The Relationship Between mSOFA and the Ratio of Treatment Costs to BPJS Coverage in Medical Cases in the ICU at Dr. Cipto Mangunkusumo National General Hospital: A Cost Analysis Study
DOI:
https://doi.org/10.59141/-.v8i2.528Keywords:
mSOFA score, ICU cost proportion, INA-CBGsAbstract
In the prospective payment system based on INA-CBGs, understanding the relationship between patient clinical complexity and the proportion of intensive care unit (ICU) costs relative to the INA-CBGs tariff is essential for evaluating service efficiency and equity in health financing allocation. However, few empirical studies in Indonesia have examined how factors such as the mSOFA score, mechanical ventilation use, hemodialysis, and length of ICU stay relate to ICU cost proportions. This prospective cohort study was conducted at Dr. Cipto Mangunkusumo National General Hospital from 1 January to 31 March 2026, involving 46 adult patients admitted to the medical ICU with complete INA-CBGs claims. Data were extracted from electronic medical records and the hospital’s financial information system, including daily mSOFA scores, mechanical ventilation status, hemodialysis administration, ICU length of stay, actual ICU costs, and corresponding INA-CBGs tariffs. The analysis showed that no increase in ICU cost proportion was observed with higher mSOFA scores or longer ICU stays. In contrast, variability in cost proportion decreased among patients with mSOFA ≥6 and ICU stays longer than four days, suggesting that in critically ill patients with high disease severity, ICU costs become relatively more predictable compared with INA-CBGs tariffs. ICU cost proportion is not determined linearly by a single intervention but instead results from a complex interplay among disease severity, accuracy of diagnosis and procedure coding, and daily clinical dynamics during ICU admission.
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Aggrawal, K., Verma, S., Stoltzfus, M. T., Singh, B., Anamika, F. N. U., & Jain, R. (2024). Tools for screening, predicting, and evaluating sepsis and septic shock: A comprehensive review. Cureus, 16(8).
Bruyneel, A., Larcin, L., Martins, D., Van Den Bulcke, J., Leclercq, P., & Pirson, M. (2023). Cost comparisons and factors related to cost per stay in intensive care units in Belgium. BMC Health Services Research, 23(1). https://doi.org/10.1186/s12913-023-09926-2
Bulger, E. M., May, A., Bernard, A., Cohn, S., Evans, D. C., Henry, S., Quick, J., Kobayashi, L., Foster, K., & Duane, T. M. (2015). Impact and progression of organ dysfunction in patients with necrotizing soft tissue infections: A multicenter study. Surgical Infections, 16(6), 694–701.
Chalfin, D. B., Cohen, I. L., & Lambrinos, J. (1995). The economics and cost-effectiveness of critical care medicine. Intensive Care Medicine, 21(11), 952–961. https://doi.org/10.1007/BF01712339
Deng, W., Zhang, X., Liu, X., Wang, Q., Liu, C., Luo, S., Li, Q., Ji, Y., Lu, W., & Hong, Q. (2025). Braden score for early mortality risk assessment in critically ill intensive care patients with multiple organ dysfunction syndrome. Scientific Reports.
Ghasemian-Nik, H., & Ghorbani, R. (2018). Development of a reverse triage system based on modified sequential organ failure assessment for increasing the critical care surge capacity. Indian Journal of Critical Care Medicine, 22(8), 575–579. https://doi.org/10.4103/ijccm.IJCCM_47_18
Halim, I. J., & Manggala, S. K. (2024). The economic burden on private hospitals in treating ICU vs non-ICU patients: Investigating the financial gap between Indonesian case base groups (INA-CBG) rates and hospital billing. Proceedings Book of International Conference and Exhibition on the Indonesian Medical Education Research Institute, 8, 1–9.
Happy, A. (2018). The implementation of INA-CBGs system impact on financial performance of public hospital: The Indonesia case: A systematic review. KnE Life Sciences, 1–16.
Hong, G., Ju, H., Oh, D. K., Lee, S. Y., Park, M. H., Lee, H., Lim, C.-M., Lee, S. I., & Korean Sepsis Alliance Investigators. (2025). Clinical characteristics and prognostic factors of sepsis in patients with malignancy. Scientific Reports, 15(1), 7078.
