Journal article
Hospital Clostridium difficile Infection Rates and Prediction of Length of Stay in Patients Without C. difficile Infection
Infection control and hospital epidemiology, Vol.37(4), pp.404-410
04/2016
DOI: 10.1017/ice.2015.340
PMCID: PMC5037957
PMID: 26858126
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.
Details
- Title: Subtitle
- Hospital Clostridium difficile Infection Rates and Prediction of Length of Stay in Patients Without C. difficile Infection
- Creators
- Aaron C Miller - 1Cornell College,Mount Vernon,IowaLinnea A Polgreen - 2University of Iowa,Iowa City,IowaJoseph E Cavanaugh - 2University of Iowa,Iowa City,IowaPhilip M Polgreen - 2University of Iowa,Iowa City,Iowa
- Resource Type
- Journal article
- Publication Details
- Infection control and hospital epidemiology, Vol.37(4), pp.404-410
- DOI
- 10.1017/ice.2015.340
- PMID
- 26858126
- PMCID
- PMC5037957
- NLM abbreviation
- Infect Control Hosp Epidemiol
- ISSN
- 1559-6834
- eISSN
- 1559-6834
- Publisher
- United States
- Grant note
- K25 HL122305 / NHLBI NIH HHS K25HL122305 / NHLBI NIH HHS
- Language
- English
- Date published
- 04/2016
- Academic Unit
- Statistics and Actuarial Science; Infectious Diseases; Epidemiology; Economics; Biostatistics; Pharmacy Practice and Science; Injury Prevention Research Center; Internal Medicine
- Record Identifier
- 9983985966502771
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