The determinant of health insurance ownership among pregnant women in Indonesia

Factors contributing to socio-economic inequality in utilization of caesarean section delivery among women in Indonesia: Evidence from Demographic and Health Survey

BACKGROUND

Most of the existing literature in developing countries focused on either the rising trend of CS or its determinants. There is a paucity of population-based studies on existing socioeconomic inequalities in availing CS services by women in Indonesia. This study aimed to assess the factors associated with caesarian section (CS) delivery and explore the various factors contributing to inequalities in CS delivery rates in Indonesia.

METHODS

The study utilized nationally representative cross-sectional data from the Indonesia Demographic and Health Survey (IDHS), 2017. We conducted multivariable logistic regression to find the factors associated with CS delivery. Concentration index and Wagstaff's decomposition analysis were used to examine the socioeconomic inequalities in CS delivery among women and associated factors.

RESULTS

About 17% of women in Indonesia delivered babies through CS. A concentration index of 0.31 in CS delivery rate showed a higher CS delivery rate among women belonging to rich households. About 44.7% of socioeconomic status inequality in CS delivery was explained by educational status among women who went for CS delivery. Women's place of residence explained 30.1% of socioeconomic inequality, and women's age at first birth explained about 11.9% and reporting ANC visits explained 8.4% of the observed inequality. Highest socioeconomic inequality was witnessed in central Sulawesi (0.529), followed by Maluku (0.488) and West Kalimantan (0.457), whereas the lowest was recorded in Yogyakarta (0.021) followed by north Sulawesi (0.047) and east Kalimantan (0.171). Education (44.7%) followed by rural-urban place of residence (30.1%) and age of first birth (11.9%) contributed most to explain the gap in CS delivery among rich and poor women.

CONCLUSION

The study highlighted the higher CS delivery rates among women from higher socioeconomic groups and thus, it is important to frame policies after identifying the population subgroups with potential underuse or overuse of CS method of delivery.

Optimal utilization of maternal health service in Indonesia: a cross-sectional study of Riskesdas 2018

OBJECTIVE

This paper analyses the optimal utilization of maternal health services in Indonesia from 2015 to 2018.

DESIGN

National cross-sectional study.

SETTING

This study takes place in 34 provinces in Indonesia.

PARTICIPANTS

The population in this study were mothers in all household members in Basic Health Research of Riskesdas 2018. The sample was all mothers who had a live birth within 5 years before data collection (1 January 2013 to July 2018) and had complete data. The number of samples analysed was 70 878.

PRIMARY OUTCOME

We developed a scoring for the optimal utilization of maternal health services as the outcome variable.

RESULTS

This analysis involved 70 787 mothers. The utilization of maternal care was not optimal. Mothers who delivered in health facilities achieved 83.3% of services. Better care is experienced more by mothers who live in urban areas. Mothers who delivered at health facilities significantly used threefold optimal care (ORa=3.15; 95% CI 3.00 to 3.30; p<0001). A statistically significant difference of optimal maternal care was found in mothers with better education (ORa=1.22; 95% CI 1.18 to 1.27; p=0.001); holding health insurance (ORa=1.25; 95% CI 1.21 to 1.30; p<0001), having more access to health facilities (ORa=1.13; 95% CI 1.09 to 1.17); p<0.001), less parity (ORa=1.16; 95% CI 1.11 to 1.20; p<0.001).

CONCLUSION

The optimal utilization of MHS is independent of the free services delivery, but having health insurance and less parity brought about a better optimal score for MHS. Mothers in rural areas were more protective of optimal utilization. Finally, the eastern region used more optimal health services.

