Analisis Faktor Risiko Kejadian Preeklampsia Berat Di Rsud Rujukan Kabupaten Dan Provinsi Kalimantan Tengah

Risk Factors Analysis of Severe Preeclampsia Events in the District and Province of Central Kalimantan

Authors

  • Legawati Legawati Poltekkes Kemenkes Palangka Raya
  • Nang Randu Utama Poltekkes Kemenkes Palangka Raya

DOI:

https://doi.org/10.33084/jsm.v3i1.210

Keywords:

Risk Factors, Pre Eclampsia, maternal and perinatal outcome

Abstract

The maternal mortality rate (MMR) and infant mortality rate (IMR) is a barometer of a country's health services. In developed countries, the incidence of severe preeclampsia and eclampsia ranges from 6-7% 0.1 to 0.7%. While the maternal mortality rate due to pre-eclampsia and eclampsia in developing countries is still high (Betty & Yanti, 2011). To analyze the risk factors of weight in Pre eclampsia Referral Hospital Sultan Imanudin Pangkalan Bun and Dr. Doris Sylvanus Palangkaraya. This was an observational study conducted using a cross sectional study design. A cross-sectional study is when the influence of independent variables (exposure) and the dependent variable (effect) is observed and measured at the same time. Based on multivariable logistic regression analysis of factors affecting the risk factors PEB is the mother's age, education, gestational age, parity, ANC. Factors unrelated significantly is work, spacing, PE history, history of diabetes, Gemelli, economic and social decision-making. Factors that increase the risk of PEB is the mother's age, education, occupation, gestational age, parity, history of PE, the ANC and the social economy. Factors unrelated significantly is spasing, history of diabetes, Gemelli, and decision making. For pregnant women can do a pregnancy without looking at risk factors for PEB or no risk factors, to see some of the risk factors determinants. For health workers to carry out pregnancy tests with a focus on the pregnancy.

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Author Biographies

Legawati Legawati, Poltekkes Kemenkes Palangka Raya

Lecturer of Midwifery Poltekkes Kemenkes Palangka Raya

Nang Randu Utama, Poltekkes Kemenkes Palangka Raya

Lecturer of Midwifery Poltekkes Kemenkes Palangka Raya

References

Badan Pusat Statistik, BKKBN, Depkes & ORC Macro (2012), Survey demografi dan kesehatan Indonesia (SDKI). Jakarta.
Betty R.F dan Yanti.,(2011) Hubungan Karakteristik Ibu dengan Kejadian Pre Eklamsia di RSUI YAKSSI Sragen, Jurnal Kebidanan Vol III no 1
Bilano, VR., Ota,E., Ganchimeg,T., Mori,R and Souza, JP (2014) Risk Factors of Pre-Eclampsia/Eclampsia and Its Adverse Outcomes in Low and Middle Income Countries: A WHO Secondary Analysis. PLOS ONE, Vol 9, Issue, 91198
Bobak, I.M., Lowdermilk, D.L., Jensen M.D., (2005) Buku Ajar Keperawatan Maternitas edisi 4, EGC, Jakarta.
Cuningham,F.G (2002) Obstetri Williams, edisi 18, 177, EGC, Jakarta.
Cunningham, F.G., Gant, N.F., Levena, K.J., Gilstrap III, L.C., Hauth, J.C., Wenstrom, K.D ( 2006) Obstetri Williams, edisi 21, EGC, Jakarta.
El-Moselhy, E., Khaliga, H.O., Amer, SM., Mohammad, KI and Abd El-Aal, HM (2011) Risk factors and Impacts of Preeclampsia: An Epidemiological Study among Pregnant Mothers in Cairo, Egypt. Journal of American Science, Vol 7(5)
English, F.A., KennyL.C & Carthy F.P (2015) Risk factors and effective management of pre-eclampsia. Dove Medical Press, Vol 8.7-12
Jusup, S.A ( 2008) Stress Pada Wistar Rat Hamil Sebagai Model Penelitian Pre Eklampsia. Nexus Medicus, volume 18, halaman 100.
Karkata, M.K. (2006) Faktor Risiko Terjadinya Hipertensi Dalam Kehamilan, Majalah Obstetri dan Ginekologi Indonesia, edisi Januari 2006.
Manuaba, I Gede Bagus (2007) Ilmu Penyakit Kebidanan, Kandungan dan Pelayanan KB untuk pendidikan Bidan, EGC, Jakarta.
Moghadam, AS., Khosavri, A and Sayehmiri, K (2012) Predictive factors for pre eclampsia in pregnant women: a univariate and multivariate logistic regression analysis. Acta Biochimica Polonica, Vol 59 No4, 673-677.
Nort, RA.,Cowan,LME., Dekker,GA., Poston, L., Chan,EHY., Stewart,AW., Black MA., Taylor, RS., Walker,JJ., Baker,PN and Kenny LC (2011) Clinical risk predition for preeclampsia in nulliparous women:development of model in international prospective cohort. BMJ, 1-11 pages.

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Published

2017-08-01

How to Cite

Legawati, L., & Utama, N. R. (2017). Analisis Faktor Risiko Kejadian Preeklampsia Berat Di Rsud Rujukan Kabupaten Dan Provinsi Kalimantan Tengah: Risk Factors Analysis of Severe Preeclampsia Events in the District and Province of Central Kalimantan. Jurnal Surya Medika (JSM), 3(1), 19–37. https://doi.org/10.33084/jsm.v3i1.210