Literature DB >> 34039641

Frequent attendance at the emergency department shows typical features of complex systems: analysis of multicentre linked data.

Christopher Burton1, Tony Stone2, Phillip Oliver3, Jon M Dickson3, Jen Lewis2, Suzanne M Mason2.   

Abstract

OBJECTIVE: Frequent attendance at the ED is a worldwide problem. We hypothesised that frequent attendance could be understood as a feature of a complex system comprising patients, healthcare and society. Complex systems have characteristic statistical properties, with stable patterns at the level of the system emerging from unstable patterns at the level of individuals who make up the system.
METHODS: Analysis of a linked dataset of routinely collected health records from all 13 hospital trusts providing ED care in the Yorkshire and Humber region of the UK (population 5.5 million). We analysed the distribution of attendances per person in each of 3 years and measured the transition of individual patients between frequent, infrequent and non-attendance. We fitted data to power law distributions typically seen in complex systems using maximum likelihood estimation.
RESULTS: The data included 3.6 million attendances at EDs in 13 hospital trusts. 29/39 (74.3%) analyses showed a statistical fit to a power law; 2 (5.1%) fitted an alternative distribution. All trusts' data fitted a power law in at least 1 year. Differences over time and between hospital trusts were small and partly explained by demographics. In contrast, individual patients' frequent attendance was unstable between years.
CONCLUSIONS: ED attendance patterns are stable at the level of the system, but unstable at the level of individual frequent attenders. Attendances follow a power law distribution typical of complex systems. Interventions to address ED frequent attendance need to consider the whole system and not just the individual frequent attenders. © Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  access to care; emergency care systems

Mesh:

Year:  2021        PMID: 34039641     DOI: 10.1136/emermed-2020-210772

Source DB:  PubMed          Journal:  Emerg Med J        ISSN: 1472-0205            Impact factor:   2.740


  1 in total

1.  Creating a Real-World Linked Research Platform for Analyzing the Urgent and Emergency Care System.

Authors:  Suzanne Mason; Tony Stone; Richard Jacques; Jennifer Lewis; Rebecca Simpson; Maxine Kuczawski; Matthew Franklin
Journal:  Med Decis Making       Date:  2022-05-14       Impact factor: 2.749

  1 in total

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