Association Between High-Risk Medication Usage and Healthcare Facility-Onset C. difficile Infection

Patterson, J.A. Infection Control & Hospital Epidemiology.Published online: 21 April 2016

http://wellcomeimages.org/indexplus/result.html?_IXMAXHITS_=1&_IXACTION_=query&_IXFIRST_=8&_IXSR_=tscW6Rf5Gk9&_IXSS_=_IXMAXHITS_%3d250%26_IXFPFX_%3dtemplates%252ft%26_IXFIRST_%3d1%26c%3d%2522historical%2bimages%2522%2bOR%2b%2522contemporary%2bimages%2522%2bOR%2b%2522corporate%2bimages%2522%2bOR%2b%2522contemporary%2bclinical%2bimages%2522%26%252asform%3dwellcome%252dimages%26%2524%253dsi%3dtext%26_IXACTION_%3dquery%26i_pre%3d%26IXTO%3d%26t%3d%26_IXINITSR_%3dy%26i_num%3d%26%2524%253dsort%3dsort%2bsortexpr%2bimage_sort%26w%3d%26%2524%253ds%3dclostridium%2bdifficile%26IXFROM%3d%26_IXSUBMIT_%3dSubmit%26_IXshc%3dy%26%2524%2b%2528%2528with%2bwi_sfgu%2bis%2bY%2529%2band%2bnot%2b%2528%2522contemporary%2bclinical%2bimages%2522%2bindex%2bwi_collection%2bor%2b%2522corporate%2bimages%2522%2bindex%2bwi_collection%2529%2529%2band%2bnot%2bwith%2bsys_deleted%3d%252e%26_IXrescount%3d8&_IXSPFX_=templates%2ft&_IXFPFX_=templates%2ft
Image source: David Goulding, Wellcome Trust Sanger Institute – Wellcome Images // CC BY-NC-ND 4.0

Image shows transmission electron micrograph of Clostridium difficile

Objective: National hospital performance measures for C. difficile infection (CD) are available; comparing antibacterial use among performance levels can aid in identifying effective antimicrobial stewardship strategies to reduce CDI rates.

Design: Hospital-level, cross-sectional analysis.

Methods:Hospital characteristics (ie, demographics, medications, patient mix) were obtained for 77 hospitals for 2013. Hospitals were assigned 1 of 3 levels of a CDI standardized infection ratio (SIR): ‘Worse than,’ ‘Better than,’ or ‘No different than’ a national benchmark. Analyses compared medication use (total and broad-spectrum antibacterials) for 3 metrics: days of therapy per 1,000 patient days; length of therapy; and proportion of patients receiving a medication across SIR levels. A multivariate, ordered-probit regression identified characteristics associated with SIR categories.

Results: Regarding total average antimicrobial use per patient, there was a significant difference detected in mean length of therapy: ‘No different’ hospitals having the longest (4.93 days) versus ‘Worse’ (4.78 days) and ‘Better’ (4.43 days) (P<.01). ‘Better’ hospitals used fewer total antibacterials (693 days of therapy per 1,000 patient days) versus ‘No different’ (776 days) versus ‘Worse’ (777 days) (P<.05). The ‘Better’ hospitals used broad-spectrum antibacterials for a shorter average length of therapy (4.03 days) versus ‘No different’ (4.51 days) versus ‘Worse’ (4.38 days) (P<.05). ‘Better’ hospitals used fewer broad-spectrum antibacterials (310 days of therapy per 1,000 patient days) versus ‘No different’ (364 days) versus ‘Worse’ (349 days) (P<.05). Multivariate analysis revealed that the proportion of elderly patients and chemotherapy days of therapy per 1,000 patient days was significantly negatively associated with the SIR.

Conclusions: These findings have potential implications regarding the need to fully account for hospital patient mix when carrying out inter-hospital comparisons of CDI rates.

Read the abstract here

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