Pengembangan Aplikasi Berbasis Web untuk Skrining Tingkat Depresi Ibu Pasca Melahirkan Menggunakan Skala EPDS dan PHQ-9
DOI:
https://doi.org/10.35760/ik.2025.v30i3.69Kata Kunci:
Web-Based Application, EPDS, Postpartum Mothers, PHQ-9, Depression ScreeningAbstrak
Anxiety and depression are mental health issues that are common in mothers during pregnancy and after childbirth. The prevalence of anxiety and depression among pregnant women is 12.6%, and among postpartum women, it is 10.1%. However, mental health screening is still not an integral part of comprehensive antenatal or postnatal care. This research aims to develop a website-based application for screening postpartum maternal depression levels using the EPDS and PHQ-9 scales. The method used involves application development using the PHP programming language and implementing the EPDS and PHQ-9 scales as assessment instruments. The research findings are a screening application that can help postpartum mothers self-assess their level of depression. The website has been successfully implemented and can be accessed online via the link https://postnatalcare.my.id/. The application is expected to serve as a screening tool for determining the level of postpartum depression in mothers and to assist midwives in monitoring patients' mental health conditions, enabling them to provide appropriate care.
Referensi
[1] A. S. Rini and S. F. Fauziah, “Prevalensi dan Determinan Depresi Postpartum di Masa Pandemi Covid-19,” J. Ilm. Kebidanan Indones., vol. 12, no. 3, pp. 100–106, 2022. DOI: https://doi.org/10.33221/jiki.v12i03.1524
[2] E. L. Rauf, F. A. A. Hiola, and F. D. Angriani, “Deteksi Dini Depresi Postpartum : Penggunaan Edinburgh Post Natal Depression Scale (EPDS),” J. Voice Midwifery, vol. 14, no. 1, pp. 1–8, 2024.
[3] D. N. Sari, H. Diatri, K. Siregar, and H. Pratomo, “Adaptation of the Edinburgh Postnatal Depression Scale in the Indonesian Version : Self-reported Anxiety and Depression Symptoms in Pregnant Women,” Open Access Maced. J. Med. Sci., vol. 9, pp. 1654–1659, 2021. DOI: https://doi.org/10.3889/oamjms.2021.7783
[4] N. Veri, L. Lajuna, and Dewita, “Pencegahan depresi postpartum : Review dan rekomendasi,” J. Kebidanan, vol. 4, no. 2, pp. 345–358, 2024. DOI: https://doi.org/10.30867/femina.v4i2.765
[5] A. Ariasih, M. Budiharsana, and S. Ronoatmodjo, “Common Mental Disorders and Associated Factors During Pregnancy and the Postpartum Period in Indonesia : An Analysis of Data From the 2018 Basic Health Research,” J. Prev. Med. Public Heal., vol. 57, no. 4, pp. 388–398, 2024. DOI: https://doi.org/10.3961/jpmph.24.082
[6] N. M. Darmiyanti and I. W. Candra, “Efektivitas Penggunaan Teknologi Digital dalam Mengurangi Tingkat Kecemasan Ibu Hamil: A Systematic Literature Review,” J. Genta Kebidanan, vol. 14, pp. 1–6, 2025. DOI: https://doi.org/10.36049/jgk.v14i2.335
[7] B. R. Bhusal, N. Bhandari, M. Chapagai, and T. Gavidia, “Validating the Edinburgh Postnatal Depression Scale as a screening tool for postpartum depression in Kathmandu , Nepal,” Int. J. Ment. Health Syst., pp. 1–7, 2016, doi: 10.1186/s13033-016-0102-6. DOI: https://doi.org/10.1186/s13033-016-0102-6
[8] K. Pratiwi, “Pemanfaatan Instrumen EPDS untuk Mengetahui Kejadian Baby Blues Syndrome Berdasarkan Kondisi Sosial dan Demografi di Indonesia,” J. Kesehat., vol. 12, no. 1, pp. 92–98, 2023. DOI: https://doi.org/10.46815/jk.v12i1.124
