Use of comorbidity measures to predict the risk of death in Brazilian in-patients

Revista de Saude Publica

Volumn 44, Issue 3, 2010, Pages 448-456

  Martins, Monica ^a  

^a INSTITUTO OSWALDO CRUZ   (Brazil)

Author keywords

Comorbidity; Health services evaluation; Hospital mortality; Risk adjustment

Indexed keywords

EID: 77955394682     PISSN: 00348910     EISSN: None     Source Type: Journal    
DOI: 10.1590/s0034-89102010005000003     Document Type: Article

References (17)

1. Aylin P, Bottle A, Majeed A. Use of administrative data or clinical databases as preditors of risk of death in hospital: comparison of models. BMJ. 2007;334(7602):1044. DOI: 10.1136/ bmj.39168.496366.55.
2. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373-83. DOI: 10.1016/0021-9681(87)90171-8.
3. Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Medical Care. 1998;36(1):8-27. DOI: 10.1097/00005650-199801000-00004.
4. Fung CH, Lim YW, Mattke S, Damberg C, Shekelle PG. Systematic review: the evidence that publishing patient care performance data improves quality of care. Ann Internal Med. 2008;148(2):111-23.
5. Groot V, Becherman H, Lankhorst G, Bouter LM. How to measure comorbidity: a critical review of available methods. J Clin Epidemiol. 2003;56(3): 221-9. DOI: 10.1016/S0895-4356(02)00585-1.
6. Iezzoni LI, editor. Risk adjustment for measuring health care outcomes. 3. ed. Ann Arbor: Health Administration; 2003.
7. Martins M, Blais R, Leite IC. Mortalidade hospitalar e tempo de permanência: comparação entre hospitais públicos e privados na região de Ribeirão Preto, São Paulo, Brasil. Cad Saude Publica. 2004;20(suppl. 2):268-82. DOI: 10.1590/S0102-311X2004000800021.
8. Martins M, Blais R. Evaluation of comorbidity indices for inpatient mortality prediction models. J Clin Epidemiol. 2006;59(7):665-9. DOI: 10.1016/j. jclinepi.2005.11.017.
9. Martins M, Travassos C, Noronha JC. Sistema de Informações Hospitalares como ajuste de risco de índices de desempenho. Rev Saude Publica. 2001;35(2):185-92. DOI: 10.1590/S0034-89102001000200013.
10. Martins MS, Travassos C. Assessing the availability of casemix information in hospital database systems in Rio de Janeiro, Brazil. Int J Qual Health Care. 1998;10(2):125-33. DOI: 10.1093/intqhc/10.2.125.
11. Needham DM, Scales DC, Laupacis A, Pronovost PJ. A systematic review of the Charlson comorbidity index using administrative databases: a perspective on risk adjustment in critical care research. J Crit Care. 2005;20(1):12-9. DOI: 10.1016/j.jcrc.2004.09.007.
12. Noronha JC, Martins M, Travassos C, Campos MR, Maia M, Panezzuti R. Aplicação da mortalidade hospitalar após a realização de cirurgia de revascularização do miocárdio para monitoramento do cuidado hospitalar. Cad Saude Publica. 2004;20 (suppl.2):322-39. DOI: 10.1590/S0102-311X2004000800025.
13. Noronha JC, Travassos C, Martins M, Campos MR, Maia P, Panezzuti R. Avaliação da relação entre volume de procedimentos e a qualidade do cuidado: o caso de cirurgia coronariana no Brasil. Cad Saude Publica. 2003;19(6):1781-9. DOI: 10.1590/S0102-311X2003000600022.
14. Quan H, Sundarajan V, Halfon P, Fong A, Burnand B, Luthi JC, et al. Coding algoritms for defi ning comorbities in ICD-9-CM and ICD-10 administrative data. Medical Care. 2005;43(11):1130-9. DOI: 10.1097/01.mlr.0000182534.19832.83.
15. Souza RC, Pinheiro RS, Coeli CM, Camargo Junior KR. The Charlson comorbidity index (CCI) for adjustment of hip fracture mortality in the elderly: analysis of the importance of recording secondary diagnoses. Cad Saude Publica. 2008;24(2):315-22. DOI: 10.1590/ S0102-311X2008000200010.
16. Sundararajan V, Quan H, Halfon P, Fushimi K, Luthi JC, Burnand B, et al. Cross-national comparative performance of three version of the ICD-10 Charlson index. Medical Care. 2007;45(12):1210-5. DOI: 10.1097/MLR.0b013e3181484347.
17. Wray NP, Hollingsworth J, Peterson N, Ashton CM. Case-mix adjustment using administrative databases: a paradigm to guide future research. Medical Care Res Rev. 1997;54(3):326-56. DOI: 10.1177/107755879705400306.