A prospective cohort study of two predictor models for 30‐day emergency readmission in older patients

Author:

Armitage Michael N.1ORCID,Srivastava Vivek2,Allison Benjamin K.1,Williams Marcus V.1,Brandt‐Sarif Michelle1,Lee Geraldine3

Affiliation:

1. Guy's, King's, and St Thomas' School of Medicine London UK

2. Guy's and St Thomas' Hospital London UK

3. Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care King's College London London UK

Publisher

Hindawi Limited

Subject

General Medicine

Reference32 articles.

1. TrustN. Emergency readmissions: trends in emergency readmissions to hospital in England. 2018. [Online].https://www.nuffieldtrust.org.uk/news‐item/emergency‐readmissions‐trends‐in‐emergency‐readmissions‐to‐hospital‐in‐england‐1#our‐findings. Accessed September 30 2020.

2. Development of a predictive model to identify inpatients at risk of re-admission within 30 days of discharge (PARR-30)

3. Potentially Avoidable 30-Day Hospital Readmissions in Medical Patients

4. Causes and patterns of readmissions in patients with common comorbidities: retrospective cohort study

5. Validation of the Potentially Avoidable Hospital Readmission Rate as a Routine Indicator of the Quality of Hospital Care

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