Feasibility of a hyper-acute stroke unit model of care across England:  a modelling analysis
Feasibility of a hyper-acute stroke unit model of care across England:  a modelling analysis
 
  Objectives:
The policy of centralising hyperacute stroke units (HASUs) in England aims to provide stroke care in units that are both large enough to sustain expertise (>600 admissions/year) and dispersed enough to rapidly deliver time-critical treatments (<30 min maximum travel time). Currently, just over half (56%) of patients with stroke access care in such a unit. We sought to model national configurations of HASUs that would optimise both institutional size and geographical access to stroke care, to maximise the population benefit from the centralisation of stroke care.
Design Modelling of the effect of the national reconfiguration of stroke services. Optimal solutions were identified using a heuristic genetic algorithm.
Setting 127 acute stroke services in England, serving a population of 54 million people.
Participants 238 887 emergency admissions with acute stroke over a 3-year period (2013–2015).
Intervention Modelled reconfigurations of HASUs optimised for institutional size and geographical access.
Main outcome measure Travel distances and times to HASUs, proportion of patients attending a HASU with at least 600 admissions per year, and minimum and maximum HASU admissions.
Results Solutions were identified with 75–85 HASUs with annual stroke admissions in the range of 600–2000, which achieve up to 82% of patients attending a stroke unit within 30 min estimated travel time (with at least 95% and 98% of the patients being within 45 and 60 min travel time, respectively).
ConclusionsThe reconfiguration of hyperacute stroke services in England could lead to all patients being treated in a HASU with between 600 and 2000 admissions per year. However, the proportion of patients within 30 min of a HASU would fall from over 90% to 80%–82%.
  
  
  
    
      Allen, Michael
      
        a177adf5-62e3-4e62-b154-d9bf4d0cae5a
      
     
  
    
      Pearn, Kerry
      
        378600fc-7eaf-4667-a1f0-8bc6df773810
      
     
  
    
      Villeneuve, Emma
      
        95920483-a601-41db-ae55-e33fe9b06754
      
     
  
    
      Monks, Thomas
      
        fece343c-106d-461d-a1dd-71c1772627ca
      
     
  
    
      Stein, Ken
      
        dba3ca57-81c5-4172-a80e-2b38f61a7cc1
      
     
  
    
      James, Martin
      
        cdc24687-d17d-4bec-aed7-f827777f6b7a
      
     
  
  
   
  
  
    
    
  
    
    
  
    
      December 2017
    
    
  
  
    
      Allen, Michael
      
        a177adf5-62e3-4e62-b154-d9bf4d0cae5a
      
     
  
    
      Pearn, Kerry
      
        378600fc-7eaf-4667-a1f0-8bc6df773810
      
     
  
    
      Villeneuve, Emma
      
        95920483-a601-41db-ae55-e33fe9b06754
      
     
  
    
      Monks, Thomas
      
        fece343c-106d-461d-a1dd-71c1772627ca
      
     
  
    
      Stein, Ken
      
        dba3ca57-81c5-4172-a80e-2b38f61a7cc1
      
     
  
    
      James, Martin
      
        cdc24687-d17d-4bec-aed7-f827777f6b7a
      
     
  
       
    
 
  
    
      
  
  
  
  
  
  
    Allen, Michael, Pearn, Kerry, Villeneuve, Emma, Monks, Thomas, Stein, Ken and James, Martin
  
  
  
  
   
    (2017)
  
  
    
    Feasibility of a hyper-acute stroke unit model of care across England:  a modelling analysis.
  
  
  
  
    BMJ Open, 7, [e018143].
  
   (doi:10.1136/bmjopen-2017-018143). 
  
  
   
  
  
  
  
  
   
  
    
    
      
        
          Abstract
          Objectives:
The policy of centralising hyperacute stroke units (HASUs) in England aims to provide stroke care in units that are both large enough to sustain expertise (>600 admissions/year) and dispersed enough to rapidly deliver time-critical treatments (<30 min maximum travel time). Currently, just over half (56%) of patients with stroke access care in such a unit. We sought to model national configurations of HASUs that would optimise both institutional size and geographical access to stroke care, to maximise the population benefit from the centralisation of stroke care.
Design Modelling of the effect of the national reconfiguration of stroke services. Optimal solutions were identified using a heuristic genetic algorithm.
Setting 127 acute stroke services in England, serving a population of 54 million people.
Participants 238 887 emergency admissions with acute stroke over a 3-year period (2013–2015).
Intervention Modelled reconfigurations of HASUs optimised for institutional size and geographical access.
Main outcome measure Travel distances and times to HASUs, proportion of patients attending a HASU with at least 600 admissions per year, and minimum and maximum HASU admissions.
Results Solutions were identified with 75–85 HASUs with annual stroke admissions in the range of 600–2000, which achieve up to 82% of patients attending a stroke unit within 30 min estimated travel time (with at least 95% and 98% of the patients being within 45 and 60 min travel time, respectively).
ConclusionsThe reconfiguration of hyperacute stroke services in England could lead to all patients being treated in a HASU with between 600 and 2000 admissions per year. However, the proportion of patients within 30 min of a HASU would fall from over 90% to 80%–82%.
         
      
      
        
          
            
  
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 e018143.full
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      Accepted/In Press date: 12 October 2017
 
    
      e-pub ahead of print date: 14 December 2017
 
    
      Published date: December 2017
 
    
  
  
    
  
    
  
    
  
    
  
    
  
    
  
    
  
    
  
  
  
    
  
  
        Identifiers
        Local EPrints ID: 416486
        URI: http://eprints.soton.ac.uk/id/eprint/416486
        
          
        
        
        
          ISSN: 2044-6055
        
        
          PURE UUID: 81acc876-3a05-45d6-a96a-03c73d87163d
        
  
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
            
              
            
          
        
    
        
          
        
    
        
          
        
    
  
  Catalogue record
  Date deposited: 20 Dec 2017 17:30
  Last modified: 15 Mar 2024 17:30
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      Contributors
      
          
          Author:
          
            
            
              Michael Allen
            
          
        
      
          
          Author:
          
            
            
              Kerry Pearn
            
          
        
      
          
          Author:
          
            
            
              Emma Villeneuve
            
          
        
      
          
          Author:
          
            
              
              
                Thomas Monks
              
              
                 
              
            
            
          
         
      
          
          Author:
          
            
            
              Ken Stein
            
          
        
      
          
          Author:
          
            
            
              Martin James
            
          
        
      
      
      
    
  
   
  
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