Yanuar, Ferra Assessment of health and social security agency participants proportion using hierarchical Bayesian small area estimation. Model Assisted Statistics and Applications, 16 (4). pp. 241-250. ISSN 1574-1699
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MASA Assessment of health and social security agency using HB SAE. Yanuar et al MASA 2021.pdf Download (462kB) |
Abstract
Data on the number of health insurance participants at the subdistrict level is crucial since it is strongly correlated with the availability of health service centers in the areas. This study’s primary purpose is to predict the proportion of health and social security participants of a state-owned company named Badan Penyelenggara Jaminan Sosial Kesehatan (BPJS) in eleven subdistricts in Padang, Indonesia. The direct, ordinary least square, and hierarchical Bayesian for small area estimation (HB-SAE) methods were employed in obtaining the best estimator for the BPJS participants in these small areas. This study found that the HB-SAE method resulted in better estimation than two other methods since it has the smallest standard deviation value. The auxiliary variable age (percentage of individuals more than 50 years old) and the percentage of health complaints have a significant effect on the proportion of the number of BPJS participants based on the HB-SAE method.
Item Type: | Article |
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Subjects: | A General Works > AC Collections. Series. Collected works R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine |
Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam > Matematika |
Depositing User: | Aidinil Zetra |
Date Deposited: | 24 May 2022 04:52 |
Last Modified: | 24 May 2022 04:52 |
URI: | http://repo.unand.ac.id/id/eprint/46422 |
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