Analysis of independent National Health Insurance ownership of informal workers: Study of market traders in Gowa District, Indonesia

Rahmadani, Suci; Marhani, None; Abadi, Muh. Yusri; Marzuki, Dian Saputra; Sudirman,; Fajrin, Muhammad Al

doi:10.1016/j.enfcli.2020.06.076

Cited by 4 publications

(5 citation statements)

References 5 publications

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“…[4][5][6] Previous studies have confirmed several variables that contribute to premium compliance, that is, family members, financial difficulties, participation in other insurance, knowledge of health insurance schemes, and availability of health workers. 4,[7][8][9] The study also finds different drivers in each region. It suggests that policy designs must consider these differences, as effective in one area may not be effective in another location.…”

Section: Introductionmentioning

confidence: 90%

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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Section: Introductionmentioning

confidence: 90%

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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“…The authors were unable to confirm the temporal relationship between the exposure variable and the outcome. The study did not investigate several known factors from previous research that investigated determinants of health insurance ownership, including income, smoking behavior, and history of chronic disease [19][20][21].…”

Section: Study Limitationmentioning

confidence: 99%

“…Previous studies in Nigeria have reported that several factors could affect health insurance ownership, including marital status, education level, work type, monthly income [ 18 ]. Meanwhile, previous studies in Indonesia found that type of residence, age, wealth status, income, smoking behavior, and history of chronic disease also influenced health insurance ownership [ 19 – 21 ].…”

Section: Introductionmentioning

confidence: 99%

The determinant of health insurance ownership among pregnant women in Indonesia

2021

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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.

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“…Several other characteristics connected to health insurance ownership that have been identified in earlier studies, such as income, smoking behavior, and a history of chronic disease, were not investigated. 27 , 37 , 41 …”

Section: Discussionmentioning

confidence: 99%

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

Laksono,

Wulandari,

Efendi

et al. 2024

J Res Health Sci

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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.

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Analysis of independent National Health Insurance ownership of informal workers: Study of market traders in Gowa District, Indonesia

Cited by 4 publications

References 5 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?

The determinant of health insurance ownership among pregnant women in Indonesia

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

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