Skip to content

Integrated Care Board peers

The below states the aims, methodology and outcomes behind how Integrated Care Boards (ICBs) peers are created. 


Aim:

Identify which ICBs are ‘alike’ based on various characteristics


Method:

2-stage approach was used:

1. Each variable is validated and standardised by:

  a) Capping each variable value at 5 standard deviations over the mean – to avoid

      outlier effects.

  b) Taking square root of all values – to reduce skew

  c) Subtract mean and divide by the standard deviation (of square-rooted values)

2. A calculation of similarity (Euclidean distance) is then completed - this uses the standardised variables for two ICBs in each pair from the first stage of this approach and the weights associated with each variable. This produces a distance matrix, ranking the similarity distance between each ICB The similar ICBs are those with the lowest value in this matrix. The closest 5 to each ICB were chosen as the suggested set of peers.

 

Variables included in model Development:

• Deprivation
• Population
• Adult population age groups (18-39, 65-84, 85+)
• The percentage of population with Rural/Urban residence
• The percentage of population by ethnicity (White British, Non-British, Mixed, Asian, Black, Arab or Other)

To produce the aggregated ICS level data, where the variable was a proportion, a weighted average was calculated. This averages the CCG level data while also considering the proportion that the CCG’s population makes up of the overall ICS population.

 

Data sources:

• The average Index of Multiple Deprivation (2019) score in the LSOAs where CCGs' registered patients lived in April 2019
• The total population registered with CCGs' practices (April 2020)
• Adult population age groups (18-39, 65-84, 85+) in CCGs
• The percentage of people who said they are of white (non-British) ethnic origin (GP Patient Surveys 2017, 2018 and 2019)
• GP Patient Surveys 2017, 2018 and 2019)
• Percent of population who live in areas defined by the ONS Rural Urban Classification as "Rural town and fringe in a sparse setting", "Rural village and dispersed" or "Rural village and dispersed in a sparse setting" (April 2018))

 

Primary Outcome:

Lists of 5 peers for each ICB.

 

Secondary output:

Output imported onto Model Health System dashboard to support benchmarking and opportunity estimations.

 


Feedback and Knowledge Base