Related Experiment Videos
[Hospital Information Systems as risk adjustment in performance indicators]
M Martins1, C Travassos, J Carvalho de Noronha
1Departamento de Administração e Planejamento em Saúde, Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brasil. martins@ensp.fiocruz.br
Revista De Saude Publica
|May 19, 2001
Summary
The Charlson Comorbidity Index (CCI) showed limited value for adjusting hospital mortality risk in the Brazilian Hospital Database (SIH/SUS). Age was a better predictor, though combining CCI with age is recommended for risk adjustment.
Area of Science:
- Healthcare Informatics
- Public Health
- Epidemiology
Background:
- Risk adjustment is crucial for comparing hospital performance.
- The Brazilian Hospital Database (SIH/SUS) is a key data source for healthcare analysis in Brazil.
- Comorbidity indices, like the Charlson Comorbidity Index (CCI), are used to account for patient severity.
Purpose of the Study:
- To analyze the utility of the SIH/SUS database for risk adjustment of hospital mortality.
- To evaluate the effectiveness of the CCI in risk adjustment using SIH/SUS data.
Main Methods:
- The CCI was applied to 40,299 hospital admissions in Rio de Janeiro.
- Multiple logistic regression analyzed the impact of CCI on mortality probability.
- The study assessed CCI's ability to measure comorbidity burden, excluding the primary diagnosis.
Main Results:
- The CCI was greater than zero in only 5.7% of admissions.
- Combining CCI with age significantly increased cases with a non-zero value.
- Risk adjustment models using CCI demonstrated low sensitivity.
Conclusions:
- Comorbidity is a significant mortality predictor but showed poor discrimination of case severity in the SIH/SUS database, likely due to incomplete diagnostic information.
- Age emerged as the most potent predictor of mortality risk within the SIH/SUS data.
- Despite data quality limitations, using CCI combined with age is recommended for risk adjustment in SIH/SUS measures.