Prevalence and Distribution of Risk Factors for Preterm Labor in RSUP DR. Mohammad Hoesin Palembang Period January 1 2020 – December 31 2023
Abstract
Objective: This study aims to determine the prevalence and distribution of risk factors for preterm labor.
Methods: This is a descriptive observational study with a cross-sectional design. The data used in this study were secondary data obtained with the total sampling method from the medical records of Dr. Mohammad Hoesin Palembang Hospital from January 1, 2020 to December 31, 2023.
Results: This study found 1,654 cases of preterm labor from January 1, 2020 to December 31, 2023. The analysis of risk factors among mothers indicated that those within the high-risk age categories (<20 years and >35 years) constituted 31.7%. Multiparous and grand multiparous women represented 41.7%, while multiple pregnancies accounted for 6.6%. A history of premature rupture of membranes was noted in 25.4% of cases, polyhydramnios was observed in 1.3%, and a history of cesarean delivery was found in 25.4%. Furthermore, 33% suffered from hypertension, and 2.5% had diabetes. Anemia was prevalent in 47.9% of the mothers, and infection was reported in 42.8%. A history of preterm delivery was noted in 13.7%, risky gestational distance was found in 10.6%, and 25% had a history of antepartum hemorrhage. Finally, obesity was observed in 14.5% of the mothers.
Conclusion: The number of deliveries continued to decrease, but the prevalence of preterm labor increased from 2020 to 2023. Anemia is the most common risk factor found in mothers with preterm labor.
Prevalensi dan Distribusi Faktor Risiko Persalinan Prematur di RSUP Dr. Mohammad Hoesin Palembang dalam Tiga Tahun
Abstrak
Tujuan: Penelitian ini bertujuan untuk mengetahui prevalensi serta distribusi faktor risiko persalinan prematur.
Metode: Penelitian ini merupakan penelitian deskriptif observasional dengan desain cross-sectional. Data yang digunakan dalam penelitian ini merupakan data sekunder dengan metode total sampling dari data rekam medik RSUP Dr. Mohammad Hoesin Palembang periode 1 Januari 2020 – 31 Desember 2023.
Hasil: Terdapat 1654 kasus persalinan prematur dengan periode 1 Januari 2020 – 31 Desember 2023. Distribusi faktor risiko didapatkan ibu dengan usia berisiko (<20 tahun dan >35) tahun (31,7%), paritas multipara dan grandemultipara (41,7%), kehamilan multipel (6,6%), riwayat ketuban pecah dini (25,4%), polihidramnion (1,3%), riwayat persalinan sesar (25,4%), hipertensi (33%), diabetes (2,5%), anemia (47,9%), infeksi (42,8%), riwayat persalinan prematur (13,7%), jarak kehamilan berisiko (10,6%), riwayat perdarahan antepartum (25%), obesitas (14,5%).
Kesimpulan: Jumlah persalinan terus mengalami penurunan, namun prevalensi kejadian persalinan prematur terus mengalami peningkatan dari tahun 2020-2023. Anemia menjadi faktor risiko paling banyak yang ditemukan pada ibu dengan persalinan prematur.
Kata kunci: Prevalensi, Persalinan Prematur, Faktor Risiko
Full Text:
PDFReferences
Cunningham G, Leveno K, Dashe J, Hoffman B, Spong C, Casey B. Williams Obstetrics. 26th ed. Nelson D, editor. Texas: McGraw Hill; 2020.
Prawirohardjo S. Ilmu Kebidanan. 4th ed. Jakarta: PT Bina Pustaka Sarwono Prawirohardjo; 2020.
Bayar E, Bennett PR, Chan D, Sykes L, MacIntyre DA. The pregnancy microbiome and preterm birth. Semin Immunopathol. 2020;42(4):487–99.
Frey HA, Klebanoff MA. The epidemiology, etiology, and costs of preterm birth. Semin Fetal Neonatal Med [Internet]. 2016;21(2):68–73.
Dinas Kesehatan Provinsi Sumatera Selatan. Profil Kesehatan Sumatera Selatan. 2019;
Hasda, Kurniawan F. Stress ibu selama kehamilan merupakan risiko persalinan prematur. Jurnal Ilmiah Penelitian Kesehatan. 2024;9(1):109–17.
Trisa Y, Martadiansyah A, Sari R, Rasyid P. Prevalensi dan faktor risiko persalinan preterm di RSUP Dr. Mohammad Hoesin Palembang periode 1 Januari 2015 - 31 Desember 2017. SJM [Internet]. 2019 Apr 2 [cited 2024 Jun 12];2(2):83–92.
