Hospitalization stay and costs attributable to Clostridium difficile infection: a critical review

L Gabriel1, A Beriot-Mathiot2

  • 1Institute of Pharmaceutical and Biological Sciences, University Lyon 1, Lyon, France.

Insights

Clostridium difficile infection (CDI) significantly increases hospital costs and length of stay (LOS). Understanding these economic burdens is crucial for optimizing CDI prevention strategies globally.

Area of Science:

  • Healthcare Economics
  • Infectious Disease Management
  • Hospital Administration

Background:

  • Third-party payers fund most hospital costs for Clostridium difficile infection (CDI) admissions.
  • Hospitals may not recoup all costs for CDI cases that arise as complications during hospitalization.
  • Accurate cost attribution for CDI is essential for financial planning and prevention investment.

Purpose of the Study:

  • To critically review and categorize hospital costs and length of stay (LOS) attributable to Clostridium difficile infection (CDI).
  • To investigate the economic burden associated with CDI in hospitalized patients.
  • To provide data for optimizing CDI prevention incentives.

Main Methods:

  • A comprehensive literature review was conducted to identify studies reporting costs and LOS for hospitalized patients with CDI.
  • Statistical methods were employed to isolate costs and LOS solely attributable to CDI.
  • Twenty-four relevant studies were selected for analysis.

Main Results:

  • Attributable costs varied: $6,774–$10,212 for CDI requiring admission, $2,992–$29,000 for hospital-acquired CDI.
  • Attributable LOS ranged from 5–13.6 days for CDI requiring admission and 2.7–21.3 days for hospital-acquired CDI.
  • Uncategorized CDI costs ranged from $2,454–$12,850 with LOS of 2.8–17.9 days.

Conclusions:

  • Categorizing CDI-attributable costs enables budget holders to better anticipate expenses per case.
  • This economic perspective can inform the design of effective incentives for CDI prevention.
  • Optimizing global CDI prevention requires a clear understanding of associated healthcare costs.

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