Indonesia Insurance Statistics – When Indonesia a universal health coating? Secondary analysis of national data on insurance coverage, healthcare expenses and access to services
The goals of analyzing the relationship between health needs, insurance coverage, health care availability, use of services, insurance requirements and out -likhund throughout Indonesia.
Indonesia Insurance Statistics
Secondary analysis of national representative quantitative data design. We combined four national data sets: National Socio -Conomic Survey 2018, National Village 2018 Census, Citizens’ Health Development Index 2018 and National Insurance Records by the end of 2017. Descriptive analysis and linear regression.
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Putting Indonesia is one of the world’s largest payers’ national health insurance schemes in the world. The data is individual and district level; All are representative in each of the 514 areas of the country.
Participants anonymized secondary data out of 1 131,825 individual items in National Socio -Economic Survey and 83,931 Village Records in the census. Summated data for 220 million insured citizens.
The primary result measures the use of healthcare and payments from pocket, for health, insurance status and access to services. Secondary result: Insurance requirements.
The results of the self -developed national health insurance registration (60.6%) are approx. 10%lower compared to the insurance company’s report (71.1%). Insurance coverage is the highest in the poorest areas where services are provided and therefore the use of services and healthcare expenses is the lowest. Use of the Inspector is greater among the insured even non -insured (OR 2.35, 95% CI from 2.27 to 2.42), control of health needs and access), and poor patients probably report free inpatient care (53% of wealth in quotilla 1 to 41% Q5). Insured patients spend $ 3.14 more for hospitalization than uninsured (95%CI 1.98 to 4.31), but the difference disappears by controlling wealth. The disadvantage of services is a significant restriction on the use of services, insurance requirements and spending on spectrum.
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Conclusions Indonesian State Insurance System protects many stationary, especially poor, from excessive expenses. However, others, especially in the eastern part of Indonesia, cannot benefit because there are few services available. In order to achieve health capital, the Indonesian government must tackle delivery limits and reduce structurally inadequate financing.
Data are available in public, storage of open access. Data control and analysis files in Stata format (.do -files) are available on Senior Authors’ Study Repository at https://doi.org/10.7910/dvn/2q37xl. While the document is reporting at regional level, we provide data on each of Indonesia 514 areas in additional tables as well as easier to download in Excel format. The authors have made them available under the CC0 license, although we, considering the work on this type of data integration, would evaluate the full offer, anyone who repeatedly uses these resources. Data control and analysis files in Stata format (.do files) are available in a senior author’s study in the depot at https://doi.org/10.7910/dvn/2q37xl. While the document is reporting at regional level, we provide data on each of Indonesia 514 areas in additional tables as well as easier to download in Excel format. The authors have made them available under the CC0 license, though we would evaluate the full offer in the light of the integration of this type of data if everyone was reused.
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Is Indonesia Achieving Universal Health Coverage? Secondary Analysis Of National Data On Insurance Coverage, Health Spending And Service Availability
(JKN). Politicians set an ambitious goal: To sign all Indonesians and thus achieve a universal health coverage (UHC) by 3rd to 3rd year 2019, even though the goal was missed, it has taken big steps, at least with regard to the participants. The scheme reports more than 220 million participants (31 July 31
, 2020), 82% of the country’s population-268 million, 4 would make JKN one of the world’s largest payers’ health insurance schemes. According to WHO’s vision of UHC 5, one of JKN’s goals was to increase fair access to healthcare without the risk of poverty across the country. However, the limited availability of healthcare means that registration of participants may not be in an effective “coating”.
Participation is mandatory with bonuses paid by employers. The country that covers bonuses for its employees, poor and almost poor 69% of all bonuses. In practice, many do not have.4 6 7 In the first 4 programs, monthly bonuses started with IDR25 500 (USD 1.80), increasing to IDR80,000 (USD 5.52) First -Class Service.8
More than 2,300 hospitals, of which 1,700 are privately accepted by JKN.9 in total, JKN is paid for primary care (outpatient and outpatient), while the hospital’s care is refunded for diagnostic codes.10-12. Since the start of the program.14 15 cumulative deficit was 51 trillion rupie (USD 3.7 billion) at the end of 2019
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In an attempt to reduce the deficit, the bonuses were roughly doubled in January 2020, but the Constitutional Court gave up that the increase in contributions had violated the right to health and was trimmed, emphasizing the politically charged landscape where health reform takes place on May 16, 2020.
Available access to high quality healthcare services across the country is a particular challenge given the unique diversity of Indonesia. More than 60% of the population lives in Java, only 6% of the land. There are several 7,000 populated islands and population density areas from 10/km
West Java.20 Income and Health Needs are the same; For example, 43% of children Eastern Nusa Tenggar are stunned compared to 9% in Jakarta Province.21
The Government’s Latest Health Sector, Published in the JKN Program for 5 Years, Has Noticed That Health Services Are Still A Significant Restriction In Many Areas.22 Studies in Indonesia and Other Countries Show That Health Care Is Inhabited In Areas With Higher Income and Less Critical Health Needs.2 23 24 24 24 24 24 24 24 24 24 24 24 24
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We combine four national representative data sources to perform this analysis. If JKN provides fair access to healthcare while protecting against poverty, we expect to have the highest level of use of services and high insurance requirements in areas with the highest health with limited differences in pocket (OOP) expenses across the country. Taking into account the delivery restrictions reported in the National Health Report, 22 we have assumed that we would find a more sophisticated relationship as shown in FIG. 1. At a common level, we expect areas with more services to report higher requirements. At the individual level, we expect insured service users to use less OOP compared to uninsured users.
In addition, district and provincial maps were used in the data from the geographical information system from Indonesia’s statistics with the administrative boundaries in 2017.
Further information about these sources and data from each comes on the online 1. File 2 shows steps to combine this different data set for analysis. All online additional materials, as well as data management and merger codes that are repeatedly used at https://doi.org/10.7910/dvn/2q37xl.
In the Public Health Index of the Ministry of Health 2018, we acquired a health need proxy. The index (0–1) includes reproductive, maternal and environmental health elements, illnesses and services access. Higher values indicate better public health. We calculate the index, except for access to services, and turned it (100 – (100 × Public Health Index) to point to District’s health needs.
Pdf) Estimasi Parameter Model Poisson Hidden Markov Pada Data Banyaknya Kedatangan Klaim Asuransi Jiwa
Susena 2018 person’s self -insurance health insurance by type: JKN (subsidized or not -inded), district policy health insurance scheme, private insurance or additional job insurance. In the analysis described here, we classified people as insured if they reported at least one type of health insurance and calculated those who report any national insurance (JKN or District Health Insurance). We calculated the insurance company reported covers by sharing the registered participants of the district residents.
In SUSEN 2018 we calculated OOP Health by summarizing household payments to official healthcare providers and expenses for medicine and medical support, such as dentures. Insurance bonuses are excluded. We calculated health care costs per Per capita and shared all household expenses for the number of household members. Expenditure per Interior of Infatient Care was calculated by dividing the stationary expenses in the previous 12 months with the number of household members reporting in the previous 12 months.
We created a proxy server for limited physical access to healthcare levels using village counting data. The heads of the village of Podes are asked if there are different healthcare services in the village and if not how easy everyone had to reach. We