High socioeconomic status is associated with stroke severity among stroke patients in the National Brain Centre Hospital, Jakarta, Indonesia

Rapid economic growth has widened the gap between the rich and the poor, contributing to inequalities in socioeconomic status (SES) in Indonesia and possibly inequalities in health care. Here, we aimed to assess the potential association between SES and stroke severity in Indonesia, one of the largest low- and middle-income countries. Patients diagnosed with stroke at National Brain Centre (NBC) Hospital, Jakarta, Indonesia, in 2020 were included in the study. SES was measured based on marital status, occupation, education level, source of payment, and hospitalized class with smoking status and sex as confounder. Stroke severity was classified based on the National Institutes of Health Stroke Scale score into minor stroke (Adams et al., 1993, Amarenco et al., 2014, Andersen and Olsen, 2018, Austin and Steyerberg, 2017) and moderate to severe stroke (>4). A total of 2,443 patients with moderate to severe stroke (58%) were analyzed. Currently employed patients had a lower adjusted OR (aOR) of 0.65 (95% confidence interval [CI], 0.51-0.83) than unemployed patients. Patients with the highest education level, at least a diploma degree, had a lower aOR of 0.67 (95% CI, 0.49-0.92) than those with an elementary or no education. Our findings showed that patients with a higher SES had a lower risk of more severe stroke than those with a lower SES. Hence, we must focus on improving SES as part of stroke management.

The choice of delivery place in Indonesia: Does home residential status matter?

Background

To care for their health needs, women in Indonesia who live with their parents or in-laws frequently lose their independence, including the choice of delivery place.

Aim

The study aimed to analyze the effect of home residential status on the choice of delivery place in Indonesia.

Methods

The study design was a cross-sectional study. The study employed secondary data from 2017 Indonesian Demographic and Health Survey (IDHS). The research included 15,357 women aged 15-49 with live births in the last five years. Meanwhile, the study used place of delivery as an outcome variable and home residential status as an exposure variable. Moreover, the research employed nine control variables: type of residence, age group, education level, employment status, marital status, parity, wealth status, health insurance, and antenatal care visits-the final analysis using binary logistic regression.

Findings

The result shows that women with home residential status in the alone category were 1.248 times more likely than those in the joint category to choose to give birth to healthcare facilities (AOR 1.248; 95% CI 1.143-1.361). In addition to home residential status, the study also found seven control variables to have a relationship with the choice of place of delivery. The seven control variables were the type of residence, age group, education level, parity, wealth status, health insurance, and antenatal care.

Conclusion

The study concluded that home residential status affects the choice of delivery place in Indonesia.

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).

The Role of Government-run Insurance in Primary Health Care Utilization: A Cross-Sectional Study in Papua Region, Indonesia, in 2018

Health development in the Papua region often lags behind other areas of Indonesia. The study aims to analyze the role of government-run insurance in primary health care utilization in the Papua region, Indonesia. The study examined 17,879 Papuan. The study used primary health care utilization as an outcome variable and health insurance ownership as an exposure variable. The study also employed nine control variables: province, residence, age, gender, marital status, education, employment, wealth, and travel time to primary health care. The research employed data using binary logistic regression in the final analysis. The results show that Papuans with government-run insurance were three times more likely to utilize primary health care than uninsured Papuans (AOR 3.081; 95% CI 3.026-3.137). Meanwhile, Papuan with private-run insurance were 0.133 times less likely to utilize primary health care than uninsured Papuans (AOR 0.133; 95% CI 0.109-0.164). Moreover, Papuans who have two types of health insurances (government-run and private-run) were 1.5 times more likely to utilize the primary health care than uninsured Papuan (AOR 1.513; 95% CI 1.393-1.644). The study concluded that government-run insurance increases the chance of primary health care utilization in the Papua region, Indonesia. Government-run insurance has the most prominent role compared to other health insurance categories.

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.

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.

