The Determinants of Four or More Antenatal Care Visits Among Working Women in Indonesia

Denny, Hanifa Maher; Laksono, Agung Dwi; Matahari, Ratu; Kurniawan, Bina

doi:10.1177/10105395211051237

Cited by 34 publications

(28 citation statements)

References 49 publications

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“…In addition, the workplace usually facilitates workers with health insurance. 4 , 33 The study results show similarities with previous studies that work influences NHI membership. 24 …”

Section: Discussionsupporting

confidence: 86%

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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“…In addition, the workplace usually facilitates workers with health insurance. 4 , 33 The study results show similarities with previous studies that work influences NHI membership. 24 …”

Section: Discussionsupporting

confidence: 86%

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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“…Women from the richest households had significantly more ANC visits than women from the poorest households. In line with this finding, studies from Bangladesh [ 29 ] and Indonesia [ 30 ] found that women from the wealthiest families were more likely to receive optimal ANC services than women from poorer families. This might be the improvement of the economy helps to advance health care utilization and able to afford medical and non-medical costs associated with ANC service during pregnancy [ 31 – 34 ].…”

Section: Discussionmentioning

confidence: 60%

Determinants of optimal antenatal care visit among pregnant women in Ethiopia: a multilevel analysis of Ethiopian mini demographic health survey 2019 data

et al. 2022

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Background Optimal antenatal care (ANC4+) needs to be used throughout pregnancy to reduce pregnancy complications and maternal mortality. The World Health Organization (WHO) recommends eight ANC contacts, while Ethiopia has the lowest coverage of at least four ANC visits. Therefore, this study aimed to identify factors associated with optimal ANC visits among pregnant women in Ethiopia. Methods This study is a secondary data analysis of the 2019 Ethiopian Mini Demographic and Health Survey (EMDHS). A multilevel logistic regression model is set up to identify factors associated with optimal ANC visits. Adjusted odds ratios (AOR) with 95% confidence intervals (CI) were calculated to estimate the strength of the association between the outcome and the predictor variables. Results Overall, 43% of women had optimal ANC visits during their last pregnancy. Higher educated women are 3.99 times more likely (AOR = 3.99; 95% CI: 2.62–6.02) to have optimal ANC visits than women with no formal education. The wealthiest women are 2.09 times more likely (AOR = 2.09; 95% CI: 1.56–2.82) to have optimal ANC visits than women in the poorest quintile. The odds of optimal ANC visit is 42 percent lower in rural women (AOR = 0.58, 95% CI: 0.41–0.83) compared to women living in urban areas. Conclusion Women's educational status, wealth status, mass media exposure, place of residence and region are factors that are significantly associated with optimal ANC visit. These findings help health care programmers and policymakers to introduce appropriate policies and programs to ensure optimal ANC coverage. Priority should be given to addressing economic and educational interventions.

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“…Similar to previous studies, it reported that someone who works has a higher odds than someone who does not work to take advantage of hospital services [ 44 , 51 ]. Work is related to income and purchasing power, and people who have jobs have sources of revenue, and the existence of payment makes it easier for someone to take advantage of the health services needed [ 52 ].…”

Section: Discussionmentioning

confidence: 99%

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

Wulandari

Laksono

Nantabah

et al. 2022

BMC Health Serv Res

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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.

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The Determinants of Four or More Antenatal Care Visits Among Working Women in Indonesia

Cited by 34 publications

References 49 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?

Determinants of optimal antenatal care visit among pregnant women in Ethiopia: a multilevel analysis of Ethiopian mini demographic health survey 2019 data

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

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