Predictive Modeling May Reduce Hospitalizations
A predictive model identifies patients who should receive physical therapy based on a variety of baseline factors (e.g., demographic characteristics, functional limitations, symptom severity, diagnosis type, medications, comorbidities).
The approach has generated an average of 25 additional referrals to the rehabilitation department each week, according to the authors. They further point out that the efforts may reduce hospitalizations.
"Preliminary analyses from their investigation revealed that patients who received physical therapy were 37% less likely to be hospitalized compared with patients who did not receive physical therapy services," they write.
Despite the reduction in hospitalizations, the authors stress that more research is needed. "While it is assumed that HIT initiatives such as the Quality Scorecard and Hospitalization Risk Score have contributed to better outcomes among VNSNY home healthcare patients, this needs to be explicitly tested in a controlled research study."
- 'Mega Boards' Could be Rural Healthcare Disruptor
- 1 in 5 Eligible Hospitals Penalized for HACs
- HL20: Rebecca Katz—Cooking Up Sustainable Nourishment
- Meaningful Use Payment Adjustments Begin
- HL20: Peter Semczuk, DDS, MPH—Taking on the Big Challenges
- PA hospital to pay $662,000 to settle Medicare fraud case
- Supreme Court to hear Obamacare subsidy challenge in March
- Dr. Oz gets fact-checked and the results aren't pretty
- How the high cost of medical care is affecting Americans
- Why single payer died in VT