The Effect of Working Mother Status on Children’s Education Attainment: Evidence from Longitudinal Data

This study builds on the debate on whether mothers‘ employment in the early life of children bring positive or negative impact to children in later life. This is based on the fact that employment often result in reduced family time in which mother may not be able to take care of their children fully. This study estimated the effects of mothers’ employment status on children’s education in the short-term and in the long-term in 24 provinces in Indonesia. This study used data on children from three waves of the Indonesia Family Life Survey (IFLS): IFLS-3 (in 2000) aged 0–7 years, IFLS-4 (in 2007) aged 7–14 years, and IFLS-5 (in 2014) aged 14–21 years. The outcome variable was the children’s education and the variable of interest was the mother’s employment status. To overcome endogeneity, the analysis of the relationship between outcome and interest variables in this study was done by using the ordinary least square estimation (OLS) method and instrumental variables (IV). This study also used a cross-sectional design which estimated IFLS-4 (in 2007) and IFLS-5 (in 2014), separately. The main finding suggests that the mother’s employment status positively influenced children’s education both in the short- and long-term, as evidenced by the ordinary least square estimation (OLS) results. The instrumental variable (IV) estimate showed that decision-making was a strong instrument; and, it further revealed that mothers’ decision-making within the family affected their opportunity to work. This research could contribute to strengthening working mothers’ self-border and the concept of work-family facilitation in a family. It could also become a reference for stakeholders involved in the policy making to regulate policies which facilitate and support working mother to create ideal working environment. This condition is expected to supports children’s development as well as creating equity for working mothers in Indonesia.

Barriers to Expanding the National Health Insurance Membership in Indonesia: Who Should the Target?

Background:

The Indonesian government initiated National Health Insurance (NHI) to reduce health service barriers. The study aimed to analyze specific targets for expanding the NHI’s membership in Indonesia.

Methods:

The study population was all populations in Indonesia. Meanwhile, the study involved a 47 644 weighted sample. The analyzed variables included NHI’s membership, residence, age, gender, education, employment, marital status, and wealth. The study employed binary logistic regression in the final step.

Results:

The urban population was 0.608 times less likely than the rural population to become a non-member of NHI. Aging younger was one of the barriers to becoming an NHI member, and the male gender is one of the barriers to becoming an NHI member. Meanwhile, the lower the education level, the greater the obstacles to becoming an NHI member in Indonesia. Besides, the unemployed population was 1.002 more likely than the employed population to become a non-member of NHI. The result shows that never married or married have a higher chance of becoming a non-member of NHI. Finally, all wealth status categories are more likely to become barriers to the most prosperous population becoming an NHI member.

Conclusions:

The study concluded that 7 population characteristics become specific targets for expanding NHI membership in Indonesia. The 7 characteristics are the population who live in rural areas, are young, male, poor education, unemployed, never married or married, and poor.

Socioeconomic Disparities in Hospital Utilization Among Female Workers in Indonesia: A Cross-Sectional Study

BACKGROUND

The study aims to analyze the relationship between socioeconomic and hospital utilization among female workers in Indonesia.

METHODS

The study analyzed secondary data from the 2018 Indonesian Basic Health Survey. The study gathered 161 186 female workers through stratification and multistage random sampling. As control factors, the study looked at age, marital status, education, occupation, and health insurance, in addition to the categories of socioeconomic and hospital utilization. The study used binary logistic regression to evaluate the data in the final step.

RESULTS

The result shows female workers with poorer wealth status are 1.142 times more likely than the most impoverished female workers to utilize the hospital (AOR 1.142; 95% CI 1.135-1.148). Female workers with median wealth status are 1.509 times more likely than the poorest female workers to take advantage of the hospital (AOR 1.509; 95% CI 1.501-1.517). Female workers with wealthier wealth status are 1.808 times more likely than the poorest female workers to use the hospital (AOR 1.808; 95% CI 1.799-1.817). The wealthiest female workers are 2.399 times more likely than the poorest female workers to utilize the hospital (2.399; 95% CI 2.387-2.411).

CONCLUSION

The study concluded a relationship between socioeconomic status and hospital utilization among female workers in Indonesia. The better the socioeconomic, the better the hospital utilization.