Literature DB >> 25782902

Substantial variation in hospital rankings after adjusting for hospital-level predictors of publicly-reported hospital-associated Clostridium difficile infection rates.

Rupak Datta1, N Neely Kazerouni2, Jon Rosenberg2, Vinh Q Nguyen3, Michael Phelan3, John Billimek4, Chenghua Cao1, Patricia McLendon2, Kate Cummings2, Susan S Huang1.   

Abstract

Across 366 California hospitals, we identified hospital-level characteristics predicting increased hospital-associated Clostridium difficile infection (HA-CDI) rates including more licensed beds, teaching and long-term acute care (LTAC) hospitals, and polymerase chain reaction testing. Adjustment for these characteristics impacted rankings in 24% of teaching hospitals, 13% of community hospitals, and 11% of LTAC hospitals.

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Year:  2015        PMID： 25782902     DOI： 10.1017/ice.2014.83

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN： 0899-823X            Impact factor:   3.254


  1 in total

1.  Electronically Available Comorbid Conditions for Risk Prediction of Healthcare-Associated Clostridium difficile Infection.

Authors:  Anthony D Harris; Alyssa N Sbarra; Surbhi Leekha; Sarah S Jackson; J Kristie Johnson; Lisa Pineles; Kerri A Thom
Journal:  Infect Control Hosp Epidemiol       Date:  2018-02-05       Impact factor: 3.254
  1 in total

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