Predictors of childbirth services in Indonesia

Putri, Nuzulul Kusuma; Laksono, Agung Dwi

doi:10.11591/ijphs.v11i2.21324

Cited by 10 publications

(8 citation statements)

References 17 publications

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“…This situation is also indicated in people’s access to health services. 2 , 15 , 40 The study results confirm that wealth status is associated with NHI membership. 7 , 23 , 35 …”

Section: Discussionsupporting

confidence: 70%

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

Laksono

Nantabah

Wulandari

et al. 2022

J Prim Care Community Health

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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.

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“…This situation is also indicated in people’s access to health services. 2 , 15 , 40 The study results confirm that wealth status is associated with NHI membership. 7 , 23 , 35 …”

Section: Discussionsupporting

confidence: 70%

“…This situation is also indicated in people's access to health services. 2,15,40 The study results confirm that wealth status is associated with NHI membership. 7,23,35 The Indonesian government needs to develop policies targeting rural area residents to expand NHI membership.…”

Section: Discussionsupporting

confidence: 70%

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

Laksono

Nantabah

Wulandari

et al. 2022

J Prim Care Community Health

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“…43 44 Moreover, previous studies have found that education is a strong determinant of various performances in the health sector. [45][46][47] Working people have a better chance of using the hospital than non-working ones. In addition, the richer the person, the higher the probability of him/her using the hospital.…”

Section: Discussionmentioning

confidence: 99%

Regional disparities in hospital utilisation in Indonesia: a cross-sectional analysis data from the 2018 Indonesian Basic Health Survey

Laksono¹,

Wulandari

Rohmah

et al. 2023

BMJ Open

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ObjectivesPolicymakers must ensure that the entire population has equal access to health services, and efforts to minimise inequalities are needed. This study aimed to analyse the regional disparities in hospital utilisation in Indonesia.DesignA cross-sectional study analysing secondary data from the 2018 Indonesian Basic Health Survey.SettingNational-level survey data from Indonesia.ParticipantsA total of 629 370 participants were included in the study.InterventionWe employed no interventionPrimary and secondary outcome measuresThe primary outcome was hospital utilisation. Aside from region, we utilise residence type, age, gender, marital status, educational level, occupation, wealth, insurance and travel time as control variables. We used binary logistic regression in the final analysisResultsThe respondents in Sumatra were 1.079 times (95% CI 1.073 to 1.085) more likely than those in Papua to use the hospital. Furthermore, compared with the respondents in Papua, those in the Java–Bali region (1.075 times, 95% CI 1.069 to 1.081), Nusa Tenggara (1.106 times, 95% CI 1.099 to 1.113), Sulawesi (1.008 times, 95% CI 1.002 to 1.014) and Kalimantan (1.212 times, 95% CI 1.205 to 1.219) were more likely to use the hospital. However, those in Maluku were less likely than those in Papua to use the hospital (0.827 times, 95% CI 0.820 to 0.835). Six demographic variables (age, gender, marital status, educational level, occupation and wealth) and three other control variables (residence type, insurance and travel time to the hospital) were found to be associated with hospital utilisation.ConclusionsOur findings highlight the existence of regional disparities in hospital utilisation in Indonesia.

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“…A previous study in an underdeveloped area in India revealed that hospital utilization in females and the married population is closely related to ante- and perinatal care utilization [ 41 ]. Several countries and regions, including Indonesia [ 42 , 43 ], sub-Saharan Africa [ 44 ], and India [ 41 ], showed increased participation of females in ante- and perinatal care. In the context of health service equality, there remains a demographic disparity in the disadvantaged area regarding maternal care utility coverage in Indonesia.…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2023

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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.

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Predictors of childbirth services in Indonesia

Cited by 10 publications

References 17 publications

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

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

Regional disparities in hospital utilisation in Indonesia: a cross-sectional analysis data from the 2018 Indonesian Basic Health Survey

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

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