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All Journal Jurnal Gizi dan Pangan Jurnal Bidan Cerdas
Monoarfa, Yustianty
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Health Professions Public Health

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Determinant of Non-pregnant Women's Anemia in Banggai Regency Yuwono, Dian Kurniasari; Monoarfa, Yustianty; Otoluwa, Anang S.; Galenso, Nitro; Mulyani, Mulyani; Tiwow, Marlinne; Dewi, Rita Kartika; Narsi, Ni Ketut; Lalusu, Erni Yusnita
Jurnal Gizi dan Pangan Vol. 19 No. Supp.2 (2024)
Publisher : The Food and Nutrition Society of Indonesia in collaboration with the Department of Community Nutrition, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25182/jgp.2024.19.Supp.2.304-313

Abstract

This study purpose is to seek the determinant factors of anemia in non-pregnant women in Banggai Regency. With a cross-sectional design, we collect data from 308 non-pregnant women through non-probability sampling. Variables collected were age, Body Mass Index (BMI), Middle Upper Arm Circumference (MUAC), abdominal circumference, education, ownership of a healthy latrine, water source for cooking, and daily consumption of iron-source food such as legumes, green vegetables, also fish or meat. Bivariate and logistic regression was used to identify variables that correlate with anemia. The mean age and hemoglobin levels were 30±6.2 years and 12.7±1.5 g/dL, respectively. About 80 (25.97%) of the subjects were anemic. Bivariate analysis shows that water from standardized sources/facilities for cooking, ownership of a healthy latrine, MUAC, daily consumption of legumes, and daily consumption of fish or meat were variables that significantly correlated with anemia (p<0.05). Moreover, after we performed logistic regression, non-pregnant women who did not use standardized clean water for cooking (OR 2.19; p=0.09) and did not consume fish or meat daily (OR 2.28; p=0.02) were at higher risk of having anemia. Determinant factors that significantly correlate with anemia in Banggai Regency's non-pregnant women were water utilization from not-standardized sources/facilities for cooking and not consuming of fish or meat daily. Local governments should include these variables in their new reformulated and innovative stunting-reducing programs. Thus, perhaps they can achieve their expected targets, such as non-anemic pregnant women, which, in the long run, can reduce stunting.
Implementation of The draivCare App on Maternal Health Services Yuwono, Dian Kurniasari; Monoarfa, Yustianty; Galenso, Nitro
Jurnal Bidan Cerdas Vol. 7 No. 2 (2025)
Publisher : Poltekkes Kemenkes Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33860/jbc.v7i2.4049

Abstract

Background: Banggai Regency government collaborated with a local start-up, Draiv, to develop a health service app specialized for pregnant women, called draivCare. This study aims to evaluate the effect of draivCare utilization on maternal health services. Methods: This is a case-control method to identify the differentiation of ANC services utilization during the pregnancy period between groups. We use secondary data and conducting interview with midwives. A total 39 pregnant women who use draivCare app in their pregnancy were administered to the intervention(case) group, whereas 156 pregnant women who did not use draivCare app in their pregnancy belong to the control group. Antenatal care (ANC) frequency and components were the variables studied using chi-square. Results: The proportion of mother who received the fetal examination and the proportion of mothers who received tetanus toxoid immunization are significantly differ between groups. Despite the barriers such as android-based mobile phone ownership of the mothers, the communication between pregnant women and midwives is quite intense. Conclusion: The implementation of draivCare app has yet to affect pregnant women’s health care quality and quantity significantly. However, the intense communication between pregnant women and midwives shows a potential effect of the app on improving antenatal care.
Co-Authors Dewi, Rita Kartika Lalusu, Erni Yusnita Mulyani Mulyani Narsi, Ni Ketut Nitro Galenso Otoluwa, Anang S. Tiwow, Marlinne Yuwono, Dian Kurniasari