JAC Advance Access published online on July 9, 2008
Journal of Antimicrobial Chemotherapy, doi:10.1093/jac/dkn275
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Original research |
Correlation between case mix index and antibiotic use in hospitals
1 Division of Infectious Diseases and Hospital Epidemiology, University Hospital, Zurich, Switzerland 2 Division of Medical Coding Statistics, University Hospital, Zurich, Switzerland 3 Cantonal Pharmacy, Zurich, Switzerland 4 SAP Customer Competence Center, University Hospital, Zurich, Switzerland
Received 2 April 2008; returned 27 April 2008; revised 22 May 2008; accepted 12 June 2008
* Corresponding author. Tel: +41-44-255-2541; Fax: +41-44-255-3291; E-mail: rainer.weber{at}usz.ch
Background: To compare the quantitative antibiotic use between hospitals or hospital units and to explore differences, adjustment for severity of illness of hospitalized patients is essential. The case mix index (CMI) is an economic surrogate marker (i.e. the total cost weights of all inpatients per a defined time period divided by the number of admissions) to describe the average patients’ morbidity of individual hospitals. We aimed to investigate the correlation between CMI and hospital antibiotic use.
Methods: We used weighted linear regression analysis to evaluate the correlation between in-hospital antibiotic use in 2006 and CMI of 18 departments of the tertiary care University Hospital Zurich and of 10 primary and 2 secondary acute care hospitals in the Canton of Zurich in Switzerland.
Results: Antibiotic use varied substantially between different departments of the university hospital [defined daily doses (DDD)/100 bed-days, 68.04; range, 20.97–323.37] and between primary and secondary care hospitals (range of DDD/100 bed-days, 15.45–57.05). Antibiotic use of university hospital departments and the different hospitals, respectively, correlated with CMI when calculated in DDD/100 bed-days [coefficient of determination (R2), 0.57 (P = 0.0002) and 0.46 (P = 0.0065)], as well as when calculated in DDD/100 admissions [R2, 0.48 (P = 0.0008) and 0.85 (P < 0.0001), respectively].
Conclusions: Antibiotic use correlated with CMI across various specialties of a university hospital and across different acute care hospitals. For benchmarking antibiotic use within and across hospitals, adjustment for CMI may be a useful tool in order to take into account the differences in hospital category and patients’ morbidities.
Key Words: diagnosis-related groups , DRGs , benchmarking , methodology