All-Cause Unplanned and Preventable Readmissions Reduction

The Problem

Unplanned and preventable readmissions to hospitals within 30 days after discharge are driving excessive healthcare cost for patients and providers. Reducing unplanned 30-day readmissions is an opportunity for many hospitals to improve quality of care and reduce the penalty stipulated by the Affordable Care Act.

Objectives

  1. Determine risk-standardized 30-day unplanned readmission rate by hospital, hospital-wide and by selected specialty cohort.
  2. Develop a 30-day unplanned readmission prediction model for nine hospitals in NE Ohio.
  3. Analyze time from discharge to next admission to identify where there are high readmission rates and patients that stay out of the hospital long enough for the healthcare provider to do something about it in an outpatient setting.
  4. Stratify patient population to surface meaningful patient characteristics across various readmission risk sectors.

Methodology

The statistical models and other analyses will be based on prior 1 to 3 year's admissions data. Data mining will be used to segment the patient population.  Multilevel logistic regression will be used to establish the prediction model.

Potential Impact

Improve quality of patient care in order to reduce unnecessary 30-day readmissions, healthcare utilizations and cost of care.

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