Kaier, K., Heister, T., Wolff, J., & Wolkewitz, M. (2020). Mechanical ventilation and the daily cost of ICU care. BMC Health Services Research, 20(1). https://doi.org/10.1186/s12913-020-05133-5
Moerer, O., Plock, E., Mgbor, U., Schmid, A., Schneider, H., Wischnewsky, M. B., et al. (2007). A German national prevalence study on the cost of intensive care: An evaluation from 51 intensive care units. Critical Care, 11(3). https://doi.org/10.1186/cc5952
Ohbe, H., Sasabuchi, Y., Doi, K., Matsui, H., & Yasunaga, H. (2023). Association between levels of intensive care and in-hospital mortality in patients hospitalized for sepsis stratified by sequential organ failure assessment scores. Critical Care Medicine, 51(9), 1138–1147.
Rahayuningrum, I. O., Tamtomo, D., & Suryono, A. (2016). Comparison between hospital inpatient cost and INA-CBGs tariff of inpatient care in the national health insurance scheme in Solo, Boyolali and Karanganyar Districts, Central Java. Journal of Health Policy and Management, 1(2), 109–119.
Ramakrishnan, N., Peter, J. V., & Chacko, B. (2023). Approach to intensive care costing and provision of cost-effective care. Indian Journal of Critical Care Medicine, 27(12), 876–887. https://doi.org/10.5005/jp-journals-10071-24576
Ranzani, O. T., Prina, E., Menendez, R., Ceccato, A., Cilloniz, C., Mendez, R., Gabarrus, A., Barbeta, E., Bassi, G. L., & Ferrer, M. (2017). New sepsis definition (Sepsis-3) and community-acquired pneumonia mortality: A validation and clinical decision-making study. American Journal of Respiratory and Critical Care Medicine, 196(10), 1287–1297.
Reardon, P. M., Fernando, S. M., Van Katwyk, S., Thavorn, K., Kobewka, D., Tanuseputro, P., et al. (2018). Characteristics, outcomes, and cost patterns of high-cost patients in the intensive care unit. Critical Care Research and Practice, 2018, 1–7. https://doi.org/10.1155/2018/5452683
Sayed, M. H. (2022). Validity of various severity scoring systems in the surgical intensive care unit. Aswan University Medical Journal, 2(2), 148–157.
Song, J. U., Sin, C. K., Park, H. K., Shim, S. R., & Lee, J. (2018). Performance of the quick Sequential (sepsis-related) Organ Failure Assessment score as a prognostic tool in infected patients outside the intensive care unit: A systematic review and meta-analysis. Critical Care, 22(1). https://doi.org/10.1186/s13054-018-1952-x
Sugiarto, D. T., & Roziq, M. (n.d.). Examining the disparities of INA CBG’s: Unveiling the actual cost using activity-based costing as a cost containment strategy (Systematic literature review).
Taofik, S., Senapathi, T. A., & Wiryana, I. M. (2015). Perbandingan validitas sistem skoring Apache II, SOFA, dan customized sequential organ failure assessment (CSOFA) untuk memperkirakan mortalitas pasien non-bedah yang dirawat di ruang perawatan intensif. Jurnal Anestesiologi Indonesia, 7(2), 102.
Yassir, M., Syam, B. Z. F., & Fahlevi, H. (2025). Determinants of cost recovery of high-need and high-cost patients? Evidence from Indonesian hospitals. F1000Research, 14, 1466.
Zajic, P., Engelbrecht, T., Graf, A., Metnitz, B., Moreno, R., Posch, M., et al. (2024). Intensive care unit caseload and workload and their association with outcomes in critically unwell patients: A large registry-based cohort analysis. Critical Care, 28(1). https://doi.org/10.1186/s13054-024-05090-z
Zhou, J., Wang, L., Chen, T., Li, C., Long, Y., Zou, X., Dong, Z., Sun, Y., Zhang, G., & Zeng, Z. (2025). Effect of plasmapheresis versus standard medical treatment in patients with hypertriglyceridemia-associated acute pancreatitis complicated by early organ failure (PERFORM-R): Study design and rationale of a multicenter, pragmatic, registry-based randomized controlled trial. Pancreatology, 25(2), 221–227.
Zilberberg, M. (2010). Understanding cost-effectiveness in the ICU. Seminars in Respiratory and Critical Care Medicine, 31(1), 13–18. https://doi.org/10.1055/s-0029-1246282
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Copyright (c) 2026 Meirina, Rudyanto Sedono, Vera Irawany, Sidharta Kusuma Manggala

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