Scores Predict Readmission Likelihood
Executives at hospitals getting socked with readmissions penalties up to 3% of their Medicare reimbursement may dream of a formula that accurately predicts which patients will return within 30 days, and which of those they can prevent.
But a team from Brigham and Women's Hospital in Boston, collaborating with a team in Bern, Switzerland, is closer to making that dream come true for patients with medical illnesses, (but not for surgical patients).
Through a simple risk score, they say they can identify roughly one-fourth of a hospital's patient population with the highest likelihood of being readmitted, and then within that group the18% whose readmissions were potentially avoidable, for whom more expensive, intensive efforts might be worth the money.
Among 9,212 adult discharges from July 1, 2009 to June 30, 2010, and 2,398 readmissions, the researchers were able to prospectively identify 879, or 8.5% of all discharges, who were at high risk of a potentially avoidable readmission.
Jacques Donzé, MD, lead author of the report published in JAMA Internal Medicine, and colleagues wrote, "This easy-to-use model enables physicians to prospectively identify approximately 27% of the patients as high risk of having a potentially avoidable readmission." They added that it "would allow targeting intensive transitional care interventions to patients who might benefit the most."
- CFO Exchange: Smartphones Poised to Disrupt Healthcare, Says Topol
- CNO on Hospital Redesign: 'You Can't Over-Communicate'
- How Digital Strategy Shapes Patient Engagement at Boston Children's Hospital
- Consumerism Drives Healthcare Branding, Rebranding Efforts
- PA Ranks See 'Phenomenal Growth,' Lack of Diversity
- Half of All Primary Care, Internal Medicine Jobs Unfilled in 2013
- 3 Traits Personality Assessments Can't Reveal
- Carondelet to Pay $35M to Settle Fraud Allegations
- Antibiotic Overuse a 'Huge Threat' to Patient Safety, Says CDC
- Cleveland Clinic Partners with North Shore-LIJ for Heart Care