The barrier to maternity care in rural Indonesia

Matahari

2020

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Background: The husband's involvement in ANC is a form of the husband's responsibility for his wife's health. This study aims to analyze the effect of the husband's education level on the husband's involvement in ANC visits among the poor in Indonesia.Methods: The study employed the 2017 Indonesian Demographic and Health Survey data. The unit of analysis was poor coupled with wives aged 15-49 years old and had been pregnant for the past five years. Samples of 6,414 couple were obtained. Besides the husband's education, other independent variables analyzed in this study were of the place of residence, age, occupation, and wife’s parity. A binary logistic regression test was occupied in the final stage.Results: The results showed that husbands who had primary education were 1.470 times more likely than no education husbands for husband's involvement in ANC visit. Husbands who have secondary education were likely 2.129 times compared to no education husband for husband's involvement. Meanwhile, a husband who has a higher education was probably 3.618 times compared to no education husband for husband's involvement. In addition to the education level, 3 other variables proved to be significantly influential on the husband's involvement in ANC visits among the people in Indonesia, namely place of residence, occupation, and wife’s parity.Conclusion: The husband's education level was a determinant of the husband's involvement in ANC visits among the poor in Indonesia. The better the education level, the more likely it is that husband's involvement in the ANC visit.

Section: Discussionmentioning

confidence: 99%

Does a Husband's Education Matter in Antenatal Care Visits Involvement?: Study on the Poor in Indonesia

Matahari

2020

Preprint

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“…In general, better education is known as a positive determinant of output performance in the health sector (Ipa et al, 2020;Megatsari et al, 2020;Wulandari and Laksono, 2020b). On the other hand, low levels of education are a barrier to achieving better performance in the health sector (Laksono and Wulandari, 2020;Rohmah et al, 2020).…”

Section: Resultsmentioning

confidence: 99%

Relationship between Environment, Smoking Behavior, Education, Poverty, and Prevalence of Stunted Toddler in Indonesia: An Ecological Analysis

2020

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Background: The prevalence of stunted toddler in Indonesia is very high. The study was aimed at analyzing ecologically the factors related to the prevalence of stunted toddler in Indonesia.Methods: Ecological analysis was conducted using secondary data from the Ministry of Health of the Republic of Indonesia report in 2018. Apart from the stunted toddler, 6 other variables analyzed as independent variables were the percentage of households with access to safe drinking water sources, percentage of households with access to proper sanitation, percentage of households that occupy livable houses, percentage of the population who smoke, percentage of poor people, and percentage of the population completing basic education. Data were analyzed using a scatter plot.Results: The results of the study found that 4 variables (the percentage of household with access to a safe drinking water source, the percentage of household with access to proper sanitation, the percentage of the household that occupy livable houses, and the percentage of the population completing basic education) had a negative relationship with the prevalence of stunted toddlers in Indonesia. This means that the four variables are protective factors for a province to have a high prevalence of stunted toddler. Meanwhile, the percentage of poor people was found to be positively correlated with the prevalence of stunted toddlerConclusion: It was concluded that the five factors were related to the prevalence of stunted toddler in Indonesia.

“…This information contradicts previous research in Pakistan, Ethiopia and several countries in sub-Saharan Africa that informs that living in rural areas is a risk factor for unintended pregnancy in women compared to women living in urban areas [9][10][11] . In the Indonesian context, the availability of health facilities is better in urban areas than rural areas 12,13 , including the availability of contraceptives.…”

Section: Discussionmentioning

confidence: 99%

Factors Influencing Unintended Pregnancies among Childbearing Age Women in Indonesia

2020

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Background: Unintended pregnancy can cause pregnancy termination, which leads to safety risks. The purpose of the study was to analyze the factors that influence unintended pregnancies in Indonesia.Methods: The analysis unit was women aged 15-49 years old who gave birth to the last 5 years. The sample size was 36,472 women. In addition to unintended pregnancy as the dependent variable, other variables analyzed were the place of residence, age, education, husband/partner, employment, wealth, parity, pregnancy termination, the person deciding woman's access to health care, heard about family planning messages on radio, television, and newspaper/magazines. The final stage analysis uses binary logistic regression.Results: Women in urban areas were 1.834 times more likely than women in rural areas to experience an unintended pregnancy. The 20-24 age group was 0.202 times more than the 15-19, while the 45-49 was 1.916 times compared to the 15-19 to experience an unintended pregnancy. Secondary education women were 1.447 times more likely than no education women, while the poorer women were 1.190 times more likely than the poorest women to experience an unintended pregnancy. Parity was found to be a strong determinant of unintended pregnancy. History of pregnancy, decision making by husbandpartner, and heard about family planning messages on radio and television in the last few months are risk factors for unintended pregnancy.Conclusions: Eight variables affect unintended pregnancy, namely age, education, wealth, parity, pregnancy termination, the person deciding woman's access to health care, and heard about family planning messages on radio and television.