BMJ  2006;333 (12 August), doi:10.1136/bmj.333.7563.0-d

Algorithm estimates risk of hospital readmission

A sensitive and specific method for identifying patients at high risk of readmission to hospital in the next 12 months is freely available to primary care trusts in the NHS in England. Billings and colleagues (p 327) analysed data from hospital episode statistics showing all admissions within NHS trusts in England over five years. Using two 10% samples of the hospital episode statistics, they developed and validated a "patient at risk for re-hospitalisation" (PARR) algorithm which assigns a risk score from 0-100 to individual patients. Key factors predicting readmission included age, sex, ethnicity, prior hospitalisation, and clinical condition.

Credit: SIMON FRASER/SPL

 

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Relevant Article

Case finding for patients at risk of readmission to hospital: development of algorithm to identify high risk patients

John Billings, Jennifer Dixon, Tod Mijanovich, and David Wennberg
BMJ 2006 333: 327. [Abstract] [Full Text] [PDF]

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