The researchers tracked patient movement at a large, academic medical center in the United States. The study includes surgical discharge data from fiscal year 2007 — covering more than 7,800 surgery patients who collectively spent 35,500 nights at the facility — occupancy rates, day of the week, staffing levels and surgical volume.
They found patients discharged when the hospital was busiest were 50 percent more likely to return for treatment within three days. This suggests recovery was incomplete when patients were first released, the authors said. Risk factors include high pressure to turn over patients and lack of discharge planning. The researchers recommend better planning and other logistical solutions to avoid these problems.
Related Articles on Readmissions:
Hospital Readmissions Linked to Availability of Care, Socioeconomics
Expensive Hospital Readmission Linked to Healthcare-Associated Infections
NQF Endorses All-Cause Unplanned Readmissions Measures
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.