, Andriani, Darmawati J. Hubungan paritas dan sumber informasi dengan pengetahuan ibu hamil tentang tanda bahaya kehamilan. Jurnal Kesehatan dan Pembangunan. 2025;15(1). doi:https://doi.org/10.52047/jkp.v15i1.358

Jafari M. and Childbirth Understanding Gestational Age : Importance , Calculation and Clinical Implications. Jounal of Labor and Childbirth. 2024;152785(6):94–5. doi:10.37532/jlcb.2024.7(6).2

Lopez-Lopez AF, Martinez-Ruiz V, Amezcuz-Prieto C, Brueno-Cavanillas A, Maranon-Mederer S, Cano-Ibanez N. Information sources used by pregnant women to make healthy lifestyle choices : A qualitative analysis. Public Health. 2025;249(October). doi:10.1016/j.puhe.2025.106036

Yao J, Wang H, Jia S, Chen W, Hu E. Effects of mobile health technology on physical activity in pregnant women : a systematic review and meta-analysis. BMC Pregnancy & Childbirth. 2025;25. doi:https://doi.org/10.1186/s12884-025-08455-6

Hansen MH, Mørkved HS, Austad B, Vie Å, Getz LO, Mjølstad BP, et al. Worries and information seeking during pregnancy : a cross-sectional study among 1402 expectant Norwegian women active on social media platforms. Scandinavian Journal of Primary Health Care. 2025;43(2):488–99. doi:10.1080/02813432.2025.2461036

Asadollahi F, Zagami SE, Eslami S, Roudsari RL. Barriers and facilitators for mHealth utilization in pregnancy care : a qualitative analysis of pregnant women and stakeholder ’ s perspectives. BMC Pregnancy and Childbirth. 2025;25(141).

Moorthy M. Impact of Mobile Health ( mHealth ) on Antenatal Care Compliance : A Narrative Review. International Journal Of Innovative Research In Technology. 2025;12(6):4213–5.

Kurniawati P, Atin Amanah D, Ilmu Keperawatan M, Ilmu Keperawatan F. Using Mobile Health Based Expert System In Monitoring Risk Signs Of Pregnancy: Literature Review: Penggunaan Mobile Health (mHealth) Berbasis Sistem Pakar. ejournal.poltekkesjakarta1.ac.id. 2023;3(1). doi:10.36082/jhcn.v3i1.998

Habibi RMM, Moghbeli F, Langarizadeh M, Aghda, Ali SF. Mobile health apps for pregnant women usability and quality rating scales : a systematic review. BMC Pregnancy and Childbirt. 2024;24:1–9. doi:10.1186/s12884-023-06206-z

Darmiyanti NM, Candra IW. Efektivitas Penggunaan Teknologi Digital dalam Mengurangi Tingkat Kecemasan Ibu Hamil: A Systematic Literature Review. Jurnal Genta Kebidanan. 2025;14(2):1–6.

Dahur FJ, Hardianti M, Sukmana D, Reza AO, Susanti AI, Adnani QES, et al. Efektivitas Literasi Digital Kesehatan dan Pendidikan Online Terhadap Pengetahuan, Antenatal Care dan Kecemasan Ibu Hamil: Tinjauan Sistematis. Media Penelitian Dan Pengembangan Kesehatan. 2025;35(4):1416–28.

Hartati M, Pangesti WD. Pemanfaatan aplikasi digital bumil care PEAD untuk edukasi risiko preeklamsi awitan dini pada ibu hamil. Journal of Health Research Science. 2025;5(02):228–35.

Trisnadoli A, Lestari I. Evaluasi Efektivitas Pengujian Prototipe Aplikasi Kesehatan Untuk Monitoring Ibu Hamil Di Provinsi Riau. Jurnal Pendidikan Kesehatan. 2024;4(2):132–7.




DOI: https://doi.org/10.35971/jjhsr.v8i2.38319

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