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Administrative data outperformed single-day chart review for comorbidity measure

Luthi, Jean-Christophe ; Troillet, Nicolas ; Eisenring, Marie-Christine ; Sax, Hugo ; Burnand, Bernard ; Quan, Hude ; Ghali, William

In: International Journal for Quality in Health Care, 2007, vol. 19, no. 4, p. 225-231

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    Titre
    • Administrative data outperformed single-day chart review for comorbidity measure
    Auteur
    • Luthi, Jean-Christophe. Health Observatory, Canton of Valais, Switzerland
    • Troillet, Nicolas. Centre for Infections Diseases and Epidemiology, Central Institute of the Valais Hospitals, Switzerland
    • Eisenring, Marie-Christine. Centre for Infections Diseases and Epidemiology, Central Institute of the Valais Hospitals, Switzerland
    • Sax, Hugo. Infection Control Programme, University of Geneva Hospitals, Switzerland
    • Burnand, Bernard. Health Care Evaluation Unit, Institute of Social and Preventive Medicine, University of Lausanne, Switzerland
    • Quan, Hude. Centre for Health and Policy Studies, University of Calgary, Calgary, Alberta, Canada
    • Ghali, William. Centre for Health and Policy Studies, University of Calgary, Calgary, Alberta, Canada
    Type de document
    • Postprint
    Langue
    • Anglais
    Publié dans
    • International Journal for Quality in Health Care, 2007, vol. 19, no. 4, p. 225-231. Oxford University Press
    Autre version électronique
    Identifiant OAI-PMH
    • oai:doc.rero.ch:292937
    Summary
    AbstractObjective The purpose of this article is to compare the Charlson comorbidity index derived from a rapid single-day chart review with the same index derived from administrative data to determine how well each predicted inpatient mortality and nosocomial infection. Design Cross-sectional study. Setting The study was conducted in the context of the Swiss Nosocomial Infection Prevalence (SNIP) study in six hospitals, canton of Valais, Switzerland, in 2002 and 2003. Participants We included 890 adult patients hospitalized from acute care wards. Main outcome measures The Charlson comorbidity index was recorded during one single-day for the SNIP study, and from administrative data (International Classification of Disease, 10th revision codes). Outcomes of interest were hospital mortality and nosocomial infection. Results Out of 17 comorbidities from the Charlson index, 11 had higher prevalence in administrative data, 4 a lower and two a similar compared with the single-day chart review. Kappa values between both databases ranged from − 0.001 to 0.56. Using logistic regression to predict hospital outcomes, Charlson index derived from administrative data provided a higher C statistic compared with single-day chart review for hospital mortality (C = 0.863 and C = 0.795, respectively) and for nosocomial infection (C = 0.645 and C = 0.614, respectively). Conclusions The Charlson index derived from administrative data was superior to the index derived from rapid single-day chart review. We suggest therefore using administrative data, instead of single-day chart review, when assessing comorbidities in the context of the evaluation of nosocomial infections