A practical index to support hospital sustainability
DOI:
https://doi.org/10.21115/JBES.v18.p6-9Keywords:
Item Response Theory (IRT), Critical indicators, Efficiency and Sustainability Index, Hospital performance, Health system sustainability, Diagnosis-Related GroupsAbstract
Objective: The pandemic highlighted the need to ensure the sustainability of the health system,
prompting the Brazilian company 2iM to develop new evaluation models for hospitals, doctors, and
health plan operators, using the Health Value Score. The Item Response Theory (IRT) is now presented as a new fundamental mathematical tool in hospital evaluation, allowing the identification of critical indicators and the promotion of financial and operational sustainability. Methods: The article proposes a hospital performance evaluation method based on IRT, using software that collects data on admissions, applies the APR DRG system to classify information, and generates insights for identifying key indicators such as length of stay, discharge with scheduled time, readmissions, deaths, and costs. Results: Highlighted results include a 76.50% performance in length of stay, 69.31% in discharge with scheduled time, and 75.99% in turnover. The average length of stay was 4.11 days, compared to the ideal of 2.90 days, representing a revenue opportunity of R$ 1.6 billion between 2020 and 2024. Additionally, 30.69% of discharges occurred outside the scheduled time, creating an additional revenue opportunity of R$ 474 million, considering the importance of compliance with hospital logistics. Conclusion: The Hospital Efficiency Index proved to be simple and practical in application and understanding, indicating key points of attention and review in hospital
management.
Downloads
References
Brasil. Ministério da Saúde.(2021).Manual Técnico do Sistema de Grupos de Diagnósticos Relacionados (DRG).
Busse, R., Geissler, A., Quentin, W., & Wiley, M. (Eds.) (2011). *Grupos relacionados ao diagnóstico na Europa: caminhando em direção à transparência, eficiência e qualidade nos hospitais
Fetter, RB, Shin, Y., Freeman, JL, Averill, RF, e Thompson, JD(1980). *Mistura de casos Definição de combinação de casos por grupos relacionados ao diagnóstico .
Fung V, Schmittidiel JA, Fireman B, Meer A, Thomas S, Smider N, et al. Meaningful variation in performance: a systematic review. Med Care. 2010;48:140-8.
Groene O, Skau JKH, Frølich A. An international review of projects on hospital performance assessment. Int J Qual Health Care. 2008;20:162-71.
Gerritsen M, Peet C. Aplicação da teoria de resposta ao item em cuidados de saúde: como ela pode ser usada para avaliar a qualidade em hospitais? Int J Qual Health Care. 2016;28(6):784-91.
R Core Team. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2024.
Rizopoulos D. ltm: An R package for latent variable modeling and item response analysis. J Stat Softw. 2006;17:1-25.
Samejima F. The general graded response model. In: Handbook of polytomous item response theory models. New York: Routledge; 2010. p. 77-107.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Jornal Brasileiro de Economia da Saúde

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Esta licença permite que os usuários distribuam, remixem, adaptem e criem obras derivadas a partir do material em qualquer meio ou formato, exclusivamente para fins não comerciais e desde que seja feita a devida atribuição ao criador. A licença CC BY-NC inclui os seguintes elementos:
BY: É necessário dar crédito ao criador.
NC: Somente usos não comerciais da obra são permitidos.
