Scores Predict Readmission Likelihood
What's more, it allows hospital teams to identify these patients at or before discharge, before they left the hospital, and before their health status was jeopardized again.
The formula they designed weighs seven factors:
- Hemoglobin levels at discharge
- Whether the patient was discharged from an Oncology service
- Sodium level at discharge
- The Procedure performed during the admission
- The Type of index admission,
- The frequency of Admissions in the prior 12 months
- The Length of the patient's hospital stay
Lined up, the algorithm's components spell HOSPITAL, which makes it easy to remember and score, Donzé said.
In response to questions, co-author Jeffrey L. Schnipper, MD, also of Brigham and Women's, in an e-mail, elaborated on how the equation would work for a hospital where 22.3% of 1,000 patients were readmitted within 30 days, or 223 patients.
Out of those 1,000 patients, those whose HOSPITAL scores were in the top 25% would be identified. From that group, 18% would have a potentially avoidable readmissions.
- Antibiotic Overuse a 'Huge Threat' to Patient Safety, Says CDC
- CFO Exchange: Smartphones Poised to Disrupt Healthcare, Says Topol
- Consumerism Drives Healthcare Branding, Rebranding Efforts
- 3 Traits Personality Assessments Can't Reveal
- PA Ranks See 'Phenomenal Growth,' Lack of Diversity
- CHS Hacked, 4.5M Patient Records Compromised
- Business Roundup: M&A Activity Down Slightly in First Half of 2014
- CFO Exchange: Healthcare Leaders Share 5 Innovative Ideas
- Large Employers Trimming Healthcare Spending
- CNO on Hospital Redesign: 'You Can't Over-Communicate'