Literature DB >> 26858126

Hospital Clostridium difficile Infection Rates and Prediction of Length of Stay in Patients Without C. difficile Infection.

Aaron C Miller1, Linnea A Polgreen2, Joseph E Cavanaugh2, Philip M Polgreen2.   

Abstract

BACKGROUND Inpatient length of stay (LOS) has been used as a measure of hospital quality and efficiency. Patients with Clostridium difficile infections (CDI) have longer LOS. OBJECTIVE To describe the relationship between hospital CDI incidence and the LOS of patients without CDI. DESIGN Retrospective cohort analysis. METHODS We predicted average LOS for patients without CDI at both the hospital and patient level using hospital CDI incidence. We also controlled for hospital characteristics (eg, bed size) and patient characteristics (eg, comorbidities, age). SETTING Healthcare Cost and Utilization Project Nationwide Inpatient Sample, 2009-2011. PATIENTS The Nationwide Inpatient Sample includes patients from a 20% sample of all nonfederal US hospitals. RESULTS Inpatient LOS was significantly longer (P<.001) at hospitals with greater CDI incidence at both the hospital and individual level. At a hospital level, a percentage point increase in the CDI incidence rate was associated with more than an additional day's stay (between 1.19 and 1.61 days). At the individual level, controlling for all observable variables, a percentage point increase in the CDI incidence rate at their hospital was also associated with longer LOS (between 0.6 and 1.05 additional days). Hospital CDI incidence had a larger impact on LOS than many other commonly used predictors of LOS. CONCLUSION CDI rates are a predictor of LOS in patients without CDI at an individual and institutional level. CDI rates are easy to measure and report and thus may provide an important marker for hospital efficiency and/or quality.

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Year:  2016        PMID: 26858126      PMCID: PMC5037957          DOI: 10.1017/ice.2015.340

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


  36 in total

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8.  Hospital Transfer Network Structure as a Risk Factor for Clostridium difficile Infection.

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4.  Incidence and Outcomes Associated With Clostridium difficile Infections: A Systematic Review and Meta-analysis.

Authors:  Alexandre R Marra; Eli N Perencevich; Richard E Nelson; Matthew Samore; Karim Khader; Hsiu-Yin Chiang; Margaret L Chorazy; Loreen A Herwaldt; Daniel J Diekema; Michelle F Kuxhausen; Amy Blevins; Melissa A Ward; Jennifer S McDanel; Rajeshwari Nair; Erin Balkenende; Marin L Schweizer
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5.  Increasing rates of Clostridium difficile infection in Mexican hospitals.

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