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Related Experiment Videos

Measuring readmissions: focus on the time factor.

Torhild Heggestad1, Solfrid E Lilleeng

  • 1Sintef Unimed Health Services Research, Trondheim, Norway. torhild.heggestad@sintef.no

International Journal for Quality in Health Care : Journal of the International Society for Quality in Health Care
|April 23, 2003
PubMed
Summary

The time interval chosen significantly impacts unplanned readmission rates. A 30-day window identifies half of related readmissions but includes many unrelated ones, affecting outcome indicator reliability.

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Area of Science:

  • Healthcare quality assessment
  • Patient safety research
  • Health services research

Background:

  • Unplanned readmissions are a key indicator of healthcare quality.
  • The definition and measurement of readmissions can influence study outcomes.
  • Standardizing the observation period is crucial for consistent analysis.

Purpose of the Study:

  • To evaluate how different observation time intervals affect the assessment of unplanned readmissions as an outcome indicator.
  • To understand the sensitivity of readmission data to the chosen time frame.

Main Methods:

  • Developed a conceptual model based on risk curves to differentiate related and unrelated readmissions.
  • Utilized hazard curve characteristics to estimate readmission rates over time.

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  • Included all regional readmissions and adjusted for patient deaths.

    • Main Results:

    • The proportion of readmissions identified as related to the initial illness was highly sensitive to the selected time interval.
    • A 30-day interval captured 50% of related readmissions but included 70% of 'true positives'.
    • Hazard curves differed between medical and surgical patients, but related/unrelated proportions were similar; death adjustments had minimal impact.

    Conclusions:

    • The choice of time interval critically influences the interpretation of unplanned readmissions as an outcome measure.
    • The operational characteristics of readmission indicators must be considered within their specific application context.