Perbedaan hasil kelahiran bayi di perkotaan dan perdesaan di Kalimantan Tengah

wilda, supiana (2024) Perbedaan hasil kelahiran bayi di perkotaan dan perdesaan di Kalimantan Tengah. Skripsi, PROGRAM STUDI SARJANA TERAPAN KEBIDANAN, POLTEKKES KEMENKES PALANGKARAYA.

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Abstract

AKB menurut data WHO pada tahun 2020 mencapai 17/1000 KH, kematian neonatal sebagian disebabkan oleh kelahiran premature, asfiksia, infeksi dan cacat lahir (WHO, 2022). Provinsi Kalimantan Tengah termaksud di antara 10 provinsi dengan persentase kematian ibu dan bayi tertinggi.(DinKes Kalimantan Tengah, 2023). Untuk mengetahui faktor perbedaan hasil kelahiran di perkotaan (RSUD dr. Doris Sylpanus) dan perdesaan (RSUD Tamiang Layang) di Kalimantan Tengah. Penelitian ini merupakan penelitian kuantitatif. Teknik sampel dalam penelitian ini menggunakan total sampling. Populasi pada ibu yang melahirkan di wilayah kerja RSUD dr. Doris Sylvanus dan RSUD Tamiang Layang pada bulan Juli hingga Bulan Desember Tahun 2023. Hasil Penelitian bahwa Diperkotaan (RSUD Doris Sylvanus) dan Perdesaan (RSUD Tamiang Layang) yang disilangkan dengan Faktor demografi (Umur), Faktor medis dan obstetric(Usia Kehamilan, Paritas, Jenis Kelamin bayi, Riwayat Penyakit seperti Anemia, Jantung, Asma, Mioma Uteri, Covid-19, Disfungsi Tiroid), Luaran maternal (Polihidramnion, Plasenta Abnormal, Distosia Bahu, Perdarahan Postpartum,ICU Admission dan Kematian Ibu) dan Luaran Neonatal (Kelainan Kongenital, NICU Admission dan Kematian Bayi) menunjukkan hasil analisis menggunakan chi-square dan uji kolmogorov, pada variabel tersebut didapat p-Value .088-1.000 dimana perolehan tersebut lebih besar dariketentuan 0,05 (5%) sehingga dapat disimpulkan tidak terdapat hubungan antara variabel. Sedangkan Faktor demografi (Asuransi), Faktor medis dan obstetric (Jenis Persalinan,Hipertensi,Hepatitis) Luaran maternal (Oligohidramnion,Preeklamsia) dan Luaran Neonatal (Berat bayi lahir dan Asfiksia) menunjukkan hasil analisis menggunakan chi-square dan uji kolmogorov, didapat p-Value .000–,012 dimana perolehan tersebut lebih kecil dari ketentuan 0,05 (5%) sehingga dapat disimpulkan ada terdapat hubungan antara variabel.

AKB according to WHO data in 2020 reached 17/1000 KH, neonatal deaths were partly caused by premature birth, asphyxia, infection and birth defects (WHO, 2022). Central Kalimantan Province is among the 10 provinces with the highest percentage of maternal and infant deaths (Central Kalimantan Health Office, 2023). To determine the differences in birth outcomes in urban areas (RSUD Dr. Doris Sylpanus) and rural areas (RSUD Tamiang Layang) in Central Kalimantan. This research is quantitative research. The sampling technique in this research used total sampling. The population of mothers who gave birth in the working area of RSUD dr. Doris Sylvanus and Tamiang Layang Regional Hospital from July to December 2023. The results of the research were that in urban areas (Doris Sylvanus Hospital) and rural areas (Tamiang Layang Hospital) which were crossed with demographic factors (age), medical and obstetric factors (gestational age, parity, sex of the baby, history of diseases such as anemia, heart disease, asthma, uterine myoma , Covid-19, Thyroid Dysfunction), Maternal Outcomes (Polyhydramnios, Abnormal Placenta, Shoulder Dystocia, Postpartum Hemorrhage, ICU Admission and Maternal Death) and Neonatal Outcomes (Congenital Abnormalities, NICU Admission and Infant Death) showing the results of analysis using chi-square and Kolmogorov test, for this variable the p-Value was found to be .088-1,000 where the gain was greater than the 0.05 (5%) requirement so it could be concluded that there was no relationship between the variables. Meanwhile, demographic factors (insurance), medical and obstetric factors (type of delivery, hypertension, hepatitis), maternal outcomes (oligohydramnios, preeclampsia) and neonatal outcomes (birth weight and asphyxia) showed the results of analysis using chi-square and Kolmogorov tests, obtained p- The value is .000–.012 where the gain is smaller than the 0.05 (5%) requirement so it can be concluded that there is a relationship between the variables.

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