Crump C, Sundquist J, Sundquist K. Preterm birth and risk of type 1 and type 2 diabetes: a national cohort study. Diabetologia [Internet]. 2020 Mar 1 [cited 2024 Nov 13];63(3):508–18. Available from: https://pubmed.ncbi.nlm.nih.gov/31802143/
Khezri R, Salarilak S, Jahanian S. The association between maternal anemia during pregnancy and preterm birth. Clin Nutr ESPEN [Internet]. 2023 Aug 1 [cited 2024 Nov 13];56:13–7. Available from: http://clinicalnutritionespen.com/article/S2405457723001274/fulltext
Sungkar A, Fattah ANA, Surya R, Santoso BI, Zalud I. High preterm birth at Cipto Mangunkusumo Hospital as a national referral hospital in Indonesia. Medical Journal of Indonesia. 2017 Sep 1;26(3):198–203.
Umi O, Khoiriyah H, Aini I, Purwanti T. Hubungan preeklampsia dengan kejadian persalinan preterm. 11(1).
Anggraini R. Hubungan persalinan prematur dan preeklamsi berat dengan berat badan lahir rendah pada ibu bersalin [Internet]. [cited 2024 Nov 25]. Available from: https://www.ejournal.stikesabdurahman.ac.id/index.php/jkab/article/view/40/43
Sabili M. Faktor faktor yang mempengaruhi kejadian berat badan lahir rendah di wilayah kerjas puskesmas tanralili kabupaten maros.
Universitas Alauddin Makassar [Internet]. 2019 [cited 2024 Nov 25]; Available from: http://repositori.uin-alauddin.ac.id/20149/1/MUHAMMAD%20IRSYAD%20SABILI_7020011596.pdf
Liva Maita. Faktor ibu yang mempengaruhi persalinan prematur di RSUD Arifin Achmad Pekanbaru. Jurnal Kesehatan Komunitas. 2012;2(1).
Syufal Ningsih N, Aprilia Tiodika T, Florensia Situmeang I. Faktor-faktor yang berhubungan dengan kejadian persalinan prematur di RSUD Cibinong Kabupaten Bogor. 2022;
Szyszka M, Rzońca E, Rychlewicz S, Bączek G, Ślęzak D, Rzońca P. Association between parity and preterm birth—retrospective analysis from a single center in poland. Healthcare [Internet]. 2023 Jun 1 [cited 2024 Nov 11];11(12):1763. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC10298556/
Wagura P, Wasunna A, Laving A, Wamalwa D, Ng’ang’a P. Prevalence and factors associated with preterm birth at kenyatta national hospital. BMC Pregnancy Childbirth. 2018 Apr 19;18(1).
Jiang M, Mishu MM, Lu D, Yin X. A case control study of risk factors and neonatal outcomes of preterm birth. Taiwan J Obstet Gynecol. 2018 Dec 1;57(6):814–8.
Sanjaya INH, Mulyana RS, Pangkahila ES, Prasetyo D. Management of polyhydramnios pregnancy without risk factors: a case report. Indonesian Journal of Perinatology. 2020 Aug 26;1(1):9–12.
Woolner AMF, Raja EA, Bhattacharya S, Black ME. Risk of spontaneous preterm birth elevated after first cesarean delivery at full dilatation: a retrospective cohort study of over 30,000 women. Am J Obstet Gynecol. 2024 Mar 1;230(3):358.e1-358.e13.
An H, Jin M, Li Z, Zhang L, Li H, Zhang Y, et al. Impact of gestational hypertension and pre-eclampsia on preterm birth in China: a large prospective cohort study. BMJ Open [Internet]. 2022 Sep 27 [cited 2024 Nov 12];12(9):e058068. Available from:
https://pmc.ncbi.nlm.nih.gov/articles/PMC9516080/
Rao C, Ruiter L, Bhat P, Keemath V, Kamath A, Bhat V. A case-control study on risk factors for preterm deliveries in a secondary care hospital, southern india. Hindawi Publishing Corporation ISRN Obstetrics and Gynecology [Internet]. 2014 [cited 2024 Nov 25]; Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC3976879/pdf/ISRN.OBGYN2014-935982.pdf
DOI: http://dx.doi.org/10.24198/obgynia.v8i1.825
Refbacks
- There are currently no refbacks.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
_CROSREF22.jpg)








