Literature DB >> 22656916

Identifying risk of hospital readmission among Medicare aged patients: an approach using routinely collected data.

Adria E Navarro1, Susan Enguídanos, Kathleen H Wilber.   

Abstract

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.

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Year:  2012        PMID: 22656916     DOI: 10.1080/01621424.2012.681561

Source DB:  PubMed          Journal:  Home Health Care Serv Q        ISSN: 0162-1424


  2 in total

Review 1.  Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review.

Authors:  Benjamin A Goldstein; Ann Marie Navar; Michael J Pencina; John P A Ioannidis
Journal:  J Am Med Inform Assoc       Date:  2016-05-17       Impact factor: 4.497

2.  Hospitalizations and emergency department use in Mayo Clinic Biobank participants within the employee and community health medical home.

Authors:  Paul Y Takahashi; Euijung Ryu; Janet E Olson; Kari S Anderson; Matthew A Hathcock; Lindsey R Haas; James M Naessens; Jyotishman Pathak; Suzette J Bielinski; James R Cerhan
Journal:  Mayo Clin Proc       Date:  2013-09       Impact factor: 7.616

  2 in total

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