Article Sidebar

Submitted
Sep 3, 2019
Published
Apr 28, 2020
Download
vol 6 no 1
Statistic
Read Counter : 1046 Download : 1567

Downloads

Download data is not yet available.

Main Article Content

Abstract

This study aims to determine differences in real cost and INA CBG's rate and to find out the factors that influence the difference between the real cost and INA CBG's rate in patient with breast cancer in JKN Era at Sultan Agung  Islamic Hospital between January 2017 and October 2017. This type of research is a non-experimental (observational) study, data taken retrospectively from hospital financial data and medical records of patients. Data analysis using Mann-Whitney is used to determine the suitability of real costs with INA CBG rates. and the Kruskal-Wallis test is used to find out what factors affect real costs. There was difference between the real cost and the INA CBG's rate for class 1 of Rp (-9,861,600), class 2 of Rp (30,643,000), and class 3 of Rp (146,724,100). The factors that influence the real costs were nursing class (p = 0.014) and Length of stay (p = 0.000). The conclusion of this study is that there is a difference between the real cost in patient with breast cancer in JKN Era at Sultan Agung  Islamic Hospital between January 2017 and October 2017.

Keywords

real cost INA CBG’s rate breast cancer JKN

Article Details

References

  1. Aisyah, N., Andayani, T. M., Puspandari, D. A., & Mada, G. (2018). Analisis Biaya Kemoterapi Pada Pasien Rawat Inap Kanker Payudara Peserta JKN Di RSUD ULIN Banjarmasin. Akademi Farmasi ISFI Banjarmasin, 3(3), 43–56.
  2. Ambarriani, A. S. (2014). Hospital Financial Performance in The Indonesian National Health Insurance. Review of Integrative Business and Economics Research, 4(1), 121–133.
  3. BPJS, K. (2014). Peraturan Badan Penyelenggara Jaminan Sosial Kesehatan Nomor 1 Tahun 2014 Tentang Penyelenggaraan Jaminan Kesehatan. BPJS kesehatan.
  4. Chang, L., & Lan, W. L. (2010). Has the National Health Insurance Scheme improved hospital efficiency in Taiwan? Identifying factors that affects its efficiency. African Journal of Business Management, 4(17), 3752–3760.
  5. Chyntia, Z., E. (2009). Akhirnya Aku Sembuh Dari Kanker Payudara. Jakarta: Maksimus.
  6. Cooper, Z., Z., & Craig, S. (2015). The Price Ain’t Right? Hospital Prices and Health Spending on The Privately Insured. Seminar of Bureau Economic.
  7. Faida, E. W. (2016). Analisa Pengaruh Faktor Usia, Status Pernikahan Dan Riwayat Keluarga Terhadap Pasien Kanker Payudara Di Rumah Sakit Onkologi Surabaya. Jurnal Manajemen Kesehatan Yayasan RS.Dr. Soetomo, 2(1), 1-7–7.
  8. Hadiningsih, H. (2018). The Analysis of drug cost in some diseases of outpatients and the influenced factors in Awal Bros Bekasi Hospital in 2014. Indonesian Hospital Administration Journal, 2(1). http://jurnalkesmas.ui.ac.id/
  9. Kementrian Kesehatan, R. (2013). Peraturan Menteri Kesehatan Republik Indonesia Nomor 69 tahun 2013 tentang Standar Tarif Pelayanan Tingkat Pertama dan Fasilitas Tingkat Lanjut Dalam Penyelenggaraan Program Jaminan Kesehatan. Kementrian Kesehatan Indonesia.
  10. Muslimah, M., Andayani, T. M., Pinzon, R., & Endarti, D. (2017). Comparison of Real Costs against the Price of INA-CBG’s Ischemic Stroke in Bethesda Hospital. JURNAL MANAJJournal of Management and Pharmacy Practice, 7(2), 105–118.
  11. Nurmala, I., Rahman, F., & Nugroho, A. (2018). Promosi Kesehatan (2nd ed., Vol. 2). Air langga pres.
  12. Puspandari, D. A., Mukti, A. G., & Kusnanto, H. (2015). A Drug Cost Estimation Model and its Determinant Factors for Breast Cancer Patient Hospitalized in Indonesia. Social Science Research Network.
  13. Putra, P., Indar, & Jafar, N. (2014). Ability to pay and catastrophic payment pada peserta pembayar mandiri BPJS Kesehatan. Jurnal Kesehatan. Makasar.
  14. Rick, Ri., Bertaut, T., & louise, B. (2015). Breast Cancer Facts and Figures 2015-2016 (3rd ed., Vol. 3). American Cancer Society.
  15. Sadikin, H., & Adisasmito, W. (2016). Analisis Pengaruh Dimensi Fraud Triangle Dalam Kebijakan Pencegahan Fraud Terhadap Program Jaminan Kesehatan Nasional di RSUP Nasional Cipto Mangunkusumo. Jurnal Ekonomi Kesehatan Indonesia, 1(2).
  16. Sari, R. P. (2014). Perbandingan Biaya Riil Dengan Tarif Paket Ina-Cbg S Dan Analisis Faktor Yang Mempengaruhi Biaya Riil Pada Pasien Diabetes Melitus—Pdf. Jurnal Spread, 4(1).
  17. Sihombing, M., & Sapardin, N. A. (2014). Faktor Risiko Tumor Payudara Pada Perempuan Umur 25-65 Tahun Di Lima Kelurahan Kecamatan Bogor Tengah.
  18. Sulistyaningrum, I. H., Mukti, A. G., & Kristina, S. A. (2020). Drug Cost Analysis Under Capitation Payment System In daerah Istimewa Yogyakarta Province, Indonesia. International Medical Journal, 8(4), 25.
  19. Sundra. (2010). Statistik Rumah Sakit (2nd ed., Vol. 2).
  20. Thabrany, H. (2014). Jaminan Kesehatan Nasional. Raja Grafindo Persada.
  21. WHO | Health systems financing: The path to universal coverage. (2011). WHO. Geneva, Switzerland
  22. Wirastuti, K., Sulistyaningrum, I. H., Cahyono, E. B., Santoso, A., & Miftahudin, Z. (2019). Perbandingan biaya riil dengan tarif INA-CBG’S penyakit stroke pada era jaminan kesehatan nasional di RS Islam Sultan Agung. Jurnal Ilmiah Ibnu Sina, 4(1), 117–126.
  23. Yuniarti, Amalia, & Handayani. (2015). Analisis biaya terapi penyakit diabetes melitus pasien jkn di rs pku muhammadiyahyogyakartaperbandingan terhadap tarif INACBGS. Jurnal Kebijakan Kesehatan Indonesia, 4(3), 43–56.