Specific comorbidities and discharge care orders derived from electronic medical records significantly predicted 30-day hospital readmission risk among Medicare aged patients.
Observational
No
Routinely collected electronic medical record data, specifically comorbidities and discharge care orders, can identify Medicare aged patients at high risk for 30-day hospital readmission.
Readmission provisions in the Patient Protection and Affordable Care Act of March 2010 have created urgent fiscal accountability requirements for hospitals, dependent upon a better understanding of their specific populations, along with development of mechanisms to easily identify these at-risk patients. Readmissions are disruptive and costly to both patients and the health care system. Effectively addressing hospital readmissions among Medicare aged patients offers promising targets for resources aimed at improved quality of care for older patients. Routinely collected data, accessible via electronic medical records, were examined using logistic models of sociodemographic, clinical, and utilization factors to identify predictors among patients who required rehospitalization within 30 days. Specific comorbidities and discharge care orders in this urban, nonprofit hospital had significantly greater odds of predicting a Medicare aged patient's risk of readmission within 30 days.
Navarro et al. (Sun,) conducted a observational in Hospital readmission. Sociodemographic, clinical, and utilization factors was evaluated on Rehospitalization within 30 days. Specific comorbidities and discharge care orders derived from electronic medical records significantly predicted 30-day hospital readmission risk among Medicare aged patients.