Prediction model for composite adverse pregnancy outcomes: Indonesia demographic health survey analysis 10.55131/jphd/2024/220302

Main Article Content

Eka Santy Abdurrahman
Eka Budiarto
Indrajani Sutedja
Narila Mutia Nasir
Besral
Alias Masek
Kemal Nazaruddin Siregar

Abstract

Adverse Pregnancy Outcome (APO) is the leading cause of infant mortality, particularly in low and middle-income countries. Despite no significant change in neonatal mortality rates in Indonesia over the past fifteen years, identifying the risk factors for APO can help healthcare professionals provide personalized interventions and support. This study aims to determine the determinants of APO risk in Indonesia. The cross-sectional study utilized the 2017 Indonesian Health Demographic Survey (IDHS), which included 9,752 women of reproductive age. APO, including low birth weight, early birth, and stillbirth, was the outcome of the study. The demographic characteristics and other risk factors were evaluated. To identify APO-risk-associated factors, we performed multiple logistic regression analysis. The results showed that low economic status (Adj. OR= 1.407; 1.153-1.716; p= 0.001)), living in rural areas (Adj. OR= 0.804; 0.663-0.976; p= 0.027), having a history of pregnancy or childbirth complications (Adj. OR= 4.563; 3.617-5.756; p= 0.0001), premature rupture of the membrane during pregnancy or after giving birth (Adj. OR= 1.351; 1.069-1.708; p= 0.012), antenatal visits <4 times (Adj. OR= 1.603; 1.123-2.288; p= 0.009), consumption of iron supplement tablets <90 days (Adj. OR= 1.275; 1.063-1.529; p= 0.009), and twin pregnancy (Adj. OR= 33.715; 18.587-61.153; p= 0.0001) significantly influenced the APO prevalence. The study concluded that APO risk is significantly impacted by poor obstetric history features, multiple births, low health service utilization, and sociodemographic factors. Early detection of these risk factors is essential for reducing neonatal death caused by APO.

Article Details

How to Cite
1.
Abdurrahman ES, Budiarto E, Sutedja I, Mutia Nasir N, Besral, Masek A, Nazaruddin Siregar K. Prediction model for composite adverse pregnancy outcomes: Indonesia demographic health survey analysis: 10.55131/jphd/2024/220302. J Public Hlth Dev [Internet]. 2024 Sep. 9 [cited 2024 Sep. 27];22(3):12-26. Available from: https://he01.tci-thaijo.org/index.php/AIHD-MU/article/view/269712
Section
Original Articles
Author Biographies

Eka Santy Abdurrahman, Doctoral Program of Public Health Sciences, Faculty of Public Health, Universitas Indonesia,Indonesia

Doctoral Program of Public Health Sciences, Faculty of Public Health, Universitas Indonesia,Indonesia

Eka Budiarto, Department of Informatics Engineering, Faculty of Engineering and Information Technology,Swiss German University, Indonesia

Department of Informatics Engineering, Faculty of Engineering and Information Technology,Swiss German University, Indonesia

Indrajani Sutedja, School of Information System, Bina Nusantara University, Indonesia

School of Information System, Bina Nusantara University, Indonesia

Narila Mutia Nasir, Department of Public Health, Faculty of Health Sciences, State Islamic University of Syarif Hidayatullah, Indonesia

Department of Public Health, Faculty of Health Sciences, State Islamic University of Syarif, Hidayatullah, Indonesia

Besral, Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia, Indonesia

Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia, Indonesia

Alias Masek, Faculty of Technical and Vocational Education, Tun Hussein Onn University, Malaysia

Faculty of Technical and Vocational Education, Tun Hussein Onn University, Malaysia

Kemal Nazaruddin Siregar, Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia, Indonesia

Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia, Indonesia

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