Exclusive breastfeeding among Indonesian working mothers: does early initiation of breastfeeding matter?

BACKGROUND: Early initiation of breastfeeding (EIBF) is a starting point that lays the foundation for breastfeeding and bonding between mother and baby. Meanwhile, working mothers are one of the vulnerable groups for the success of exclusive breastfeeding (EBF). The study analyzed the role of EIBF on EBF among Indonesian working mothers. METHODS: The cross-sectional study examined secondary data from the 2021 Indonesian National Nutritional Status Survey. The study analyzed 4,003 respondents. We examined EBF practice as an outcome variable and EIBF as an exposure variable. We included nine control variables (residence, maternal age, marital, education, prenatal classes, wealth, infant age, sex, and birth weight). All variables were assessed by questionnaire. The study employed a binary logistic regression test in the last stage. RESULTS: The result showed that the proportion of EBF among working mothers in Indonesia in 2021 was 51.9%. Based on EIBF, Indonesian working mothers with EIBF were 2.053 times more likely than those without to perform EBF (p < 0.001; AOR 2.053; 95% CI 2.028-2.077). Moreover, the study also found control variables related to EBF in Indonesia: residence, maternal age, marital, education, prenatal classes, wealth, infant age, sex, and birth weight. CONCLUSION: The study concluded that EIBF was related to EBF. Indonesian working mothers with EIBF were two times more likely than those without to perform EBF. The government needs to release policies that strengthen the occurrence of EIBF in working mothers to increase EBF coverage.

Predictors of national health insurance membership among the poor with different education levels in Indonesia.

BACKGROUND: Indonesia has made significant progress in expanding universal health coverage (UHC) through its National Health Insurance (NHI) mechanism. However, in the context of NHI implementation in Indonesia, socioeconomic disparities caused its subpopulations to have different literacy of NHI concepts and procedures, increasing the risk of healthcare access inequities. Hence, the study aimed to analyse the predictors of NHI membership among the poor with different education levels in Indonesia. METHODS: This study used the secondary dataset of the nationwide survey "Abilities and Willingness to Pay, Fee, and Participant Satisfaction in implementing National Health Insurance in Indonesia in 2019" by The Ministry of Health of the Republic of Indonesia. The study population was the poor population in Indonesia and included a weighted sample of 18,514 poor people. The study used NHI membership as a dependent variable. Meanwhile, the study analysed seven independent variables: wealth, residence, age, gender, education, employment, and marital status. In the final step of the analysis, the study used binary logistic regression. RESULTS: The results show that the NHI membership among the poor population tends to be higher among those who have higher education, live in urban areas, are older than 17 years old, are married and are wealthier. The poor population with higher education levels is more likely to become NHI members than those with lower education. Their residence, age, gender, employment, marital status, and wealth also predicted their NHI membership. Poor people with primary education are 1.454 times more likely to be NHI members than those without education (AOR 1.454; 95% CI 1.331-1.588). Meanwhile, those with secondary education are 1.478 times more likely to be NHI members than those with no education (AOR 1.478; 95% CI 1.309-1.668). Moreover, higher education is 1.724 times more likely to result in being an NHI member than no education (AOR 1.724; 95% CI 1.356-2.192). CONCLUSION: Education level, residence, age, gender, employment, marital status, and wealth predict NHI membership among the poor population. Since significant differences exist in all of those predictors among the poor population with different education levels, our findings highlighted the importance of government investment in NHI, which must be supported with investment in the poor population's education.

Policy to expand hospital utilization in disadvantaged areas in Indonesia: who should be the target?

