FAKTOR-FAKTOR YANG MEMPENGARUHI BIAYA RIIL PASIEN KEMOTERAPI KANKER PAYUDARA PESERTA JKN DI RSUD ULIN BANJARMASIN

  • Noor Aisyah Akademi Farmasi ISFI Banjarmasin
  • Saftia Aryzki
  • Amaliyah Wahyuni
  • Tri M Andayani
  • Diah A Puspandari

Abstract

Data from IARC in 2012 as many as 1.7 million women were diagnosed with breast cancer. Breast cancer is catastrophic, high-cost and life-threatening complications. The claim data for INA-CBGs for cancer is one of the diseases that absorbs the biggest costs. The factors that influence the real costs of breast cancer patients are length of stay, severity, class of care and age. The aim of the study was to determine the factors that affect the real costs of breast cancer chemotherapy patients hospitalized JKN participants in Ulin Banjarmasin Hospital.


The study is a pharmacoeconomic analysis study with a hospital perspective on direct medical costs, data taken retrospectively. The study sample was a hospital financial file and a medical record of breast cancer patients at JKN participants for the period of January-October 2017 in Ulin Banjarmasin Hospital with 259 episodes of treatment. To find out the factors that influence the real costs using multivariate linear regression correlation analysis.


The results showed that the factors that influence the real costs of chemotherapy patients in breast cancer hospitalized JKN participants in RSUD Ulin Banjarmasin were severity (p = 0,000) and treatment class (p = 0,000). The total cost of medicine from 259 episodes of care is Rp. 669,577,809, average real costs with chemotherapy treatment episodes at severity level I amounted to Rp.4,502,210, II severity level Rp.8,239,624 and III severity level Rp.7,403,713.

References

Aisyah, N. Andayani, T.M. Puspandari, D.A. (2018). Analisis biaya kemoterapi pada pasien rawat inap kanker payudara peserta jkn di rsud ulin Banjarmasin.http://jiis.akfar-isfibjm.ac.id/index.php?journal
American Cancer Society (2015). Breast Cancer Facts and Figures 2015 - 2016. American Cancer Society, Atlanta. https://www.cancer.org/research/cancer-facts-statistics/all-cancer-facts-figures/cancer-facts-figures-2015.html
Budiarto, W. dan Sugiharto, M (2013). Biaya Klaim Ina Cbgs dan Biaya Riil Penyakit Katastropik Rawat Inap Peserta Jamkesmas di Rumah Sakit Studi di 10 Rumah Sakit Milik Kementerian Kesehatan Januari–maret 2012. Buletin Penelitian Sistem Kesehatan, 16. http://ejournal.litbang.depkes.go.id/index.php/hsr/article/view/3146
Globocan (2013). Latest world cancer statistics Global cancer burden rises to 14.1 million new cases in 2012: Marked increase in breastcancers must be addressed. International Agency for Research on Cancer.https://www.iarc.fr/wp-content/uploads/2018/07/pr223_E.pdf
Harianto, Andayani, T.M., dan Herowati, R (2015). 'Komparasi Biaya Riil Dengan Tarif INA CBGs dan Analisis Faktor yang Mempengaruhi Biaya Riil Kemoterapi Pada Pasien Kanker Payudara Rawat Inap Jamkesmas di RSUP Dr Sardjito Yogyakarta', , dalam: Prosiding Seminar Fakultas Farmasi Universitas Setia Budi. Dipresentasikan pada Seminar Farmasi, Surakarta.
Kemenkes RI (2014). Peratura Menteri Kesehatan Republik Indonesia Nomor 59 Tahun 2014. Kementerian Kesehatan RI, Jakarta.
Kemenkes RI (2016). Peraturan Menteri Kesehatan Republik Indonesia Nomor 76 Tahun 2016 Tentang Pedoman Indonesian Case Base Groups (INA-CBG) Dalam Pelaksanaan Jaminan Kesehatan Nasional. Kementerian Kesehatan RI, Jakarta.
Kemenkes RI (2017). Pedoman Nasional Pelayanan Kedokteran Kanker Payudara.Pdf. Kementerian Kesehatan RI, Jakarta.
Kemenkes RI (2018). Laporan Nasional Riskesdas, Kementerian Kesehatan RI, badan Penelitian dan Pengembangan Kesehatan, Jakarta
Puspandari, D.A., Mukti, A.G., dan Kusnanto, H., 2015. Faktor-Faktor yang Mempengaruhi Biaya Obat Pasien Kanker Payudara di Rumah Sakit di Indonesia . Jurnal Kebijakan Kesehatan Indonesia, 04: 104–108. https://journal.ugm.ac.id/jkki/article/view/36110
Simon, Albert dan Manuaba, T.W (2016). Pengaruh Grading dan Lymphovaskuler Invasion Terhadap Metastasis Kelenjar Getah Bening Axilla Pada Kanker Payudara. E-jurnal Medika, 5 No 6. https://ojs.unud.ac.id/index.php/eum/article/download/21107/13883
Vaughan, W.J., Russell, C.S., and Darling, A.H. 2000, Determining the optimal sample size for contingent valuation surveys. Tennessee : Departement of Economics, Vanderbilt University.
Published
2019-03-31
How to Cite
AISYAH, Noor et al. FAKTOR-FAKTOR YANG MEMPENGARUHI BIAYA RIIL PASIEN KEMOTERAPI KANKER PAYUDARA PESERTA JKN DI RSUD ULIN BANJARMASIN. JCPS (Journal of Current Pharmaceutical Sciences), [S.l.], v. 2, n. 2, p. 154-159, mar. 2019. ISSN 2598-2095. Available at: <http://journal.umbjm.ac.id/index.php/jcps/article/view/298>. Date accessed: 15 nov. 2019.
Section
Articles