Summary 

The SAMHI is a composite annual measure of population mental health for each Lower Super Output Area (LSOA) in England. The SAMHI combines data on mental health from multiple sources (NHS-Mental health-related hospital attendances, Prescribing data – Antidepressants, QOF - depression, and DWP - Incapacity benefit and Employment support allowance for mental illness) into a single index.


Technical description 

Each indicator was individually standardised by rescaling data to have a mean of 0 and a standard deviation of 1 (z-scores). Maximum likelihood factor analysis is used as a method for combining indicators (by finding appropriate weights) into a single score based on the inter-correlations between all the indicators. 


UK Open Government Licence
Last Update
2 years ago  
Contact
Author
  • Konstantinos Daras
  • Benjamin Barr
Citation
Daras K, Barr B (2021), Small Area Mental Health Index (SAMHI) <VERSION NUMBER> [Open Dataset], Place-based Logitudinal Data Resource, DOI: 10.17638/datacat.liverpool.ac.uk/1188
Geography
  • LSOA
  • England
DOI
8 files
SAMHI index [Version 4.00] - Indicator specification (187.04 kB)

Jul 2022 - Change of Factor Analysis approach: 2 factors have been used in the Factor analysis to balance the weights of each indicator. Previous SAMHI (v3.01) has been developed using a single factor where the Prescribing data – Antidepressants and QOF – depression indicators received a higher weighting in the index (~0.8) .

Missing values of Antidepressant Prescribing data in 2011-2013 (for about 1,172 LSOAs) have been updated.

SAMHI index [Version 3.01] - Zip file (14.94 MB)

Oct 2021 - Missing values of ‘samhi_index’ and ‘samhi_dec’ variables for 51 LSOAs have been updated for the years 2011,2012 and 2013.

SAMHI index [Version 3.00] - Zip file (14.91 MB)

Sept 2021 - SAMHI index and indicators have been updated for 2019.

SAMHI index [Version 2.00] - Zip file (13.44 MB)

Dec 2020 - Change of standardization method: The ranking method used for the ver1.0 SAMHI index was replaced by the z-score method for improving the index quality.