Emergency readmission criterion: a technique for determining the emergency readmission time window

Area of Science:

• Health Services Research
• Biostatistics
• Health Informatics

Background:

• Defining hospital readmission often relies on arbitrary time windows (e.g., 28 days).
• Existing literature suggests varied time frames (14 to 180 days) without a standardized approach.
• Identifying appropriate readmission definitions is crucial for accurate performance measurement.

Purpose of the Study:

• To develop and validate a modeling approach for objectively defining optimal readmission time windows.
• To assess the variability in optimal time windows across different patient cohorts and healthcare providers.
• To enhance the definition of readmission as a performance indicator.

Main Methods:

• Developed a modeling approach classifying discharged patients into high-risk and low-risk readmission groups.
• Applied the model to national English data for Chronic Obstructive Pulmonary Disease (COPD), stroke, and Congestive Heart Failure (CHF) patients.
• Analyzed optimal time window widths and high-risk probabilities across 29 London-area healthcare trusts.

Main Results:

• Demonstrated significant differences in optimal readmission time window durations for COPD, stroke, and CHF.
• Identified substantial variability in optimal time windows and high-risk probabilities among London hospitals.
• The modeling approach provides data-driven evidence for defining patient-specific readmission periods.

Conclusions:

• The optimal readmission time window is condition-specific and should not be standardized across all patient groups.
• Hospital-level variations in readmission risk and optimal time windows highlight the need for tailored performance metrics.
• This data-driven modeling approach offers a more objective and precise method for defining hospital readmissions.