MODELING THE DURATION OF MATERNAL LABOR AT ANUTAPURA HAMMER HOSPITAL USING LIN-YING ADDITIVE HAZARD REGRESSION
Abstract
The Central Sulawesi government has a Sustainable Development Goals (SDGs) target for 2020-2024, which sets the maternal mortality rate below 70/100,000 KH. However, in 2018-2022, the maternal mortality rate fluctuated by 128/100,000 KH. One of the factors causing maternal mortality is the duration of the labor process. The factors that are thought to have an influence on the duration of labor are gestational age, maternal age, baby height, parity, and hemoglobin levels. Therefore, this study aims to see what modeling and factors affect the duration of birth using Lin-Ying additive hazard regression analysis. Data were obtained from the medical records of normal deliveries between January and December 2023 at Anutapura Palu Hospital. The results showed that the factors that affect the duration of birth are preterm gestational age, aterm gestational age, maternal age 20-35 years, primigravida mothers, multigravida mothers, and mothers who are not anemic. A limitation of this study is the relatively short data collection period of one year, which may not capture variations or trends in labor outcomes over time.
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R. D. S. T. N. Jahriani, “FAKTOR-FAKTOR YANG MEMPENGARUHI PERSALINAN NORMAL DI KLINIK HARAPAN BUNDA KABUPATEN PADANG LAWAS UTARA TAHUN 2021,” J. Gentle Birth, no. Vol 5, No 1 (2022): Januari, pp. 1–7, 2022, [Online]. Available: http://ejournal.ikabina.ac.id/index.php/jgb/article/downloadSuppFile/rani/1
Dinkes Sulawesi Tengah, “PROFIL KESEHATAN PROVINSI SULAWESI TENGAH,” Profil Kesehat. Provinsi Sulawesi Teng., pp. 1–377, 2021, [Online]. Available: https://dinkes.sultengprov.go.id/wp-content/uploads/2022/05/PROFIL-DINAS-KESEHATAN-2021.pdf
B. Francis and J. F. Lawless, STATISTICAL MODELS AND METHODS FOR LIFETIME DATA, vol. 39, no. 3. 1983. doi: https://doi.org/10.2307/2531129
A. N. Hastuti, Y. Wilandari, and S. Sudarno, “ANALISIS LAJU PERBAIKAN KONDISI KLINIS PASIEN STROKE MENGGUNAKAN REGRESI HAZARD ADITIF LIN-YING (STUDI KASUS: DATA PASIEN STROKE DI RSUD PANDAN ARANG BOYOLALI PERIODE JANUARI 2021 - AGUSTUS 2021),” J. Gaussian, vol. 11, no. 2, pp. 206–217, 2022. doi: https://doi.org/10.14710/j.gauss.v11i2.35465
Ulinnuha, PERBANDINGAN REGRESI HAZARD MENGGUNAKAN METODE COX PROPORTIONAL HAZARD DAN LIN DAN YING, Univ. Islam Indones., 2018.
A. Urfiyyati, D. A. I. Maruddani, G. C. Chrisnadewi, A. Kurnia, A. D. Salsabila, and N. Khoir, “REGRESI HAZARD ADITIF LIN-YING UNTUK ANALISIS PERBAIKAN KONDISI KLINIS PASIEN KANKER PAYUDARA,” Endurance, vol. 6, no. 2, pp. 309–318, 2021. doi: https://doi.org/10.22216/jen.v6i2.283