BACKGROUND: The disadvantaged areas are one of the government's focuses in accelerating development in Indonesia, including the health sector. The study aims to determine the target for expanding hospital utilization in disadvantaged areas in Indonesia. METHODS: The study employed the 2018 Indonesian Basic Health Survey data. This cross-sectional study analyzed 42,644 respondents. The study used nine independent variables: residence, age, gender, marital, education, employment, wealth, insurance, and travel time, in addition to hospital utilization, as a dependent variable. The study employed binary logistic regression to evaluate the data. RESULTS: The results found that average hospital utilization in disadvantaged areas in Indonesia in 2018 was 3.7%. Urban areas are 1.045 times more likely than rural areas to utilize the hospital (95% CI 1.032-1.058). The study also found age has a relationship with hospital utilization. Females are 1.656 times more likely than males to use the hospital (95% CI 1.639-1.673). Moreover, the study found marital status has a relationship with hospital utilization. The higher the education level, the higher the hospital utilization. Employed individuals have a 0.748 possibility to use the hospital compared with those unemployed (95% CI 0.740-0.757). Wealthy individuals have more chances of using the hospital than poor individuals. Individuals with all insurance types are more likely to utilize the hospital than those uninsured. Individuals with travel times of ≤ 1 h are 2.510 more likely to use the hospital than those with > 1 h (95% CI 2.483-2.537). CONCLUSION: The specific targets to accelerate the increase in hospital utilization in disadvantaged areas in Indonesia are living in a rural area, being male, never in a union, having no education, being employed, being the poorest, uninsured, and having a travel time of > 1 h. The government should make a policy addressing the problem based on the research findings.

Hospital utilization among urban poor in Indonesia in 2018: is government-run insurance effective?

BACKGROUND: An urban poor is a vulnerable group that needs government financing support to access health services. Once they are sick, they will fall deeper into poverty. The study aims to analyze the effectiveness of government-run insurance in hospital utilization in urban poor in Indonesia. METHODS: The research analyzed the 2018 Indonesian Basic Health Survey data. This cross-sectional survey collected 75,970 participants through stratification and multistage random sampling. Meanwhile, the study employed hospital utilization as an outcome variable and health insurance ownership as an exposure variable. Moreover, the study looked at age, gender, marital status, education, and occupation as control factors. The research employed a binary logistic regression to evaluate the data in the final step. RESULTS: The results show that someone with government-run insurance is 4.261 times more likely than the uninsured to utilize the hospital (95% CI 4.238-4.285). Someone with private-run insurance is 4.866 times more likely than the uninsured to use the hospital (95% CI 4.802-4.931). Moreover, someone with government-run and private-run insurance has 11.974 times more likely than the uninsured to utilize the hospital (95% CI 11.752-12.200). CONCLUSION: The study concluded that government-run insurance is more effective than the uninsured in improving hospital utilization among the urban poor in Indonesia. Meanwhile, private-run is more effective than government-run and uninsured in improving hospital utilization among the urban poor in Indonesia. Moreover, the most effective is to combine the kind of health insurance ownership (government-run and private-run).

Relationship between family support, personal communication, shared decision making, and breastfeeding in low birth weight babies.

Breastfeeding promotion is done in the form of education, not shared decision making. Consequently, breastfeeding while in hospital is still so low that problems arise after being discharged from the hospital. Researchers aimed to analyze the relationship between family support, personal communication, shared decision making, and breastfeeding in low birth weight babies. This study was a cross-sectional design conducted in three hospitals in the East Java province of Indonesia. Two-hundred mothers who have babies were selected as samples using simple random sampling. The variables were collected by a questionnaire. The data were then analyzed using path analysis. Breastfeeding showed a direct and positive relationship with shared decision making (b = 0.53; 95% CI = 0.25 to 0.81; p = <0.001). Shared decision making was directly and positively related with personal communication (b = 0.67; 95% CI = 0.56 to 0.77; p = <0.001). Personal communication showed a direct and positive relationship with family support (b = 0.40 95% CI = 0.24 to 0.57; p = <0.001). Yet, breastfeeding showed an indirect relationship with family support and personal communication. Breastfeeding increases with shared decision making and excellent personal communication between nurses and mothers. Personal communication will increase when getting support from the family.

Traditional health services utilization in rural Indonesia: does socioeconomic status matter?

