Diagnosis-Related Group - Based Case-Mix Index and Hospital Efficiency: A Systematic Review
Keywords:
Risk adjustment, inpatient financing, cost variation, resource utilization, payment reform, performance measurement, health system reformAbstract
Fair comparison of hospital efficiency requires adjustment for differences in patient complexity and resource needs. Objective: This systematic review synthesized how Diagnosis-Related Group (DRG)-based case-mix measures have been used in hospital efficiency assessment, resource allocation, and payment reform. Methods: Following PRISMA 2020 principles, PubMed, Scopus, Web of Science, and Google Scholar were searched for English-language studies published from January 2002 to December 2025. Eligible studies examined DRG or case-mix measures in inpatient hospital settings and reported efficiency, cost, resource-use, financing, or performance outcomes. Results: Ten studies met the inclusion criteria. Most used the Case-Mix Index (CMI) as a measure of clinical complexity and as a benchmark for payment or resource allocation. CMI was most consistently related to cost variation, inpatient expenditure, resource utilization, and length of stay. Fewer studies incorporated CMI directly into formal efficiency models. Conclusion: CMI is useful for risk-adjusted comparison of hospital performance, but it should not be interpreted as a standalone measure of efficiency. Strong coding systems, quality monitoring, and additional patient-level adjustment are needed for fair financing and policy use.
0
References
Alshehri, A., Balkhi, B., Gleeson, G., & Atassi, E. (2023). Efficiency and resource allocation in government hospitals in Saudi Arabia: A casemix index approach. Healthcare, 11(18), 2513. https://doi.org/10.3390/healthcare11182513
Ash, A. S., Ellis, R. P., Pope, G. C., Ayanian, J. Z., Bates, D. W., Burstin, H., & Yu, W. (2000). Using diagnoses to describe populations and predict costs. Health Care Financing Review, 21, 7–28.
Busse, R., Geissler, A., Quentin, W., & Wiley, M. (Eds.). (2011). Diagnosis-related groups in Europe: Moving towards transparency, efficiency and quality in hospitals. Open University Press.
Busse, R., Geissler, A., Quentin, W., & Wiley, M. (2013). Diagnosis-related groups in Europe: The state of the art. Health Policy, 111, 1–9.
Centers for Medicare & Medicaid Services. (1983). Medicare prospective payment system. CMS.
Centers for Medicare & Medicaid Services. (2019). DRG weights and case mix index calculation methodology. CMS.
Centers for Medicare & Medicaid Services. (2022). Diagnosis-related groups (DRGs) and case mix index. CMS.
Chen, Y. J., Zhang, X. Y., Yan, J. Q., Tang, X., Qian, M. C., & Ying, X. H. (2023). Impact of diagnosis-related groups on inpatient quality of health care: A systematic review and meta-analysis. Inquiry, 60, 1–16. https://doi.org/10.1177/00469580231167011
Du, S., Liu, Y., Yang, C., Yang, Y., & Yang, Y. (2025). How DRG payment reform shapes inpatient neurological care in an underdeveloped region: Evidence from a controlled interrupted time series study in Yunnan, China. Risk Management and Healthcare Policy, 18, 2575–2590. https://doi.org/10.2147/RMHP.S530693
Ellis, R. P., & McGuire, T. G. (1993). Supply-side and demand-side cost sharing in health care. Journal of Economic Perspectives, 7(4), 135–151. https://doi.org/10.1257/jep.7.4.135
Ellis, R. P., & McGuire, T. G. (1996). Hospital response to prospective payment: Moral hazard, selection, and practice-style effects. Journal of Health Economics, 15, 257–277. https://doi.org/10.1016/0167-6296(96)00002-1
Fetter, R. B., Shin, Y., Freeman, J. L., Averill, R. F., & Thompson, J. D. (1980). Case mix definition by diagnosis-related groups. Medical Care, 18, 1–53.
Forgione, D. A., & Vermeer, T. E. (2002). Toward an international case mix index for comparisons in OECD countries. Journal of Health Care Finance, 29, 38–52.
Forgione, D. A., Vermeer, T. E., Surysekar, K., Wrieden, J., & Plante, C. C. (2004). The impact of DRG-based payment systems on quality of health care in OECD countries. Journal of Health Care Finance, 31, 41–54.
