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Table 3 Key affecting factors considered by the models and methods identified

From: Models and methods for determining the optimal number of beds in hospitals and regions: a systematic scoping review

Identified models and methods

F1

ALOS2

BOR3

CBN4

AR5

P6

ORU7

RPR8

WT9

HR10

PT11

D.P12

T.A13

F.L14

Countries using these methods/models

Models

Michigan’s Bed Need methodology

1

*

*

 

*

*

        

United States

The Status Quo model

2

    

*

        

Canada

The Current Use Projection model

3

 

*

  

*

 

*

      

Canada

The Trends in Acute Care Bed Use model

3

*

*

 

*

*

*

*

      

Canada

The Israeli model

1

 

*

 

*

*

 

*

      

Israel

The Greater Glasgow model

1

 

*

  

*

  

*

 

*

   

Scotland

The Swiss Health Observatory (SHO) model

3

*

*

 

*

*

*

       

Switzerland

Lausanne University Hospital (CHUV) model

1

*

*

 

*

*

        

Switzerland

Basic scenario model

1

*

*

 

*

*

        

Switzerland

Capacity model

1

*

   

*

*

*

  

*

*

*

*

New Zealand

Score model

3

 

*

 

*

     

*

   

France

Methods

Formula method

8

*

*

  

*

   

*

    

Brazil, Canada, France, Greece, Iran, Switzerland, United States, United Kingdom

Ratio method

3

*

  

*

         

France, Iran, United Kingdom

Regression method

2

*

*

 

*

         

Canada, Singapore

Method using the distribution of present patients

1

 

*

           

France

Simulation method

3

*

*

*

*

         

Iran, Canada

  1. 1 Frequency of use
  2. 2 Average length of stay
  3. 3 Bed occupancy rate
  4. 4 Current bed numbers
  5. 5 Admission rates
  6. 6 Population
  7. 7 Out-of-region use (inter-regional flows)
  8. 8 Region of patient residence (sub-regional access)
  9. 9 Waiting time
  10. 10 Hospitalization rates
  11. 11 Patient transfer to other providers
  12. 12 Disease prevalence
  13. 13 Technology advances
  14. 14 Funding level