[9] P. I. Pratiwi, N. Nyoman, A. Desy, and I. A. Erlian, “Prevalensi dan Faktor-faktor Terkait Depresi Postpartum di Kabupaten Buleleng,” Indones. J. Midwifery, vol. 8, no. 2, pp. 117–124, 2025. DOI: https://doi.org/10.35473/ijm.v8i2.4468
[10] B. Levis, A. Benedetti, and B. D. Thombs, “Accuracy of Patient Health Questionnaire-9 ( PHQ-9 ) for screening to detect major depression : individual participant data meta-analysis,” BMJ, vol. 9, pp. 1–11, 2019, doi: 10.1136/bmj.l1476. DOI: https://doi.org/10.1136/bmj.l1476
[11] N. L. A. S. Anggarani, G. A. D. Mastryagung, and N. K. S. Ariani, “Screening for Postpartum Depression Risk Using Edinburgh Postnatal Depression Scale (EPDS) In Postpartum Mothers,” J. Ilm. Ilmu Kesehat., vol. 12, no. 2, pp. 330–338, 2024. DOI: https://doi.org/10.33366/jc.v12i2.4483
[12] E. Wahyuntari, O. Wahyu, M. Hakimi, and Ismarwati, “Korelasi Cara Bersalin dengan Depresi Postpartum,” J. Kebidanan dan Keperawatan, vol. 15, no. 1, pp. 22–30, 2019. DOI: https://doi.org/10.31101/jkk.995
[13] S. S. Devi and D. K. Sari, “Hubungan Usia Ibu Postpartum dengan Kejadian Depresi Pospartum di Posyandu Desa Wadunggetas,” J. Keperawatan Duta Med., vol. 3, no. 2, pp. 48–53, 2023. DOI: https://doi.org/10.47701/dutamedika.v3i2.2605
[14] R. D. Herliyanti, K. Ulfah, and Y. Nurchasanah, “Hubungan Dukungan Suami dengan Risiko Depresi Postpartum,” J. Integr. Kesehat. dan Sains, vol. 7, no. 2, pp. 139–144, 2025, doi: https://doi.org/10.29313/jiks.v7i2.7743. DOI: https://doi.org/10.29313/jiks.v7i2.7743
[15] Novinaldi, F. Edwardi, I. Gunawan, and D. Sarli, “Aplikasi Skrining Baby Blues Berbasis Android dengan Uji Sensitivitas dan Spesifisitas,” J. Rekayasa Sist. dan Teknol. Inf., vol. 4, no. 6, pp. 1135–1141, 2020. DOI: https://doi.org/10.29207/resti.v4i6.2481
[16] H. Maulana, D. C. Kurniasari, L. Sari, P. Wardhani, and T. S. Mustofa, “Digital Innovation for Monitoring the Mental Health of Students at UPN " Veteran " East Java Using the PHQ-9 Instrument,” J. Teknokes, vol. 18, no. 2, pp. 124–134, 2025. DOI: https://doi.org/10.35882/d384ah59
[17] I. Nurbaeti, M. Syafii, and K. B. Lestari, “Developing an android-based application for early detection of postpartum depression symptoms in Indonesia,” Belitung Nurs. J., vol. 7, no. 2, pp. 118–124, 2021. DOI: https://doi.org/10.33546/bnj.1308
[18] L. Wang, K. Kroenke, T. E. Stump, and P. O. Monahan, “Screening for Perinatal Depression with the Patient Health Questionnaire Depression Scale (PHQ-9): A Systematic Review and Meta-analysis,” Gen. Hosp. Psychiatry, vol. 68, pp. 74–82, 2021, doi: 10.1016/j.genhosppsych.2020.12.007.Screening. DOI: https://doi.org/10.1016/j.genhosppsych.2020.12.007
[19] F. M. Hakim, W. Nugroho, and A. Marissa, “Aplikasi Diagnosa Tingkat Depresi Mahasiswa Tingkat Akhir Berbasis Website Menggunakan Scoring Beck Depression Inventory,” in Seminar Nasional Teknologi Informasi dan Komunikasi (STI&K), 2024, pp. 97–106.
[20] C. N. Dian, E. Effendy, and M. M. Amin, “The Validation of Indonesian Version of Patient Health,” Open Access Maced. J. Med. Sci., vol. 10, pp. 193–198, 2022. DOI: https://doi.org/10.3889/oamjms.2022.9293
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