Variation in Acute Medicine Units: Measuring it, understanding it, and reducing it

Variation in Acute Medicine Units: Measuring it, understanding it, and reducing it

Abstract

Although there are national recommendations on the function of Acute Medicine Units (AMUs), there is no single agreed best model of care. Additionally, robust data is not always available to determine whether system changes have resulted in improvement. We designed an Excel file to interface with the hospital patient management system to provide real-time data on a number of metrics including AMU length of stay (AMULOS), mortality and readmissions. This demonstrated that improving consultant continuity of care was associated with a reduction in AMULOS and reduced variation in AMULOS. Additionally, the Excel file provides timely access to consultant and individual patient-level data. These data are clinically owned, and critical for both unit governance and quality improvement work. We would encourage all AMUs to develop a similar dataset to allow standardised comparisons between units, and better understanding of the association between models of care and patient outcomes.

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Variation in Acute Medicine Units: Measuring it, understanding it, and reducing it

21st October 2016
PMID: 27759744
Authors Affiliations
Daniel J Beckett FRCP MBChB(Hons) BSc(Hons) MSc (corresponding author) Consultant in Acute Medicine, NHS Forth Valley and National Clinical Lead, Whole Systems Patient Flow Programme, Scottish Government
Elaine Thomson Senior Data Analyst, NHS Forth Valley
Lindsay EM Reid MRCP MBChB Speciality Trainee 5 in Acute Medicine and Clinical Research Fellow, Royal College of Physicians of Edinburgh
Robert C Lloyd PhD Vice President, Institute for Healthcare Improvement, Boston, USA

Variation in Acute Medicine Units: Measuring it, understanding it, and reducing it

Cite this article as:

Beckett DJ, Thomson E, Reid LE, Lloyd RC. Variation in Acute Medicine Units: Measuring it, understanding it, and reducing it. Acute Med. 2016;15(3):111-118. PMID: 27759744.

Variation in Acute Medicine Units: Measuring it, understanding it, and reducing it

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