INTRODUCTION: The presence of traditional health services (THS) is expected by governments to fill the lack of modern health facilities available in rural areas. Also, the proportion of poor people in rural areas has been increasing more rapidly than it has in urban areas. The present study analyzed the socioeconomic status and THS utilization in rural Indonesia. METHODS: This cross-sectional study analyzed data from the 2018 Indonesian Basic Health Survey. The study analyzed 357 556 adults (age ≥15 years), examining age, gender, marital status, education, and occupation as control factors, in addition to socioeconomic status (SES; with five divisions from 'lowest' to 'highest') and THS utilization. Binary logistic regression was used to evaluate the data. RESULTS: The results show that those with lower SES were 1.111 times more likely to utilize THS than those with the lowest SES (adjusted odds ratio (AOR) 1.111; 95% confidence interval (CI) 1.085-1.137). Those with middle SES were 1.113 times more likely than those with the lowest SES to utilize THS (AOR 1.113; 95%CI 1.086-1.140). Meanwhile, those with a higher SES are 1.166 times more likely than those with the lowest SES to use THS in rural Indonesia (AOR 1.166; 95%CI 1.139-1.194). Those with the highest SES were 1.166 times more likely than those with the lowest SES to use THS in rural Indonesia (AOR 1.166; 95%CI 1.134-1.200). CONCLUSION: The study concluded that SES status relates to THS utilization in rural Indonesia. All SES levels are more likely than those with the lowest SES to utilize the THS in rural Indonesia. The results indicate that although all SES levels can receive it, the lowest SES group rarely accesses THS.

Barriers for multiparous women to using long-term contraceptive methods in Southeast Asia: case study in Philippines and Indonesia.

BACKGROUND: Multiparous women are supposed to be able to end their reproductive cycle to decrease population growth. This study aimed to analyze barriers for multiparous women to use long-term contraceptive methods (LTCM) in the Philippines and Indonesia. METHODS: The study population was women aged 15-49 years old who have given birth to a live baby > 1 in the Philippines and Indonesia. The weighted sample size was 12,085 Philippines women and 25,543 Indonesian women. To identify variables associated with the use of LTCM, we analyzed place of residence, age group, education level, marital status, employment status, and wealth status. The final step employed multinomial logistic regression. RESULTS: In both countries, the results showed that variables associated with non-user LTCM were younger women, living in rural areas with poor education. Women without partner and unemployed had higher probability to not use LTCM. Finally, low wealth status had a higher probability than the richest multiparous to not use LTCM. CONCLUSION: The study concluded that there were six barriers for multiparous women to use LTCM in the Philippines and Indonesia. The six obstacles were living in rural areas, being younger, poor education, single, unemployed, and low wealth.

Health insurance ownership among female workers in Indonesia: does socioeconomic status matter?

BACKGROUND: Female workers are vulnerable groups in the Indonesian context, and female workers must be responsible for domestic problems and earn a living. The study aimed to analyze the role of socioeconomic on health insurance ownership among female workers in Indonesia. METHODS: The study population was all female workers in Indonesia. This cross-sectional study involved 7,943 respondents. The study analyzed health insurance ownership as an outcome variable and socioeconomic status as an exposure variable. The study also involved five control variables: residence, age, marital, education, and occupation. The research used multinomial logistic regression in the final step. RESULTS: The results show the poorest female workers have a possibility of 0.735 times more than the richest to have NHI (AOR 0.733; 95% CI 0.733-0.737). The poorer female workers have 0.939 times less likely than the richest to have NHI (AOR 0.939; 95% CI 0.937-0.942). Female workers with middle socioeconomic status are possibly 0.833 times less than the richest to have NHI (AOR 0.833; 95% 0.831-0.835). Moreover, the richer female workers have 1.028 times more likely than the richest to have NHI (AOR 1.028; 95% CI 1.025-1.030). Moreover, all socioeconomic statuses have a lower possibility than the richest of having other health insurance. CONCLUSIONS: The study concluded that socioeconomic has a role in health insurance ownership among female workers in Indonesia.

Information clarity about Covid-19 in Indonesia: does media exposure matter?

