Implementation of Casemix System as Prospective Provider Payment Method in Social Health Insurance: a Case Study of Acheh Provincial Health Insurance

Released on by Prof Dr Syed Mohamed Aljunid
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  • Implementation of Casemix System as Prospective Provider Payment Method in Social Health Insurance: a Case Study of Acheh Provincial Health Insurance Book Detail

  • Author : Prof Dr Syed Mohamed Aljunid
  • Release Date : 2022-11-20
  • Publisher : Partridge Publishing Singapore
  • Genre : Business & Economics
  • Pages : 147
  • ISBN 13 : 154377198X
  • File Size : 59,59 MB
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Implementation of Casemix System as Prospective Provider Payment Method in Social Health Insurance: a Case Study of Acheh Provincial Health Insurance by Prof Dr Syed Mohamed Aljunid PDF Summary

Book Description: The Government of Aceh Province in Indonesia has established the Social Health Insurance (SHI) called Jaminan Kesehatan Aceh (JKA) in 2006 that provide health coverage to all 4.6 million population of the province. Fee-for-service was initially used as the provider payment method in the programme until 2013. In 2014, in line with the National Health Insurance of Indonesia (Jaminan Kesehatan Nasional JKN), INA-CBG (Indonesia Case-Based Group) casemix system was adopted by JKA to replace the Fee-for-Service method. This book presents outcome of the evaluation done using a combination of qualitative and quantitative methods on the implementation of JKA programme. The quantitative study was conducted to assess income of three selected hospitals (Type B, C and D) reimbursed using INA-CBG groups covering more than 17,000 cases. Quantitative data analysis revealed that overall, the hospitals received 32.4% higher income when reimbursed with casemix system (INA-CBG) as compared to fee-for-service. Type D hospital is the biggest gainer with 81.0% increase in income. In conclusion, the use of Casemix (INA-CBG) as a prospective payment method has benefitted the hospitals a lot. It is hope that additional resources gained through this programme will allow the hospitals to provide optimum care to the population.

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