THE ANALYSIS OF MATERNAL CHARACTERISTICS AND REGULATION OF ANTENATAL CARE ON PREGNANCY RISK STATUS BASED ON THE INDEPENDENT FAMILY HEALTH EVALUATION

Diyan Indriyani, Esti Yunitasari, Ferry Efendi, Asmuji Asmuji, Sri Wahyuni Adriyani

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: High-risk pregnancy is a serious problem and needs to be detected early. Pregnant women with risk categories have a direct impact on the fetus. This study aimed to analyze maternal characteristics and the consistency of antenatal care visits in relation to the pregnancy risk status of pregnant women using the Independent Family Health Evaluation (IFHE) METHODS: This study used a cross-sectional study with a correlational design. The sample was the third-trimester pregnant women who have a maternal and child health record booklet, with a total sample of 128 respondents in Indonesia. The instrument used was a questionnaire adopted from the identification of family health in the IFHE application system. Data analysis was carried out using multiple logistics regression. RESULTS: The results showed that age (p = 0.004), height (p = 0.027), number of pregnancies (p = 0.0001), history of pregnancy (p = 0.0001), history of childbirth (p = 0.001), having children under 2 years of age (p = 0.001), pregnancy complications (p = 0.0001), and history of regular antenatal care (p = 0.0001) had a significant effect on pregnancy risk status. While history of tetanus toxoid immunization showed no relationship with pregnancy risk (p = 0.332). The final modelling of multiple logistic regression showed that the influential variables were age, the number of pregnancies and consistency of antenatal care. The number of pregnancies was the variable that had the strongest influence on pregnancy risk status (OR= 40.192). CONCLUSION: This research contributes valuable insights into the factors influencing pregnancy risk, providing a foundation for more effective antenatal care and ultimately better health for expectant mothers and their infants. Healthcare providers can use this information to identify pregnant women at higher risk and implement targeted interventions, thereby improving maternal and fetal outcomes.

Original languageEnglish
Article numberi2381
JournalAsia Pacific Journal of Health Management
Volume18
Issue number3
DOIs
Publication statusPublished - 2023

Keywords

  • antenatal care
  • family
  • maternal characteristics
  • risk pregnancy

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