BACKGROUND: Confusion of information has also colored the course of the Covid-19 pandemic in Indonesia. The study analyzes the relationship between media exposure and information clarity about Covid-19 in Indonesia. METHODS: The study collected extensive data (n = 5,397). The study determines information clarity about Covid-19 based on respondents' admissions. There were four types of media exposure analyzed: frequency of reading a newspaper/magazine, frequency of listening to a radio, frequency of watching television, and frequency of internet use. The study carried out a binary logistic regression test in the final stage. RESULTS: The results show read a newspaper/magazine every day is 1.670 times more likely than reading a newspaper/magazine > five days a week to get precise information about Covid-19. Reading a newspaper/magazine 2-3 days a week is 1.386 times more likely than reading a newspaper/magazine > five days a week to get precise information about Covid-19. Reading a newspaper/magazine 4-5 days a week is 1.470 times more likely than reading a newspaper/magazine > five days a week to get precise information about Covid-19. Watching television 2 to 3 days a week is 1.601 times more likely than watching television > five days a week to get clear details about Covid-19. Watching television 4 to 5 days a week are 1.452 times more likely than watching television > five days a week to get precise information about Covid-19. CONCLUSION: The study concluded two types of media exposure related to information clarity about Covid-19 in Indonesia: the frequency of reading newspapers and watching television.

Hospital utilization in Indonesia in 2018: do urban-rural disparities exist?

BACKGROUND: The government must ensure equality in health services access, minimizing existing disparities between urban and rural areas. The referral system in Indonesia is conceptually sound. However, there are still problems of uneven service access, and there is an accumulation of patients in certain hospitals. The study aims to analyze the urban-rural disparities in hospital utilization in Indonesia. METHODS: The study used secondary data from the 2018 Indonesian Basic Health Survey. This cross-sectional study gathered 629,370 respondents through stratification and multistage random sampling. In addition to the kind of home and hospital utilization, the study looked at age, gender, marital status, education, occupation, wealth, and health insurance as control factors. The research employed multinomial logistic regression to evaluate the data in the final step. RESULTS: According to the findings, someone who lives in an urban region has 1.493 times higher odds of using outpatient hospital services than someone in a rural area (AOR 1.493; 95% CI 1.489-1.498). Meanwhile, someone who lives in an urban region has 1.075 times higher odds of using an inpatient facility hospital than someone who lives in a rural one (AOR 1.075; 95% CI 1.073-1.077). Furthermore, someone living in an urban region has 1.208 times higher odds than someone who lives in a rural area using outpatient and inpatient hospital services simultaneously (AOR 1.208; 95% CI 1.204-1.212). CONCLUSION: The study concluded there were urban-rural disparities in hospital utilization in Indonesia.

Urban-rural disparities of antenatal care in South East Asia: a case study in the Philippines and Indonesia.

BACKGROUND: The government is obliged to guarantee equal access to antenatal care (ANC) between urban and rural areas. This study aimed to analyze urban-rural disparities in ≥4 ANC visits during pregnancy in the Philippines and Indonesia. METHODS: The study processed data from the 2017 PDHS and the 2017 IDHS. The analysis unit was women aged 15-49 years old who had given birth in the last 5 years. The weighted sample size was 7992 respondents in the Philippines and 14,568 respondents in Indonesia. Apart from ANC as the dependent variable, other variables analyzed were residence, age, husband/partner, education, parity, and wealth. Determination of urban-rural disparities using binary logistic regression. RESULTS: The results show that women in the urban Philippines are 0.932 times more likely than women in the rural Philippines to make ≥4 ANC visits. On the other side, women in urban Indonesia are more likely 1.255 times than women in rural Indonesia to make ≥4 ANC visits. Apart from the type of residence place (urban-rural), five other tested multivariate variables also proved significant contributions to ANC's use in both countries, i.e., age, have a husband/partner, education, parity, and wealth status. CONCLUSIONS: The study concluded that disparities exist between urban and rural areas utilizing ANC in the Philippines and Indonesia. Pregnant women in the rural Philippines have a better chance of making ≥4 ANC visits. Meanwhile, pregnant women in urban Indonesia have a better chance of making ≥4 ANC visits.

The determinant of health insurance ownership among pregnant women in Indonesia.