M. Defriani, APLIKASI MODEL HAZARD ADDITIVE LIN & YING SEBAGAI PENDUGA KEKAMBUHAN PADA PENDERITA ENDOMETRIOSIS. 2021.
Mahfuz Hudori, E. Erfiani, and M. Nur Aidi, “PEMODELAN DATA KELAHIRAN ANAK PERTAMA MENGGUNAKAN REGRESI COX PROPORTIONAL HAZARD,” Saintifik, vol. 7, no. 1, pp. 1–7, 2021. doi: https://doi.org/10.31605/saintifik.v7i1.279
U. Mahmudah, S. Surono, P. W. Prasetyo, M. S. Lola, and A. E. Haryati, “COX PROPORTIONAL HAZARD REGRESSION SURVIVAL ANALYSIS FOR TYPE 2 DIABETES MELITUS,” BAREKENG J. Ilmu Mat. dan Terap., vol. 16, no. 1, pp. 253–262, 2022. doi: https://doi.org/10.30598/barekengvol16iss1pp251-260
F. Yanuar, S. Wulandari, and I. Rahmi, “SURVIVAL ANALYSIS FOR SCALE PARAMETER OF WEIBULL DISTRIBUTION WITH MLE AND BAYESIAN METHOD,” Barekeng J. Ilmu Mat. dan Terap., vol. 15, no. 1, pp. 147–156, 2021. doi: https://doi.org/10.30598/barekengvol15iss1pp147-156
D. G. Kleinbaum and M. Klein, SURVIVAL ANALYSIS, vol. 21, no. 19–20. 2012. doi: https://doi.org/10.1111/j.1365-2702.2011.04023.x
A. R. Faisal, M. N. Bustan, and S. Annas, “ANALISIS SURVIVAL DENGAN PEMODELAN REGRESI COX PROPORTIONAL HAZARD MENGGUNAKAN PENDEKATAN BAYESIAN (STUDI KASUS: PASIEN RAWAT INAP PENDERITA DEMAM TIFOID DI RSUD HAJI MAKASSAR),” VARIANSI: Jurnal Statistik dan Its Application in Teaching and Research, vol. 2, no. 2, p. 62, 2020. doi: https://doi.org/10.35580/variansiunm14629
I. Langner, “SURVIVAL ANALYSIS: TECHNIQUES FOR CENSORED AND TRUNCATED DATA,” Biometrics, vol. 62, no. 2, p. 631, Jun. 2006. doi: https://doi.org/10.1111/j.1541-0420.2006.00589_9.x
A. Kurniawan, A. T. Previan, and Z. I. Nurrohmah, “SURVIVAL FUNCTION AND HAZARD FUNCTION ANALYSIS OF EXPONENTIAL DISTRIBUTION IN TYPE I CENSORED SURVIVAL DATA: A CASE STUDY OF BREAST CANCER PATIENTS,” BAREKENG J. Ilmu Mat. dan Terap., vol. 17, no. 3, pp. 1795–1802, 2023. doi: https://doi.org/10.30598/barekengvol17iss3pp1795-1802
S. P. Jenkins, “SURVIVAL ANALYSIS,” Transl. Orthop., no. -, July, 2005. doi: https://doi.org/10.1016/B978-0-323-85663-8.00075-1
D. Danardono, ANALISIS DATA SURVIVAL. Yogyakarta: Universitas Gadjah Mada, 2012.
F. Khairunnisa, F. Saumi, and A. Amelia, “SURVIVAL ANALYSIS OF DENGUE HEMORRHAGIC FEVER PATIENTS (DHF),” BAREKENG J. Ilmu Mat. dan Terap., vol. 16, no. 3, pp. 897–908, 2022. doi: https://doi.org/10.30598/barekengvol16iss3pp897-908
T. Wuryandari, S. H. Kartiko, and D. Danardono, “ANALISIS SURVIVAL UNTUK DURASI PROSES KELAHIRAN MENGGUNAKAN MODEL REGRESI HAZARD ADDITIF,” J. Gaussian, vol. 9, no. 4, pp. 402–410, 2020. doi: https://doi.org/10.14710/j.gauss.v9i4.29259
H. P. Lestari, L. Noviyanti, G. R. Setyanto, U. Padjadjaran, and P. Hazard, “MODEL REGRESI HAZARD ADITIF UNTUK WAKTU TUNGGU KEJADIAN BERULANG DENGAN CAUSE SPECIFIC,” 1995.
N. Hapsari, MODEL REGRESI HAZARD MULTIPLIKATIF DAN HAZARD ADITIF LIN-YING (STUDI KASUS: KECELAKAAN LALU LINTAS DI AMERIKA SERIKAT), vol. 85, no. 1. Malang, Indonesia: Universitas Brawijaya, 2016. [Online]. Available: https://repository.ub.ac.id/id/eprint/155044/1/NIKEN HAPSARI.pdf
A. Kurniarum, ASUHAN KEBIDANAN PERSALINAN DAN BAYI BARU LAHIR. Jakarta Selatan, 2016.
S. Efendi, N. Sriyanah, A. S. Cahyani, S. Hikma, and K. K, “PENTINGNYA PEMBERIAN ASI EKSKLUSIF UNTUK MENCEGAH STUNTING PADA ANAK,” Idea Pengabdi. Masy., vol. 1, no. 02, pp. 107–111, 2021. doi: https://doi.org/10.53690/ipm.v1i01.71
A. Ramadhan.B and N. Fauziah, “FAKTOR YANG MEMENGARUHI KEJADIAN AFIKSIA NEONATORUM DI RSU SAKINAH LHOKSEUMAWE,” J. Healthc. Technol. Med., vol. 6, no. 1, pp. 411–423, 2020.
D. M. Sandy and S. Sulistyorini, “HUBUNGAN PENGETAHUAN DAN USIA IBU HAMIL DENGAN KEHAMILAN RESIKO TINGGI DI PMB DWI RAHMAWATI PALEMBANG,” J. Kesehat. Indra Husada, vol. 8, no. 4, pp. 513–517, 2020. doi: https://doi.org/10.36973/jkih.v11i2.511
D. Carissa, PERBEDAAN TINGGI BADAN AKTUAL DENGAN TINGGI BADAN MENGGUNAKAN PANJANG ULNA PADA MAHASISWA SEMESTER V FAKULTAS KEDOKTERAN UNS. Surakarta, 2015.
Yuli Kusumawati, FAKTOR-FAKTOR YANG BERPENGARUH TERHADAP PERSALINAN DENGAN TINDAKAN (STUDI KASUS DI RS DR. MOEWARDI SURAKARTA. Semarang, 2006.
Mujahadatuljannah and Rabiatunnisa, “ANALISIS KARAKTERISTIK KADAR HEMOGOBLIN PADA IBU HAMIL DI DAS,” pp. 232–235. doi: https://doi.org/10.33084/jsm.v10i2.7747
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