Hensen, P., Fürstenberg, T., Luger, T. A., Steinhoff, M., & Roeder, N. (2005). Case mix measures and diagnosis-related groups: Opportunities and threats for inpatient dermatology. Journal of the European Academy of Dermatology and Venereology, 19, 582–588. https://doi.org/10.1111/j.1468-3083.2005.01258.x
Hvenegaard, A., Street, A., Sørensen, T. H., & Gyrd-Hansen, D. (2009). Comparing hospital costs: What is gained by accounting for more than a case-mix index? Social Science & Medicine, 69, 640–647. https://doi.org/10.1016/j.socscimed.2009.05.047
Iezzoni, L. I. (2012). The risks of risk adjustment. JAMA, 307, 1600–1601.
Iezzoni, L. I. (2013). Risk adjustment for measuring health care outcomes (4th ed.). Health Administration Press.
Lane-Fall, M. B., Neuman, C. J., & Pronovost, D. A. (2013). Outcomes measures and risk adjustment. Journal of Perioperative Outcomes. https://doi.org/10.1097/AIA.0b013e3182a70a52
Mathauer, I., & Wittenbecher, F. (2012). DRG-based payment systems in low- and middle-income countries: Implementation experiences. Health Policy, 102, 140–147.
Mathauer, I., & Wittenbecher, F. (2013). Hospital payment systems based on diagnosis-related groups: Experiences in low-income countries. Bulletin of the World Health Organization, 91, 746–756. https://doi.org/10.2471/BLT.12.115931
McGuire, T. G. (2000). Physician agency. In A. J. Culyer & J. P. Newhouse (Eds.), Handbook of health economics (pp. 461–536). Elsevier. https://doi.org/10.1016/S1574-0064(00)80168-7
Newhouse, J. P. (1998). Risk adjustment: Where are we now? Inquiry, 35, 122–131.
Newhouse, J. P., et al. (1980). Issues in risk adjustment for health plan payment. Health Care Financing Review, 1, 1–16.
Organisation for Economic Co-operation and Development. (2006). Health care quality indicators project: Conceptual framework. OECD Publishing.
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Pi, S., Masterson, J., Ma, S. P., Corbin, C. K., Milstein, A., & Chen, J. H. (2024). Using case mix index within diagnosis-related groups to evaluate variation in hospitalization costs at a large academic medical center. AMIA Annual Symposium Proceedings, 1201–1208.
Quentin, A., Scheller-Kreinsen, D., Blümel, M., & Busse, R. (2013). Hospital payment based on diagnosis-related groups differs in Europe and holds lessons for the United States. Health Affairs, 32, 713–723. https://doi.org/10.1377/hlthaff.2012.0876
Street, A., et al. (2011). Paying hospitals by activity: Lessons from international experience. Health Policy, 102, 209–218.
Vitikainen, K., Street, A., & Linna, M. (2009). Estimation of hospital efficiency: Do different definitions and casemix measures for hospital output affect the results? Health Policy, 89, 149–159. https://doi.org/10.1016/j.healthpol.2008.05.012
Wennberg, J. (1973). Small area variations in health care delivery. Science, 182, 1102–1108.
Wennberg, J., & Gittelsohn, A. (1973). Small area variations in health care delivery: A population-based health information system can guide planning and regulatory decision-making. Science, 182, 1102–1108 .
World Health Organization. (2019). Strategic purchasing for universal health coverage: Key policy issues and questions. World Health Organization.
Zhao, C., Wang, C., Shen, C., & Wang, Q. (2018). Diagnosis-related group (DRG)-based case-mix funding system, a promising alternative for fee-for-service payment in China. Bioscience Trends, 12, 109–115. https://doi.org/10.5582/bst.2017.01289
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Buyantogtokh Batsukh, Amarzaya Batchimeg, Ganzorig Batbaatar, Nursabi Khizatkhan, Dariimaa Ganbat, Khongorzul Altangerel

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright on any research article in the Mongolian Geoscientist is retained by the author(s).
The authors grant the Mongolian Journal of Economic Review a license to publish the article and identify itself as the original publisher.

Articles in the Mongolian Journal of Economic Review are Open Access articles published under a Creative Commons ATTRIBUTION-NONCOMMERCIAL-NODERIVS 4.0 INTERNATIONAL - CC BY-NC-ND 4.0.
This license permits use, distribution and reproduction in any medium, provided the original work is properly cited.