BACKGROUND: Health insurance ownership is one indicator of the readiness of pregnant women for the delivery process. The study aimed to analyze the determinants of health insurance ownership among pregnant women in Indonesia. METHODS: The study population was pregnant women in Indonesia. The study involved 2542 pregnant women in Indonesia. The variables analyzed included type of place of residence, age group, education level, employment status, marital status, parity, wealth status, and know the danger signs of pregnancy. In the final step, the study employed binary logistic regression to explain the relationship between health insurance ownership and predictor variables. RESULTS: The results show that pregnant women with higher education were 3.349 times more likely than no education pregnant women to have health insurance. Pregnant women with wealth status in the middle category were 0.679 times the poorest pregnant women to have health insurance. Meanwhile, the richest pregnant women had 1.358 times more chances than the poorest pregnant women to have health insurance. Grande multiparous pregnant women were 1.544 times more likely than primiparous pregnant women to have health insurance. Pregnant women who know the danger signs of pregnancy were 1.416 times more likely than pregnant women who don't see the danger signs of pregnancy to have health insurance. CONCLUSIONS: The study concluded that four variables, including education level, wealth status, parity, and knowledge of the danger signs of pregnancy, were significant determinants of health insurance ownership in Indonesia.

The effects of mother's education on achieving exclusive breastfeeding in Indonesia.

BACKGROUND: Even though the Indonesian government have set regulations for maintaining exclusive breastfeeding practices, the coverage remains low. The study aims to analyze the effects of mother's education level on the coverage of exclusive breastfeeding in Indonesia. METHODS: This study used data from the 2017 Nutrition Status Monitoring Survey. It covered data of 53,528 children under 5 years old (7-59 months) as the samples. Variables included exclusive breastfeeding status, mother's education level, mother's age, marital status, employment status, gender, residence, under five's age and gender. A binary logistics regression was performed in the final test. RESULTS: Mothers who graduated from elementary school were 1.167 times more likely to perform exclusive breastfeeding compared to mothers who never attended schools. Additionally, those who graduated from junior high school had 1.203 times possibilities to give exclusive breastfeeding compared to mothers without educational records. While, mothers who graduated from high school were 1.177 times more likely to perform exclusive breastfeeding compared to those without educational records. Mothers who graduated from tertiary education had 1.203 times more possibilities to perform exclusive breastfeeding compared to mothers who were never enrolled to schools. Other variables also became affecting predictors on exclusive breastfeeding, such as mother's age, mother's employment status, child's age, and residence. CONCLUSIONS: The mother's education level positively affects exclusive breastfeeding practice in Indonesia.

Sub-national disparities in accessing anti-malarial drug treatment in eastern Indonesia.

BACKGROUND: Poor access to health care providers was among the contributing factors to less prompt and ineffective malaria treatment. This limitation could cause severe diseases in remote areas. This study examined the sub-national disparities and predictors in accessing anti-malarial drug treatment among adults in Eastern Indonesia. METHODS: The study analyzed a subset of the 2018 National Basic Health Survey conducted in all 34 provinces in Indonesia. We extracted socio-demographic data of 4655 adult respondents diagnosed with malaria in the past 12 months in five provinces in Eastern Indonesia. The association between socio-demographic factors and the access to anti-malarial drug treatment was assessed using logistic regression. RESULTS: Over 20% of respondents diagnosed with malaria within last 12 months admitted that they did not receive anti-malarial drug treatment (range 12-29.9%). The proportion of untreated cases was 12.0% in East Nusa Tenggara, 29.9% in Maluku, 23.1% in North Maluku, 12.7% in West Papua, and 15.6% in Papua. The likelihood of receiving anti-malarial drug treatment was statistically lower in Maluku (adjusted OR = 0.258; 95% CI 0.161-0.143) and North Maluku (adjusted OR = 0.473; 95% CI 0.266-0.840) than those in Eastern Nusa Tenggara (reference). Urban respondents were less likely to receive malaria treatment than rural (adjusted OR = 0.545; 95% CI 0.431-0.689). CONCLUSIONS: This study found that there were sub-national disparities in accessing anti-malarial drug treatment in Eastern Indonesia, with a high proportion of untreated malaria cases across the areas. Findings from this study could be used as baseline information to improve access to anti-malarial drug treatment and better target malaria intervention in Eastern Indonesia.

The disparities in health insurance ownership of hospital-based birth deliveries in eastern Indonesia.

