CLAIM SEVERITY MODEL FOR BADAN PENYELENGGARA JAMINAN SOSIAL (BPJS) KESEHATAN

Badan Penyelenggara Jaminan Sosial (BPJS) Kesehatan is a public legal entity established by the Indonesian government to execute the Jaminan Kesehatan Nasional (JKN) program. In implementing the program, BPJS Kesehatan cooperates with the first level and the referred advanced level health facilit...

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Main Author: Binsasi, Eva
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/44377
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:44377
spelling id-itb.:443772019-10-16T10:40:09ZCLAIM SEVERITY MODEL FOR BADAN PENYELENGGARA JAMINAN SOSIAL (BPJS) KESEHATAN Binsasi, Eva Indonesia Theses Generalized Linear Model (GLM), BPJS Kesehatan, claims severity. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/44377 Badan Penyelenggara Jaminan Sosial (BPJS) Kesehatan is a public legal entity established by the Indonesian government to execute the Jaminan Kesehatan Nasional (JKN) program. In implementing the program, BPJS Kesehatan cooperates with the first level and the referred advanced level health facilities. The payment system that BPJS Kesehatan used to pay claims reported by the referred advanced level health facility (the hospital) is the Indonesia-Case Based Groups (INA-CBGs). It is assumed that there is a difference between the inpatient claims severity reported by the hospital and the claims severity paid by BPJS Kesehatan. This research aims to model the inpatient claims severity reported by a hospital and the claims severity paid by BPJS Kesehatan to the hospital using a Generalized Linear Model (GLM). In this research, the data used as a case study is inpatient claims severity data of BPJS Kesehatan participants at a type-D hospital in East Nusa Tenggara from January to December 2014. According to Kolmogorov-Smirnov and Anderson Darling tests, at 1% level of significance, it is found that each of the inpatients claims severity variables at three hospital room classes follow an Inverse Gaussian distribution. Variables which are significantly determining the inpatients claims severity reported by the hospital are: “Length of Stay (LOS)”, “INA-CBGs”, “severity level”, and “age” for Class-1 patients; “LOS”, and “INA-CBGs” for Class-2 patients; and “LOS”, “gender”, “cara pulang”, “age” and “severity level” for Class-3 patients; where the dominant variable is “LOS”. Variables which are significantly determining the inpatients claims severity paid by BPJS Kesehatan to the hospital are: “severity level”, “INA-CBGs”, “LOS” and “3rd severity level validation” for Class-1 patients; “severity level”, “INACBGs”, and “LOS”, for Class-2 patients; and “severity level”, “INA-CBGs”, and “LOS” for Class-3 patients; where the dominant variable is the “severity level”. According to the model obtained, the average claims severity paid by BPJS Kesehatan to the hospital is greater than the average claims severity reported by the hospital to BPJS Kesehatan. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Badan Penyelenggara Jaminan Sosial (BPJS) Kesehatan is a public legal entity established by the Indonesian government to execute the Jaminan Kesehatan Nasional (JKN) program. In implementing the program, BPJS Kesehatan cooperates with the first level and the referred advanced level health facilities. The payment system that BPJS Kesehatan used to pay claims reported by the referred advanced level health facility (the hospital) is the Indonesia-Case Based Groups (INA-CBGs). It is assumed that there is a difference between the inpatient claims severity reported by the hospital and the claims severity paid by BPJS Kesehatan. This research aims to model the inpatient claims severity reported by a hospital and the claims severity paid by BPJS Kesehatan to the hospital using a Generalized Linear Model (GLM). In this research, the data used as a case study is inpatient claims severity data of BPJS Kesehatan participants at a type-D hospital in East Nusa Tenggara from January to December 2014. According to Kolmogorov-Smirnov and Anderson Darling tests, at 1% level of significance, it is found that each of the inpatients claims severity variables at three hospital room classes follow an Inverse Gaussian distribution. Variables which are significantly determining the inpatients claims severity reported by the hospital are: “Length of Stay (LOS)”, “INA-CBGs”, “severity level”, and “age” for Class-1 patients; “LOS”, and “INA-CBGs” for Class-2 patients; and “LOS”, “gender”, “cara pulang”, “age” and “severity level” for Class-3 patients; where the dominant variable is “LOS”. Variables which are significantly determining the inpatients claims severity paid by BPJS Kesehatan to the hospital are: “severity level”, “INA-CBGs”, “LOS” and “3rd severity level validation” for Class-1 patients; “severity level”, “INACBGs”, and “LOS”, for Class-2 patients; and “severity level”, “INA-CBGs”, and “LOS” for Class-3 patients; where the dominant variable is the “severity level”. According to the model obtained, the average claims severity paid by BPJS Kesehatan to the hospital is greater than the average claims severity reported by the hospital to BPJS Kesehatan.
format Theses
author Binsasi, Eva
spellingShingle Binsasi, Eva
CLAIM SEVERITY MODEL FOR BADAN PENYELENGGARA JAMINAN SOSIAL (BPJS) KESEHATAN
author_facet Binsasi, Eva
author_sort Binsasi, Eva
title CLAIM SEVERITY MODEL FOR BADAN PENYELENGGARA JAMINAN SOSIAL (BPJS) KESEHATAN
title_short CLAIM SEVERITY MODEL FOR BADAN PENYELENGGARA JAMINAN SOSIAL (BPJS) KESEHATAN
title_full CLAIM SEVERITY MODEL FOR BADAN PENYELENGGARA JAMINAN SOSIAL (BPJS) KESEHATAN
title_fullStr CLAIM SEVERITY MODEL FOR BADAN PENYELENGGARA JAMINAN SOSIAL (BPJS) KESEHATAN
title_full_unstemmed CLAIM SEVERITY MODEL FOR BADAN PENYELENGGARA JAMINAN SOSIAL (BPJS) KESEHATAN
title_sort claim severity model for badan penyelenggara jaminan sosial (bpjs) kesehatan
url https://digilib.itb.ac.id/gdl/view/44377
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