Determinan kepemilikan jaminan kesehatan di provinsi kalimantan timur: analisis data ski 2023 . Analisis determinan kepemilikan Jaminan Kesehatan Nasional (JKN) di Kalimantan Timur menggunakan data SKI 2023. Temukan faktor seperti status pernikahan, pendidikan, dan pekerjaan.
National Health Insurance (JKN) is the government's commitment to protecting public health. Health insurance is a system designed to ensure access to health services for all levels of society without exception. In Indonesia, health insurance is implemented through the National Health Insurance (JKN) program managed by the Social Security Administering Agency (BPJS) Health. This program aims to provide comprehensive health protection for all citizens through a mutual cooperation system. The purpose of this study was to analyze the determinants of ownership of National Health Insurance (JKN) in East Kalimantan Province. Indonesian Health (SKI) in 2023 with a cross-sectional research design. Respondents registered for health insurance ownership in East Kalimantan province amounted to 12,418 respondents. Data were analyzed using univariate and bivariate methods. Univariate data analysis was carried out with the results in the form of a frequency table. Bivariate data analysis used the Chi Square test. Determinants of health insurance ownership were significantly influenced by marital status, education level and employment status with each variable having a p-value <0.05. The results of this study can be the basis for the development of health policies, especially national health insurance.
This study, titled "Determinants of Health Insurance Ownership in East Kalimantan Province: Analysis of SKI 2023 Data," effectively addresses a critical public health issue in Indonesia: the uptake of the National Health Insurance (JKN) program. By analyzing data from the 2023 Indonesian Health (SKI) survey with a substantial sample of 12,418 respondents from East Kalimantan, the authors set out to identify key factors influencing JKN ownership. The abstract clearly outlines the cross-sectional design and the use of univariate and bivariate (Chi-Square) analyses, leading to the identification of marital status, education level, and employment status as significant determinants. The primary strength of this research lies in its timely relevance and the use of a large, recent provincial dataset, which lends considerable statistical power to its findings. By focusing on East Kalimantan, the study provides valuable regional insights crucial for tailoring health policies effectively. The identification of specific demographic and socioeconomic factors like marital status, education, and employment as significant determinants (p-value < 0.05 for all) offers actionable information for policymakers aiming to enhance JKN coverage and achieve universal health protection. This direct link to policy development underscores the practical utility and contribution of the research. While the study provides robust associations, the cross-sectional design inherently limits the ability to infer causality, only establishing correlations between the identified determinants and JKN ownership. Furthermore, although bivariate analysis highlights significant factors, the abstract does not mention the use of multivariate analysis, which could have offered a more comprehensive understanding of the independent and interactive effects of these determinants while controlling for potential confounders. Future research could benefit from incorporating multivariate statistical models (e.g., logistic regression) to assess the relative strength and independent contribution of each determinant. Additionally, exploring qualitative insights could provide a deeper understanding of the underlying barriers and facilitators to JKN ownership among different demographic groups in East Kalimantan.
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