BACKGROUND: Development in Eastern Indonesia tends to be left behind compared to other Indonesian regions, including development in the health sector. The study aimed at analyzing the health insurance ownership disparities in hospital delivery in Eastern Indonesia. METHODS: The study draws on secondary data from the 2017 Indonesia Demographic and Health Survey. The study population was women aged 15-49 years who had given birth in the last five years in Eastern Indonesia. The study analyzes a weighted sample size of 2299 respondents. The study employed hospital-based birth delivery as a dependent variable. Apart from health insurance ownership, other variables analyzed as independent variables are province, residence type, age group, marital status, education level, employment status, parity, and wealth status. The final stage analysis used binary logistic regression. RESULTS: The results showed that insured women were 1.426 times more likely than uninsured women to undergo hospital delivery (AOR 1.426; 95% CI 1.426-1.427). This analysis indicates that having health insurance is a protective factor for women in Eastern Indonesia for hospital delivery. There is still a disparity between insured and uninsured women in hospital-based birth deliveries in eastern Indonesia. Insured women are nearly one and a half times more likely than uninsured women to give birth in a hospital. CONCLUSION: The study concludes that there are health insurance ownership disparities for hospital delivery in eastern Indonesia. Insured women have a better chance than uninsured women for hospital delivery.

A Higher Maternal Education Level Could Be a Critical Factor in the Exceeded Cesarean Section Delivery in Indonesia.

Background: Cesarean section (CS) could be life-saving with medically indicated, but without it, both women and children could be at risk. The maximum rate for CS is 15%, but it tends to exceed globally. Objective: We aimed to analyze the education level's role in the delivery of CS in Indonesia. Methods: We used the 2017 Indonesia Demographic and Health Survey data. The study sampled 15,357 women who delivered in five last years. Besides delivery mode and education level, the study also used nine control variables: residence, age, marital, employment, parity, wealth, insurance, antenatal care, and birth type. The study employed a binary logistics regression. Results: The results show women with secondary education (16.5% CS) are 2.174 times (AOR 2.174; 95% CI 1.095-4.316), and higher education (33% CS) are 3.241 (AOR 3.241; 95% CI 1.624-6.469) times more likely to deliver by CS than no-school education (4.4% CS). There was no significant difference between primary (9.1%) and no-education women. Apart from education, primiparous women, age 34-34 yr, attending antenatal care ≥4 times, non-poorest, having insurance, living in the city, and being unemployed also related to higher risk of CS. Conclusion: Exceeded CS in Indonesia occurs mostly in higher education women. Higher education women were more likely to access more information and technology, therefore health promotion on healthy normal birth on social media or m-Health (mobile device-based health promotion) and involving health authorities at every level were suitable to reduce the overuse of the CS.

Barriers to Modern Contraceptive Use by Female Workers in Indonesia's Urban Areas.

Background: Female workers in Indonesia are vulnerable, because they must work to earn a living while still being responsible for domestic problems. This study analyzes the barriers to the use of modern contraceptives by female workers in Indonesia's urban areas. Methods: This cross-sectional survey looked at 21,696 female workers. We used modern contraceptive use as a dependent variable, and age, education, wealth, known modern contraceptives, number of live births, ideal number of children, and insurance ownership as independent variables. In the final test, we employed binary logistic regression. Results: The results showed that women at all age categories were more likely than those aged 15-19 years not to use modern contraceptives, except those aged 35-39 years, who showed no difference. All other marital types were more likely to use modern contraceptives than married individuals. Rich female workers were 1.139 times more likely than poor workers not to use modern contraceptives (adjusted odds ratio [AOR], 1.139; 95% confidence interval [CI], 1.026-1.264). Female workers who did not know about modern contraceptives were 4.549 times more likely than those who did not to use modern contraceptives (AOR, 4.549; 95% CI, 1.037-19.953). Female workers with more than two children were 9.996 times more likely than those with two or fewer children not to use modern contraceptives (AOR, 9.996; 95% CI, 9.1890-10.875). Conclusion: This study identified five factors associated with the non-use of modern contraceptives by female workers in Indonesia's urban areas: young, unmarried, rich, did not know about modern contraceptives, and had more than two children.

Factors related to stunting in children under 2 years old in the Papua, Indonesia: Does the type of residence matter?

