Predictive validity of tools used to assess the risk of unplanned admissions: A rapid review of the evidence.
Centre for Reviews and Dissemination
Record ID 32014001375
English
Authors' objectives:
To conduct a rapid synthesis of evidence assessing the predictive ability of tools used to identify frail elderly and people living with multiple long-term chronic health conditions who are at risk of future unplanned hospital
admissions.
Details
Project Status:
Completed
Year Published:
2014
URL for published report:
http://www.york.ac.uk/inst/crd/pdf/predicting%20unplanned%20admissions.pdf
English language abstract:
An English language summary is available
Publication Type:
Not Assigned
Country:
England
MeSH Terms
- Humans
- Patient Admission
- Risk Assessment
Contact
Organisation Name:
University of York
Contact Address:
University of York, York, Y01 5DD, United Kingdom. Tel: +44 1904 321040, Fax: +44 1904 321041,
Contact Name:
crd@york.ac.uk
Contact Email:
crd@york.ac.uk
Copyright:
University of York
This is a bibliographic record of a published health technology assessment from a member of INAHTA or other HTA producer. No evaluation of the quality of this assessment has been made for the HTA database.