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Related Experiment Videos

Establishing thresholds for adverse patient outcomes

M Z Ansari1, B T Collopy, I G McDonald

  • 1ACHS Care Evaluation Program (CEP), Australia.

International Journal for Quality in Health Care : Journal of the International Society for Quality in Health Care
|June 1, 1996
PubMed
Summary

Hospital bed size helps identify variations in patient outcomes. Larger hospitals had higher incident rates, with thresholds adjusted for size, aiding quality monitoring.

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Area of Science:

  • Healthcare quality improvement
  • Clinical performance measurement
  • Hospital administration

Background:

  • Establishing reliable thresholds for adverse patient outcomes is crucial for quality assessment.
  • Current methods often lack consideration for patient illness severity.
  • This study addresses the need for outcome thresholds without relying on severity indices.

Purpose of the Study:

  • To establish evidence-based thresholds for adverse patient outcomes.
  • To determine if hospital bed size influences these outcome rates.
  • To provide a framework for monitoring hospital quality using peer group variations.

Main Methods:

  • Analysis of Australian hospital accreditation survey data (1993-1994).
  • Stratification of acute care hospitals into small, medium, and large bed-size categories.

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  • Calculation of mean rates for adverse events and establishment of thresholds using two standard errors from the mean.

    • Main Results:

    • Adverse outcomes included pulmonary embolism, unplanned returns to OR, readmissions, wound infections, and hospital-acquired bacteraemia.
    • Larger hospitals exhibited higher mean rates of adverse incidents.
    • Outcome thresholds were generally lower for smaller hospitals and higher for larger hospitals.

    Conclusions:

    • Hospital bed size serves as a practical index for identifying variations within peer groups.
    • Methodological considerations for threshold establishment impact hospital quality monitoring.
    • Findings support using bed size stratification for performance benchmarking.