OBJECTIVES: To analyze factors related to stunting in Papua region. METHODS: Secondary data from the 2021 Indonesian National Nutrition Status Survey were used in this study. Samples of 2,937 Papuan children under the age of two were gathered for the study. This study analyzed independent variables (type of residence, mother's age, marriage, mother's education, employment, wealth, child's age, gender, and early breastfeeding initiation (EBFI) with stunting. The relationship was analyzed using logistic regression tests. RESULTS: Stunting is more common among children in Papua's rural areas than in urban (AOR 1.168, 95% CI, 1.128-1.209). Stunting is more common in children who mother do not work than in mothers who do (AOR 1.174, 95% CI, 1.142- 1.207). Stunting is more common in children aged 12-23 months compared to children <12 months (AOR 3.381, 95% CI, 3.291-3.474). Compared to girls, boys are more likely to become stunted (AOR 1.348, 95% CI, 1,314-1,383). Children under the age of two who do not experience EBFI are at higher risk than those who have (AOR 1.078, 95% CI, 1.050-1.106). CONCLUSION: There are eight variables associated with stunting, namely residence, age of mother, mother's education, mother's occupation, economic status, child's age, gender, and EBFI. Prioritization of stunting interventions in Papua should be targeted at mothers who living in rural, having low education, and not doing early breastfeeding initiation.

Role of Socioeconomic Status in National Health Insurance Ownership in Indonesia's Rural Areas.

BACKGROUND: National Health Insurance (NHI) is one of the Indonesian Government's policies to increase public access to health services. The study analyzed the role of socioeconomic status in NHI ownership in rural Indonesia. Study Design: A cross-sectional study. METHODS: The study population included residents of rural Indonesia. The study examined secondary data from the survey entitled "Abilities and Willingness to Pay, Fee, and Participant Satisfaction in Implementing National Health Insurance in Indonesia in 2019", involving 33225 respondents representing Indonesia's rural areas. The study was conducted from March to December 2019. The variables analyzed included NHI, socioeconomic level, age group, gender, education level, employment status, and marital status. In the final step, the study employed binary logistic regression to explain the relationship between socioeconomic status and NHI ownership. RESULTS: The results show that 63.8% of the population in rural Indonesia participated in the NHI. The poorer residents were 1.235 times more likely to have NHI than the most impoverished population (AOR 1.235; 95% CI 1.234-1.237). People with middle wealth status were 1.086 times more likely to have NHI than the poorest (AOR 1.086; 95% CI 1.085-1.087). The richer residents were 1.134 times more likely to have NHI than the poorest (AOR 1.134; 95% CI 1.133-1.136). The richest residents were 1.078 times more likely to have NHI than the poorest residents (AOR 1.078; 95% CI 1.077-1.079). CONCLUSION: The study concluded that socioeconomic status is related to NHI ownership in rural Indonesia. The analysis indicated that all socioeconomic categories were more likely to become NHI participants than the poorest in Indonesia.

Factors related to intrapartum/delivery care in Southeast Asia: A cross-sectional study in the Philippines and Indonesia.

Background: Policy encouraging healthcare intrapartum/delivery care is critical to accelerating the decline in maternal mortality. The study analyzes intrapartum/delivery care factors in Indonesia and the Philippines. Methods: The investigation included 15,346 Indonesian and 7992 Filipino women (ages 15 to 49 who delivered during the previous five years). Aside from the location of intrapartum/delivery care as a dependent variable, additional factors investigated included domicile, marital status, age, occupation, education, parity, wealth, and ANC-the conclusion of the study utilizing binary logistic regression. Results: Women in both countries predominantly do healthcare intrapartum/delivery care. Both countries' urban women are more likely to receive intrapartum/delivery care than rural women. The higher the amount of schooling, the greater the likelihood of receiving intrapartum/delivery care. The lower the parity, the higher the chance to do healthcare intrapartum/delivery care. The higher the wealth position, the greater the likelihood of receiving intrapartum/delivery care. Furthermore, women in both nations who had four or more antenatal visits were more likely to receive intrapartum/delivery care. Conclusion: The study concluded five factors related to healthcare intrapartum/delivery care in the Philippines: residence, education, parity, wealth, and ANC. Meanwhile, there are six factors related to healthcare intrapartum/delivery care in Indonesia: place, age, education, parity, wealth, and ANC.